CARDIFF SCHOOL OF SPORT DEGREE OF BACHELOR OF SCIENCE (HONOURS) SPORT AND PHYSICAL EDUCATION TITLE: Frequency and perceptions of precompetition symptoms (thoughts and feelings) in elite and non-elite athletes. NAME: Harriet Major UNIVERSITY NUMBER: 09001535 NAME: HARRIET ANN MAJOR UNIVERSITY NUMBER: 09001535 SCHOOL OF SPORT CARDIFF METROPOLITAN UNIVERSITY FREQUENCY AND PERCEPTIONS OF PRECOMPETITION SYMPTOMS IN ELITE AND NON-ELITE ATHLETES TABLE OF CONTENTS Acknowledgments i ii Abstract CHAPTER ONE INTRODUCTION Introduction Page Number 1 CHAPTER TWO LITERATURE REVIEW 2.1 Introduction 3 2.2 Definitions of Competitive Anxiety 3 2.3 Multidimensional Anxiety Approach 4 2.4 The Competitive State Anxiety Inventory (CSAI-2) 4 2.5 Limitations of the CSAI-2 5 2.6 The notion of directional perceptions 6 2.7 Performance studies 7 2.8 Frequency and Intensity 8 2.9 Temporal patterning 9 2.10 Hypothesises 10 2.10.1 Frequency predictions 11 2.10.2 Directional perceptions predictions 11 CHAPTER THREE METHOD Page Number 3.1 Participants 12 3.2 Instrumentation 12 3.3 Procedure 13 3.4 Data Analysis 14 CHAPTER FOUR RESULTS 4.1 Internal Reliability and Correlation Analysis 15 4.2 Data pre-screen 17 4.3 Multivariate Analysis of Variance 19 4.4 Frequency of Intrusions (three time periods) 20 4.5 Directional Perceptions of Anxiety Frequency (three time periods) 21 4.6 Frequency of Intrusions (two time periods) 23 4.7 Directional Perceptions of Anxiety Frequency (two time periods) 24 CHAPTER FIVE DISCUSSION Page Number 5.1 Skill Level 25 5.2 Time-to-Competition 28 5.3 Practical Implications 31 5.4 Strengths and Limitations 32 5.5 Future Directions 33 CHAPTER SIX CONCLUSION 6.1 Main findings 34 REFERENCES APPENDICES APPENDIX A Competitive State Anxiety Inventory-2 APPENDIX B Informed Consent Form 35 LIST OF TABLES Page Number Table 1 CSAI-2 Internal Reliability Coefficients (Cronbach Alpha) 16 Table 2 Interrelationships between the CSAI-2 dimensions (Data set 1) 16 Table 3 Interrelationships between the CSAI-2 dimensions (Data set 2) 17 Table 4 Tests of Normality Violations across the three time periods 18 Table 5 Tests of Normality Violations across the two time periods 18 Table 6 Anxiety and Confidence Means and Standard Deviations over three time periods collapsed across all skill levels (Data set 1). 19 Table 7 Anxiety and confidence means and Standard Deviations over two time periods collapsed across all skill levels (Data set 2). 20 LIST OF FIGURES Page Number Figure 1 Change over time patterns for Frequency of responses (Data set 1) 21 Figure 2 Change over time patterns for Directional perceptions of frequency (Data set 1) 22 Figure 3 Change over time patterns for Frequency of responses (Data set 2) 24 Figure 4 Change over time patterns for Directional perceptions of anxiety frequency (Data set 2) 24 Acknowledgements I would like to thank Dr. Owen Thomas for his encouragement and guidance throughout this study. I would also like to thank Dr. David Wasley for his support with SPSS. I would like to thank the participants and Rounder’s England Head Office, as without you this study would not have been possible. I would also like to thank my Mum, Dad and Sister for their continued love and support. Finally, a huge thank you must go to the 161 Arabella girls as I could not have got through this experience without you. i Abstract Research has suggested that the measurement of competitive state anxiety may benefit from applying a more detailed approach, as oppose to the traditional intensity‐alone perspective (Jones & Swain, 1992). Thus, the purpose of this study is to extend the competitive anxiety literature, by modifying Marten’s original Competitive State Anxiety Inventory-2 (CSAI-2), to include scales for frequency (Swain & Jones, 1993) and perceptions of pre-competition frequency symptoms (Jones & Swain, 1992). This study aims to examine the differences in pre- competition symptoms and interpretations between elite and non elite athletes, preceding competition. Participants consisted of 93 England Rounder’s trialists, competing for a position in England’s U14 and U16 squads. Participants were asked to complete the 27 item questionnaire on three time periods (7 days, 1 day, & 1 hour) pre-competition. The modified CSAI-2 was distributed to the trialists through email, 7 days and 24 hours prior to the athlete’s trial. Participants were handed a final copy of the questionnaire to complete, 1 hour pre-competition. It was concluded that elite athletes do not differ from their non-elite athlete counterparts in their frequencies or interpretations of pre-competition anxiety symptoms. However, single time analysis suggested that elite athletes experience greater amounts of cognitive frequency, 1 hour pre-competition. Important practical implications emanated, particularly the need for coaches to encourage young athletes to gain more experience in a competitive sporting environment, to help them understand what anxiety is, and how it affects their performance. Additionally, the current findings identify the key roles that coaches and sport psychologists have in nurturing the athlete’s ability to redirect their symptoms of anxiety, to facilitate their performance. ii CHAPTER I INTRODUCTION 1.1 Introduction The responsibility as England’s kicker does scare me. I worry all the time about it, but the important thing is that I know I can worry about it. It's not a bad thing, or a detrimental thing, to worry. As long as when I go to take the kick … I can be as fearful as I like and think: ‘I’m really, really concerned about this’. But as long as everything is in place, the ball will go where you want it to (Jonny Wilkinson on kicking in rugby; The Guardian, 2003). This quote offers valuable insight into how the presence of anxiety can be used as a motivational tool, to facilitate performance by highly elite performers. As a result, extensive research within the topic of competitive anxiety has been conducted, due to the potential impacts anxiety can have on an athletes’ performance (Jones, 1995; Biddle, 1997; Woodman & Hardy, 2001; Neil & Christensen, 2007). However, before athletes can use their anxiety to enhance their performance, their pre-competition state anxiety must be measured, to allow sport psychologists to apply appropriate managerial and/or coping strategies, to enable athletes to reach optimal performance. Martens, Burton, Vealey, Bump, and Smith’s (1990) questionnaire; labelled The Competitive State Anxiety Inventory-2 (CSAI-2) has prevailed in the competitive anxiety literature as the scale of choice when measuring competitive state anxiety (Jones 1991; Jones & Swain, 1992; Jones, Swain & Hardy, 1993; Jones, Hanton, & Swain, 1994; Jones, 1995; Jones & Swain, 1995). Marten’s (1990) original CSAI-2 measured the athlete’s levels (intensity) of anxiety symptoms. Further, in 1992 Jones and Swain advanced Martens et al. (1990) inventory through the application of a directional perceptions scale, which measured how athletes viewed the occurrence of their intensity symptoms as either positive (facilitative) or negative (debilitative) towards their upcoming performance. A large quantity of research has provided support for the directional perceptions scale, such as Jones (1995) control model, which found evidence to suggest that similar sporting experiences can cause performers to respond in different ways. One performer might be concerned about an upcoming event, to the extent that she/he is worried and in a near panic state. Another performer who is also 'very 1 concerned' might view such a state as very necessary since it signals the importance of the event and means that she or he will invest effort in it, thus constituting a motivated, facilitative state (Jones, 1995, p.463). Further researchers (e.g., Jones et al., 1994; Jones & Swain, 1995) have suggested that the directional perceptions scale is the most important dimension when comparing elite versus non elite performers. Although Martens directional perception scale has received support from researchers (e.g., Jones 1991; Jones & Swain 1992; Jones et al., 1993; 1994; Jones, 1995; Jones & Swain, 1995), Jones (1991) reported issues within the intensity scale when measuring competitive anxiety. Thus, through empirical research Swain and Jones (1993) created the frequency of intrusions scale, which they defined as “the amount of time athletes spend attending to symptoms experienced concerning competition” (1993, p 526). Swain and Jones (1993) reported that the frequency of intrusions scale appeared to be a more relevant scale, when measuring competitive state anxiety through time-to-event research. However, limited research attention has been directed towards measuring the fluctuation in an athlete’s frequency of anxiety symptoms in the time preceding competition. Further, research that has utilised Swain and Jone’s (1993) frequency scale has failed to measure athletes directional perceptions of pre-competition frequency symptoms. Therefore, the main aim of the current study was to examine the frequency and directional perceptions of pre-competition frequency symptoms in elite and non-elite athletes, in the time leading up to competition. To the authors’ knowledge, previous competitive anxiety research has failed to examine skill level differences in the frequency and perceptions of pre-competition symptoms, of cognitive anxiety, somatic anxiety, and self confidence, in the build up to competition. Thus, the results generated from the present study would aid sport psychologists, as it would provide an evidence base for the timing of stress management interventions. 2 CHAPTER II LITERATURE REVIEW 2.1 Introduction The literature reviewed in this chapter aims to provide the reader with an overview of the research within the competitive state anxiety literature. This chapter will discuss The Competitive State Anxiety Inventory-2 (CSAI-2) and provide an overview of some of the modifications that have been administered to the questionnaire. Additionally, the present study measures athletes competitive anxiety responses over a temporal pattern, thus research examples that have administered a temporal element will be drawn upon, to demonstrate previous research findings. 2.2 Definitions of Competitive Anxiety Research within the competitive anxiety domain was able to expand and progress, once research identified anxiety to be a response to specific situations, rather than solely a unitary phenomenon (Spielberger, 1966). As a result of this, research conducted throughout the early nineties was devoted to exploring the structure and measurement of competitive anxiety. Many definitions of competitive anxiety have existed within the sport psychology literature. Initially anxiety was defined as a negative reaction by an individual to stressful situations, with stressors as the stimulus (Spielberger, 1972; Jones, 1995). Advancements within the measurement of competitive anxiety resulted in a more detailed definition of anxiety to emerge, which Mellalieu, Hanton and Fletcher (2006) provided. They defined anxiety as a negative emotional response to competition stressors, but acknowledged that athletes may interpret their anxiety symptoms as beneficial to their upcoming performance. Further, Hanton, Mellalieu, Neil and Fletcher (2008) stated that anxiety was a specific negative emotional response which occurs when athletes appraise competitive stressors as uncertain threats. They also indicated that these responses may include symptoms such as worry and a heightened perception of physiological arousal. For the purpose of guiding the present research the definition by Hanton et al. (2008) will be adopted. 