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Hayduk, Leslie – Educational and Psychological Measurement, 2014
Researchers using factor analysis tend to dismiss the significant ill fit of factor models by presuming that if their factor model is close-to-fitting, it is probably close to being properly causally specified. Close fit may indeed result from a model being close to properly causally specified, but close-fitting factor models can also be seriously…
Descriptors: Factor Analysis, Goodness of Fit, Factor Structure, Structural Equation Models
McGrath, Robert E.; Walters, Glenn D. – Psychological Methods, 2012
Statistical analyses investigating latent structure can be divided into those that estimate structural model parameters and those that detect the structural model type. The most basic distinction among structure types is between categorical (discrete) and dimensional (continuous) models. It is a common, and potentially misleading, practice to…
Descriptors: Factor Structure, Factor Analysis, Monte Carlo Methods, Computation
Marsh, Herbert W.; Ludtke, Oliver; Nagengast, Benjamin; Trautwein, Ulrich; Morin, Alexandre J. S.; Abduljabbar, Adel S.; Koller, Olaf – Educational Psychologist, 2012
Classroom context and climate are inherently classroom-level (L2) constructs, but applied researchers sometimes--inappropriately--represent them by student-level (L1) responses in single-level models rather than more appropriate multilevel models. Here we focus on important conceptual issues (distinctions between climate and contextual variables;…
Descriptors: Foreign Countries, Classroom Environment, Educational Research, Research Design
Walpole, Sharon; McKenna, Michael C.; Uribe-Zarain, Ximena; Lamitina, David – Elementary School Journal, 2010
In this study of 116 high-poverty schools, we explored teaching and coaching in grades K-3. We developed and validated observation protocols for both coaching and teaching. Exploratory and confirmatory factor analyses were computed to identify and confirm factors that explained the protocol data. Three coaching factors were identified in both…
Descriptors: Poverty, Reading Aloud to Others, Structural Equation Models, Factor Structure
Laurenceau, Jean-Philippe; Kleinman, Brighid M.; Kaczynski, Karen J.; Carver, Charles S. – Psychological Assessment, 2010
Self-report scales assessing relationship-specific incentive and threat sensitivity were created. Initial tests of factor structure and associations with relationship quality were conducted in a sample of persons in intimate relationships (Study 1). Associations with conceptually related measures were examined to determine convergent and…
Descriptors: Spouses, Validity, Factor Structure, Intimacy
Armey, Michael F.; Fresco, David M.; Moore, Michael T.; Mennin, Douglas S.; Turk, Cynthia L.; Heimberg, Richard G.; Kecmanovic, Jelena; Alloy, Lauren B. – Assessment, 2009
Depressive rumination, as assessed by Nolen-Hoeksema's Response Styles Questionnaire (RSQ), predicts the onset, chronicity, and duration of depressed mood. However, some RSQ items contain depressive content and result in a heterogeneous factor structure. After the a priori elimination of items potentially confounded with depressed item content,…
Descriptors: Structural Equation Models, Factor Structure, Factor Analysis, Depression (Psychology)
French, Brian F.; Finch, W. Holmes – Structural Equation Modeling: A Multidisciplinary Journal, 2008
Multigroup confirmatory factor analysis (MCFA) is a popular method for the examination of measurement invariance and specifically, factor invariance. Recent research has begun to focus on using MCFA to detect invariance for test items. MCFA requires certain parameters (e.g., factor loadings) to be constrained for model identification, which are…
Descriptors: Test Items, Simulation, Factor Structure, Factor Analysis
Miller, Joseph C.; Meier, Ellen; Muehlenkamp, Jennifer; Weatherly, Jeffrey N. – Behavior Modification, 2009
The Gambling Functional Assessment (GFA; Dixon & Johnson, 2007) is a 20-item self-report inventory identifying four potential consequences maintaining gambling behavior. Exploratory and confirmatory factor analyses are performed for two large, nonclinical samples of university undergraduates. For the exploratory analysis, the optimal model…
Descriptors: Structural Equation Models, Construct Validity, Factor Structure, Functional Behavioral Assessment
Townsend, Lisa; Floersch, Jerry; Findling, Robert L. – Journal of Child Psychology and Psychiatry, 2009
Background: Despite the effectiveness of psychotropic treatment for alleviating symptoms of psychiatric disorders, youth adherence to psychotropic medication regimens is low. Adolescent adherence rates range from 10-80% (Swanson, 2003; Cromer & Tarnowski, 1989; Lloyd et al., 1998; Brown, Borden, and Clingerman, 1985; Sleator, 1985) depending on…
Descriptors: Legal Problems, Substance Abuse, Structural Equation Models, Mental Disorders
Kuntsche, Emmanuel; Kuntsche, Sandra – Journal of Clinical Child and Adolescent Psychology, 2009
A short form of the Drinking Motive Questionnaire Revised (DMQ-R; Cooper, 1994) was developed, using different item selection strategies based on a national representative sample of 5,617 12- to 18-year-old students in Switzerland. To confirm the concurrent validity of the short-form questionnaire, or DMQ-R SF, data from a second national sample…
Descriptors: Structural Equation Models, International Studies, Test Validity, Drinking
Marcoulides, George A.; Emrich, Christin; Marcoulides, Laura D. – Educational and Psychological Measurement, 2008
The Computer Anxiety Scale (CAS) measures the perceptions of individuals with respect to their anxiety toward computers. Although the CAS was developed a number of years ago, research has shown that its factor structure has remained stable. Recent cross-cultural studies using samples of college students from various countries have also shown that…
Descriptors: College Students, Structural Equation Models, Computer Attitudes, Factor Structure

McArdle, J. J.; Cattell, Raymond B. – Multivariate Behavioral Research, 1994
Some problems of multiple-group factor rotation based on the parallel proportional profiles and confactor rotation of R. B. Cattell are described, and several alternative modeling solutions are proposed. Benefits and limitations of the structural-modeling approach to oblique confactor resolution are examined, and opportunities for research are…
Descriptors: Factor Analysis, Factor Structure, Structural Equation Models
de Frias, Cindy M.; Dixon, Roger A. – Psychological Assessment, 2005
Recent research with the Memory Compensation Questionnaire (MCQ) has examined changes, functions, and correlates of compensatory strategy use in older adults. The twofold aim of this study was to test (a) the hypothesized structure of the MCQ and (b) structural equivalence across age, gender, and time. The 7-scale MCQ was designed to measure 5…
Descriptors: Measures (Individuals), Memory, Factor Structure, Structural Equation Models
Song, Min-Young – Language Testing, 2008
This paper concerns the divisibility of comprehension subskills measured in L2 listening and reading tests. Motivated by the administration of the new Web-based English as a Second Language Placement Exam (WB-ESLPE) at UCLA, this study addresses the following research questions: first, to what extent do the WB-ESLPE listening and reading items…
Descriptors: Structural Equation Models, Second Language Learning, Reading Tests, Inferences
Bennett, M. Daniel, Jr.; Miller, David B. – Research on Social Work Practice, 2006
Objective: This article discusses continued development of the Urban Hassles Index (UHI). The stressors identified in the UHI are chronic and differ substantively from the more acute life events indexes typically employed to measure adolescent stress. Method: Exploratory factor analysis was used to identify the underlying factor structure of the…
Descriptors: Structural Equation Models, Factor Structure, Factor Analysis, Social Work
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