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Peer reviewedNowicki, Stephen – Journal of Genetic Psychology, 1976
The present study attempted to identify the factor structure of the Children's Nowicki-Strickland Internal-External Control Scale by factor-analysis of the responses of 388 junior high, 389 high school and 449 elementary school students. (MS)
Descriptors: Elementary School Students, Elementary Secondary Education, Factor Analysis, High School Students
Peer reviewedWen, Xiaohong – Foreign Language Annals, 1997
Investigates the motivational factors of students of Asian and Asian-American backgrounds learning Chinese at the university level in the United States. Results indicate that intrinsic interest in Chinese culture and the desire to understand one's own cultural heritage are the initial motivation for students to learn the language and that…
Descriptors: Academic Achievement, Asian Americans, Chinese, College Students
Peer reviewedWentworth, Nancy M.; Connell, Michael L. – Computers in the Schools, 1995
Explores parent perceptions of education, mathematics education, teachers' roles in education, and computers in education. The use of interviews and a survey is explained; results of a factor analysis are discussed, including responsibility and problem-solving factors; and implications for educational policy are suggested. (LRW)
Descriptors: Computer Uses in Education, Educational Policy, Factor Analysis, Interviews
Peer reviewedSpearritt, Donald – International Journal of Educational Research, 1996
The model of cognitive ability proposed by John B. Carroll is described and its implications for education traced. The Carroll model is unique in that it is based on datasets reanalyzed by standard procedures. The variables and factors established through factoring were used to construct the three-stratum Carroll model. (SLD)
Descriptors: Academic Achievement, Cognitive Ability, Educational Assessment, Educational Research
Peer reviewedChang, Chih-Hung – Structural Equation Modeling, 1996
The underlying structure of the Depression scale of the revised Minnesota Multiphasic Personality Inventory (MMPI-2) was studied using dichotomous Rasch model and factor analysis with the normative sample of 2,600 subjects. Results reveal two distinct subscales (mental depression and physical depression) in place of a homogenous set of items. (SLD)
Descriptors: Depression (Psychology), Emotional Problems, Factor Analysis, Factor Structure
Peer reviewedLemery, Kathryn S.; Essex, Marilyn J.; Smider, Nancy A. – Child Development, 2002
This study examined whether item overlap, or measurement confounding, accounts for the correlation between temperament and behavior problem symptoms in children. Experts rated items on Children's Behavior Questionnaire and Preschool Behavior Questionnaire for their fit to both constructs, and then these items were factor analyzed with longitudinal…
Descriptors: Behavior Development, Behavior Problems, Children, Error of Measurement
Peer reviewedMok, Magdalena Mo Ching; Flynn, Marcellin – Journal of Applied Measurement, 2002
Established the longitudinal factorial construct validity of the Quality of Life Scale designed originally to measure the well-being of students in Australian high schools. Results for 5,932 secondary students (1993) and 8,269 students (1999) support the factorial construct validity of the measure. (SLD)
Descriptors: Construct Validity, Educational Environment, Educational Quality, Factor Analysis
Peer reviewedCobb, Nathan P.; Larson, Jeffry H.; Watson, Wendy L. – Family Relations, 2003
The 32-item Attitudes about Romance and Mate Selection Scale (ARMSS) was developed to measure constraining beliefs about mate selection. Results of factor analysis showed few gender differences in the degree to which constraining beliefs about mate selection are held by single young adults. However, significant differences were found when age,…
Descriptors: Age Differences, Attitudes, Ethnicity, Factor Analysis
Peer reviewedWiseman, Michael; Bogner, Franz X. – Scandinavian Journal of Educational Research, 1997
The perceptions of students toward conservation and nature utilization and their behavior toward the environment were studied with 725 Danish adolescents and a previously studied group of Bavarian adolescents. Following construct validation, comparison of mean within-region factor values reveals substantial differences between countries. (SLD)
Descriptors: Adolescents, Behavior Patterns, Child Development, Comparative Analysis
Peer reviewedHernandez, Donald J. – Child Development, 1997
Provides background information and a practical guide for including demographic information in developmental research. Describes historic demographic trends reflecting ways family and economic environments have been and continue to be transformed; presents demographic statistics to provide basis for comparison of research populations; and offers…
Descriptors: Child Development, Comparative Analysis, Data Collection, Demography
Peer reviewedJohannessen, Tor Aase; And Others – Scandinavian Journal of Educational Research, 1997
What students emphasize in their evaluations of teachers was studied with 465 high school students in Norway. Factor analysis revealed that affective and emotional aspects related to classroom learning situations play a major role, as do student feelings of security and acceptance. (SLD)
Descriptors: Affective Behavior, Emotional Response, Factor Analysis, Foreign Countries
Peer reviewedGomez-Benito, J.; Forns-Santacana, M. – Psychology in the Schools, 1996
Examines the construct validity of a scale for 7-year-old children and analyzes the degree of factorial similarity between this analysis and another study performed on 4-year-old children. Results indicate that the cognitive abilities measured by the scale become more general with age and the level of schooling. (RJM)
Descriptors: Children, Construct Validity, Elementary School Students, Factor Analysis
Peer reviewedChao, Hungyune – Library & Information Science Research, 2002
This study develops and tests an instrument useful for evaluating the quality of academic library Web sites. Discusses criteria for print materials and human-computer interfaces; user-based perspectives; the use of factor analysis; a survey of library experts; testing reliability through analysis of variance; and regression models. (Contains 53…
Descriptors: Academic Libraries, Analysis of Variance, Computer Interfaces, Evaluation Criteria
Peer reviewedPhillips, Linda L.; Lyons, William – College and Research Libraries, 1990
Illustrates the use of factor analysis in interpreting large sets of data. Describes how factor analysis of a 19-question survey revealed faculty opinions about library policies for (1) computerized access; (2) circulation; (3) specialized collections/services; and (4) the general collection. A characterization of each category is followed by…
Descriptors: Academic Libraries, Administrative Policy, Data Analysis, Data Interpretation
Peer reviewedAbrami, Philip C. – Research in Higher Education, 1989
Two divergent views are contrasted: the multidimensional and the unidimensional views of faculty evaluation. The views of H. W. Marsh, the most outspoken advocate of the multidimensional view of evaluation based on factor scores, is summarized and a response to his concerns is presented. (Author/MLW)
Descriptors: College Faculty, Decision Making, Educational Research, Factor Analysis


