Cork Journal of Applied Psychology (2015) 14-26 ISSN Pending Cork Journal of Applied Psychology Journal homepage: www.ucc.ie/en/apsych/uccpsychjournal The developmental course of the empathy-altruism hypothesis: the relationship between the development of children’s empathic concern and altruistic behaviours Brian Harrington, Jessica Bramham, Michael O’Connell ___________________________ Keywords Adult ADHD Self-Report Parent-Report Accuracy ABSTRACT _______________________________________________________________________ The primary aim of the present study was to determine whether there was a relationship between empathy and altruism in nine to twelve-yearold school children. In addition the present study had three related objectives: to determine whether this association was stronger for affective or cognitive empathy; to determine if there was gender differences in relation to empathy and altruism in children and to determine if levels of empathy and altruism in children increased with age. A sample of 300 children completed measures of affective empathy, cognitive empathy, and altruism. The Bryant Index (Bryant, 1982) is a self-report measure which was used to measure levels of affective empathy. The, Reading the Mind in the Eyes Test Child Version (BaronCohen, Wheelwright, Spong, Scahill & Lawson, 2001) is a test which assesses a child’s ability to read someone’s mental state through observing the eye area of the face. The Swank Behavior Inventory (Swank, 2008) is a self-report measure of altruism in children. Data were analysed using Pearson Product Moment Correlations, independent t-tests and multiple linear regression. Significant positive correlations were reported in relation to affective empathy and altruism. There was no gender effect in relation to levels of cognitive empathy and altruism. However there was a significant gender effect in relation to affective empathy, with females scoring higher on the measure of affective empathy than males. Significant positive correlations were also reported in relation to affective empathy and age as well as cognitive empathy and age. An exploratory regression model was significant with age and affective empathy emerging as significant predictors of altruism in this model. Results are discussed in the context of the empathy-altruism hypothesis and child development. Recommendations for future research include the use of a multi-method approach combining self-report measures with physiological measures. ©University College Cork. All rights reserved 14 1. Introduction Encouraging the development of empathy in children has been the aim of various educators and educational programmes (Bryant, 1982; Stetson, Hurley & Miller, 2003; Schonert-Reichl, Smith, Zaidman-Zait & Hartzman, 2012; Thompson & Gullone, 2003). In a similar way understanding the developmental roots of human altruism has been the aim of numerous researchers (Ahammer & Murray, 1979; Warneken & Tomasello, 2009). Nevertheless charting the developmental trajectory of altruistic behaviour in children has proven to be a contentious and challenging area of research (Cialdini & Kenrick, 1976; Kenrick, Baumann & Cialdini, 1979). The empathyaltruism hypothesis (Batson, 1991) is one possible predictor of altruistic behaviour. Empathy can be divided into various components. Affective empathy focuses on the emotional response of the observer to the affective state of another individual (BaronCohen & Wheelwright, 2004). The cognitive component of empathy has been described as “theory of mind” (Astington, Harris & Olson, 1988 as cited in Baron-Cohen & Wheelwright, 2004) or “mind-reading” (Baron-Cohen, 1995). On comparing the affective and cognitive components of empathy it can be concluded that empathy contains these two components (Davis, 1994) both as distinct entities and merging categories (Baron-Cohen & Wheelwright, 2004). Lamm, Batson & Decety (2007) divide empathy into three components: affective response, cognitive capacity, and monitoring mechanisms. The purpose of these monitoring mechanisms is to discern if the focus is on the “self” or on the “other”. Batson (1991) asks the question: Is our ultimate goal, when assisting another human being, to benefit them only? Batson’s (1991) empathy-altruism hypothesis proposes that the motivation, to help others, emerges from an empathic concern for others and thus is principally other orientated. This form of altruism, “true altruism” which is other orientated, can be distinguished from more egoistic motives to help based on assisting someone in difficulty to relieve one’s own personal distress. Over 30 experiments have been carried out to test the empathy-altruism hypothesis against egoistic alternatives. These experiments mainly took place in a university setting with undergraduate students as experimental subjects. These experiments used deception to assess if participants would help an individual in distress under various conditions. The primary aim of these experiments was to test the empathy-altruism hypothesis against alternative theories. The first alternative tested was aversive arousal reduction, which suggests that empathy for those suffering distress is an unpleasant feeling and therefore helping reduces this feeling (Batson, Ahmad & Lishner, 2009). Consistent with the predictions of the empathy-altruism hypothesis, individuals high in empathy offered to help regardless if escape from helping was