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Sideridis, Georgios D.; Jaffari, Fathima – Measurement and Evaluation in Counseling and Development, 2022
The present study describes an R function that implements six corrective procedures developed by Bartlett, Swain, and Yuan in the correction of 21 statistics associated with the omnibus Chi-square test, the residuals, or fit indices in confirmatory factor analysis (CFA) and structural equation modeling (SEM).
Descriptors: Statistical Analysis, Goodness of Fit, Factor Analysis, Structural Equation Models
Smith, Leann V.; Cokley, Kevin – Measurement and Evaluation in Counseling and Development, 2016
The authors investigated the psychometric properties of the Social Identities and Attitudes Scale developed by Picho and Brown, which captures an individual's vulnerability to Stereotype Threat effects. Confirmatory factor analyses and group invariance tests conducted on a diverse sample of 516 college students revealed adequate reliability and…
Descriptors: Undergraduate Students, Attitude Measures, Likert Scales, Psychometrics
Bashkov, Bozhidar M.; Finney, Sara J. – Measurement and Evaluation in Counseling and Development, 2013
Traditional methods of assessing construct stability are reviewed and longitudinal mean and covariance structures (LMACS) analysis, a modern approach, is didactically illustrated using psychological entitlement data. Measurement invariance and latent variable stability results are interpreted, emphasizing substantive implications for educators and…
Descriptors: Statistical Analysis, Longitudinal Studies, Reliability, Psychological Patterns

Buczynski, Patricia L. – Measurement and Evaluation in Counseling and Development, 1994
Describes two strategies for assessing measures of practical fit and the goodness of fit from structural equation models. Focuses on linear structural relations (LISREL), chi-square fit index, practical fit indices, and hierarchical analyses. Includes empirical example of hierarchical model procedures used with practical and statistical indices to…
Descriptors: Evaluation Methods, Research Methodology, Statistical Analysis, Structural Equation Models

Shedler, Johnathan – Measurement and Evaluation in Counseling and Development, 1995
Discusses linear structural relations, Two Stage Least Squares, and path analysis as statistical procedures that sometimes permit causal inferences from correlational findings. Even though two variables cannot be interpreted causally due to a possible but unknown third variable, these methods are appropriate for handling models with correlated…
Descriptors: Causal Models, Correlation, Higher Education, Path Analysis