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Social representations, correspondence factor analysis and characterization questionnaire: a methodological
Grégory Lo Monaco1, Anthony Piermattéo, Christian Guimelli
1Aix-Marseille Université, Laboratoire de Psychologie Sociale (LPS EA849), 13621 Aix-en-Provence Cedex 1, France. gregory.lo-monaco@univ-amu.fr
The Spanish Journal of Psychology
|November 20, 2012
Summary
This study introduces a novel method for analyzing characterization questionnaire data using correspondence factor analysis. This approach enhances the understanding of social representations by examining item distributions and response modalities.
Area of Science:
- Social Psychology
- Quantitative Methods
- Data Analysis
Background:
- Characterization questionnaires, inspired by Q-sort methodologies, gather participant opinions on item relevance.
- Existing methods for analyzing this data are limited.
- Correspondence factor analysis (CFA) offers a potential new avenue for data interpretation.
Purpose of the Study:
- To introduce and demonstrate the application of correspondence factor analysis (CFA) for analyzing data from characterization questionnaires.
- To explore the utility of CFA in understanding social representations.
- To provide a methodological framework and empirical examples for this novel analytical approach.
Main Methods:
- Utilizing Q-sort inspired characterization questionnaires to collect data on item perception.
- Applying correspondence factor analysis (CFA) to analyze frequency distributions of items and response modalities.
- Illustrating the procedure with two empirical studies focusing on social representations of 'good wine' and 'good supermarket'.
Main Results:
- Demonstrated the feasibility and effectiveness of using CFA for characterization questionnaire data.
- Revealed detailed insights into the structure of social representations for the studied objects.
- Highlighted the unique contribution of CFA in processing nuanced item-level data.
Conclusions:
- Correspondence factor analysis (CFA) provides a powerful and original method for analyzing characterization questionnaire data.
- This approach enhances the understanding of social representations from both methodological and applied perspectives.
- The detailed procedure and empirical examples offer a valuable resource for researchers in social psychology and related fields.
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