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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
Dybwad, Tom-Erik – Scandinavian Journal of Educational Research, 2008
A confirmatory factor analysis was conducted to examine the structural validity of Daidalos, a 20-item inventory designed to assess the factors that might inhibit or promote successful career decision making, or career maturity. The sample consisted of 776 high school students; 367 were male and 409 were female. Participants ranged in age from 16…
Descriptors: Vocational Maturity, High School Students, Validity, Factor Structure
Shambleau, Krista M. – ProQuest LLC, 2010
Federally funded Healthy Marriage Initiative (HMI) programs provide marriage education as well as other services to low-income diverse individuals and couples at many points along the marital continuum with improving children's well-being as the overarching purpose. These programs need appropriate measures of healthy marriage for couples with…
Descriptors: Marital Status, Interpersonal Relationship, Disadvantaged Youth, Child Rearing
Weigle, David C.; Snow, Alicia – 1995
Various analytic choices in principal components and common factor analysis are discussed. Differences and similarities among these extraction methods are explained, and aids in interpreting the origin of detected effects are explored. Specifically, the nature and use of structure and pattern coefficients are examined. Communalities and methods…
Descriptors: Comparative Analysis, Factor Analysis, Factor Structure, Literature Reviews
Marsh, Herbert A.; And Others – 1995
Whether "more is ever too much" for the number of indicators (p) per factor (p/f) in confirmatory factor analysis (CFA) was studied by varying sample size (N) from 50 to 1,000 and p/f from 2 to 12 items per factor in 30,000 Monte Carlo simulations. For all sample sizes, solution behavior steadily improved (more proper solutions and more…
Descriptors: Estimation (Mathematics), Factor Structure, Monte Carlo Methods, Sample Size
Hester, Yvette – 1996
Data reduction techniques seek to combine variables that account for patterns of variation in observed dependent variables in such a way that a simpler model is available for analysis. Factor analysis is a data reduction technique that attempts to model or explain a set of variables in terms of their associations. To understand why this technique…
Descriptors: Factor Analysis, Factor Structure, Heuristics, Mathematical Models
Roberts, J. Kyle – 1999
Many researchers acknowledge the prominent role that factor analysis can play in efforts to establish construct validity. Data can be analyzed with no preconceived ideas about the underlying constructs of structure of the data. This approach is exploratory factor analysis, Another approach is used when the researcher has an understanding of the…
Descriptors: Computer Software, Construct Validity, Factor Structure, Goodness of Fit
Peer reviewedOverall, John E.; And Others – Multivariate Behavioral Research, 1974
Descriptors: Comparative Analysis, Factor Structure, Oblique Rotation, Personality Measures
Peer reviewedGolding, Stephen L.; Seidman, Edward – Multivariate Behavioral Research, 1974
A relatively simple technique for assessing the convergence of sets of variables across method domains is presented. The technique, two-step principal components analysis, empirically orthogonalizes each method domain into sets of components, and then analyzes convergence among components across domains. (Author)
Descriptors: Comparative Analysis, Correlation, Factor Analysis, Factor Structure
Peer reviewedWright, Logan; Wyant, Kerry – Educational and Psychological Measurement, 1974
Descriptors: College Students, Factor Analysis, Factor Structure, Personality Measures
Peer reviewedPishkin, Vladimir; Thorne, Frederick C. – Journal of Clinical Psychology, 1975
This study investigated the factorial composition of responses to the Life Style Analysis (LSA) in two normal and four clinical groups. (Author)
Descriptors: Data Analysis, Factor Structure, Life Style, Psychological Studies
Panackal, Abraham A.; Sockloff, Alan L. – Measurement and Evaluation in Guidance, 1975
The factor structures of the College Student Questionnaire were investigated for three large samples of freshmen. The results demonstrated the variety of information contained in these instruments and questioned the choice of some items used in the suggested scales. (Author)
Descriptors: Attitudes, College Students, Factor Analysis, Factor Structure
Choca, James; And Others – 1989
The factor analytic studies that have been done with the Millon Clinical Multiaxial Inventory (MCMI), a 175-item paper-and-pencil test designed to evaluate symptomology in psychiatric patients, have been problematic in that the test's high inter-scale correlation could lead to an artificially robust factor structure. The present investigation…
Descriptors: Factor Analysis, Factor Structure, Patients, Personality Assessment
Peer reviewedMayerberg, Cathleen Kubiniec; Bean, Andrew G. – Multivariate Behavioral Research, 1974
Descriptors: Attitude Measures, Attitudes, Factor Structure, Graduate Students
Peer reviewedMukherjee, B. N. – British Journal of Educational Psychology, 1975
A factor analysis of the correlation matrix for the subsets of WPPSI was carried out for each of the age groups between 4 and 6 1/2 years. (Editor)
Descriptors: Correlation, Diagrams, Educational Psychology, Factor Structure

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