easy or difficult (Batson, Duncan, Ackerman, Buckley & Birch, 1981; Toi & Batson, 1982). A second alternative to the empathyaltruism hypothesis is empathy-specific punishments. Empathy-specific punishments involve an individual engaging in helping behaviour to avoid material and social punishments, as well as to avoid punishing themselves. According to this theory, individuals engage more in helping behaviour when they feel empathic concern because they believe that punishments in the form of guilt and self-criticism are a consequence of failing to help another individual for whom they feel empathy. The conclusion based on findings from three studies that tested this hypothesis was, empathic concern does not create a form of motivation focussed on the ultimate goal of eluding negative social evaluations and negative self-evaluations. This evidence discounted empathy-specific punishments in the form of self-censure or social disapproval as an alternative explanation for the empathyaltruism hypothesis (Batson, 2011). 15 A final egoistic alternative to the empathy-altruism hypothesis is empathy specific reward. This has been termed the negative state relief explanation of altruism (Cialdini et al., 1987). This alternative explanation proposes that helping behaviours bring mood enhancing self-rewards. Results from experiments testing this explanation suggested that an empathy-helping relationship was created even when it was possible to get negative state relief through manipulating anticipated mood enhancement with the participants (Batson et al., 1989). The implication of these findings is that the link between empathic concern and altruistic motivation is robust and is not diminished by the possibility of receiving mood-enhancing self-rewards. A crucial facet of Batson’s (1991) definition of empathy is that it is an, “other oriented emotional response” (Batson et al., 2009, p. 418). This implies that the perspective of the other is taken and the focus is not on the self. A number of experiments have tested this hypothesis. One of these experiments found that participants imagining how the other felt produced empathy while participants imagining how they themselves would feel produced empathy and personal distress (Batson et al., 1997). As has been already discussed, personal distress has been suggested to be a source of egoistic motivation to help. Other experiments which have examined this self-other distinction have reported similar findings (Batson et al., 2003). Therefore perspective taking plays a central role in the relationship between empathy and altruism. These studies have the strength of recreating, real-life situations and therefore measuring altruism from a situational perspective as opposed to a dispositional perspective (Batson et al., 2009). However, the use of techniques to manipulate empathy may not replicate real-life conditions. This methodology has been carried out in a university environment and for ethical reasons these experimental paradigms would not be suitable for children: due to the use of deception in relation to the perception of another individual in distress. Therefore empirical research with children regarding empathy and prosocial behaviour has often involved different experimental paradigms. 1.1 The relationship between empathy and prosocial behaviour in children In a review of studies into the relationship between empathy and prosocial behaviour in adults and children, Eisenberg and Miller point out that “because one frequently cannot determine people’s motives for their prosocial actions, it often is impossible to distinguish altruistic behaviour from non-altruistic prosocial behaviours” (1987, p.92). For this reason in their review the authors use prosocial behaviour to refer to both altruistic and non-altruistic prosocial behaviours. Correlational studies have been used to measure the relationship between empathy and prosocial behaviour in children. Barnett and Thompson (1985) took a sample of 116 children aged 9 to 11 years and measured their levels of empathy using the Bryant Index (1982). Prosocial behaviour was measured through teacher ratings of the helpfulness of a child both when a peer was obviously in need of help and when a peer had a subtle need. A low significant correlation was found between empathy and a peer having a subtle need. Eisenberg, Pasternak and Lennon (1984, as cited in Eisenberg & Miller, 1987) used the Bryant Index (Bryant, 1982) and two experimental conditions (assisting an adult to pick up toys and donating money to children in need) across two groups. The first group comprised 14 girls and boys aged 7-8 years while the second group comprised 34 girls aged 9-10 years. A low positive correlation was found between empathy and helping an adult pick up toys in both groups, with the correlation being slightly higher for older children. In terms of donating money to children in need, a moderate correlation between empathy was found in the younger group, whereas a low correlation was found in the older group (Eisenberg et al, 1984, as cited in Eisenberg & Miller, 1987). Recent research suggests that altruism is not a homogenous trait, therefore while a child may be highly altruistic in relation to sharing information, the 16 child’s altruism in relation to sharing goods such as money may be low (Warneken & Tomasello, 2009). The findings of this study also challenge the suggestion that there is a