3 2.3 Multidimensional Anxiety Approach A key movement in the competitive state anxiety literature developed once clinical and test anxiety research acknowledged anxiety to be a multidimensional construct, as opposed to the formerly believed uni-dimensional construct (Liebert & Morris, 1967; Wine, 1971; Borkovec, 1976; Davidson & Schwartz, 1976; Davidson, 1978), which resulted in the separation of competitive state anxiety into two distinct parts; a cognitive component and a somatic component. Martens et al. (1990) defined cognitive anxiety as reflecting upon negative expectations about performance. More current research by Jones and Uphill (2004), expanded Martens et al. (1990) definition, suggesting that cognitive anxiety was ‘characterised by negative expectancies and self-doubts’ (p. 203). Preliminary research by Morris, Harris and Rovins (1981), defined somatic anxiety as the physiological affects perceived by athletes. Further research by Martens et al. (1990, p. 121) developed Morris’s definition, defining somatic anxiety as the ‘…physiological and affective elements of the anxiety experience that develop directly from autonomic arousal’. The Multidimensional Anxiety Theory (Marten et al., 1990) proposed that these two different components could be distinguished in the anxiety response, suggesting that cognitive anxiety would display a negative, yet linear relationship with performance (Wine, 1971; Gould, Petlichoff, & Weinberg, 1984), whilst somatic anxiety would disappear quickly once competition begun, and would display an inverted-U shaped relationship with performance. 2.4 The Competitive State Anxiety Inventory (CSAI-2) In order to assess the multidimensional aspects of anxiety, Martens et al. (1990) developed the Competitive State Anxiety Inventory-2 (CSAI-2). This instrument possessed 27 items, and measured three independent subscales; cognitive anxiety, somatic anxiety and self confidence. Self confidence unintentionally emerged as a third construct as a result of an exploratory factor analysis of the CSAI-2 items (Craft, Maygar, Becker & Feltz, 2003). Martens et al. (1990) separated cognitive anxiety into two factors, labelled cognitive anxiety and self confidence (Woodman & Hardy, 2003) based upon the way in which the items 4 were phrased. Studies (e.g., Jones, 1991; Jones & Swain, 1992; Jones et al., 1993; 1994; Jones, 1995; Jones & Swain, 1995; Hanton, Thomas & Manyard, 2004; Thomas, Maynard & Hanton, 2004) that have utilised Marten et al. (1990) scale, have supported the separation of cognitive anxiety, somatic anxiety, and self confidence into its constituent parts, which show them to have different temporal characteristics and respond differently to interventions. 2.5 Limitations of the CSAI-2 Although some research studies have provided support for the multidimensional anxiety predictions (Gould et al., 1984; Martens et al., 1990), a handful of researchers have opposed these predictions (Caruso, Dzewaltowski, Gill & McElroy, 1990; Parfitt, Jones & Hardy, 1990). These researchers have suggested inconsistencies within the CSAI-2, predominantly the scales failure to consider the interactive effects of the competitive anxiety subcomponents upon performance. Further, issues regarding the predictions of the CSAI-2 have been identified; examples include the concept of cognitive anxiety and self-confidence being at opposite ends of a ‘cognitive evaluation continuum’ (Jones, 1991), while other researchers have suggested that self-confidence accounts for a greater proportion of variance in performance than cognitive or somatic anxiety (Hardy, 1996). What's more, the construct validity of the CSAI-2 has been questioned by researchers (Burton & Naylor, 1997; Kerr, 1997; Lane, Sewell, Terry, Bartram, & Nesti, 1999), with reference to the use of confusing terminology and statements that are phrased in a too neutral manner. However, research by Burton (1988) and Cox, Russell, and Robb (1998) reported high validity and reliability coefficients within each of the anxiety constructs, with reliability scores attaining 0.67 for Cognitive anxiety, 0.69 for Somatic anxiety, and 0.75 for Self-confidence. Despite the issues p-+6roposed by researchers (Caruso et al., 1990; Parfitt et al., 1990; Hardy, 1996), the Competitive State Anxiety Inventory-2 (Martens et al., 1990) has prevailed in the literature as the scale of choice when measuring competitive state anxiety, although slight modifications have been applied to Martens original (1990) scale. 5 2.6 The notion of directional perceptions The intensity scale, as provided within the CSAI-2, requires athletes to rate on a four point likert scale how they feel ‘right now’, in relation to their upcoming performance (Martens et al., 1990). The intensity scale has been criticised by Jones (1991), who reported that essentially the intensity alone scale only measures the level of anxiety symptoms. Jones (1991) recognised that high intensity scores may not necessarily have negative inferences, thus he suggested that anxiety-related symptoms could potentially be perceived by some athletes as necessary for mental preparation and overall performance. Indeed Jones (1991) suggested that researchers should examine the athlete’s direction of anxiety in order to examine how individuals interpret the intensity of their pre-competition anxiety symptoms to be either facilitative or debilitative towards their performance. The concept of directional perceptions has been supported by the extant literature, with researchers (Martens et al., 1990; Hanton, Jones & Mullen 2000; Thomas et al., 2004), reporting high concurrent validity for the directional perceptions scale for intensity. Furthermore, researchers suggested that the measurement of directional perceptions of intensity may be more sensitive than measuring intensity alone, when distinguishing between group differences (Jones & Hanton, 2001; Mellalieu, Hanton & Jones, 2003). The notion of directional perceptions was initially suggested by Mahoney and Avener (1977), when they interviewed performers who were successful and unsuccessful in being selected to represent the U.S. Olympic gymnastics team. The findings from Mahoney and Avener’s research indicated that the more successful athletes tended to use their anxiety as a stimulant to better performance. Despite these findings, it was not until 1992 that Jones and Swain began to investigate directional perceptions in a systematic fashion. Jones and Swain (1992) enhanced the CSAI-2 by applying a directional perceptions scale, alongside the intensity scale. Athletes were required to rate their anxiety intensity over the three subscales; cognitive anxiety, somatic anxiety and self confidence, and rate whether they interpreted their anxiety intensity symptoms as facilitative or deliberative towards their upcoming performance. Researchers have supported the directional perceptions scale, reporting that the concurrent validity within each 6 of the anxiety constructs were all within suitable guidelines, whilst Cronbachs alpha scores for the subscales were high, yielding between 0.80 to 0.89 for cognitive anxiety and 0.72 to 0.84 for somatic anxiety (Cox et al., 1998; Hanton et al., 2000). 2.7 Performance studies Jones and Swain (1992) were one of the first studies to examine the differences in intensity and directional perceptions of intensity in rugby union, basketball, soccer, and field hockey players. Their study established no significant group differences within the athlete’s anxiety intensity; however, they observed the highly competitive athletes to report their symptoms of pre-competition anxiety as more facilitative towards their upcoming performance, in comparison to the low competitive group. Results of their study suggested that the athlete’s directional interpretations were a function of their competitiveness. Research by Jones et al. (1993) examined the impact of intensity and directional perceptions of intensity upon performance, within a sample of forty eight gymnasts. Their findings indicated that the gymnasts intensity scores did not predict their overall performance. However, their results reported that the ‘good’ performance and ‘poor’ performance groups differed on their directional perceptions of intensity. The findings of Jones et al. (1993) support Jones and Swain’s (1992) proposal, suggesting that the directional perceptions scale provided a broader understanding of competitive state anxiety responses. Subsequent research within the competitive anxiety domain was conducted by Jones et al. (1994), who examined the intensity and directional interpretations between performance groups; elite and non-elite athletes. Their results suggested that the elite athletes did not differ from the non-elite athletes in their precompetition intensity anxiety symptoms, although elite athletes had a more positive interpretation of the symptoms they experienced. From the findings Jones et al. (1994) reported that the athlete’s directional perceptions of intensity were a function skill level. A further review by Mellalieu et al. (2006) supported these suggestions, reporting that the athletes interpretations of their symptoms were 7 found to be more sensitive to the individual difference variables under examination rather than the level at which performers experienced these symptoms. Conclusively, these studies reported no significant differences in the intensity of symptoms between the groups, although these studies indicated that the elite performers, good performers, and highly competitive individuals reported significantly more facilitative interpretations of symptoms associated with competitive anxiety than their comparison groups (Jones & Swain, 1992; Jones et al., 1993; 1994; Jones & Hanton, 1996). Thus, the application of the directional perceptions scale within the competitive sport domain has provided a good starting point for sport psychology research, in distinguishing the different ways in which anxiety is viewed by elite and non elite athletes. 