Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 0 |
Since 2016 (last 10 years) | 0 |
Since 2006 (last 20 years) | 6 |
Descriptor
Source
Journal of Educational… | 2 |
Developmental Psychology | 1 |
Journal of Experimental… | 1 |
Journal of Psychoeducational… | 1 |
Psychological Assessment | 1 |
Author
Publication Type
Journal Articles | 6 |
Reports - Research | 6 |
Education Level
Elementary Education | 2 |
Grade 8 | 2 |
Intermediate Grades | 2 |
Secondary Education | 2 |
Grade 10 | 1 |
Grade 11 | 1 |
Grade 12 | 1 |
Grade 4 | 1 |
Grade 5 | 1 |
Grade 6 | 1 |
Grade 7 | 1 |
More ▼ |
Audience
Location
Australia | 3 |
Asia | 1 |
California | 1 |
Germany | 1 |
United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
British Household Panel Survey | 1 |
Program for International… | 1 |
Trends in International… | 1 |
What Works Clearinghouse Rating
Marsh, Herbert W.; Nagengast, Benjamin; Morin, Alexandre J. S. – Developmental Psychology, 2013
This substantive-methodological synergy applies evolving approaches to factor analysis to substantively important developmental issues of how five-factor-approach (FFA) personality measures vary with gender, age, and their interaction. Confirmatory factor analyses (CFAs) conducted at the item level often do not support a priori FFA structures, due…
Descriptors: Structural Equation Models, Factor Analysis, Personality Measures, Gender Differences
Morin, Alexandre J. S.; Marsh, Herbert W.; Nagengast, Benjamin; Scalas, L. Francesca – Journal of Experimental Education, 2014
Many classroom climate studies suffer from 2 critical problems: They (a) treat climate as a student-level (L1) variable in single-level analyses instead of a classroom-level (L2) construct in multilevel analyses; and (b) rely on manifest-variable models rather than on latent-variable models that control measurement error at L1 and L2, and sampling…
Descriptors: Classroom Environment, Hierarchical Linear Modeling, Structural Equation Models, Grade 5
Marsh, Herbert W.; Abduljabbar, Adel Salah; Morin, Alexandre J. S.; Parker, Philip; Abdelfattah, Faisal; Nagengast, Benjamin; Abu-Hilal, Maher M. – Journal of Educational Psychology, 2015
Extensive support for the seemingly paradoxical negative effects of school- and class-average achievement on academic self-concept (ASC)-the big-fish-little-pond effect (BFLPE)--is based largely on secondary students in Western countries or on cross-cultural Program for International Student Assessment studies. There is little research testing the…
Descriptors: Self Concept, Secondary School Students, Social Influences, Elementary School Students
Marsh, Herbert W.; Liem, Gregory Arief D.; Martin, Andrew J.; Morin, Alexandre J. S.; Nagengast, Benjamin – Journal of Psychoeducational Assessment, 2011
The most popular measures of multidimensional constructs typically fail to meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors that are not so highly correlated as to detract from their discriminant validity. Part of the problem, the authors argue, is…
Descriptors: Structural Equation Models, Factor Analysis, Factor Structure, Correlation
Marsh, Herbert W.; Ludtke, Oliver; Muthen, Bengt; Asparouhov, Tihomir; Morin, Alexandre J. S.; Trautwein, Ulrich; Nagengast, Benjamin – Psychological Assessment, 2010
NEO instruments are widely used to assess Big Five personality factors, but confirmatory factor analyses (CFAs) conducted at the item level do not support their a priori structure due, in part, to the overly restrictive CFA assumptions. We demonstrate that exploratory structural equation modeling (ESEM), an integration of CFA and exploratory…
Descriptors: Structural Equation Models, Factor Structure, Personality Traits, Factor Analysis
Marsh, Herbert W.; Nagengast, Benjamin; Morin, Alexandre J. S.; Parada, Roberto H.; Craven, Rhonda G.; Hamilton, Linda R. – Journal of Educational Psychology, 2011
Existing research posits multiple dimensions of bullying and victimization but has not identified well-differentiated facets of these constructs that meet standards of good measurement: goodness of fit, measurement invariance, lack of differential item functioning, and well-differentiated factors that are not so highly correlated as to detract…
Descriptors: Locus of Control, Test Bias, Bullying, Structural Equation Models