MSA: The forgotten index for identifying inappropriate items before computing exploratory item factor analysis
نویسندگان
چکیده
Kaiser’s single-variable measure of sampling adequacy (MSA) is a very useful index for debugging inappropriate items before factor analysis (FA) solution fitted to an item-pool dataset item selection purposes. For reasons discussed in the article, however, MSA hardly used nowadays this context. In our view, unfortunate. present proposal, we first discuss foundation and rationale from ‘modern’ FA as well its usefulness process. Second, embed within robust approach propose improvements preliminary Third, implement proposal different statistical programs. Finally, illustrate use advantages with empirical example personality measurement.
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ژورنال
عنوان ژورنال: Methodology: European Journal of Research Methods for The Behavioral and Social Sciences
سال: 2021
ISSN: ['1614-2241', '1614-1881']
DOI: https://doi.org/10.5964/meth.7185