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A Primer to (Cross-Cultural) Multi-Group Invariance Testing Possibilities in R
Psychology has become less WEIRD in recent years, marking progress toward becoming a truly global psychology. However, this increase in cultural diversity is not matched by greater attention to cultural biases in research. A significant challenge in culture-comparative research in psychology is that...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657455/ https://www.ncbi.nlm.nih.gov/pubmed/31379641 http://dx.doi.org/10.3389/fpsyg.2019.01507 |
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author | Fischer, Ronald Karl, Johannes A. |
author_facet | Fischer, Ronald Karl, Johannes A. |
author_sort | Fischer, Ronald |
collection | PubMed |
description | Psychology has become less WEIRD in recent years, marking progress toward becoming a truly global psychology. However, this increase in cultural diversity is not matched by greater attention to cultural biases in research. A significant challenge in culture-comparative research in psychology is that any comparisons are open to possible item bias and non-invariance. Unfortunately, many psychologists are not aware of problems and their implications, and do not know how to best test for invariance in their data. We provide a general introduction to invariance testing and a tutorial of three major classes of techniques that can be easily implemented in the free software and statistical language R. Specifically, we describe (1) confirmatory and multi-group confirmatory factor analysis, with extension to exploratory structural equation modeling, and multi-group alignment; (2) iterative hybrid logistic regression as well as (3) exploratory factor analysis and principal component analysis with Procrustes rotation. We pay specific attention to effect size measures of item biases and differential item function. Code in R is provided in the main text and online (see https://osf.io/agr5e/), and more extended code and a general introduction to R are available in the Supplementary Materials. |
format | Online Article Text |
id | pubmed-6657455 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-66574552019-08-02 A Primer to (Cross-Cultural) Multi-Group Invariance Testing Possibilities in R Fischer, Ronald Karl, Johannes A. Front Psychol Psychology Psychology has become less WEIRD in recent years, marking progress toward becoming a truly global psychology. However, this increase in cultural diversity is not matched by greater attention to cultural biases in research. A significant challenge in culture-comparative research in psychology is that any comparisons are open to possible item bias and non-invariance. Unfortunately, many psychologists are not aware of problems and their implications, and do not know how to best test for invariance in their data. We provide a general introduction to invariance testing and a tutorial of three major classes of techniques that can be easily implemented in the free software and statistical language R. Specifically, we describe (1) confirmatory and multi-group confirmatory factor analysis, with extension to exploratory structural equation modeling, and multi-group alignment; (2) iterative hybrid logistic regression as well as (3) exploratory factor analysis and principal component analysis with Procrustes rotation. We pay specific attention to effect size measures of item biases and differential item function. Code in R is provided in the main text and online (see https://osf.io/agr5e/), and more extended code and a general introduction to R are available in the Supplementary Materials. Frontiers Media S.A. 2019-07-18 /pmc/articles/PMC6657455/ /pubmed/31379641 http://dx.doi.org/10.3389/fpsyg.2019.01507 Text en Copyright © 2019 Fischer and Karl. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Fischer, Ronald Karl, Johannes A. A Primer to (Cross-Cultural) Multi-Group Invariance Testing Possibilities in R |
title | A Primer to (Cross-Cultural) Multi-Group Invariance Testing Possibilities in R |
title_full | A Primer to (Cross-Cultural) Multi-Group Invariance Testing Possibilities in R |
title_fullStr | A Primer to (Cross-Cultural) Multi-Group Invariance Testing Possibilities in R |
title_full_unstemmed | A Primer to (Cross-Cultural) Multi-Group Invariance Testing Possibilities in R |
title_short | A Primer to (Cross-Cultural) Multi-Group Invariance Testing Possibilities in R |
title_sort | primer to (cross-cultural) multi-group invariance testing possibilities in r |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6657455/ https://www.ncbi.nlm.nih.gov/pubmed/31379641 http://dx.doi.org/10.3389/fpsyg.2019.01507 |
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