positive linear development of altruism in children (Underwood & Moore, 1982). Studies validating measures of empathy for children have found a positive linear developmental trajectory. Reading the Mind in the Eyes Child Version is used to assess children’s ability to read the mental state of others by looking at the eye area of the face (Baron-Cohen, Wheelwright, Spong, et al., 2001). The authors administered this test to a sample of children with an age range of 6 - 12 years. There was an age effect with the 6 8 year olds getting significantly lower scores on the Eyes Test than the 8 - 10 year olds and 10 - 12 year olds. These two older groups of children did not differ significantly from each other in terms of scores. Therefore the research evidence suggests that, as children develop, their capacity to read the mental state of others also develops. No effect for gender was found in relation to this test (BaronCohen, Wheelwright, Spong, et al., 2001). Bryant’s (1982) Empathy Index for Children and Adolescents was explicitly intended as a measure of affective empathy with the central aim of developing a greater understanding of the affective arousal component of empathy. In a sample with an age range of 6 - 13 years, 12 and 13 year olds had higher levels of affective empathy than the children aged between 6 and 10 years. A gender effect was found in this sample, with females scoring higher on this measure of empathy than males (Bryant, 1982). Recent research points to how the affective component of empathy could disrupt the altruistic process of helping others. Some researchers have noted that if infants or adults could only perceive others as like themselves this merging of self and other could cause personal distress rather than pro-social helping behaviour (Decety & Lamm, 2009, as cited in Decety & Meltzoff, 2011; Lamm et al, 2007). Empirical studies that have used neuroimaging have investigated the abovementioned issue in both adults and children. As previously mentioned; evidence suggests that imagining how one would feel instead of imagining how the other would feel increases both empathic concern and personal distress (Batson et al., 1997). Lamm et al. (2007) tested this theory through an experimental paradigm which involved participants observing video clips of patients in pain. Participants were instructed to use cognitive appraisal in the form of “imagine other” (imagine you are the patient in pain) and “imagine self” (imagine you are experiencing the pain) when viewing these video clips. Participants in the “imagine self” condition had stronger hemodynamic responses in the left and right amygdala than participants in the “imagine other” condition. The amygdala has been associated with fear responses (Carlson, 2010) therefore this neuroscientific evidence suggests a higher level of personal distress in individuals who adopt a self-perspective in relation to empathy. Decety, Michalska and Akitsuki (2008) used fMRI machine to scan 17 typically developing children with an age range of 7-12 years who watched a short video clip showing painful and non-painful situations. Increased hemodynamic activity was found in neural circuits such as the insula and the anterior midcingulate cortex in children who observed another individual in pain. These neural circuits are also involved in processing pain first-hand. Therefore children who watch another person in pain experience shared representations with the person in pain at a neural level and this has important implications for the development of empathy in children. However while experiencing pain first hand and observing another person in pain share common neural circuitry, the qualitative experience of these two states differs (Decety & Grezes, 2006). Nevertheless the affective experience of a shared neural representation of pain in the form of affective empathy may not facilitate altruism as it may cause empathic overarousal. Some researchers have argued that the regulation of emotions through the use of cognitive appraisal will prevent empathic over-arousal and cause the individual to create a detached observer position (Lamm et al., 2007). This evidence highlights the need for a 17 cognitive component of empathy to exert executive control over the affective component of empathy in order to fully facilitate altruism. Decety and Lamm (2006) have concluded that empathy involves both topdown and bottom-up information processing. From this perspective, it could be argued that the cognitive component of empathy acts as a control mechanism over the affective component of empathy, facilitating altruistic behaviour by minimising the personal distress of the child observing the other child in need. Previous studies with children have primarily used one measure of affective empathy and attempted to find relationships between empathy and altruism. This study aims to take recent research in social psychology and cognitive neuroscience into account which highlights the role of cognitive appraisal in regulating the affective component of empathy in order to fully facilitate altruism. Therefore two distinct measures of empathy will be used in this study: a measure of affective empathy and a measure of cognitive empathy. In addition a self-report measure of altruism will be used. On the basis of this literature review one overarching aim and three related objectives have been derived. The present study primarily aims to determine whether there is a relationship between empathy and altruism in 9 to 12-year-old school age children. In addition the present study has three related objectives: to determine whether this association is stronger for affective or cognitive empathy; to determine if there is gender differences in relation to empathy and altruism in children, and to determine if levels of empathy and altruism in children increase with age. 2.1 Participants The sample consisted of 300 male and female 9 - 12 year old children from three primary schools in the Dublin area (M = 10.82 years, SD = .918). The sample was 69% female (M = 10.88 years, SD = .778) and 31% male (M = 10.79 years, SD = .975). 