专题：Measurement Invariance in Structural Equation Modeling

This cluster of papers focuses on the topic of measurement invariance in structural equation modeling, exploring concepts such as factor analysis, latent class analysis, reliability estimation, model fit indices, Likert scales, Cronbach's alpha, item response theory, and cross-cultural research. The papers discuss various methods and best practices for evaluating and ensuring measurement invariance across different groups and conditions.
最新文献
'Simple Mistakes' in College Algebra: an Analysis of Students' Perceptions of Their Errors Using Attribution Theory

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Questionnaire Use and Development in Health Research

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Essential Validation Criteria for Rigorous Covariance‐Based Structural Equation Modelling

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Beyond total scores: Enhancing psychotherapy outcome prediction with item-level scores.

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A supervised learning approach to estimating IRT models in small samples

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On the Meaning of Measurement Invariance in Social Relations—Confirmatory Factor Analysis for Relative Variance Parameters

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A Method for Imputing Ordinal Responses at the Intersection of Misfitting Items and Persons in a Guttman Scale

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Impact of differential item functioning on item model fit using concurrent equating method

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A Summary and Critical Evaluation of Two Methods of Measuring PA and SB

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Comparing and Combining IRTree Models and Anchoring Vignettes in Addressing Response Styles

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近5年高被引文献
Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example

article Full Text OpenAlex 833 FWCI142.175

Single Item Measures in Psychological Science

article Full Text OpenAlex 532 FWCI205.318

A Review of Key Likert Scale Development Advances: 1995–2019

review Full Text OpenAlex 430 FWCI16.851

Power Analysis for Parameter Estimation in Structural Equation Modeling: A Discussion and Tutorial

article Full Text OpenAlex 369 FWCI49.487

Effect size guidelines for cross-lagged effects.

article Full Text OpenAlex 342 FWCI59.16

Common Method Bias: It's Bad, It's Complex, It's Widespread, and It's Not Easy to Fix

article Full Text OpenAlex 335 FWCI99.694

HTMT2–an improved criterion for assessing discriminant validity in structural equation modeling

article Full Text OpenAlex 307 FWCI40.068

A perspective on using partial least squares structural equation modelling in data articles

article Full Text OpenAlex 305 FWCI141.999

Normalizing the Use of Single-Item Measures: Validation of the Single-Item Compendium for Organizational Psychology

article Full Text OpenAlex 237 FWCI41.092

Alpha, Omega, and H Internal Consistency Reliability Estimates: Reviewing These Options and When to Use Them

article Full Text OpenAlex 206 FWCI24.666