Publication Date
| In 2026 | 2 |
| Since 2025 | 241 |
| Since 2022 (last 5 years) | 1573 |
| Since 2017 (last 10 years) | 4628 |
| Since 2007 (last 20 years) | 12045 |
Descriptor
| Factor Analysis | 18010 |
| Foreign Countries | 6668 |
| Correlation | 3907 |
| Measures (Individuals) | 3353 |
| Factor Structure | 3344 |
| Questionnaires | 3236 |
| Statistical Analysis | 3143 |
| Test Validity | 2941 |
| Student Attitudes | 2821 |
| Psychometrics | 2405 |
| Test Reliability | 2301 |
| More ▼ | |
Source
Author
Publication Type
Education Level
Audience
| Researchers | 276 |
| Practitioners | 85 |
| Teachers | 51 |
| Administrators | 40 |
| Policymakers | 22 |
| Counselors | 18 |
| Students | 16 |
| Parents | 3 |
| Community | 1 |
| Support Staff | 1 |
Location
| Turkey | 1093 |
| China | 451 |
| Australia | 423 |
| United States | 300 |
| Taiwan | 287 |
| Canada | 286 |
| Hong Kong | 228 |
| Spain | 226 |
| Germany | 206 |
| South Korea | 203 |
| Netherlands | 198 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 6 |
| Meets WWC Standards with or without Reservations | 7 |
| Does not meet standards | 3 |
Peer reviewedReynolds, Carl H.; Nichols, Robert C. – Educational and Psychological Measurement, 1977
A factor analytic study investigated the validity of the California Psychological Inventory. Sixteen of the eighteen scales were investigated in relation to criterion variables and most showed that the factor scales were valid measures. (JKS)
Descriptors: Factor Analysis, Factor Structure, High School Students, Personality Measures
Peer reviewedJarnecke, Roy W.; Chambers, Eugene D. – Journal of Consulting and Clinical Psychology, 1977
Minnesota Multiphasic Personality Inventory (MMPI) protocols for 242 acute psychiatric inpatients were scored on the 13 content scales. The age, IQ, and education of each subject were also recorded. Content-scale scores were compared with scores from normal groups and were found to be significantly greater. (Author)
Descriptors: Factor Analysis, Personality Measures, Research Projects, Scaling
Peer reviewedGiambra, Leonard M. – International Journal of Aging and Human Development, 1977
Using the Imaginal Processes Inventory, aspects of daydreaming and related mental activity were examined in a replication sample of males aged 17 to 91 years. The characteristics of daydreaming obtained in an original sample were obtained in the replication sample, thus supporting the outcomes reported earlier. (Author)
Descriptors: Age Differences, Cognitive Processes, Factor Analysis, Fantasy
Peer reviewedRubin, Kenneth H.; And Others – Journal of Genetic Psychology, 1978
Examines the relationship between performance on two measures of fluid intelligence, one measure of crystallized intelligence, and three Piagetian measures of intelligence. Subjects were 102 first- and second-grade students. (BD)
Descriptors: Comparative Analysis, Elementary School Students, Factor Analysis, Intelligence
Peer reviewedMallinger, Barry L. – Perceptual and Motor Skills, 1977
Descriptors: Classification, Exceptional Child Research, Factor Analysis, Intelligence Tests
Peer reviewedHooker, Karen; And Others – Developmental Psychology, 1987
Temperament is examined from a longitudinal, within-individual perspective in order to investigate short-term change and patterns of temperament changes. For 100 consectutive days five mothers completed a temperament survey, reporting on their own and their two-year-old children's behavior. Patterns of change were identified for both mothers and…
Descriptors: Behavior Change, Behavior Patterns, Factor Analysis, Longitudinal Studies
Peer reviewedStayer, Faith M.; Dillard, Jerry W. – Psychology: A Quarterly Journal of Human Behavior, 1986
Identifies factors worth considering when selecting a particular consultation approach. Analyzes various factors which related to consultation styles and philosophies. Factor analysis indicated two specific categories: directive and nondirective. Discusses variance and factors which affect the choice of consultation styles, regarding Process…
