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Worrell, Frank C.; Watson, Stevie – Educational and Psychological Measurement, 2008
In this study, the authors tested the viability of the expanded nigrescence (NT-E) model as operationalized by Cross Racial Identity Scale (CRIS) scores using confirmatory factor analyses. Participants were 594 Black college students from the Southeastern United States. Results indicated a good fit for NT-E's proposed six-factor structure.…
Descriptors: African American Students, College Students, Factor Structure, Racial Identification
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Van Roy, Betty; Veenstra, Marijke; Clench-Aas, Jocelyne – Journal of Child Psychology and Psychiatry, 2008
Background: The Strengths and Difficulties Questionnaire (SDQ) is designed to measure psychological adjustment in children and adolescents. Psychometric evaluations of the instrument have shown satisfactory convergent and discriminant validity, while factor analysis studies have shown mixed results across countries. In the present study, the…
Descriptors: Hyperactivity, Construct Validity, Validity, Factor Structure
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Drieschner, Klaus H.; Boomsma, Anne – Assessment, 2008
The Treatment Motivation Scales for forensic outpatient treatment (TMS-F) is a Dutch 85-item self-report questionnaire for the motivation of forensic outpatients to engage in their treatment and six cognitive and affective determinants of this motivation. Following descriptions of the conceptual basis and construction, the psychometric properties…
Descriptors: Persuasive Discourse, Factor Structure, Motivation, Factor Analysis
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Beck, Niels C.; And Others – Journal of Consulting and Clinical Psychology, 1985
Examined the factor structure of the Wechsler Adult Intelligence Scale-Revised (WAIS-R) in a sample of 200 medical patients and 271 psychiatric patients. Results indicate the WAIS-R has a robust factor structure and provide evidence of Verbal, Performance, and Freedom From Distractability factors in psychiatric and medical populations. (Author/BH)
Descriptors: Factor Structure, Generalizability Theory, Patients
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Tanaka, J. S.; Huba, G. J. – Journal of Consulting and Clinical Psychology, 1984
Discusses a Viet and Ware (1983) article which presented evidence from which they concluded that a strong, hierarchical factor of mental health underlay factors of psychological distress and psychological well-being. Reexamines the data using confirmatory factor analytic methods to assess the plausibility of their central model. (JAC)
Descriptors: Data Analysis, Factor Structure, Psychopathology
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Williams, J. Michael; Shane, Barbara – Journal of Clinical Psychology, 1986
Presents a scoring system and factor analysis for the Reitan-Indiana Aphasia Screening Test. Eight content categories were clinically identified and scored. The interrelationships of these content areas were explored by factor analysis. The analysis revealed two major factors, a general language abilities factor and a sensorimotor coordination…
Descriptors: Factor Analysis, Factor Structure, Scoring
Tanguma, Jesus – 2000
This paper presents four methods for determining the number of factors to retain: (1) determining an eigenvalue greater than unity (K1); (2) the scree test; (3) the minimum average parallel approach; and (4) parallel analysis. Three of the four methods are illustrated through an example. Although the eigenvalue greater than unity and the scree…
Descriptors: Factor Analysis, Factor Structure, Selection
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Rensvold, Rover B.; Cheung, Gordon W. – Educational and Psychological Measurement, 1998
Summarizes the problem of factorial invariance in between-group difference studies, proposes a simplified notation intended to facilitate discussion of the problem, and suggests a structured approach for testing large models. Two computer programs are offered to help with the computation. (SLD)
Descriptors: Computer Software, Factor Structure, Models
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Krijnen, Wim P.; Dijkstra, Theo K.; Gill, Richard D. – Psychometrika, 1998
Gives sufficient and necessary conditions for the observability of factors in terms of the parameter matrices and a finite number of variables. Outlines five conditions that rigorously define indeterminacy and shows that (un)observable factors are (in)determinate, and extends L. Guttman's (1955) proof of indeterminacy to Heywood (H. Heywood, 1931)…
Descriptors: Factor Analysis, Factor Structure, Matrices
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ten Berge, Jos M. F.; Hofstee, Willem K. B. – Psychometrika, 1999
H. Kaiser (1992) has shown that the sum of coefficients alpha of a set of principal components does not change when the components are transformed by an orthogonal rotation. In this paper, the rotational invariance and the successive alpha-optimality are integrated and generalized in a simultaneous approach. (SLD)
Descriptors: Factor Structure, Orthogonal Rotation, Reliability
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Kiers, Henk A. L. – Psychometrika, 1997
Provides a fully flexible approach for orthomax rotation of the core to simple structure with respect to three modes simultaneously. Computationally the approach relies on repeated orthomax rotation applied to supermatrices containing the frontal, lateral, or horizontal slabs, respectively. Exemplary analyses illustrate the procedure. (Author/SLD)
Descriptors: Factor Analysis, Factor Structure, Matrices
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Schneeweiss, Hans – Multivariate Behavioral Research, 1997
A sufficient condition in terms of the unique variances of a common factor model is given for the results of factor analysis to come closer to those of principal components analysis. In general, vectors corresponding to loading matrices can be related to each other by a specific measure of closeness, which is illustrated. (SLD)
Descriptors: Factor Analysis, Factor Structure, Matrices
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Jennrich, Robert I. – Psychometrika, 2001
Identifies a general algorithm for orthogonal rotation and shows that when an algorithm parameter alpha is sufficiently large, the algorithm converges monotonically to a stationary point of the rotation criterion from any starting value. Introduces a modification that does not require a large alpha and discusses the use of this modification as a…
Descriptors: Algorithms, Factor Structure, Orthogonal Rotation
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Lester, David – Death Studies, 2004
In a study of 144 college students, the factorial structure of the Collett?Lester Fear of Death Scale matched the face content of the subscales quite closely, ameliorating the criticism of the scale by R. A. Neimeyer et al. (2003).
Descriptors: Measures (Individuals), Fear, Factor Structure
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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
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