Publication Date
| In 2026 | 0 |
| Since 2025 | 29 |
| Since 2022 (last 5 years) | 187 |
| Since 2017 (last 10 years) | 1408 |
| Since 2007 (last 20 years) | 5696 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Researchers | 142 |
| Practitioners | 32 |
| Teachers | 31 |
| Policymakers | 18 |
| Administrators | 13 |
| Counselors | 13 |
| Students | 3 |
| Community | 2 |
| Media Staff | 1 |
| Parents | 1 |
Location
| Turkey | 217 |
| Australia | 193 |
| Canada | 183 |
| Germany | 150 |
| United States | 131 |
| Netherlands | 127 |
| California | 123 |
| Texas | 107 |
| Taiwan | 99 |
| United Kingdom | 99 |
| Israel | 98 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 10 |
| Meets WWC Standards with or without Reservations | 17 |
| Does not meet standards | 15 |
Peer reviewedEshach, Haim; Schwartz, Judah L. – Journal of Science Education and Technology, 2002
Investigates how students interpret and analyze multivariate data organized in tables and the nature of external visual displays that they tend to create and use for this purpose. Reports that: (1) students based their conclusions on only part of the data; (2) students did not use either efficient or sufficient visual representations; and (3)…
Descriptors: Algebra, Data Analysis, Middle Schools, Multivariate Analysis
Peer reviewedMiller, Robert – Bulletin of the Council for Research in Music Education, 1989
Provides a nontechnical explanation of the family of multivariate statistical techniques known as multidimensional scaling (MDS). Explains the purpose of MDS, and the advantages of using these techniques in the study of musical perception. Discusses two approaches to the interpretation of MDS solutions. Lists examples of musical studies using MDS.…
Descriptors: Models, Multidimensional Scaling, Multivariate Analysis, Music
Peer reviewedJoe, George W.; Mendoza, Jorge L. – Journal of Educational Statistics, 1989
A response to comments on internal correlation for statistical analysis, as proposed by the present authors (1989), is provided. Focus is on issues raised by W. W. Rozeboom (1989). Comments by J. H. Schuenemeyer (1989) and R. Bargmann (1989) are briefly considered. (TJH)
Descriptors: Correlation, Factor Analysis, Generalization, Mathematical Models
Peer reviewedBoik, Robert J. – Psychometrika, 1988
Both doubly multivariate and multivariate mixed models of analyzing repeated measures on multivariate responses are reviewed. Given multivariate normality, a condition called multivariate sphericity of the covariance matrix is both necessary and sufficient for the validity of the multivariate mixed model analysis. (SLD)
Descriptors: Analysis of Covariance, Equations (Mathematics), Mathematical Models, Matrices
Large Sample Multivariate Procedures for Comparing and Combining Effect Sizes within a Single Study.
Peer reviewedMarascuilo, Leonard A.; And Others – Journal of Experimental Education, 1988
Large sample multivariate methods for estimating and comparing effect sizes across independent samples within a single study are presented. Procedures for pooling treatment effects are provided to allow determination of overall study effect sizes for treatments with similar effects prior to implementation of meta-analyses. (TJH)
Descriptors: Effect Size, Equations (Mathematics), Estimation (Mathematics), Meta Analysis
Peer reviewedShapira, Zur; Zevulun, Eli – Multivariate Behavioral Research, 1989
Data from four studies were used to analyze the hypothesis that performance evaluation variables can be constructed with a rater's facet and a trait's facet. The regularity of the pattern of intercorrelations across different rater groups was remarkable. The use of facet analysis before confirmatory analysis is discussed. (SLD)
Descriptors: Evaluation Criteria, Evaluation Methods, Job Performance, Multitrait Multimethod Techniques
Peer reviewedTurkheimer, Eric; And Others – Human Development, 1995
Recognizes some of the limitations of the field of behavioral genetics, but argues that the methods employed in multivariate behavior genetics and developmental behavior genetics have become the dominant paradigms in the field. (MDM)
Descriptors: Developmental Psychology, Genetics, Individual Development, Multivariate Analysis
Peer reviewedRosen, Monica – Learning and Instruction, 1995
Gender differences in cognitive abilities were studied in 1,224 13-year olds using a multivariate latent variables approach. No gender differences were found in the structure of cognitive abilities, but mean differences in favor of females were found for general intelligence, with higher means for males on most spatial dimensions. (SLD)
Descriptors: Adolescents, Cognitive Ability, Elementary Education, Females
Peer reviewedWood, Phillip Karl; Games, Paul – Multivariate Behavioral Research, 1990
Conceptual rationales from five research contexts are presented, which all posit unmeasured variables that interact with observed independent variables to produce a complete model of the dependent variable. Strategies for overcoming related difficulties are outlined, including increased longitudinal assessment, oversampling of levels of…
Descriptors: Estimation (Mathematics), Longitudinal Studies, Mathematical Models, Multivariate Analysis
Peer reviewedCohen, Jacob; Nee, John C. M. – Multivariate Behavioral Research, 1990
The analysis of contingency tables via set correlation allows the assessment of subhypotheses involving contrast functions of the categories of the nominal scales. The robustness of such methods with regard to Type I error and statistical power was studied via a Monte Carlo experiment. (TJH)
Descriptors: Computer Simulation, Monte Carlo Methods, Multivariate Analysis, Power (Statistics)
Peer reviewedHuberty, Carl J. – Educational and Psychological Measurement, 1994
Purposes of multivariate analyses are discussed, focusing on the primary purposes of prediction and structure identification and the secondary purpose of response variable ordering. The sound initial choice of response variables and the advisability of simpler analyses when feasible are discussed. (SLD)
Descriptors: Evaluation Methods, Evaluation Utilization, Measurement Techniques, Multivariate Analysis
Peer reviewedPugh, Richard C.; Hu, Yuehluen – Journal of Educational Research, 1991
Reviews the use and interpretation of canonical correlation analysis in 1978-89 "Journal of Educational Research" articles. Wide variation in the use of terminology was found across 10 articles reporting 11 studies. Because supplementary analyses are now available, researchers are encouraged to use the model more fully when interpreting…
Descriptors: Educational Research, Literature Reviews, Multivariate Analysis, Research Methodology
Peer reviewedKaplan, David; Wenger, R. Neill – Multivariate Behavioral Research, 1993
This article presents a didactic discussion on the role of asymptotically independent test statistics and separable hypotheses as they pertain to issues of specification error, power, and model misspecification in the covariance structure modeling framework. A small population study supports the major findings. (SLD)
Descriptors: Equations (Mathematics), Estimation (Mathematics), Hypothesis Testing, Models
Peer reviewedHeadrick, Todd C.; Sawilosky, Shlomo S. – Psychometrika, 1999
Proposes a procedure for generating multivariate nonnormal distributions. The procedure, an extension of the Fleishman power method (A. Fleishman, 1978), generates the average value of intercorrelations much closer to population parameters than competing procedures for skewed and heavy tailed distributions and small sample sizes. Reports Monte…
Descriptors: Correlation, Equations (Mathematics), Monte Carlo Methods, Multivariate Analysis
Peer reviewedSimonsen, Gregory; Blazina, Chris; Watkins, C. Edward, Jr. – Journal of Counseling Psychology, 2000
Examines the relation of gender role conflict to certain aspects of gay men's psychological experience. Gay men with less gender role conflict had a more positive view of seeking psychological help and reported fewer symptoms of anger, anxiety, and depression. (Author/JDM)
Descriptors: Help Seeking, Homosexuality, Multivariate Analysis, Psychological Needs


