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Bodenhorn, Nancy; Miyazaki, Yasuo; Ng, Kok-Mun; Zalaquett, Carlos – Multicultural Learning and Teaching, 2007
International undergraduate students attending U.S. colleges completed a common ?hassles? assessment, the Inventory of College Students? Recent Life Experiences (ICSRLE). Previous structure and validation studies with this measure have been limited to North American students. Using exploratory and confirmatory analyses, a distinct structure of 6…
Descriptors: Student Experience, Undergraduate Students, Foreign Students, Factor Structure
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Bernstein, Amit; Zvolensky, Michael J.; Norton, Peter J.; Schmidt, Norman B.; Taylor, Steven; Forsyth, John P.; Lewis, Sarah F.; Feldner, Matthew T.; Leen-Feldner, Ellen W.; Stewart, Sherry H.; Cox, Brian – Psychological Assessment, 2007
This study represents an effort to better understand the latent structure of anxiety sensitivity (AS), as indexed by the 16-item Anxiety Sensitivity Index (ASI; S. Reiss, R. A. Peterson, M. Gursky, & R. J. McNally, 1986), by using taxometric and factor-analytic approaches in an integrative manner. Taxometric analyses indicated that AS has a…
Descriptors: North Americans, Anxiety, Factor Structure, Measures (Individuals)
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Evenson, Kelly R.; Motl, Robert W.; Birnbaum, Amanda S.; Ward, Dianne S. – American Journal of Health Behavior, 2007
Objectives: To describe the development of an original scale that measures perceived school climate for active travel in fourth- and fifth-grade girls and boys. Methods: The data were analyzed using confirmatory factor analysis (CFA) to provide evidence of factorial validity, factorial invariance, and construct validity. Results: The CFA supported…
Descriptors: Travel, Construct Validity, Factor Structure, Factor Analysis
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Reynolds, Matthew R.; Keith, Timothy Z. – Intelligence, 2007
Spearman's "law of diminishing returns" or SLODR refers to a decrease in "g" saturation as ability level increases. SLODR has been demonstrated in a number of intellectual batteries but several important aspects of the phenomenon are not yet well understood. We investigated the presence of SLODR in the Kaufman Assessment…
Descriptors: Intelligence, Factor Analysis, Ability Grouping, Factor Structure
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Sawaki, Yasuyo; Stricker, Lawrence J.; Oranje, Andreas H. – Language Testing, 2009
This construct validation study investigated the factor structure of the Test of English as a Foreign Language[TM] Internet-based test (TOEFL[R] iBT). An item-level confirmatory factor analysis was conducted for a test form completed by participants in a field study. A higher-order factor model was identified, with a higher-order general factor…
Descriptors: Speech Communication, Construct Validity, Factor Structure, Factor Analysis
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Durand, Ann – Educational and Psychological Measurement, 1974
Descriptors: Computer Programs, Factor Analysis, Factor Structure
Guilford, J. P.; Hoepfner, Ralph – Educ Psychol Meas, 1969
Descriptors: Factor Analysis, Factor Structure, Measurement, Psychometrics
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Ellis, Michael V.; Dell, Don M. – Journal of Counseling Psychology, 1986
Used multidimensional research design to assess the salient dimensions that supervisors rely on in their perceptions of supervisor roles and to test models. Three dimensions emerged based on supervisor roles: supervision environment, supervision function, and characteristics of supervisor roles. The results partially supported a two-dimensional…
Descriptors: Factor Structure, Models, Role Perception, Supervisors
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Shutty, Michael S.; And Others – Journal of Consulting and Clinical Psychology, 1986
Chronic pain outpatients (N=600) randomly split and their symptom Checklist-90 responses were analyzed via a three-step factor analysis. A 10-factor model was judged most meaningful and statistically appropriate in the first-order analysis. The second-order analyses produced three factors. All factors replicated across the data halves, providing…
Descriptors: Factor Structure, Patients, Psychopathology, Test Interpretation
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Leckliter, Ingrid N.; And Others – Journal of Clinical Psychology, 1986
Reviews the factor analytic studies done on the 1981 Wechsler Adult Intelligence Scale-Revised (WAIS-R) standardization sample and various patient samples. Concludes that a three-factor solution appears to provide a source of hypotheses about an individual's or a select sample's unique abilities and weaknesses worthy of further exploration.…
Descriptors: Factor Analysis, Factor Structure, Statistical Studies
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Kaiser, Henry F.; Rice, John – Journal of Educational and Psychological Measurement, 1974
In this paper three changes and one new development for the method of exploratory factor analysis (a second generation Little Jiffy) developed by Kaiser are described. Following this short description a step-by-step computer algorithm of the revised method, dubbed Little Jiffy, Mark IV is presented. (MP)
Descriptors: Computer Programs, Factor Analysis, Factor Structure
Alluisi, Earl A.; Coates, Glynn D. – Percept Mot Skills, 1969
Descriptors: Experiments, Factor Structure, Memory, Problem Solving
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Platten, Marvin R.; Williams, Larry R. – Educational and Psychological Measurement, 1981
This study largely replicates the findings of a previous study reported by the authors. Further research involving the physical dimension as a possible facet of general self-concept is suggested. (Author/BW)
Descriptors: Factor Structure, Intermediate Grades, Test Validity
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Detterman, Douglas K. – Intelligence, 1982
In an argument for orthogonal variables to explain intelligence, higher-order constructs, including "g" as a single thing in intelligence, are suggested to inevitably result from complex systems with interrelated parts. Biological reductionism and other arguments for the higher-order constructs as explanations of intellectual functioning…
Descriptors: Cognitive Processes, Factor Structure, Intelligence, Psychometrics
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Mulaik, Stanley A.; Quartetti, Douglas A. – Structural Equation Modeling, 1997
The Schmid-Leiman (J. Schmid and J. M. Leiman, 1957) decomposition of a hierarchical factor model converts the model to a constrained case of a bifactor model with orthogonal common factors that is equivalent to the hierarchical model. This article discusses the equivalence of the hierarchical and bifactor models. (Author/SLD)
Descriptors: Factor Analysis, Factor Structure, Mathematical Models
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