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Ben Kelcey; Fangxing Bai; Amota Ataneka; Yanli Xie; Kyle Cox – Society for Research on Educational Effectiveness, 2024
We develop a structural after measurement (SAM) method for structural equation models (SEMs) that accommodates missing data. The results show that the proposed SAM missing data estimator outperforms conventional full information (FI) estimators in terms of convergence, bias, and root-mean-square-error in small-to-moderate samples or large samples…
Descriptors: Structural Equation Models, Research Problems, Error of Measurement, Maximum Likelihood Statistics
Schnabel, Deborah B. L.; Kelava, Augustin; van de Vijver, Fons J. R. – Journal of College Student Development, 2016
For this study we examined collaborative assessment in counseling 820 German students who were going abroad and who were exposed to the Test to Measure Intercultural Competence (TMIC). A randomized pretest-posttest control group design was used. The control group did not get any test feedback. The remaining groups received written feedback or…
Descriptors: Study Abroad, Cultural Awareness, Self Esteem, Metacognition
Weston, Rebecca; Gore, Paul A., Jr. – Counseling Psychologist, 2006
To complement recent articles in this journal on structural equation modeling (SEM) practice and principles by Martens and by Quintana and Maxwell, respectively, the authors offer a consumer's guide to SEM. Using an example derived from theory and research on vocational psychology, the authors outline six steps in SEM: model specification,…
Descriptors: Structural Equation Models, Goodness of Fit, Guides, Statistical Analysis