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Wang, Ze – Large-scale Assessments in Education, 2022
In educational and psychological research, it is common to use latent factors to represent constructs and then to examine covariate effects on these latent factors. Using empirical data, this study applied three approaches to covariate effects on latent factors: the multiple-indicator multiple-cause (MIMIC) approach, multiple group confirmatory…
Descriptors: Comparative Analysis, Evaluation Methods, Grade 8, Mathematics Achievement
Elstad, Eyvind; Lejonberg, Eli; Christophersen, Knut-Andreas – Education Inquiry, 2015
Norwegian education authorities pursue the objective that students in upper secondary schools should evaluate teaching. This kind of evaluation scheme has, however, elicited resistance from teachers. The aims of this article are to explain the advent of teaching evaluation policies in Norway and to explore which factors explain teacher resistance…
Descriptors: Teacher Education Programs, Secondary School Students, Teacher Evaluation, Teacher Attitudes
Anderson, Daniel; Farley, Dan; Tindal, Gerald – Journal of Special Education, 2015
Students with significant cognitive disabilities present an assessment dilemma that centers on access and validity in large-scale testing programs. Typically, access is improved by eliminating construct-irrelevant barriers, while validity is improved, in part, through test standardization. In this article, one state's alternate assessment data…
Descriptors: Mental Retardation, Evaluation Methods, Student Evaluation, Standardized Tests
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
Aydin, Utkun; Ubuz, Behiye – Learning and Individual Differences, 2010
This structural equation modeling study aimed to investigate both direct and indirect relations between metacognition and geometrical knowledge. The model was tested using data from tenth grade secondary school students (N=923). It was used to estimate and test the hypothesized effects of two metacognitive constructs (knowledge of cognition and…
Descriptors: Structural Equation Models, Metacognition, Grade 10, Secondary School Students
Thorsen, Cecilia; Cliffordson, Christina – Educational Research and Evaluation, 2012
Research has found that grades are the most valid instruments for predicting educational success. Why grades have better predictive validity than, for example, standardized tests is not yet fully understood. One possible explanation is that grades reflect not only subject-specific knowledge and skills but also individual differences in other…
Descriptors: Grades (Scholastic), Predictive Validity, Grading, Criteria
Hong, Guanglei; Nomi, Takako – Journal of Research on Educational Effectiveness, 2012
The conventional approaches to mediation analysis such as path analysis and structural equation modeling typically involve specifying two structural models, one for the mediator and the other for the outcome. We employ an alternative approach that avoids some strong identification assumptions invoked by the conventional approaches. By applying a…
Descriptors: Evaluation Methods, Path Analysis, Structural Equation Models, Outcomes of Education
Saris, Willem E.; Satorra, Albert; van der Veld, William M. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
Assessing the correctness of a structural equation model is essential to avoid drawing incorrect conclusions from empirical research. In the past, the chi-square test was recommended for assessing the correctness of the model but this test has been criticized because of its sensitivity to sample size. As a reaction, an abundance of fit indexes…
Descriptors: Structural Equation Models, Validity, Goodness of Fit, Evaluation Methods
Wong, Emily M. L.; Li, Sandy C. – Australasian Journal of Educational Technology, 2011
Despite the common belief that information and communication technology (ICT) has the potential to support certain fundamental changes in learning, few have examined ICT implementation conceptually within a wider context of educational change. Methodologically, we are by and large limited to building simple models that accommodate only a single…
Descriptors: Foreign Countries, Technology Integration, Collegiality, Educational Change
Marsh, Herbert W.; Ludtke, Oliver; Trautwein, Ulrich; Morin, Alexandre J. S. – Structural Equation Modeling: A Multidisciplinary Journal, 2009
In this investigation, we used a classic latent profile analysis (LPA), a person-centered approach, to identify groups of students who had similar profiles for multiple dimensions of academic self-concept (ASC) and related these LPA groups to a diverse set of correlates. Consistent with a priori predictions, we identified 5 LPA groups representing…
Descriptors: Structural Equation Models, Goodness of Fit, Profiles, Prediction
Darcy, Maria U. A.; Tracey, Terence J. G. – Journal of Counseling Psychology, 2007
The authors examined circumplex models of interest structure across time (Grades 8, 10, and 12), gender, and analytic method in a secondary analysis of vocational interest type (Realistic, Investigative, Artistic, Social, Enterprising, and Conventional) data generated from the American College Testing database (national sample of 69,987 students).…
Descriptors: Grade 8, Structural Equation Models, Multidimensional Scaling, Vocational Interests