2.8 Frequency and Intensity In order to gain a broader understanding about competitive state anxiety, researchers began to seek alternative methods of measuring competitive anxiety, whilst still adopting the CSAI-2. Empirical research by Swain and Jones (1993) saw the development of a frequency approach to assessing athlete’s anxiety. Initially, Swain and Jones (1993, p 526) defined frequency as ‘the amount of time athletes spend attending to symptoms experienced concerning competition’, whilst reporting the relevance of frequency, particularly through time-to-event research (Hanton et al., 2004). Swain and Jones (1993) were the first to measure an athlete’s frequency and anxiety intensity, which they assessed through incorporating a percentage scoring system (alongside the traditional intensity scale), which required athletes to state the percentage which identified how often they thought about the competition. Their findings indicated that frequency levels ranged between the regions of 80-90% one hour pre-competition, whereas scores as low as 5% were experienced by the athletes one week prior to the event. Swain and Jones (1993) then modified their approach by asking athletes to rate their anxiety frequency following a seven point formal scale (1= never to 7= all the time), which was added alongside the traditional intensity four point scale. Their research suggested that the measurement of competitive state anxiety may benefit from applying a more detailed approach such as the frequency scale, as 8 opposed to the limited intensity perspective. Further, their findings proposed that the insertion of the frequency scale would enable sport psychologists to gain a deeper understanding of the athlete’s anxieties. Research by Keuler and Safer’s (1998) supported Swain and Jones (1993) notion, reporting that research using the intensity scale failed to quantify the athlete’s ability to recall their intensity scores across the emotions of anxiety, happiness, acceptance, sadness, anger and fear. This was observed when they investigated the accuracy of student’s anxiety symptoms before an academic exam. Their findings identified that once the students were aware of their exam results, and therefore no longer anxious about them, they tended to overestimate their pre-test anxiety intensities. Further support for Keuler and Safer’s (1998) findings was provided by Thomas, Picknell and Hanton (2011), who observed athletes to be less accurate in their ability to recall their intensity of emotions, with differences between actual and recalled scores ranging between 26%- 92%. Researchers have supported the inclusion of the frequency scale, proposing the need for researchers to determine whether frequency assessment predicts more performance variance than intensity or direction (Thomas et al., 2004; Thomas et al., 2011). 2.9 Temporal patterning Although research has examined the intensity and frequency of responses in the time leading up to competition (Hall, Kerr, & Matthews, 1998; Hanton et al., 2004; Thomas et al., 2004), minimum focus has been provided towards assessing how the different dimensions of anxiety unfold in the time preceding competition. Swain and Jones (1993) were the first to research competitive frequency anxiety temporally, in which they explored the temporal changes in cognitive anxiety, somatic anxiety, and self confidence over a series of time phases leading up to competition. Swain and Jones (1993) achieved this by asking participants to complete their actual symptom responses (displayed within the CSAI-2) at 7 days, 48 hours, 24 hours and 1 hour pre-competition. In addition, Wiggins (1998) assessed the temporal patterns of anxiety within college athletes competing in soccer, swimming, and track and field, following a temporal period of 24 hours, 2 hours and 1 hour before the competition. The results of Swain and Jones (1993) 9 and Wiggins (1998) studies possessed similar findings to previous studies (e.g., Marten et al., 1990), reporting that levels of cognitive anxiety remained relatively stable before the competition, whereas somatic anxiety levels increased significantly from 24 hours to 1 hour. Research conducted by Thomas et al. (2004) followed the same temporal pattern to Swain and Jones (1993), measuring intensity, directional perceptions of intensity and frequency, 7 days, 48hr, 24hr, and 1hr pre-competition. Their results supported Swain and Jones (1993) findings, suggesting that the frequency dimension appeared to be more sensitive to temporal changes. In addition, Hanton et al. (2004) measured anxiety frequency, intensity and directional perceptions of intensity over five time periods; 7 days, 48 hours, 24 hours, 2 hours, and 30 min prior to competition and reported similar findings to Thomas et al. (2004), emphasising the necessity for research to assess these constructs as processes that unfold over-time. 2.10 Hypothesises To the authors’ knowledge, previous research has failed to examine skill level differences of frequency of intrusions and directional perceptions of frequency in performers, thus the present study will examine the frequency and perceptions of pre-competition frequency symptoms (directional dimension) in elite and non elite athletes, over a temporal element. Further, as research has failed to measure directional perceptions of pre-competition frequency symptoms, the present study’s predictions were formulated around competitive anxiety research that has examined frequency and directional perceptions of intensity independently. 10 2.10.1 Frequency predictions It was hypothesised that elite level athletes would experience less frequency of intrusions for cognitive anxiety (Raffety, Smith & Ptacek, 1997; Hanton et al., 2004) and somatic anxiety (Hanton et al., 2004), though, they would possess greater frequency for self-confidence in comparison to their non-elite athletes counterparts. Further, for the temporal element, hypotheses were based on the initial work of Swain and Jones (1993), Hanton et al. (2004) and Thomas et al. (2004), who proposed that cognitive and somatic frequency would increase as the competition approached, but that self-confidence frequency would remain stable. 2.10.2 Directional perceptions predictions It was hypothesised that elite level athletes would interpret their cognitive and somatic anxiety as more facilitative towards their upcoming performance, whilst non elite athletes would construe their anxiety symptoms as detrimental towards their upcoming performance. In line with other research predictions that have examined directional perceptions of intensity (e.g., Wiggins, 1998; Thomas et al., 2004), the current study predicted that directional perceptions of frequency will output similar findings to the intensity research and will not fluctuate in the time leading up to competition (Gal-Or, Tenenbaum & Shimrony, 1986; Jones et al., 1994; Campbell & Jones, 1997). 11 CHAPTER III METHOD This chapter has been separated in to four subsections; the first subsection identifies the participants used in the present study. The second indicates the instrument used to measure the participant’s competitive state anxiety, whilst the third and forth sections provide a clear overview of the process used to gather the information required for the present study, and how this information was analysed. 3.1 Participants The sample comprised of 93 athletes, aged between 13-16 years (M = 14.90, SD= 1.00). Consent was gained from the participant’s legal guardian, in addition to written consent from the participants (Appendix B). An inclusive approach was administered to gather the sample, with only Rounder’s England’s U14 (n=51) and U16 (n=42) trialists taking part in the current study. Within the sample, two sets of data were obtained. The first set of data, coded ‘Data set 1’, consisted of 55 participants, who completed the modified questionnaire over three time periods; 7 days, 24 hours and 1 hour pre-competition. The second set of data, coded ‘Data set 2’ contained all 93 participants, who completed the questionnaire following only two time periods; 24 hours and 1 hour pre-competition. 3.2 Instrumentation For the present study, a further modified version of the Competitive State Anxiety Inventory-2 (Martens et al., 1990) was administered. The original CSAI-2 (Martens et al., 1990) was modified to include Swain and Jones’s (1993) frequency scale and Jones and Swain (1992) scale for directional perceptions (Appendix A). Participants were required to rate their state anxiety across the constructs of cognitive anxiety, somatic anxiety and self-confidence. Participants achieved this by working through a 27 item questionnaire, which represented nine items of each construct. The frequency scale required the participants to read each statement and highlight the number to the right of the statement which indicated the amount of time the athlete spent attending to the symptoms experienced, concerning competition. This phase measured symptom frequency levels and was rated on a likert scale ranging from 1 (‘never) to 7 (‘all of the time). Hence, frequency scores 12 ranged from 9 to 63 for each anxiety and confidence construct. The second section of the modified CSAI-2 rated the degree to which symptom frequencies were regarded as debilitative (negative) or facilitative (positive) towards the athlete’s upcoming performance. Scores ranged from -3 (very negative) to +3 (very positive) with 0 indicating an ‘unimportant’ interpretation, thus symptom perceptions ranged from –27 to +27 for each construct of anxiety and confidence. The frequency of intrusions scale has been administered in previous research studies (i.e., Swain & Jones, 1993; Hanton et al., 2004; Thomas et al., 2004) and has been reported to possess good face validity ranging between 0.87-0.92. However, the directional perceptions scores for the frequency dimension have not been reported in sport psychology literature. As a result of this, I will calculate the internal consistency scores in the present study. However, the internal consistency scores for directional perceptions of the intensity dimension have been reported and possessed high face validity, with scores ranging between 0.67 to 0.75 (Cox et al., 1998). 3.3 Procedure Participants were required to register for the Rounder’s England U14 or U16 trials on the Rounder’s England official website. The modified CSAI-2 (Martens et al., 1990; Jones & Swain, 1992; Swain & Jones, 1993) was attached to the trialists form, accompanied with an information sheet, consent form, letter of approval from Rounder’s England head office and an overview of instructions. Informed consent was required from both the athlete and their parent/guardian/carer, in order for the participant to take part in the current study. Once the athletes and their parent/career/guardian had read the information sheet, and signed the consent form, they were required to return the completed Rounders England trial form and signed consent form to the Rounder’s England head office. In line with other competitive anxiety studies ( i.e., Jones et al., 1993; Hanton et al., 2004; Thomas et al., 2004), a temporal element was used in the current study which required athletes to complete the 27 questions over three time periods; 7 days, 24 hours and 1 hour pre-competition. This timescale did not interfere with the participant’s competition preparation time, as it was submitted to the trialists further away from competition, in comparison to other published temporal anxiety based research 13 (i.e. Hanton et al., 2004; Thomas et al., 2004). The modified CSAI-2 was initially distributed to the trialists through email 7 days prior to their trial date, and emailed again 24 hours prior to the athlete’s trial. It was clarified in both of the emails that participants were required to complete the questionnaire within 24 hours of receipt. On the morning of the trials (1 hour pre-competition) participants were handed a final copy of the questionnaire to fill in. Upon completion, the participant’s three completed questionnaires were collected by the researcher, which ended the athletes’ participation in the study. Subsequent to the trial the researcher had confirmation of the trialists who had been selected to represent Rounder’s England for their age group (U14 or U16) and those that had not been successful. Hence, the athletes selected to represent England were categorized as elite, whilst those who did not make the selection were considered non-elite. 