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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
Huang, Lihong – Learning and Individual Differences, 2009
This paper investigates student social capital in Norwegian secondary schools and its effects on student achievement. Using data from the national survey "Young in Norway 2002", it explores the concept and measurement of social capital in the school context by applying factor analysis. The paper also tests an analytical model that links…
Descriptors: Secondary Schools, Academic Achievement, School Size, Factor Analysis
Chan, David W. – Educational Psychology, 2009
This study investigated three orientations to happiness and their relationships with subjective well-being in a sample of 228 Chinese prospective and in-service teachers in Hong Kong. Confirmatory item factor analyses supported a three-dimensional model that included constructs represented by a life of meaning, a life of pleasure, and a life of…
Descriptors: Life Satisfaction, Teacher Burnout, Well Being, Foreign Countries
Zullig, Keith J.; Huebner, E. Scott; Patton, Jon M.; Murray, Karen A. – American Journal of Health Behavior, 2009
Objectives: To investigate the psychometric properties of the BMSLSS-College among 723 college students. Methods: Internal consistency estimates explored scale reliability, factor analysis explored construct validity, and known-groups validity was assessed using the National College Youth Risk Behavior Survey and Harvard School of Public Health…
Descriptors: Life Satisfaction, Public Health, Quality of Life, Construct Validity
Kim, Jungmeen; Cicchetti, Dante – International Journal of Behavioral Development, 2009
This study investigated mean-level changes and intraindividual variability of self-esteem among maltreated (N = 142) and nonmaltreated (N = 109) school-aged children from low-income families. Longitudinal factor analysis revealed higher temporal stability of self-esteem among maltreated children compared to nonmaltreated children. Cross-domain…
Descriptors: Child Abuse, Factor Analysis, Depression (Psychology), Low Income Groups
Cerna, Oscar S.; Perez, Patricia A.; Saenz, Victor – Journal of Hispanic Higher Education, 2009
This article focuses on understanding successful Latina/o college student retention at 4-year institutions. Deficit models fail to consider how Latina/o students use different forms of capital (i.e., social, cultural, economic, and human) in earning a degree. Using data from the UCLA's Cooperative Institutional Research Program, factors associated…
Descriptors: Institutional Research, Hispanic American Students, School Holding Power, College Students
Li, Kaigang; Kay, Noy S.; Nokkaew, Nattiporn – Social Indicators Research, 2009
The purpose of this study was to examine the performance of the Thai-version of WHOQOL-BREF in assessing the quality of life (QoL) among Thai college students. The psychometric properties of WHOQOL-BREF were assessed in this study. The self-administered WHOQOL-BREF questionnaire was applied. A total of 407 Thai college students (male age = 20.5…
Descriptors: College Students, Quality of Life, Construct Validity, Factor Structure
Chen, Chih-Ming; Chen, Ming-Chuan – Computers & Education, 2009
Current trends clearly indicate that online learning has become an important learning mode. However, no effective assessment mechanism for learning performance yet exists for e-learning systems. Learning performance assessment aims to evaluate what learners learned during the learning process. Traditional summative evaluation only considers final…
Descriptors: Feedback (Response), Summative Evaluation, Student Evaluation, Formative Evaluation
Peer reviewedVelicer, Wayne F. – Educational and Psychological Measurement, 1974
Descriptors: Comparative Analysis, Factor Analysis
Peer reviewedWalsh, James A.; Walsh, Roberta – Educational and Psychological Measurement, 1976
This Fortran IV revision of an earlier three-mode factor analysis program uses a main program-subprogram structure and core storage and is written in a sufficiently general form as to be easily convertable to most machines having a Fortran IV compiler. (RC)
Descriptors: Computer Programs, Factor Analysis
Peer reviewedGorman, Bernard S. – Educational and Psychological Measurement, 1976
A principal components analysis of matrices of Spearman's rho statistic for inter-rater reliability is proposed as an alternative to Kendall's coefficient of concordance. Advantages and possible uses of the proposed method are presented. (JKS)
Descriptors: Factor Analysis, Matrices, Reliability
Peer reviewedMyers, Donald E. – Educational and Psychological Measurement, 1976
A Fortran IV program which computes either of the coefficients of congruence (psi or phi) used in comparison of factors in factor analysis is presented. Output consists of a non-symmetric matrix of factor coefficients. Listings of the program, results and test data are available. (Author/JKS)
Descriptors: Computer Programs, Factor Analysis
Peer reviewedVelicer, Wayne F. – Psychometrika, 1976
A method is presented for determining the number of components to retain in a principal components or image components analysis which utilizes a matrix of partial correlations. Advantages and uses of the method are discussed and a comparison of the proposed method with existing methods is presented. (JKS)
Descriptors: Correlation, Factor Analysis, Matrices
Thompson, Bruce; Vidal-Brown, Sherry A. – 2001
Analysts differ quite heatedly over the use of principal components rather than principle axis factor analysis. The difference between the two approaches involves the entries used on the diagonal of the matrix of associations that is analyzed. This paper uses an actual data set (N=539; variables =98) to illustrate that these two methods converge…
Descriptors: Factor Analysis, Factor Structure
Knight, Jennifer L. – 2000
This paper considers some decisions that must be made by the researcher conducting an exploratory factor analysis. The primary purpose is to aid the researcher in making informed decisions during the factor analysis instead of relying on defaults in statistical programs or traditions of previous researchers. Three decision areas are addressed.…
Descriptors: Factor Analysis, Factor Structure

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