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Measuring the Functional Abilities of Children Aged 3-6 Years Old with Observational Methods and Computer Tools
Published on: June 20, 2020
Using freelisting to identify, assess, and characterize age differences in shared cultural domains
Robert W Schrauf1, Julia Sanchez
1Department of Applied Linguistics, Pennsylvania State University, 305 Sparks Building, University Park, PA 16802, USA. rws23@psu.edu
Freelisting reveals subtle cultural differences between age groups. This method effectively identifies variations in shared cultural domains among young and old individuals.
Area of Science:
- Anthropology
- Cultural Psychology
- Sociology
Background:
- Freelisting is a simple method for exploring shared cultural knowledge.
- Detecting subtle intracultural variations, especially between age groups, can be challenging.
- Understanding age-related differences in cultural perceptions is crucial for social sciences.
Purpose of the Study:
- To present novel techniques for analyzing freelist data to reveal intracultural variation.
- To specifically investigate and describe differences in cultural domains between young and old individuals.
Main Methods:
- Employed freelisting with young (N=31) and older (N=30) Mexicans in Mexico City.
- Collected freelists across four domains: animals, emotions, illnesses, and gendered occupations.
- Utilized minimum residual factor analysis (consensus analysis) to assess domain coherence and inter-informant agreement.
Main Results:
- Consensus analysis confirmed domain coherence and identified overall consensus.
- Comparison of observed versus predicted agreement revealed divergent patterns between age groups.
- Qualitative analysis of salient items highlighted age-specific differences consistent with existing research.
Conclusions:
- The developed techniques effectively reveal age and group differences in cultural domains.
- Freelisting, augmented with these analytical methods, is a valuable tool for cultural research.
- This approach enhances the ability to probe subtle intracultural variations across demographics.
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