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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
Peer reviewedMeyer, Edward P. – Psychometrika, 1973
It is shown that, under very general conditions, uniqueness estimates proposed independently by Guttman (1957) and by Harris (1963) provide tighter upper bounds on the unknown uniqueness values of factor analysis than do existing estimates. (Editor)
Descriptors: Factor Analysis, Models, Psychometrics
Peer reviewedMeyer, Edward P. – Psychometrika, 1973
This paper made an important distinction between determinacy of common-factors and determinacy of unique-factors and examined the implications of two results previously obtained by Guttman. (Author/RK)
Descriptors: Correlation, Factor Analysis, Psychometrics
Peer reviewedHarris, David R.; Woodward, J. Arthur – Journal of Educational and Psychological Measurement, 1974
Descriptors: Computer Programs, Factor Analysis
Peer reviewedKogan, Nathan – British Journal of Psychology, 1971
Descriptors: Creativity Tests, Factor Analysis
Peer reviewedHarker, R. K. – Educational Research, 1971
The differences in concept formation skills between middle and working class children in New Zealand are discussed. (CK)
Descriptors: Factor Analysis, Social Influences

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