Descriptors: Consultants, Counseling Techniques, Counselor Client Relationship, Counselor Role
Peer reviewedComrey, Andrew L.; And Others – Multivariate Behavioral Research, 1988
Three methods were used to test the factor structure of the Eysenck Personality Inventory administered to 583 Australians. The preferred method was to extract factors by the minimum residual method, use the Tandem Criteria Method, and then rotate that number of factors by the Tandem Criteria I method. (SLD)
Descriptors: Adults, Factor Analysis, Factor Structure, Foreign Countries
Peer reviewedStrommen, Erik – Journal of School Psychology, 1988
Performed confirmatory factor analyses of Kaufman Assessment Battery for Children (K-ABC) using subtest correlations for standardization samples provided in manuals to test hypothesis that factors underlying K-ABC are substantially intercorrelated at all age levels for two- and three-factor models. Findings suggest K-ABC cannot distinguish between…
Descriptors: Children, Cognitive Ability, Cognitive Development, Cognitive Measurement
Peer reviewedMiller, Lovick C.; Roid, Gale H. – Journal of Consulting and Clinical Psychology, 1988
Reports on a factor analysis and scale revision completed 20 years after the development of the Louisville Behavior Checklist, an inventory for parents to rate children's behavior, using a larger clinical sample of children from more diverse population, and using improved factor-analytic techniques. Cross-validated five of the original factors,…
Descriptors: Behavior Disorders, Behavior Rating Scales, Children, Factor Analysis
Peer reviewedAvery, Lillian Markos – Journal of Vocational Behavior, 1986
Describes the interest and concern of the membership of the Personnel Testing Council of Southern California in what may be the most critical issue in personnel testing today--the implications of using or not using g-loaded tests. Describes the events that led to the scheduling of a major conference on the g factor. Also describes audience…
Descriptors: Ability, Factor Analysis, Intelligence, Occupational Tests
Peer reviewedGottfredson, Linda S. – Journal of Vocational Behavior, 1986
Reviews and rebuts seven common arguments that intelligence (g) is of little or no practical importance in employment. Illustrates in several ways the profound effect that differences in intelligence in a work force may have on the structure and functioning of whole societies. (Author/ABB)
Descriptors: Employment Potential, Factor Analysis, Individual Differences, Intelligence
Peer reviewedTryon, Georgiana Shick – Measurement and Evaluation in Counseling and Development, 1987
Counselor Rating Form - Short Version (CRF-S) was completed by college students (N=133) who rated their counselors (N=6) after an initial session at a college counseling center. Principal components analysis with direct oblimin rotation of the CRF-S yielded two factors, one composed of attractiveness and trustworthiness items and the other…
Descriptors: College Students, Counselor Characteristics, Counselor Qualifications, Credibility
Peer reviewedStricker, Lawrence J.; Rock, Donald A. – Developmental Psychology, 1987
Evaluated the extent to which the Graduate Record Examinations General Test measures the same constructs for older test takers that it does for younger examinees. Results suggest that the convergent validity of the test is similar across the age groups, but discriminant validity is somewhat different for older examinees. (Author/RWB)
Descriptors: Adults, Age Differences, Comparative Testing, Factor Analysis
Peer reviewedNagoshi, Craig T.; And Others – Intelligence, 1987
Fifteen cognitive abilities tests of the Hawaii Family Study of Cognition were factor analyzed concerning between-family means and within-family differences, using 370 sibling pairs of Americans of European ancestry and 116 sibling pairs of Japanese ancestry. The similarity of between-family and within-family structures suggests that the genetic…
Descriptors: Cognitive Ability, Cognitive Tests, Factor Analysis, Family Characteristics