2.2 Measures Child version of “Reading the Mind in the Eyes” test (Baron-Cohen, Wheelwright, Spong, et al., 2001) hereinafter referred to as the Eyes Test. The Eyes Test (Baron-Cohen, Wheelwright, Spong, et al., 2001) is used to assess children’s ability to read the mental state of others by looking at the eye area of the face. The authors based this test on a previous test of the same name designed for adults (Baron-Cohen, Wheelwright, Hill, Raste, & Plumb., 2001). Children choose one word out of a possible four words to describe the mental state of the actor in a photograph: participants receive a score of 1 for circling the word which corresponds with the mental state of the actor in the photograph. Children then get a score of 0 for circling any other word. All the scores of 1 are summed to get a total score. “Index of Empathy for Children and Adolescents” (Bryant, 1982) hereinafter referred to as the Bryant Index The Bryant Index (Bryant, 1982) was intended as a measure of affective empathy with the central aim of developing a greater understanding of the affective arousal component of empathy. Cronbach’s alpha of 0.68 for 9 - 10 year olds and 0.79 for 12 - 13 year olds were obtained when this index was originally developed, therefore this index has good internal reliability. Participants must tick a box indicating yes or no in response to 22 statements in relation to empathy. For example item 1 states: It makes me sad to see a girl who can’t find anyone to play with, to which the respondents must put a tick in a box labelled ‘yes’ or ‘no’ to indicate their response. Children complete this index individually by reading each item and writing their response in the appropriate box. The empathic response is coded as 1 and the nonempathic response is coded as 0. All the items 2. Method This study was a cross-sectional correlational study that investigated the relationship between empathy and altruism in 9 - 12 year old schoolchildren. The dependent variables being measured were affective empathy, cognitive empathy and altruism. 18 with 1 as the answer are then summed to get a total score of empathy. “Swank Behavior Inventory-Upper Elementary and Middle School Level” (Swank, 2008) hereinafter referred to as the SBI-MS. The SBI-MS (Swank, 2008) is an unpublished measure of altruism in children currently undergoing instrument testing for psychometric properties. A reliability analysis based on the data obtained in the present study was carried out and a Cronbach’s alpha of .876 was obtained, thus indicating good internal reliability. The measure is a 30 item index in which a child must choose one out of three possible behaviours which are rated in terms of altruistic behaviour. For example children read a scenario which relates to a classmate sitting alone at a table eating lunch. The children must then circle one of three statements relating to how they would respond to this situation. In relation to the abovementioned example children must choose between walking over to the child or telling the teacher and ignoring the child sitting alone. Children complete this inventory individually by reading each item and circling the statement which equates to their response. Scores range from 3 for high altruistic behaviour to 1 for a behaviour that deviates from altruism. All scores are summed to obtain a total score for altruistic behaviour. study. After assent had been obtained the children were given the three tasks to complete. Tasks were anonymous, children were only required to write their age and their gender on the front cover of the booklet containing the three tasks. The tasks were administered in the following order: The Eyes Test (Baron-Cohen, Wheelwright, Spong, et al., 2001); the Bryant Index (Bryant, 1982); and the SBI-MS (Swank, 2008). The Eyes Test contains a practice item, therefore the researcher asked the children to complete this first. The researcher then read the instructions for the other two tasks. The participants were then given the opportunity to ask any questions about the task procedure. Tasks took approximately 30 minutes to complete. There was a brief question and answer session when the tasks had been completed. 3. Results The data analysed for this study were scores for each participant on three different measures. The measures were the Eyes Test (Baron-Cohen, Wheelwright, Spong, et al., 2001), a measure of cognitive empathy; the Bryant Index (Bryant, 1982), a measure of affective empathy; and the SBI-MS (Swank, 2008), a measure of altruism. Data were analysed using Pearson Product Moment correlations, t-tests and multiple linear regression. The Statistical Package for the Social Sciences (SPSS) (IBM Inc., 2011) was used to analyse these data. Table 1 below details the mean scores for cognitive empathy, affective empathy and altruism. The highest possible score for cognitive empathy was 28, therefore the mean score indicates there were no ceiling effects. The highest possible score for affective empathy was 22, therefore the mean score once more indicates that there were no ceiling effects. The highest possible score for altruism was 90. The mean score in this instance indicates the possibility of ceiling effects in relation to this variable. 