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A tutorial on assessing statistical power and determining sample size for structural equation models
Publikováno v:
Psychological Methods. 28:207-221
Structural equation modeling (SEM) is a widespread approach to test substantive hypotheses in psychology and other social sciences. However, most studies involving structural equation models neither report statistical power analysis as a criterion fo
Publikováno v:
Structural Equation Modeling: A Multidisciplinary Journal. 29:772-783
Publikováno v:
Structural Equation Modeling: A Multidisciplinary Journal. 28:851-858
The root mean square error of approximation (RMSEA) with various corrections for non-normality is a common fit index in structural equation modeling (SEM). The present study analyzed the performanc...
Publikováno v:
Psychological Assessment. 33:375-384
Comparability of measurement across different cultural groups is an essential prerequisite for any cross-cultural assessment. However, cross-cultural measurement invariance is rarely achieved and detecting the source of noninvariance is often challen
Prior studies investigating the effects of non-normality in structural equation modeling typically induced non-normality in the indicator variables. This procedure neglects the factor analytic structure of the data, which is defined as the sum of lat
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https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd762b8a088f96e6f062ac7861ea4947
Publikováno v:
Behavior research methods. 54(5)
In structural equation modeling, several corrections to the likelihood-ratio model test statistic have been developed to counter the effects of non-normal data. Previous robustness studies investigating the performance of these corrections typically
Publikováno v:
Journal of Mathematical Psychology. 98:102400
Multinomial processing tree (MPT) models are a class of stochastic models for categorical data that have recently been extended to account for heterogeneity in individuals by assuming separate parameters per participant. These extensions enable the e