The multifactorial nature of theory of mind: A structural modelling study Larry Cashion Rachel Dryer Michael Kiernan School of Social Sciences & Liberal Studies Charles Sturt University Bathurst NSW Australia Presented at the 14th Australasian Human Development Association Biennial Conference Perth Western Australia July 2005 Presentation Plan Theory of Mind and Classification Current research study method Age, gender, and the multifactorial nature of theory of mind Conclusions and implications Theory of Mind The ability to attribute mental states, such as thoughts, beliefs, intentions, desires, and feelings, to others and oneself The ability to perform social and laboratory tasks requiring theory of mind has also been called mentalising and mindreading Classification in Theory of Mind First-order theory of mind Second-order theory of mind Higher-order or advanced theory of mind First-Order Theory of Mind Unexpected locations “Where will X look for the object?” Unexpected contents “What does X think is in the box?” Appearance-reality “What is this object really?” Second-Order Theory of Mind Ice-Cream Van “Where will X look for Y?” Unexpected locations “Where does Y think X will look for the object?” Higher-Order Theory of Mind Understanding mental states in motivating actions “Does X mean what she says?” “Why did Y do that?” Reading complex mental states “What is X thinking or feeling?” Theory of Mind Modularity Theory of Mind Module (ToMM) Leslie (1987; Leslie & Roth, 1993) ToMM neurologically separate from other cognitive and brain systems Minimalist modularity Baron-Cohen (1999) Sub-modules of eye direction detection, intentionality detector, shared attention mechanism False belief & Theory of Mind False belief unrepresentative of theory of mind in general Bloom & German (2000) False belief as a highly complex cognitive function Bloom & German (2000) Competing Theory of Mind Models 3-factors 1st-, 2nd- & higher-order ToM Common use in literature 2-factors False belief tasks & other tasks Bloom & German 1-factor Theory of mind module Leslie Method I Participants 216 school-aged children Recruited from State Schools in NSW & Victoria Years 1, 3, and 5 Screened using a modified version of the Social Communication Profile (Coggins & Olswang, 2001) 2 children eliminated from sample prior to testing No adverse incidents Ethics approval from CSU, and NSW & Victorian Departments of Education Method II First-order tests Sally-Anne Task (unexpected locations) Smarties Task (unexpected contents) Second-order tests Ice-Cream Van Task Second-Order Sally-Anne Task Higher-order tests Strange Stories Test Faux Pas Test Eyes Test – Children’s Version Methodological Issues Memory prompts No memory prompts or hints were provided to participants Justification questions Often absent from previous first- and second-order ToM research Makes lower-order tasks more consistent with higher-order tasks Ensures understanding, not just recognition Hypotheses Significant group differences Older children will perform better than younger children Significant gender differences Females superior to males 3-factor model superior Better fit than 1- and 2-factor models Data Analysis Categorical data Chi-square (χ2) Continuous data ANOVA + Tukey HSD Structural Modelling Mplus confirmatory factor analysis Results I Task Year 1 Year 3 Year 5 Interpretation 72.9 90.1 89.3 Justification 65.7 83.1 89.3 Interpretation 87.1 94.4 100.0 Justification 71.4 87.3 98.7 Interpretation 27.9 42.3 52.0 Justification 17.6 38.0 50.7 Interpretation 69.6 81.7 96.0 Justification 31.9 57.7 85.3 Sally-Anne Smarties Ice-Cream Van Sally-Anne 2nd-Order Results II Task Year 1 Year 3 Year 5 Interpretation 4.70 5.25 6.05 Justification 2.29 3.25 4.09 5.55 7.11 8.29 15.02 16.90 18.77 Strange Stories (/8) Faux Pas (/10) Total Eyes Test (/28) Total Results III No gender differences for any task Results IV Model χ2 p df CFI TLI WRMR No correlated terms 3-factor 18.60 .069 11 0.975 0.951 .546 2-factor 23.42 .037 13 0.965 0.944 .634 1-factor 24.67 .038 14 0.946 0.946 .655 Sally-Anne Tasks correlated 3-factor 6.56 .766 10 1.000 1.024 .328 2-factor 20.60 .057 13 0.971 0.950 .593 1-factor 20.36 .087 13 0.975 0.960 .596 N = 216; all models use WLSM estimation & Santorra-Bentler scaled χ2 Smarties e1 .23 e2 .65 Sally-Anne (1st-order) .88 1st Order ToM .59 .34 .37 e3 .32 e4 .77 Sally-Anne (2nd-order) Ice-Cream Van .83 2nd Order ToM .76 .48 .81 e5 e6 .56 .58 Strange Stories .66 Faux Pas .65 e7 .71 Eyes .54 Higher Order ToM Summary of Results Hypothesis 1 – age group differences supported For all theory of mind tasks Hypothesis 2 – gender differences not supported For all theory of mind tasks Hypothesis 3 – 3-factor model significant superiority supported Implications I Support for the multifactorial nature of theory of mind Fits with current theory and use of ToM Challenge to ‘male brain’ theory of Baron-Cohen No gender differences detected No interaction effects Possible that gender effects were not evident because of prepubescent sample – but still fails to fit theory Implications II Challenge to current orthodoxy in theory of mind research Assumptions of age – ability development of theory of mind were not supported Knowledge that ‘something’ is going on is different from understanding what that ‘something’ is Instruction sets and ‘memory prompts’ affect the ecological validity of ToM tasks and artificially inflate passing rates Where Now? Further examination of ‘memory prompts’ and instruction sets Further research into the multifactorial nature of theory of mind using a larger array of tasks Using the 3-factor model to examine the relationship with executive functioning Contact Details Larry Cashion larry@cashion.net