2.3Procedure A number of primary schools in the Dublin area were contacted between September and December 2012. Three of these schools agreed to take part in this study. The school principals were sent a letter detailing the purpose of the study and a copy of the test booklet which contained the three measures. Letters explaining the purpose of the study and consent forms were sent to parents/guardians in January and February 2013. Children, whose parents/guardians gave their consent, were given an information sheet and an assent form on the day the tasks were administered. The researcher read the information sheet for the children and obtained their written assent to take part in the 19 Table 1 Mean scores for cognitive empathy, affective empathy and altruism; Dependent variable Cognitive empathy Affective empathy Altruism Scale Gender N M SD The Eyes Test (Baron-Cohen et al., 2001a) male 92 19.85 2.64 female 203 19.61 2.65 total 295 19.68 2.65 male 92 14.41 2.74 female 205 16.65 2.71 total 297 15.96 2.90 male 90 80.73 8.51 female 203 81.49 7.09 total 293 81.26 7.55 The Bryant Index (Bryant, 1982) SBI-MS (Swank, 2008) females in this sample. The magnitude of the differences in the means (mean difference = 2.24, 95% CI: -2.90 to -1.56) was small (eta squared = 0.127). Table 1 also indicates the gender differences in terms of scores of cognitive empathy, affective empathy and altruism. A significant difference was found between males and females in relation to scores on the measure of affective empathy (t(295) = -6.54; p < .05). Inspection of the mean scores indicates a higher level of affective empathy in females than in males, thus indicating a higher level of self-reported affective empathy in the No significant difference was found between males and females in relation to scores on the measure of cognitive empathy (t(293) = .697; p > .05). No significant difference was found between males and females in relation to scores on the measure of altruism (t(291) = -.798; p > .05). Table 2 Correlations coefficients between cognitive empathy, affective empathy, altruism and age Cognitive Affective empathy Altruism Age .166** .56 .127* .160** .132* empathy 1.Cognitive empathy 2. Affective empathy -.111 3. Altruism **p<.01 * p<.05 20 reported (r = .132; p < .05). Using Cohen’s (1988) guidelines for assessing effect size this correlation can be described as low. Based on these results it is reasonable to infer that as children get older the affective aspect of their empathic tendencies also increases. A positive significant correlation between cognitive empathy and age was reported (r = .127; p < .05). Using Cohen’s (1988) guidelines for assessing effect size this correlation can be described as low. Based on these results it is reasonable to infer that as children get older the cognitive aspect of their empathic tendencies also increases. Two tailed Pearson Product Moment Correlations were conducted to assess the strength and direction of the relationship between the following variables: cognitive empathy, affective empathy, altruism and age. A positive significant relationship between cognitive and affective empathy was reported (r = .166; p < .01). Using Cohen’s (1988) guidelines for assessing effect size this correlation can be described as low. It is possible to infer that the cognitive and affective components of empathy are interrelated based on these results. A positive significant correlation between affective empathy and altruism was reported (r = .160; p < .01). Using Cohen’s (1988) guidelines for assessing effect size this correlation can be described as low. It is possible to infer that children high in affective empathy are more altruistic based on these results. The following independent variables were entered into a multiple linear regression: age, affective empathy and cognitive empathy. The dependent variable was altruism. This exploratory regression model was significant (F(3, 282) = 4.886; p < .003; Adjusted R² = .39). A positive significant correlation between affective empathy and age was Table 3 Regression coefficients predicting altruism Variable Age β -.154 t -2.606 p .01 Affective empathy .172 2.914 .004 Cognitive empathy .056 .944 .346 4. Discussion As can be seen in Table 3 above, age and affective empathy emerged as significant predictors of altruism in this model, while cognitive empathy was not a significant predictor. Affective empathy was positively related to altruism after controlling for cognitive empathy and age. Based on these results it can be concluded that as children’s levels of affective empathy increase so do their levels of altruism. Age is negatively related to altruism after controlling for affective and cognitive empathy. Based on these results it can be concluded that as children grow older their levels of altruism decrease. 