Journal ArticleDOI
Multidimensionality and Structural Coefficient Bias in Structural Equation Modeling: A Bifactor Perspective
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In this article, the authors consider several indices to indicate whether multidimensional data are "unidimensional enough" to fit with a unidimensional measurement model, especially when the goal is to avoid excessive bias in structural parameter estimates.Abstract:
In this study, the authors consider several indices to indicate whether multidimensional data are “unidimensional enough” to fit with a unidimensional measurement model, especially when the goal is to avoid excessive bias in structural parameter estimates. They examine two factor strength indices (the explained common variance and omega hierarchical) and several model fit indices (root mean square error of approximation, comparative fit index, and standardized root mean square residual). These statistics are compared in population correlation matrices determined by known bifactor structures that vary on the (a) relative strength of general and group factor loadings, (b) number of group factors, and (c) number of items or indicators. When fit with a unidimensional measurement model, the degree of structural coefficient bias depends strongly and inversely on explained common variance, but its effects are moderated by the percentage of correlations uncontaminated by multidimensionality, a statistic that rise...read more
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The Inventory of Complicated Grief—A Systematic Psychometric Review and Conceptual Replication Study of the Structural Validity
Alexander Schakowski,Justus Tönnies,Hans-Christoph Friederich,Mechthild Hartmann,Markus W. Haun +4 more
TL;DR: This article provided a psychometric review and conceptual replication of the Inventory of Complicated Grief (ICG) latent structure to test the hypothesis that existing studies overfit unreliable sources of variance, which overshadow the unidimensionality of the ICG.
Satisfaction with Sex Life Scale: New Psychometric Evidence in a Portuguese Population
Tomás Caycho-Rodríguez,Lindsey W. Vilca,Félix Neto,Brian Norman Peña-Calero,Berta Schnettler,Cirilo Humberto García Cadena,Miguel Barboza-Palomino,Joana Neto,Michael White +8 more
TL;DR: In this paper, the authors evaluated the psychometric properties of the Satisfaction with Sex Life Scale (SWSLS) using Confirmatory Factor Analysis (CFA) and item response theory (IRT).
Journal ArticleDOI
Evaluating the Decent Work Scale Measurement Model in Zimbabwe
H. Sanhokwe,Sylvester Takawira +1 more
TL;DR: In this paper , the authors examined the factor structure of the Decent Work Scale (DWS) using bifactor modelling and conducted invariance tests using multi-group confirmatory factor analysis.
Journal ArticleDOI
The Infertility-Related Stress Scale: Validation of a Brazilian–Portuguese Version and Measurement Invariance Across Brazil and Italy
G Casu,Victor Zaia,Erik Montagna,Antonio de Pádua Serafim,Bianca Bianco,Caio Parente Barbosa,Paola Gremigni +6 more
TL;DR: In this article , the Infertility-Related Stress Scale (IRSS) was translated into Brazilian-Portuguese, and its factor structure, reliability, and relations to sociodemographic and infertility-related characteristics and depression were examined.
Journal ArticleDOI
Over reliance on model fit indices in confirmatory factor analyses may lead to incorrect inferences about bifactor models: A cautionary note
Abstract: This brief article attempts to describe the importance of relying not just on model fit indices, but also on bifactor, confirmatory factor analysis to examine the factor structure of instruments presumed to be multidimensional. Three ancillary bifactor indices (explained common variance, omega hierarchical and percentage uncontaminated correlations) were calculated for three instruments that have been described as multidimensional in published research. One of these instruments, the Normative Beliefs about Aggression Scale (NOBAGS) demonstrated strong evidence of multidimensionality. The second instrument, Problem-Solving Inventory demonstrated some evidence of multidimensionality, but must be considered essentially unidimensional because of lack of sufficient evidence. The third instrument, Cyberchondria Severity Scale demonstrated essential unidimensionality with little evidence of multidimensionality. These findings support the argument that using only model fit statistics may lead researchers to draw incorrect conclusions about the dimensionality of an instrument.
References
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Journal ArticleDOI
Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
Li-tze Hu,Peter M. Bentler +1 more
TL;DR: In this article, the adequacy of the conventional cutoff criteria and several new alternatives for various fit indexes used to evaluate model fit in practice were examined, and the results suggest that, for the ML method, a cutoff value close to.95 for TLI, BL89, CFI, RNI, and G...
Journal ArticleDOI
Alternative Ways of Assessing Model Fit
Michael W. Browne,Robert Cudeck +1 more
TL;DR: In this paper, two types of error involved in fitting a model are considered, error of approximation and error of fit, where the first involves the fit of the model, and the second involves the model's shape.
Book
Structural Equations with Latent Variables
TL;DR: The General Model, Part I: Latent Variable and Measurement Models Combined, Part II: Extensions, Part III: Extensions and Part IV: Confirmatory Factor Analysis as discussed by the authors.
Journal ArticleDOI
Constructing validity: Basic issues in objective scale development
Lee Anna Clark,David Watson +1 more
TL;DR: In this article, the authors discuss theoretical principles, practical issues, and pragmatic decisions to help developers maximize the construct validity of scales and subscales, and propose factor analysis as a crucial role in ensuring unidimensionality and discriminant validity.
Book
Item response theory for psychologists
TL;DR: Item Response Theory as Model-Based Measurement as mentioned in this paper is a model-based approach to measuring persons in personality and attitude assessment, and it has been applied in Cognitive and Developmental Assessment.
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Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives
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