3.4 Data Analysis Data analysis was separated in to three sections. First, internal reliability and correlation analysis between the dimensions at each pre competition stage were calculated. Internal reliability was conducted to measure how closely related the anxiety and self confidence variables were across the time periods, whilst correlation analysis was calculated to measure the shared variance between the anxiety and self confidence variables and the dimensions. Secondly, data was pre-screened to test for missing cases and normality of results. Finally, to answer the main aspect of the research question, four Group X Time-to-competition repeated measure MANOVA’s were conducted. If the MANOVA’s proved to be significant, a separate mixed design ANOVA was carried out on each of the dependable variables (Cognitive Anxiety Frequency [CAF], Cognitive Anxiety Direction [CAD], Somatic Anxiety Frequency [SAF], Somatic Anxiety Direction [SAD], Self Confidence Frequency [ScF], and Self Confidence Direction [ScD]), to ensure that the significant MANOVA’s were not a result of the dependent variables representing a set of underlying dimensions, which tell between the groups (Field, 2000). 14 CHAPTER IIII RESULTS This chapter has been separated in to three key subsections. The first subsection examined the internal reliability and correlation analysis of the dimensions. The second examined the data for missing cases and tested for normality following Kolmogorov-Smirnov tests. The final section of the results examined the interactions and main effects of the frequency and perceptions of pre-competitive anxiety symptoms over the time periods. To reiterate, the data collated has been separated in to two data sets. Data set 1 consisted of the athletes who completed the questionnaire on all three time periods, whilst Data set 2 contained the participants who completed the questionnaire following only two time periods. This chapter has been separated in to the two data sets to provide an in-depth analysis of results. However, internal reliability scores have been collapsed across the data sets. 4.1 Internal Reliability and Correlation Analysis Internal reliability analysis was conducted to measure the consistency of the frequency and directional dimensions over the time periods. Table 1 displays the reliability scores for frequency of intrusions and the directional perceptions dimension, collapsed across the data sets. Scores for the frequency dimension ranged between 0.78 to 0.89 and scores ranged between 0.84 to 0.92 for the perceptions of pre-competition (direction) dimension. Internal consistency scores are considered ‘acceptable’ if the values range between 0.7-0.8, scores ranging between 0.8-0.9 are categorized ‘good’, whilst scores exceeding 0.9 are considered ‘excellent’. Subsequently, the findings from this study confirmed that both the frequency and directional perceptions dimension possessed acceptable to excellent internal consistency. Correlation analysis was conducted to measure the relationship between the CSAI-2 variables, and the temporal periods. Tables 2 and 3 display the correlation analyses between the dimensions, which identified a maximum shared variance of 58%. 15 Table 1. CSAI-2 Internal Reliability Coefficients (Cronbach Alpha) Symptom 7 Days 24 hr 1 hr Cognitive Somatic Self-confidence .78 .78 .86 .78 .78 .84 .83 .81 .89 Direction Cognitive Somatic Self-confidence .84 .92 .90 .86 .91 .91 .88 .86 .89 Frequency Note. CSAI-2= Competitive State Anxiety Inventory-2 Table 2. Interrelationships between the CSAI-2 dimensions (Data set 1) Correlations (% common variance) Construct/ Time CA SA SC 7 days -.337 (11.4%) -.347 (12%) .706 (49.8%) 24 hours -.303 (9.2%) -.408 (16.6%) .764 (58.4%) 1 hour -.224 (5%) -.302 (9.1%) .615 (37.9%) 16 Table 3. Interrelationships between the CSAI-2 dimensions (Data set 2) Correlations (% common variance) Construct/ Time CA SA SC 24 hours -.262 (6.9%) -.317 (10%) .691 (47.7%) 1 hour -.146 (2.1%) -.176 (3.1%) .510 (26%) 4.2 Data pre-screen Data within each sample was checked for missing data (Field, 2000), of which no missing cases were identified. In addition, tests of normality were assessed following Kolmogorov-Smirnov test and the output of normal Q-Q Plot’s. The results indicated some abnormal normalities at various times leading up to competition when combined with cognitive anxiety, somatic anxiety and self confidence. The data provided for frequency over the three time periods (7 days, 1 day, and 1 hour) showed a lack of normality over the constructs of somatic frequency at 7 days [p <.05] and 24 hours [p <.01] and self confidence frequency at 7 days [p<.05] (Table 4). Furthermore, data gained for the directional dimension over the three time periods highlighted abnormal data for cognitive direction anxiety at 7 days [p<.01]. Abnormal data was also found over the constructs of somatic direction at 7 days [p<.01], somatic direction at 24 hours [p<.01] and self confidence direction at 7 days [p<.05] (Table 4). The data obtained from the frequency dimension over the two time period sample (1 day and 1hour) displayed inconsistencies with normality. Abnormal normality scores were found for somatic frequency at 24 hours [p<.01] and 1 hour [p<.05] pre competition (Table 5). This inconsistency was replicated for somatic direction as the scores reported inconsistent normality results at 24 hours [p<.01] and 1 hour [p<.05] precompetition (Table 5). The remaining data was consistent with normality values, in line with the Kolmogorov-Smirnov Test and output from normal Q-Q Plot’s. Due to the lack of normality identified within some aspects of the data (See tables 4 & 5), issues 17 regarding the robustness of the test violations were presented. Thus, as the assumptions of homogeneity of variance-covariance matrices were violated (See tables 4 & 5), Pillai’s criterion was used to permit the application of parametric tests (Tabachnick & Fidell, 1996). Table 4. Tests of normality violations across the three time periods Tests of normality violations Kolmogorov-Smirnova Statistic df 3 time periods Sig. Somatic Frequency 7 days .128 55 .025 Somatic Frequency 24 hours .144 55 .006 Self confidence Frequency 7 days .129 55 .022 Cognitive Direction 7 days .139 55 .010 Somatic Direction 7 days .149 55 .004 Somatic Direction 24 hours .145 55 .006 Self Confidence Direction 7 days .134 55 .015 Table 5. Tests of normality violations across the two time periods Tests of normality violations 2 time periods Kolmogorov-Smirnova Statistic df Sig. Somatic Frequency 24 hours .129 93 .001 Somatic Frequency 1 hour .105 93 .013 Somatic Direction 24 hours .151 93 .000 Somatic Direction 1 hour .105 93 .013 18 4.3 Multivariate analysis of variance Four Group X Time-to-Competition repeated measure MANOVA’s were computed. One MANOVA was carried out on each anxiety dimension (frequency and direction) within each of the two samples. Skill level was utilised as the independent variable whilst cognitive anxiety, somatic anxiety and self confidence acted as the dependent variables over all the time periods in the analysis. One interaction effect was noted (p<.05) for cognitive frequency over the two time period analysis (data set 2). This was followed with a Post Hoc ANOVA which found a significant difference for cognitive anxiety frequency over 1 hour between the performance groups. Following these findings, an Independent Sample t-test was administered which reported no significant differences between the elite and non-elite athletes. Further analysis saw the application of a Paired Sample t-test, which confirmed that there was an increase in cognitive anxiety frequency at 1 hour for elite athletes, although no significant differences for non-elite athletes were found whilst abiding by the principles identified by Bonferroni’s correction factor. Several significant main effects for time-to-competition were found, of which follow up repeated measure ANOVA’s were conducted. The ANOVA’s were then followed by Paired sample t-tests with Bonferroni’s correction factor being applied when appropriate (Tabachnick & Fidell, 1996; Field, 2000). Table 6. Anxiety and confidence means and standard deviations over the three time periods, collapsed across all skill levels (Data set 1) Component CA-F SA-F SC-F CA-D SA-D SC-D Seven days M (SD) 27.73 21.44 43.02 2.84 5.31 10.58 (8.41) (6.89) (8.89) (8.92) (9.89) (8.53) One day M (SD) 31.20 24.60 38.78 0.60 4.96 8.16 19 (8.83) (8.11) (8.59) (8.74) (9.59) (9.02) 1 h M (SD) 35.13 29.64 37.84 0.91 2.58 7.55 (9.52) (8.51) (9.04) (9.35) (8.74) (8.41) Table 7. Anxiety and confidence means and standard deviations over the two time periods, collapsed across all skill levels (Data set 2) Component CA-F SA-F SC-F CA-D SA-D SC-D One day M (SD) 31.61 25.11 38.08 0.46 3.66 7.20 (8.40) (7.98) (8.69) (8.06) (8.81) (8.46) 1 h M (SD) 34.56 29.48 37.15 0.53 2.04 6.11 (8.94) (8.21) (8.98) (8.00) (7.48) (7.89) 4.4 Frequency of intrusions (three time periods) No main effects were found for frequency for group by time (Pillais trace_0.0979, F6, 210_1.80, p>.05), or skill level categorization (Pillais trace_ 0.9627, F3,51_1.81, p>.05). However, main effects were reported for time-to-competition (Pillais trace_0.537, F6,210_12.85, p<.001), with follow up repeated measure ANOVA’s identifying significant changes of cognitive anxiety (F2,52_ 0.468, p<.001) , somatic anxiety (F2,52_0.52, p<.001) and self confidence (F2,52_0.312, p<.001). Follow up Paired Sample t-tests confirmed that athletes experienced more cognitive anxiety 1 hour pre competition, than they experienced 7 days pre competition (t (54) = 6.966, p<.001). Additionally, it was found that athletes cognitive anxiety frequency at 24 hours pre-competition was significantly higher than athletes cognitive anxiety frequency at 7 days (t (54) = -4.239, p<.001). Furthermore, athletes experienced higher levels of cognitive anxiety frequency 1 hour pre-competition than they experienced 24 hours pre performance (t (54) = -4.455, p<.001). Findings for somatic frequency anxiety indicated that statistically the athletes levels of somatic frequency enhanced as the competition drew closer (Table 6). Athletes experienced higher levels of somatic anxiety frequency, 1 hour pre competition, when compared to their somatic anxiety frequency 7 days pre-competition (t (54) = -7.570, p<.001). In addition, higher levels of somatic frequency were experienced at 24 hours pre competition, when compared to athletes somatic anxiety frequency 20 at 7 days (t (54) = -3.651, p<.001). Athletes somatic frequency anxiety continued to increase, as athletes experienced higher levels of somatic anxiety 1 hour pre competition, than they experienced 24 hours prior to competition (t(54)= -5.828, p<.001). Finally, the results gathered for self confidence frequency indicated that the athlete’s degree of self confidence decreased as the event drew closer, this was apparent between 7 days and 1 hour pre-competition (t (54) = 4.329, p<.001). Further statistics supported the reduction of self confidence between 7 days and 24 hours (t (54) = 4.869, p<.001). However, no significant differences were reported for self confidence frequency between 24 hours and 1 hour precompetition. Frrequency of Intrusions 45 40 35 Cognitive anxiety 30 Somatic Anxiety Self confidence 25 20 7 days 1 day Temporal period 1 hour Fig 1. Change over time patterns for frequency of responses (data set 1). 