4.1 Main findings and implications The primary aim of the present study was to determine whether there was a relationship between empathy and altruism in 9 to 12 year-old school children. In addition the present study had three related objectives: to determine whether this association was stronger for affective or cognitive empathy; to determine if there was gender differences in relation to empathy and altruism in children, and to determine if levels of empathy and altruism in children increased with age. Affective empathy was found to be positively correlated with altruism. Cognitive empathy and affective empathy were also 21 found to be correlated with each other. Cognitive empathy and affective empathy were found to be positively correlated with age. The correlation was found to be marginally higher between affective empathy and age than between cognitive empathy and age. Gender differences between males and females in terms of levels of affective empathy were reported. An exploratory regression was significant with affective empathy and age emerging as significant predictors of altruism. The correlation between affective empathy and altruism provides a degree of support for the empathy-altruism hypothesis in that Batson (1991) proposes that the motivation behind human altruism is an empathic concern for others. Nevertheless the lack of a correlation between cognitive empathy and altruism makes interpretation of this evidence problematic. Research evidence suggests that an empathic response based on affective empathy alone may not facilitate altruistic behaviour in children as the personal distress involved, in a purely affective response, may cause a merging of self and other (Decety & Lamm, 2009 as cited in Decety & Meltzoff, 2011; Lamm, et al., 2007). Therefore the cognitive component of empathy which facilitates focussing on the other is a central facet of the empathy-altruism hypothesis. The correlation with affective empathy and cognitive empathy is consistent with the theory that while empathy consists of these two components they can be viewed as merging categories (Baron-Cohen & Wheelwright, 2004). The correlation between cognitive empathy and age is consistent with previous research using the Eyes Test which found that scores on this measure increased with age in a sample with an age range of 6 12 years (Baron-Cohen, Wheelwright, Spong, et al., 2001). The correlation between affective empathy and age is consistent with previous research which reported higher scores on the Bryant Index (Bryant, 1982) for 12 year-olds than for 9 year-olds (Bryant, 1982). Finally the negative relationship between altruism and age merits attention. Age emerged as a significant predictor of altruism in the regression analysis, while controlling for affective and cognitive empathy. Warneken and Tomasello make the point that “only humans appear to reshape their natural altruistic tendencies according to the norms of their social group” (2009, p. 401). The researchers also make the point that children must practice their natural altruism initially before the mechanisms that bring about the development of human altruism as “an evolutionary stable behaviour” (Warneken & Tomasello, 2009, p. 401) fully manifest themselves. They list these mechanisms as reciprocity, reputation and social norms. Warneken and Tomasello (2009) point out that, recent cross-species studies of altruism indicate that it is not a single homogenous trait. Organisms can exhibit higher or lower levels of altruism depending on the activities they are engaged in. They state that the three new domains most frequently researched are (a) assisting others to fulfil their goals, (b) sharing items that are valued, such as food, with others, and (c) giving others necessary or requested information. The negative relationship between altruism and age could be explained by a change in social norms between the children ranging in age from 9 to 12 years. Further evidence from researchers in the field of economics indicates that the contributions of older children tend to decline in linear public goods experiments testing altruism (Harbaugh & Krause, 2000). Public goods can be defined as commodities which can be used by one individual without excluding other individuals from using this commodity. Roads, parks, and police services are all examples of public goods. Experimental economists explore the conditions under which the likelihood of individuals contributing to the delivery of public goods in their environment is increased. In these experiments participants are given tokens and are given the choice between paying this “income” into a private account for self-benefit or a public account which benefits all the members of the group (Zelmer, 2003). Harbaugh and Krause (2000) concluded that altruistic behaviour in children is similar to that of adults. Nevertheless they note that repetition of games which test for altruism had a different effect on younger children than it 22 did on older children. Repetition generally increased the altruistic behaviour of younger children, whereas, repetition had the opposite effect on older children causing altruistic behaviour to decline. While research in this area is limited, this evidence suggests that social interactions and exchanges may have a different effect on the altruistic tendencies of children at different ages. The authors note the possibility that older children may have been less confused by the protocol, while younger children continued donating as they did