Measurement invariance in the social sciences: Historical development, methodological challenges, state of the art, and future perspectives
This review summarizes the current state of the art of statistical and (survey) methodological
research on measurement (non) invariance, which is considered a core challenge for the …
research on measurement (non) invariance, which is considered a core challenge for the …
Why full, partial, or approximate measurement invariance are not a prerequisite for meaningful and valid group comparisons
A Robitzsch, O Lüdtke - Structural Equation Modeling: A …, 2023 - Taylor & Francis
It is frequently stated in the literature that measurement invariance is a prerequisite for the
comparison of group means or standard deviations of the latent variable in factor models …
comparison of group means or standard deviations of the latent variable in factor models …
Revolutionizing education: Artificial intelligence empowered learning in higher education
Global businesses are actively embracing Industry 4.0 and digital transformation.
Simultaneously, the education sector is leveraging digital tools to foster personalized …
Simultaneously, the education sector is leveraging digital tools to foster personalized …
New developments in measurement invariance testing: An overview and comparison of EFA-based approaches
When comparing relations and means of latent variables, it is important to establish
measurement invariance (MI). Most methods to assess MI are based on confirmatory factor …
measurement invariance (MI). Most methods to assess MI are based on confirmatory factor …
Methodological research and model development on structural equation models in China's mainland from 2001 to 2020
Y WANG, Z WEN, W LI, J FANG - Advances in Psychological …, 2022 - journal.psych.ac.cn
Structural equation modeling (SEM) is an important statistical method in social science
research. In the first two decades of the 21st century, great progress has been made in …
research. In the first two decades of the 21st century, great progress has been made in …
The necessity of testing measurement invariance in cross-cultural research: Potential bias in cross-cultural comparisons with individualism–collectivism self-report …
Individualism and collectivism are some of the most widely applied concepts in cultural and
cross-cultural research. They are commonly applied by scholars who use arithmetic means …
cross-cultural research. They are commonly applied by scholars who use arithmetic means …
Why measurement invariance is not necessary for valid group comparisons
A Robitzsch, O Lüdtke - 2022 - osf.io
Measurement invariance is an important topic in the psychometric literature of group
comparison in confirmatory factor analysis. It is frequently stated in the literature that …
comparison in confirmatory factor analysis. It is frequently stated in the literature that …
Exploratory factor analysis trees: Evaluating measurement invariance between multiple covariates
Measurement invariance (MI) describes the equivalence of a construct across groups. To be
able to meaningfully compare latent factor means between groups, it is crucial to establish …
able to meaningfully compare latent factor means between groups, it is crucial to establish …
A Causal Framework for the Comparability of Latent Variables
Measurement invariance (MI) describes the equivalence of measurement models of a
construct across groups or time. When comparing latent means, MI is often stated as a …
construct across groups or time. When comparing latent means, MI is often stated as a …
Finding clusters of groups with measurement invariance: Unraveling intercept non-invariance with mixture multigroup factor analysis
K De Roover - Structural Equation Modeling: A Multidisciplinary …, 2021 - Taylor & Francis
Comparisons of latent constructs across groups are ubiquitous in behavioral research and,
nowadays, often numerous groups are involved. Measurement invariance of the constructs …
nowadays, often numerous groups are involved. Measurement invariance of the constructs …