4.5 Directional perceptions of anxiety frequency (three time periods) No main effects were found for anxiety direction for group by time (Pillais trace_0.793, F6, 210_1.444, p>.05) or skill classification (Pillais trace_0.012, F3,51_0.209, p>.05). However, main effects were noted for time-to-competition anxiety direction (Pillais trace_0.139, F6, 210_2.621, p<.05). Follow up repeated measure ANOVA’s indicated significant changes of somatic anxiety (Pillais trace_0.100, F2, 52_ 2.901, p>.05) and self confidence (Pillais trace_ 0.104, F2, 21 52_3.005, p>.05) over time. Results generated from the Paired sample t-tests suggested that statistically, athletes perceived their somatic anxiety to be less facilitative towards their upcoming performance as the competition drew closer (t(54)= 2.325, p<.05). This can be supported by the mean scores generated from 7 days to 1 hour pre competition (Table 6). However, no significant differences were observed between 7 days to 24 hours and 24 hours to 1 hour pre competition. The results reported for self confidence direction indicated that athletes perceived their self confidence to be less facilitative towards their upcoming performance when they completed the CSAI-2 1 hour pre-competition, in comparison to their 7 days pre-competition scores (t(54)= 2.630 p<.05). Furthermore, it can be statistically confirmed that athletes perceived their self confidence to be less facilitative towards their upcoming performance 24 hours pre competition when compared to 7 days (t (54) =2.112, p<.05). The results generated from the t-tests confirmed that there were no significant differences for self confidence direction between 24 hours to 1 hour, pre competition. Directional perceptions of anxiety Frequency 12 10 8 Cognitive anxiety 6 Somatic anxiety Self confidence 4 2 0 7 days 1 day 1 hour Temporal Period Fig 2. Change over time patterns for directional perceptions of frequency (data set 1) 22 4.6 Frequency of intrusions (two time periods) A significant interaction was found in group by time (Pillais trace_0.0848, F3,89_2.747, p<.05), with repeated measure ANOVA’s reporting skill level differences for cognitive anxiety frequency (Pillais trace_0.085, F1,91_8.401, p<.005). A Post hoc ANOVA was then carried out, which established a significant difference at time 2 (1 hour pre-competition) for cognitive anxiety frequency (Pillais trace_.255, F1,91 _26.47, p<.001). Further results generated from the Independent Sample t-test stated that there were no significant difference between skill level and time, whilst abiding by Bonferroni’s guidelines (t (91) = 1.918, p>.05). Finally, a paired sample t-test was conducted for cognitive frequency anxiety at 1 hour, specifically focusing on individual performance groups. The results reported that there was an increase in cognitive anxiety frequency for elite athletes between 24 hours and 1 hour pre-competition (t (43) = -4.622, p<.001), but no difference for non-elite athletes. In addition, a main effect for time-to-competition was found (Pillais trace_0.3795, F3,89_18.146, p<.001), with follow up repeated measure ANOVA’s reporting significant differences for cognitive frequency anxiety (Pillais trace_0.225, F1,91_ 26.468, p<.001) and somatic frequency anxiety (Pillais trace_ 0.351, F1,91_ 49.218, p<.001). Follow up Paired Sample t-tests established that statistically athletes experienced more cognitive frequency at 1 hour pre competition than they did 24 hours pre competition (t(92)= -4.807, p<.001). Finally, the results gathered for somatic anxiety frequency reported that athletes experienced higher levels of somatic frequency 1 hour pre-competition than they experienced at 24 hours (t(92)= -.922, p<.001). No main effects were found for self confidence. 23 40 Frequency of Intrusions 38 36 34 32 30 Cognitive anxiety 28 Somatic anxiety 26 Self confidence 24 22 20 1 day 1 hour Temporal period Fig 3. Change over time patterns for frequency of responses (data set 2) 4.7 Directional perceptions of anxiety frequency (two time periods) No main effects were noted for group by time (Pillais trace_0.0192, F3,89_0.5805, p>.05) skill level (Pillais trace_0.01131, F3,89_0.339, p>.05) or time-to-competition (Pillais trace_0.0729, F3,89_2.336, p>.05). Directional perceptions of anxiety frequency 8 7 6 5 4 Cognitive anxiety 3 Somatic anxiety 2 Self confidence 1 0 1 day Temporal Period 1 hour Fig 4. Change over time patterns for directional perceptions of anxiety frequency (data set 2) 24 CHAPTER V DISCUSSION The present study examined the frequency and directional perceptions of precompetition symptoms in elite and non elite athletes within a temporal framework. The current study abided by the principles of previous frequency and directional based studies (i.e., Jones et al., 1993; 1994), by incorporating a temporal element whilst following similar time periods to those utilised in previous studies (Hanton et al., 2004; Thomas et al., 2004). Further insight into the differences between elite and non-elite performers was provided by the explanatory skill level effects utilised in the current study. This section aims to provide an in-depth analysis of the results obtained from the present study whilst integrating the current findings with the hypotheses identified in the literature review. Further, this chapter will critically discuss the practical implications and strengths and weaknesses derived from the study. Finally, this chapter will close by suggesting future developments for research. 5.1 Skill level The in-between subject factor that was explored in the current research was skill level. The most interesting finding was for group by time, which was observed for the cognitive frequency dimension, opposing the researcher’s hypothesis. The performance groups reported no noteworthy differences of cognitive frequency in the time preceding competition. However in comparison to the single time analysis (Jones review, 1995), the present study observed a significant difference within the performance groups at one hour pre-competition. Elite athletes displayed greater amounts of cognitive frequency in the hour preceding competition, in comparison to their non-elite counterparts. It should be noted that this interaction was only significant for those athletes who completed the modified CSAI-2 at only two time periods (data set 2). The current findings for cognitive frequency could lend support to the anxiety intensity research which, collectively categorized group differences based upon the athlete’s skill level (Gal-Or et al., 1986; Jones et al., 1993; 1994; Campbell & Jones, 1997; Hanton et al., 2004). These researchers reported that the higher skilled performers, elite performers and highly competitive individuals thought more about the competition, in comparison to the lower levelled performers, non-elite performers and less competitive performers, in the build up to competition. Possible explanations for the reasons why the elite 25 performers thought more about the competition one hour pre-performance could be explained by Kerr (1997) and Lane et al. (1999) research findings. These studies observed similar findings to the current study and questioned whether the athletes involved in their studies misinterpreted high anxiety symptoms for other emotions, such as excitement, motivation and arousal, which resulted in the athletes reporting higher cognitive frequency scores than they were experiencing. Kerr (1997) and Lane et al. (1999) concern was supported by subsequent research studies such as Jones and Hanton (2001) and Jones and Uphill (2004) who also suspected that the athletes involved in their studies misconstrued other emotions for cognitive anxiety. Group findings for somatic and self confidence frequency suggest no main effects between the performance groups. Additionally, no hypothesis was suggested for group differences of self confidence due to the lack of sport psychology research within this construct (Raffety et al., 1997). The current study’s findings for somatic anxiety frequency and self confidence frequency are similar to the results obtained by Hanton et al. (2004), who also reported no skill level differences between the performance groups in their study. Similar observations were established in the intensity research, such as the observations by Hanton and Connaughton (2002) and Hanton, Evans, and Neil (2003) who identified no differences in the elite performer’s somatic anxiety and self confidence intensities, in comparison to their non-elite counterparts. Unfortunately, comparisons to Jones and Swain (1993) and Jones et al. (1994) state level research cannot be made, due to the way in which Jones and colleagues categorized their performance groups. However, research by Chamberlain and Hale (2007) supported the findings of Jones and colleagues’, which opposed the present study’s findings. Conclusively, Chamberlain and Hale (2007) indicated that self confidence in itself is an important predictor of performance. The directional perceptions scale has prevailed in the sport psychology literature as the scale of choice when comparing competitive state anxiety in elite versus non elite athletes (e.g., Jones et al., 1994; Jones & Swain, 1995; Swain & Jones, 1996; Jones & Hanton, 2001; Mellalieu, et al., 2003). However, in contrast to the proposed hypothesis, this study established no skill level differences for directional perceptions of cognitive, somatic, or self confidence frequencies. This study was 26 the first to measure perceptions of pre-competitive symptoms of frequency; hence, the present study could only compare its findings to the perceptions of precompetitive intensity