not understand the game. However Warneken and Tomasello’s (2009) evidence suggests that younger children have an innate altruistic tendency. An alternative explanation is that older children could be more competitive and may be more attuned to the advantages and disadvantages of altruism. lack of research evidence into the mechanisms underlying the interaction between socialisation and human altruism. Each of these issues will now be addressed. According to Baron-Cohen and Wheelwright (2004) the concept of empathy is difficult to define. The researchers therefore divide empathy into the categories of affective empathy and cognitive empathy. In addition affective empathy is further subdivided into three subcomponents. Lamm et al., (2007) acknowledge the cognitive and affective components of empathy while adding a third component. According to the authors this third component consists of monitoring mechanisms which attempt to discern if an individual’s affective experience has a self, or other, origin. This difficulty in relation to definitions is equally relevant in relation to human altruism. While Batson’s (1991) definition of altruism focusses on an individual’s motivational state, other researchers focus on altruism in terms of costs, benefits and contexts (Warneken & Tomasello, 2009). In relation to altruism and socialisation, Kenrick et al. (1979) propose that rewarding altruistic acts within educational systems further strengthens the egoistic motivation to be altruistic. Other researchers cite the role of group identification and the role of reciprocity as being important mediators of altruistic behaviour (Harbaugh & Krause, 2000; Warneken & Tomasello, 2009). 4.2 Limitations Unlike previous studies this sample was not balanced for gender. Given the evidence of a gender effect in relation to affective empathy (Bryant,1982) the larger amount of female participants may have confounded the results of this study. However this would only have applied to affective empathy where a significant difference between males and females was reported. In addition the measure of altruism used in this study, the SBI-MS (Swank, 2008) is an unpublished measure still undergoing validation. A large number of high scores on this measure in the present study indicate possible ceiling effects. In addition although this measure proposes to be a measure of altruism, some items cover topics such as emptying a rubbish bin. This item appears to be measuring a general pro-social disposition rather than human altruism. This fact brings the face validity of this measure into question. 4.4 Practical implications Nevertheless, despite theoretical difficulties regarding the empathy-altruism hypothesis researching this hypothesis in a developmental context has various practical implications. Programmes that encourage the development of empathy in young children could have the effect of encouraging more prosocial behaviour in children. Therefore developing empathy in children could serve as a protective factor against anti-social behaviour. Some researchers have suggested that low levels of empathy could predict antisocial behaviour (Decety et al., 2008). Through researching the empathy-altruism hypothesis with typically developing children, 4.3 Theoretical issues There are two main theoretical difficulties in the study of the empathyaltruism hypothesis from a developmental perspective. Firstly there is no consensus on a single definition of “empathy” and “altruism” in the same manner as a construct such as selfefficacy (Bandura, 1997). Secondly, there is a 23 developmental norms of altruistic behaviour could be developed against which individuals could be measured. Future research in this area needs to combine correlational data, data from experimental studies and data from longitudinal studies to assess the dominant mechanisms of altruism in child development (Eisenberg et al., 1999). This technique of triangulation could provide converging evidence in relation to altruistic traits. In relation to measuring the empathy-altruism hypothesis, a multi-method approach combining physiological measures such as heart-rate, facial measures and self-report could control for the potential confounding factor of social desirability bias (Eisenberg et al., 1989). Baron-Cohen, S. (1995). Mindblindness: An essay on autism and theory of mind. Boston: MIT Press/ Bradford Books. 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The Altruism Question. New Jersey: Lawrence Erlbaum. Batson, C. D. (2011). Altruism in Humans. New York: Oxford University Press. Batson, C.D., Ahmad, N. & Lishner, D.A. (2009). Empathy and Altruism. In C.R. Snyder & S.J. Lopez (Eds.) Oxford Handbook of Positive Psychology Second Edition (pps. 417-426). Oxford: Oxford University Press. Batson, C. D., Batson, J. G., Griffitt, C. A., Barrientos, S., Brandt, J. R., Sprengelmeyer, P., & Bayly, M. J. (1989). Negative-state relief and the empathy-altruism hypothesis. Journal of Personality and Social Psychology, 56(6), 922-933. Batson, C. D., Duncan, B. D., Ackerman, P., Buckley, T., & Birch, K. (1981). Is empathic emotion a source of altruistic 4.5 Conclusion While this study found some evidence to support the empathy-altruism hypothesis in children, difficulties regarding face validity and ceiling effects in relation to one of the measures used may have confounded these results. 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