Measurement invariance conventions and reporting: The state of the art and future directions for psychological research
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TLDR
The state of measurement invariance testing and reporting is surveyed, the results of a literature review of studies that tested invariance are details, and Implications for the future of measurement symmetry testing, reporting, and best practices are discussed.About:
This article is published in Developmental Review.The article was published on 2016-09-01 and is currently open access. It has received 1526 citations till now. The article focuses on the topics: Measurement invariance & Confirmatory factor analysis.read more
Citations
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Susceptibility to misinformation about COVID-19 around the world
Jon Roozenbeek,Claudia R. Schneider,Sarah Dryhurst,John R. Kerr,Alexandra L. J. Freeman,Gabriel Recchia,Anne Marthe van der Bles,Anne Marthe van der Bles,Sander van der Linden +8 more
TL;DR: A clear link between susceptibility to misinformation and both vaccine hesitancy and a reduced likelihood to comply with health guidance measures is demonstrated, and interventions which aim to improve critical thinking and trust in science may be a promising avenue for future research.
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Individual differences and changes in subjective wellbeing during the early stages of the COVID-19 pandemic.
Hannes Zacher,Cort W. Rudolph +1 more
TL;DR: The findings imply that the COVID-19 pandemic represents not only a major medical and economic crisis, but also has a psychological dimension, as it can be associated with declines in key facets of people's subjective wellbeing.
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Educational gains of in-person vs. distance learning in primary and secondary schools: A natural experiment during the COVID-19 pandemic school closures in Switzerland.
TL;DR: Compared with school closures related to the COVID‐19 pandemic in Switzerland, distance learning arrangements seem an effective means to substitute for in‐person learning, at least in an emergency situation, but not all pupils benefit to the same degree.
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A primer to (cross-cultural) multi-group invariance testing possibilities in R.
Ronald Fischer,Johannes Karl +1 more
TL;DR: 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 are provided.
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Psychometric Properties of a Spanish Version of the Fear of COVID-19 Scale in General Population of Lima, Peru.
TL;DR: The study found the Spanish-translated version of the FCV-19S has good psychometric properties and presents evidence of validity and reliability and convergence validity was found with depressive, anxious, and posttraumatic stress symptoms.
References
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Book
Statistical Power Analysis for the Behavioral Sciences
TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Book
Principles and Practice of Structural Equation Modeling
TL;DR: The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.
Journal ArticleDOI
Evaluating Goodness-of-Fit Indexes for Testing Measurement Invariance
TL;DR: In this paper, the authors examined the change in the goodness-of-fit index (GFI) when cross-group constraints are imposed on a measurement model and found that the change was independent of both model complexity and sample size.
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The file drawer problem and tolerance for null results
TL;DR: Quantitative procedures for computing the tolerance for filed and future null results are reported and illustrated, and the implications are discussed.
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Sensitivity of Goodness of Fit Indexes to Lack of Measurement Invariance
TL;DR: In this article, the sensitivity of goodness of fit indexes to lack of measurement invariance at three commonly tested levels: factor loadings, intercepts, and residual variances was examined, and the most intriguing finding was that changes in fit statistics are affected by the interaction between the pattern of invariance and the proportion of invariant items.
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Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
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