research. The lack of findings for skill level differences for directional perceptions is not supported by researchers (Jones et al., 1994; Jones & Swain, 1995) who observed elite athletes to interpret their cognitive and somatic intensity symptoms as more facilitative towards their upcoming performance. On the contrary, the performance variance study results such as Swain and Jones (1996), Jerome and Williams (2000) and Chamberlain and Hale (2007) support the present study’s findings, collectively reporting a positive linear relationship with cognitive and somatic perception and performance. Further, Swain and Jones (1996) and Jones and Uphill (2004) indicated that the directional perceptions scale will predict more variance in basketball performance than the traditional intensity dimension. Thus, they suggested that the directional perceptions dimension was a more reliable scale for measuring and comparing the skill levels of athletes. However, the results from the current study do not support Jones and colleague’s concept, as the present study observed no skill level differences between the skill level groups. Further, the results for self confidence direction reported no significant differences between the performance groups. This finding is supported by a number of empirical studies (i.e., Jones et al., 1993; Jones & Hanton, 1996; Ntoumanis & Jones, 1998; Hanton et al., 2003; O’Brien, Hanton, & Mellalieu, 2005). Potential explanations for the lack of findings between the performance groups could be explained through Jones’s (1995) control model. Jones model proposed that performers who perceive themselves to be able to cope and control their anxieties, whilst possessing positive expectations regarding goal attainment, are predicted to interpret their symptoms as more facilitative towards performance. Conversely, Jones stated that those athletes who perceive themselves to not be in control of their emotions and fail to possess the required coping tools will interpret their symptoms as debilitative. Taken collectively, it appears that elite and non-elite level performers do not differ in their frequency anxiety. However, group differences for cognitive frequency were apparent one hour pre-competition. In contrast to the proposed hypothesis the current study observed elite level athletes to think or experience more often, 27 the symptoms associated with cognitive anxiety in the hour preceding competition. 5.2 Time-to-Competition The second aim of the present study was to examine the temporal changes of frequency and directional perceptions in the lead up to competition. A significant pattern was displayed for frequency of intrusions noted for both performance groups. The results supported the proposed hypothesis, displaying a main effect for cognitive frequency in the time leading up to competition. Specifically, the data obtained from data set 2 (2 time periods) displayed significant increases in the athlete’s cognitive frequencies between 24 hours and 1 hour pre-competition (Table 7). The data obtained from data set 1 (3 time periods) supported these findings, demonstrating similar patterns across the performance groups (Table 6). Support for the current findings is provided by Swain and Jones (1993) and Hanton et al. (2004), although not wholly consistent with Kais and Raudsepp (2005) findings. Taken at an applied level, it appears that the results show consistencies with other frequency based research (i.e., Hanton et al., 2004; Thomas et al., 2004), suggesting that frequency data is more sensitive to symptom changes over time, in comparison to intensity data (Kardum, 1999). Temporal patterns for somatic anxiety indicated that somatic anxiety frequency increased in the build up to competition. The present study observed a significant increase between 24 hours and 1 hour pre-competition for both data sets (Table 6 & 7). This finding agrees with the somatic frequency findings in Hanton et al. (2004) study, which observed an increase in the athlete’s somatic frequencies between seven days and two days, and 2 h to 30 min in the pre-competition stages. In addition, the current study’s findings concur with research that has explored the temporal patterning of somatic intensity (i.e., Jones & Swain, 1992; Jones et al., 1993; 1994; Jones & Swain, 1996; Hanton et al., 2002; 2004; Thomas et al., 2004), suggesting that somatic frequency scores are akin to intensity. Although the patterns for the current study do not observe the athletes somatic frequency at the onset of competition, it can be predicted that the athlete’s somatic frequency will pursue the same trends as somatic intensity and follow Martens et 28 al. (1990) Multidimensional Anxiety Theory predictions. This theory hypothesised that somatic anxiety will decline quickly, once competition begins (Wine, 1971; Gould et al., 1984). In line with the proposed hypothesis and the findings of Swain and Jones (1993), the patterns displayed within the current study reported an increase in the athlete’s somatic frequency between 7 days and 1 hour precompetition. Temporal patterns for self confidence were evident for the athletes who completed the questionnaire on three separate occasions (data set 1). However, it should be noted that no main effects for time-to-competition were found for the athletes who completed the questionnaire on only two occasions (data set 2). Specifically, the general trend observed for data set 1 displayed a general decrease in the athlete’s self confidence frequencies, from 7 days to 1 day and 1 day to 1 hour preceding competition. This finding contradicts the proposed hypothesis and the findings of Hanton et al. (2004) who observed an increase in self-confidence frequency throughout the time leading up to competition. Possible explanations for the decrease in the athletes self confidence frequency could be related to the sporting successes and/or failures the athletes experienced in the week leading up to the competition (Hanton & Jones, 1999a). Research by Hanton and Jones (1999a) has suggested that the more negative sporting experiences athletes experience in the run up to the competition can be detrimental to their self confidence (Hanton & Jones, 1999a). In addition, the athlete’s sporting history within the sport utilised in the present study is unclear, thus it can be suggested that the athletes who took part in the current study may not have been experienced to highly competitive environments, such as the environment measured in the present study. Indeed, this would lead to a reduction in the athletes self confidence (Jones & Swain, 1992). Time-to-competition effects were noted for somatic direction for those athletes involved in data set 1 (3 time periods), although no time-to-competition somatic direction effects were present for the athletes involved in data set 2. Additionally, no time-to-competition effects were noted for cognitive direction. Taken collectively, the current findings for cognitive and somatic anxiety perceptions are not wholly consistent with the intensity findings, as proposed by Swain and Jones (1993). Swain and Jones (1993) noted an increase in cognitive and somatic directional perceptions in the elite athletes, particularly at times close to 29 competition. Further, qualitative research by Hanton et al. (2002) identified that the athletes interpretations of cognitive symptoms can change in the build up to competition. The findings of Hanton et al. (2002) were supported by Hanton et al. (2004) quantitative research, which also established a fluctuation in the athletes perceived directional perceptions in the time leading up to competition. At an applied level, it would appear that the current findings lend support to Hanton and colleagues (2002;2004) suggesting that once athletes have interpreted their anxiety symptoms as either facilitative or debilitative, these interpretations remain relatively stable throughout the build up to competition. Conclusively, the data gathered from the present study reinforces the initial findings of researchers i.e. Wiggins, (1998), Thomas et al. (2004) and Chamberlain and Hale (2007) who suggested that directional frequency will output similar findings to the directional intensity research. Additionally, it is interesting to note that a main effect for time-to-competition was observed for self confidence for the athletes involved in data set 1. Conversely, no time-to-competition effects were found for data set 2. The results for data set 1 portrayed a general decrease in the athlete’s directional perceptions as the competition approached. However it should be noted that both performance groups perceived their self confidence frequency symptoms to be facilitative towards their upcoming performance. Thus it can be questioned as to whether the high correlations between self confidence frequency and direction are a result of the scales measuring the same thing? This notion would lend support to the intensity and direction concerns as advocated by Jones and colleagues (Jones et al., 1993; 1994), who suggested that the separation of self confidence intensity and direction may not be necessary. The present study supports this notion, as the correlation analysis detected high shared variance scores (Table 2 & 3) between the two scales for self confidence. Hence, it can be argued that similar scores for self confidence have been observed throughout the present study as a result of the high correlations. 30 5.3 Practical implications A number of practical implications emerged from the present study. At an applied level, the information derived from this study could be used to further the competitive anxiety research and aid numerous sports practitioners, in particular sports coaches and psychologists who work with young athletes (<16 years). It is evident that coaches should educate performers from a young age about anxiety and how anxiety can be used to facilitate optimal performance. In addition, coaches should encourage athletes to gain more experience in the competitive sport environment in order for athletes to grasp a true understanding of what anxiety is and how anxiety affects them. Sport psychologists should administer appropriate anxiety coping tools and strategies to help athletes learn how best to control their anxiety, in order to positively affect the athletes sporting performance. This will positively affect the athlete’s long-term coping mechanisms, control and overall player development. Furthermore, the present study reported that there seems to be an underlying assumption that elite athletes possess higher levels of self confidence and view this as more facilitative towards their upcoming performance (Jones et al., 1994; Jones & Swain, 1995; Hanton & Jones, 1997; Perry & Williams, 1998). However reflection upon the current study’s self confidence mean scores (Table 6 & 7), suggest that the elite athletes utilised in this study lacked self confidence. The information derived from the current study identifies the key role that coaches and sport psychology practitioners play in nurturing the athlete’s ability to redirect their symptoms of anxiety to better their performance. In addition, sport psychologists and coaches should implement a series of intervention confidence management strategies early in the athletes career such as mental rehearsal, thought stopping, and positive self talk, to enhance the athletes self confidence (Hanton & Jones, 1999b). 