Methodology and results to analyse conceptions on nature utilization and preservation among teachers from 16 countries François Munoz, Franz Bogner, Pierre Clément and Graça S. Carvalho Environmental Psychology Conference 2007 – Bayreuth, Germany September 9-12 2007 LIRDHIST LIRDHIST The Biohead-Citizen project Scientific issues in biology, health and environment Environmental Education Health Education Human Reproduction and Sex Education Genetic and biological determinism Evolution LIRDHIST The Biohead-Citizen project Conceptions of (future) teachers The main goal is to clarify their structure and analyse them as social representations Potential impact on what is taught at school Personal information A specific part of the questionnaire + disseminated political questions Throughout 16 countries LIRDHIST Environmental Education Teachers’ environmental attitudes “Collection of beliefs, affect and behavioural intentions a person holds regarding environmentally related activities or issues” (Schultz et al, 2004) Cognitive structure Two-dimensional ecocentric-anthropocentric paradigm (Thompson and Barton, 1994; Bogner et al, 2000) Goal: Better prediction of behaviours LIRDHIST The Biohead-Citizen questionnaire Structure of questions = issues of interest Question 1 A4 Utilization (anthropocentric) Environmental attitudes Question 2 A8 … Preservation (ecolocentric) LIRDHIST The Biohead-Citizen questionnaire Structure of individuals = sampling groups P1 - Portugal Country P2 - France P3 - Germany … InB – In service biology secondary Teaching groups PreP – Pre service secondary … LIRDHIST Describing the data Answers to the questions A numeric coding is used A16: Our planet has unlimited natural resources 1 I agree 2 3 I don’t agree 4 PT FI scale HU ROLikert MA FR SN 1 33 4 7 20 213 29 2 40 1 7 25 38 3 55 12 41 36 17 4 223 289 279 192 62 IT CY ES LB TN 132 35 36 11 443 333 12 48 22 35 0 88 129 62 36 46 69 5 41 86 629 108 456 182 167 150 205 LIRDHIST Describing the data Answers to the questions A16: Our planet has unlimited natural resources LIRDHIST Multivariate statistical analysis Purposes Global dependence between questions/issues according to theoretical expectations Structure of questions Different attitudes across sampling groups: • regarding all issues. • regarding particular issues Structure of individuals LIRDHIST Multivariate statistical analysis Basic principle New variables Questionnaire Q1 Q2 Q3 Q4 Q5 A1 A4 A5 A7 2 1 3 4 1 1 2 3 3 2 3 2 1 2 2 4 3 1 3 1 Q1 Q2 Q3 Q4 Q5 V1 0.1 0.2 0.1 0.3 0.1 V2 0.2 0.3 0.1 0.5 0.2 V3 0.2 0.1 0.1 0.2 0.1 Capturing synthetic components V4 0.1 0.1 0.2 0.1 0.2 LIRDHIST Multivariate statistical analysis Properties of the new components • Components are linear combinations of questions • Independence : no correlation between the components • Variance partition: ordering by decreasing variance V1 V2 V3 V4 A1 0.5 A4 -0.3 0.1 A5 0.6 -1.0 0.8 -2.2 A7 0.8 1.2 -0.1 0.3 0.9 0.6 0.0 1.1 0.4 V1 = 0.5A1 - 0.3A2 + 0.6A3 + 0.8A4 LIRDHIST Multivariate statistical analysis Main methods available • Principal Component Analysis (PCA): euclidean distance between individuals. Only with quantitative data • Correspondance Analysis (CA): chi-square distance, well suited to categorical data. LIRDHIST Multivariate statistical analysis Featuring the variation in attitudes Variance according to the components V1 V2 LIRDHIST Environmental attitudes Structure of attitudes 15 questions– Principal Component Analysis Preservation Characterizing the attitudes Arrow for Likert scale V1 Utilization 1 2 3 4 V2 LIRDHIST Environmental attitudes What most differentiates the attitudes in socio-cultural groups Between-group analysis • Look for combinations of questions that most differentiate the groups • One can relate the new components to the structure of the basic PCA analysis LIRDHIST Structure of individuals What most differentiates the groups 16 country groups U UU U U U U LIRDHIST Structure of individuals Is the differentiation significant ? Country groups Randomization test p-value < 0.001 Actual differentiation LIRDHIST Structure of individuals What most differentiates the groups Between-group analysis • This kind of analysis may be applied either to separate issues or to the whole questionnaire. • One may investigate differentiation between countries, religions, teaching groups… according to specific hypotheses. • Analysis on groups inside any country. LIRDHIST Structure of individuals Controlling for the effect of country Orthogonal analysis • Look for attitudes that are independent from the teachers’ nationality • Point out if a common structure emerges throughout the countries LIRDHIST Structure of individuals Orthogonal analysis controlling for country No difference between countries Preservation Utilization LIRDHIST Looking for causes Orthogonal analysis Controlling the effect of one factor • Analysing attitudes independently from the effect of a given factor Independent test of another factor • We separate out the effect of both factors LIRDHIST Looking for causes Some factors can be counfounding • Religion and country are not independent LIRDHIST Looking for causes 1 - Orthogonal analysis controlling for religion No difference between religion groups LIRDHIST Looking for causes 2 - Independent effect of country Differences between countries independent from religion LIRDHIST Analysis of the cognitive structure Non-parametric statistical framework Investigating the effect of two factors A and B 1- Global PCA: effect of both A and B 2- Orthogonal analysis controlling for A: independent effect of B 3- Orthogonal analysis controlling for B: independent effect of A 4- Orthogonal analysis controlling for A and B: effect of the interaction between A and B LIRDHIST Opening up the discussion Multivariate analysis helps clarifying the structure of environmental attitudes What are the attitudes according to which individuals are most contrasting? Specific approaches allow testing hypotheses What most differentiate groups of individuals? Between-group analysis Can we distinguish the effects of related factors? Orthogonal analysis Randomization tests LIRDHIST Opening up the discussion Multivariate analysis helps clarifying the structure of environmental attitudes What are the attitudes according to which individuals are most contrasting? Specific approaches allow testing hypotheses What most differentiate groups of individuals? Between-group analysis Can we distinguish the effects of related factors? Orthogonal analysis Randomization tests LIRDHIST Environmental attitudes Structure of attitudes 15 questions– Principal Component Analysis Preservation Grouped questions = high positive correlation Orthogonal questions = no correlation Opposite questions = high negative correlation Utilization
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