This study is a substantive methodological synergy in which we used person-centred mixture modelling to investigate whether the Actual-Ideal Discrepancy (AID) model’s predictions might be verified in specific subgroups of participants (N = 1693) in order to explain apparent research discrepancies in previous variable-centred studies. Mixture regression models identified three profiles, and one of them (25.7%) clearly supported the predicted negative effect of Ideal Appearance on Physical Self-Concept (PSC), confirming our hypothesis. Our results suggest that the relationships between these constructs might be more complex than anticipated, with a weighting role of Ideal standards and an articulated pattern of direct and indirect relations. For example, the effect of Actual Appearance on PSC and Global Self-Esteem (GSE) increases as ideal standards increase, and the negative effects of ideal standards on PSC are only apparent when these standards are lower. Overall, these results also explain the elusive nature of the AID model.
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|Titolo:||Using person-centred mixture models to better understand the Actual-Ideal Discrepancy model.|
|Data di pubblicazione:||2013|
|Tipologia:||4.2 Abstract in Atti di convegno|