31 5.4 Strengths and Limitations It is important to establish the present study’s strengths and limitations so that if this study was to be repeated by future researchers, they could apply the necessary modifications to improve the quality of the study. The initial strength of the present study was that it was the first research study within the competitive anxiety literature to measure directional perceptions of frequency. In addition, the temporal approach to the study allowed a thorough examination of how anxiety frequency and directional perceptions of frequency unfold over time. Another major strength of the current study was that it offered a further insight into how often the thoughts and feelings of anxiety are held by elite and non-elite athletes. Finally, the present study provided further comparisons between elite and nonelite performers concerning directional perceptions of anxiety symptoms and how these interpretations develop in the time preceding competition. Despite the wealth of information gathered from the current study, three key limitations should be considered. First, the key underlying limitation of the study was the sample used. Unfortunately, only fifty five (U14n= 27; U16n= 28) athletes completed the questionnaire on the three time periods (7 days, 24 hours, & 1 hour) outlined by the researcher, whilst 38 athletes completed the questionnaire over only two time periods (24 hours and 1 hour). Therefore all 93 athletes (U14n= 51; U16n= 42) competitive state anxiety scores were collated together across the two time periods (24 hours and 1 hour). Thus, data sets were categorized as data set 1 and data set 2, in order to answer the research question in as much detail as possible. However, limited results were gathered for the current study due to the lack of power behind the three point time analysis study (data set 1) whilst, results gathered from the two point time analysis (data set 2) did not measure competitive anxiety over a significant changeable time period. Second, the issue regarding the athlete’s understandings and interpretations of anxiety is not known. Research by Hanton and Jones (1999a) assessed athletes’ interpretations of pre-competition cognitive and somatic anxiety symptoms, with reference to age and experience. Their research observed young and less experienced athletes (<19 years of age) to interpret their pre-competition anxiety symptoms as negative towards performance. Hanton and Jones (1999a) 32 suggested that this was a result of the lack of knowledge and understanding in which the athletes were exposed to within their sporting careers. Taken in conjunction with Hanton and Jones (1999a) findings, it can be suggested that the athletes in the present study lacked what Hanton and Jones referred to as the ‘knowledge’ and ‘understanding’ to view the onset of anxiety symptoms as positive towards their upcoming performance. As highlighted throughout this study, further questions regarding whether or not the athletes in the current study misconstrued anxiety symptoms with other emotions such as excitement, arousal or motivation is not known. However, this notion would lend some support to researchers (i.e., Lane et al., 1999; Jones & Uphill, 2004), who suggested that an increase in the athletes cognitive anxiety may actually be a reflection upon the athlete’s excitement and not anxiety. Hence, issues regarding the size and age of the participants should be considered when interpreting the findings. Additionally, this study failed to take in to account other possible emotions, such as the emotions outlined in Jones and Hanton (2001), Mellalieu et al. (2003) and Jones, Lane, Bray, Uphill, and Catlin (2005) research studies. These emotions included dejection, frustration, fear, anger, excitement and happiness, all of which athletes experience alongside anxiety. 5.5 Future Directions The interesting between-subject findings for frequency of intrusions and perceptions of pre-competitive anxiety symptoms, suggest that these dimensions must receive more research attention. Additionally, there is still a need for research to determine whether frequency predicts more performance variance in comparison to the intensity and direction scales. Furthermore, in relation to the change-over-time patterns, there is still a need for future research to solely examine frequency of intrusions and directional perceptions over a longer temporal pattern, as utilised in Hanton et al. (2004) or Thomas et al. (2004) studies. Finally, future research should be centred around understanding more about the relationship between experience and age, and its impact on precompetition anxiety. 33 CHAPTER VI CONCLUSION 6.1 Main findings In summary, these findings suggest that elite performers do not differ from nonelite athletes in their frequencies of pre-competition anxiety symptoms. However, when examining the independent anxiety variables (CAF, CAD, SAF, SAD, ScF, ScD) with the independent temporal elements (7 days, 1 day, 1 hour), the results suggested that elite athletes experienced greater amounts of cognitive anxiety frequency (CAF) in the hour preceding competition. The results also suggest that elite athletes do not differ from non-elite athletes in their interpretation of frequency symptoms. Research by Jones and colleagues (1996; 2004) has indicated that the directional perceptions scale is a more valid scale for comparing skill level, although the current study’s findings do not lend support to this notion. However, the findings of this study have supported Thomas et al. (2004) notion which suggested that the directional perceptions scale for frequency will output similar findings to the directional intensity research. Finally, time-to-competition effects were found for both performance groups. The research findings observed athletes to display increases in cognitive and somatic anxiety frequencies and decreases in self confidence frequency as the competition drew closer. Further, the results suggest that as the frequencies for these constructs changed in the time preceding competition, these changes were viewed by the athletes as more deliberative towards their upcoming performance. Thus, this study provides a stronger rationale for sport practitioners to intervene and implement appropriate intervention strategies in the lead up to competition. 34 REFERENCES References Biddle, S. J. H. (1997). Current trends in sport and exercise psychology research. The Psychologist, 46, 63-69. Borkovec, T. D, (1976). Physiological and cognitive processes in the regulation of anxiety. In G.E. Schwartz and D. Shapiro (Eds.), Conscious and self-regulation: Advances in research. New York: Plenum, pp. 216-312. Burton, D. (1988). Do anxious swimmers swim slower? Re-examining the elusive anxiety performance relationship. Journal of Sport and Exercise Psychology, 10, 45-61. Burton, D., and Naylor, S. (1997). Is anxiety really facilitative? Reaction to the myth that cognitive anxiety always impairs performance. Journal of Applied Sport Psychology, 9, 295-302. Campbell, E., & Jones, G. (1997). Pre-competition anxiety and self-confidence in elite and non-elite wheelchair sport participants. Adapted Physical Activity Quarterly, 14, 95–107. Caruso, C.M., Dzewaltowski, D.A., Gill, D.L., and McElroy, M.A. (1990). Psychological and physiological changes in competitive state anxiety during noncompetition and competitive success and failure. Journal of Exercise Physiology, 12, 6-20. Chamberlain, S.T., & Hale, B.D. (2007). Competitive state anxiety and selfconfidence: Intensity and direction as relative predictors of performance on a golf putting task. Anxiety, Stress and Coping, 20, 197–207. 35 Cox, R H, Russell, W. D., and Robb, M. (1998). Development of a CSAI-2 short form for assessing competitive state anxiety during and immediately prior to competition. Journal of Sports Behaviour, 21, 30-40. Craft, L. L., Magyar, M., Becker, B.J., and Feltz, D.L. (2003). The relationship between competitive state anxiety inventory-2 and sport performance: A metaanalysis. Journal of Sport and Exercise Psychology, 25, 44-65. Davidson, R. J. (1978). Specificity and patterning in bio-behavioural systems. American Psychologist, 33, 430-436. Davidson, R. J. and Schwartz, G. E. (1976). The Psychobiology of Relaxation and Related States: A Multiprocess Theory. In D. I. Motofsky (Ed.). Behaviour Control and Modification of Psychological Activity, pp.399-442. Englewood Cliffs: Prentice Hall, Field, A. (2000). Discovering statistics: Using SPSS for windows. London: Sage. Gal-Or, Y., Tenenbaum, G., & Shimrony, S. (1986). Cognitive behavioural strategies and anxiety in elite orienteers. Journal of Sport Sciences, 4, 39-48. Gould, D., Petlichoff, L., and Weinberg, R.S. (1984). Antecedents of temporal changes in and relationship between CSAI-2 subcomponents. Journal of Sport Psychology, 6, 289-304. 36 Hall, H.K., Kerr, A. W., and Matthews, J. (1998). Precompetitive anxiety in sport: The contribution of achievement goals and perfectionism. Journal of Sport and Exercise Psychology, 20, 194-217. Hanton, S., and Connaughton, D. (2002). Perceived control of anxiety and its relationship with self-confidence and performance: A qualitative explanation. Research Quarterly for Exercise and Sport, 73, 87-97. Hanton, S., Evans, L., and Neil, R. (2003). Hardiness and the competitive trait anxiety response. Anxiety, Stress, and Coping, 16, 167-184. Hanton, S., and Jones, G. (1997). Antecedents of competitive state anxiety as a function of skill level. Psychological Reports, 81, 1139-1147. Hanton,S., and Jones, G. (1999a). The acquisition and development of cognitive skills and strategies. I: Making the butterflies fly in formation. The Sport Psychologist, 13, 1-21 Hanton, S., and Jones, G. (1999b). The effects of a multimodal intervention program on performers. II: Training the butterflies fly in formation. The Sport Psychologist, 13, 22-41. Hanton, S., Jones, G., and Mullen, R. (2000). Intensity and direction of competitive anxiety as interpreted by rugby players and rifle shooters. Perceptual and Motor Skills, 90, 513- 521. 37 Hanton, S., Mellalieu, S.D., and Hall, R. (2004). Self-confidence and anxiety interpretation: a qualitative investigation. Psychology of Sport and Exercise, 5, 379-521. Hanton, S., Mellalieu, S.D., Neil., R., and Fletcher, D. (2008). Competitive experience and performance status: An investigation into multidimensional anxiety and coping. European Journal of Sport Science, 8, 143-152. Hanton, S., Mellalieu, S.D., and Young, S.G. (2002). A qualitative investigation of the temporal patterning of the precompetitive anxiety response. Journal of Sports Sciences, 20, 911-928. Hardy, L., (1996). Testing the predictions of the Cusp catastrophe of anxiety and performance. The Psychologist, 10, 140-156. Jackson, J, (2003). How to be the best kicker in the world. The Guardian, [online]. Avaliable at: http://www.guardian.co.uk/sport/2003/oct/05/rugbyworldcup2003.rugbyunion13 [Accessed 31st January 2012]. Jerome, G.J., and Williams, J.M. (2000). Intensity and interpretation of competitive state anxiety: Relationship to performance and repressive coping. Journal of Applied Sport Psychology, 12, 236-250 Jones, G. (1991). Recent issues in competitive state anxiety research. The Psychologist, 4, 152-155. Jones, G. (1995). More than just a game: research developments and issues in competitive state anxiety in sport. British Journal of Psychology, 86, 449-478. 38 Jones, G., and Hanton, S. (2001). Pre-competition feeling states and directional anxiety interpretations. Journal of Sports Science, 19, 385-395. Jones, G., Hanton, S., and Swain, A.B.J. (1994). Intensity and interpretation of anxiety symptoms in elite and non-elite sports performers. Personality and Individual Differences, 17, 657-663. Jones, M.V, Lane, A.M., Bray, S., Uphill, M.A. & Caitlin, J. (2005). Development and validation of the Sport Emotions Questionnaire. Journal of Sport & Exercise Psychology, 27, 407-431. Jones, G., and Swain, A.B.J. (1992). Intensity and direction dimensions of competitive state anxiety and relationships with competitiveness. Perceptual and Motor Skills, 74, 467- 472. Jones, G., and Swain, A.B.J. (1995). Predispositions to experience facilitating and debilitating anxiety in elite and non-elite performers. The Sport Psychologist, 9, 201-211. Jones, G., Swain, A.B.J., and Hardy, L. (1993). Intensity and direction dimensions of competitive state anxiety and relationships with performance. Journal of Sports Sciences, 11, 533-542. Jones, M.V., and Uphill, M. (2004). Responses to the Compeititive State Anxiety Inventory-2(d) by athletes in anxious and excited scenarios, Psychology of Sport and Exercise, 5, 201-212. 39 Kais, K., and Raudsepp, L. (2005). Intensity and Direction of competitive state anxiety, self-confidence and athletic performance. Kinesiology, 37(1), 13-20. Kardum, I. (1999). Affect intensity and frequency: their relation to mean level and variability of positive and negative affect and Eysenck’s personality traits. Personality and Individual Differences, 26, 33–47. Kerr, J. H. (1997). Motivation and emotion in sport. East Sussex: Psychology Press. Keuler, D. J., & Safer,M. A. (1998). Memory bias in assessment and recall of preexam anxiety: how anxious was I? Applied Cognitive Psychology, 12, 127–137. Lane, A. M., Sewell, D. F., Terry, P. C., Bartram, D., & Nesti, M. S. (1999). Confirmatory factor analysis of the Competitive State Anxiety Inventory-2. Journal of Sports Sciences, 17, 505–512. Liebert, R. M. and Morris, L. W. (1967). Cognitive and Emotional Components of Test Anxiety: A Distinction and Some Initial data. Psychological Reports, 20, 975978. Mahoney, M. J., & Avener, M. (1977). Psychology of the elite: An exploratory study. Cognitive Therapy and Research, 1, 135-141. Martens, R., Burton, D., Vealey, R. Bump, L. and Smith, D. (1990). The Development of the Competitive State Anxiety Inventory-2 (CSAI-2). In R. Martens, R. S. Vealey and D. Burton (Eds.). Competitive Anxiety in Sport, pp.117190. Champaign, IL: Human Kinetics. 40 Mellalieu, S.D. Hanton, S., and Fletcher, D. (2006). A competitive anxiety review: Recent directions in sport psychology research. In: S. Hanton & Mellalieu (Eds.). 2006. Literature reviews in sport psychology, pp.1-45.Hauppauge: Nova Science. Mellalieu, S. D., Hanton, S., and Jones, G. (2003). Emotional labelling and competitive anxiety in preparation and competition. The Sport Psychologist, 17, 157-174. Morris, L., Harris, and Rovins, D. S. (1981). Interactive Effects of Generalised and Situational Expectancies on Cognitive and Emotional Components of Anxiety. Journal of Research in Personality, 15, 302-311. Neil, A. L., & Christensen, H. (2007). Australian school-based prevention and early intervention programs for anxiety and depression: A systematic review. Medical Journal of Australia, 186, (6), 305-308 Ntoumanis, N. and Jones, G. (1998). Interpretation of competitive trait anxiety symptoms as a function of locus of control beliefs. International Journal of Sport Psychology, 29, 99-114. O’Brien, M., Hanton, S. and Mellalieu, S. D. (2005). Intensity and direction of competitive state anxiety as a function of perceived control and athlete input into the generation of competitive goals. Australia Journal for Science and Medicine in Sport, 8, 418-427. Parfitt, C.G., Jones, G., and Hardy, L. (1990). Multidimensional anxiety and performance. In G. Jones and L. Hardy (Eds.), Stress and performance in sport, pp.43-80. Chichester: Wiley. 41 Perry, J. D., and Williams, J.M. (1998). Relationship of intensity and direction of competitive trait anxiety to skill level and gender in tennis. The Sport Psychologist, 12, 169-179. Raffety, B.D., Smith, R.E., and Ptacek, J.T. (1997). Facilitating and debilitating trait anxiety, situational anxiety, and coping with an anticipated stressor: A process analysis. Journal of Personality and Social Psychology, 72, 892-906. Spielberger, C. D. (1966). Theory and research on anxiety. In: C. S. Spielberger (Ed.), (1966) Anxiety and Behaviour, pp.3-20. New York: Academic Press. Spielberger, C. D. (1972). Anxiety: Current trends in theory and research: I. New York: Academic Press. Swain, A.B.J., and Jones, G. (1993). Intensity and frequency dimensions of competitive state anxiety. Journal of Sports Science, 11, 533-542. Swain, A.B.J., and Jones, G. (1996). Explaining performance variance: The relative contributions of intensity and direction dimensions of competitive state anxiety. Anxiety, Stress, and Coping, 9, 1-8. Tabachnick, B.G., and Fidell, L.S. (1996). Using multivariance statistics (3rd ed). New York: Harper Collins. 42 Thomas, O., Maynard, I., and Hanton, S., (2004). Temporal aspects of competitive anxiety and self confidence as a function of anxiety perceptions. The Sport Psychologist, 18, 172-188. Thomas, O., Picknell, G., & Hanton, S. (2011). Recall agreement between actual and retrospective reports of competitive anxiety: A comparison of intensity and frequency dimensions. Journal of Sports Sciences, 29, 495-508. Wiggins, M.S. (1998). Anxiety intensity and direction: Pre-performance temporal patterns and expectations in athletes. Journal of Applied Sport Psychology, 10, 201-211. Wine, J. D. (1971). Test anxiety and direction of attention. Psychological Bulletin, 76, 92-104. Woodman, T., and Hardy, L. (2001). Stress and anxiety. In R. Singer, H.A. Hausenblaus, and C.M. Janelle (Eds.), Handbook of research on sport psychology, pp. 290-318. New York: Wiley. Woodman, T., and Hardy, L. (2003). The relative impact of cognitive anxiety and. Journal of Sports Sciences, 21, (1), 443–457. 43 44 APPENDICES Appendix A INSTRUCTIONS: REACTIONS TO COMPETITION A number of statements that athletes have used to describe their thoughts and feelings before or during competition are listed below. Read each statement and then circle the number to the right of the statement that indicates how you feel right now in relation to the upcoming trial. The inventory is divided into 2 sections. Section 1 asks you to rate how often the symptoms (thoughts and feelings) are occurring, and section 2 asks you to rate whether you rate the occurrence of these symptoms as positive (facilitative) or negative (debilitative) towards your upcoming performance. Some athletes feel they should not admit to feelings of nervousness or worry, but such reactions are actually very common, even among professional athletes. There are, therefore, no right or wrong answers. Do not spend too much time on any one statement. SECTION 1 Never SECTION 2 All of Very Unimportant Very I am concerned about this competition 1 2 3 4 5 Negative 6 the time 7 -3 -2 -1 0 +1 Positive +2 +3 I feel nervous 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I feel at ease 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I have self doubts 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I feel jittery 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I feel comfortable 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I am concerned that I may not do as 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 wellbody in this competition as I could My feels tense 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I feel self-confident 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I am concerned about losing 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I feel tense in my stomach 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I feel secure 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I am concerned about choking under 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 Pressure My body feels relaxed 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I am confident I can meet the challenge 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I am concerned about performing poorly 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 My heart is racing 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I’m confident about performing well 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I’m worried about reaching my goal 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I feel my stomach sinking 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I feel mentally relaxed 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I’m concerned that others will be 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 disappointed my performance My hands arewith clammy 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I’m confident because I mentally picture 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 myself reachingI won’t my goal I’m concerned be able to 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 concentrate My body feels tight 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 I’m confident at coming through under 1 2 3 4 5 6 7 -3 -2 -1 0 +1 +2 +3 pressure Appendix B CONSENT FORM Name of project: Frequency and perception of pre-competition symptoms (thoughts and feelings) in elite and non-elite athletes Reference Number: Researchers Name: Harriet Major Participants Name: Please circle the squad you are trialling: U14 U16 I confirm that I have read and fully understood the information sheet for the above study. I have had the opportunity to consider the information, ask any questions which I have had, and have had these answered satisfactory. I understand that my participation is voluntary and that I am free to withdraw at any time, without giving any reason, without my medical care legal rights being affected. I understand that I may only participate in this study if; a) I am trialling for the Rounders England U14 or U16 squad Signature: Parent/Guardian Printed Name: Signature:
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