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 |
The Invalidity of Partitioned-U Tests in Canonical Correlation and Multivariate Analysis of Variance
Peer reviewedHarris, Richard J. – Multivariate Behavioral Research, 1976
The partitioned-U procedure is outlined, a fundamental logical flaw in this procedure's avoidance of any direct test of the significance of the first discriminant function or largest coefficient of canonical correlation is pointed out, and two alternatives to the partitioned-U procedure are discussed. (Author/DEP)
Descriptors: Analysis of Variance, Correlation, Hypothesis Testing, Multivariate Analysis
Peer reviewedClemente, Frank; Kleiman, Michael B. – Social Forces, 1977
Multivariate Nominal Scale Analysis (MNA) was used to assess the independent ability of each variable to predict respondents who indicated a fear of crime (42 percent) and those who did not (58 percent). (Author/AM)
Descriptors: Age, Community Size, Crime, Multivariate Analysis
Evans, Gerald E.; Newman, William A. – Collegiate Microcomputer, 1988
Comparison of three microcomputer statistical packages, SPSS, SAS, and BMDP, focuses on ease of use, ease of learning, documentation, accuracy, similarity to the mainframe version, and speed. The results of eight statistical multivariate analyses used to evaluate their performance are given. (LRW)
Descriptors: Comparative Analysis, Computer Graphics, Computer Software, Microcomputers
Peer reviewedMarascuilo, Leonard A.; Busk, Patricia L. – Journal of Counseling Psychology, 1987
Describes the loglinear model, and applies it to categorical data cross-tabulated on four dimensions. Defines contrasts similar to those of the analysis of variance and describes post hoc and planned comparison strategies. Illustrates hypothesis testing and model building for categorical data, providing guidelines for performing an analysis on…
Descriptors: Behavioral Science Research, Counseling, Hypothesis Testing, Models
Peer reviewedPoon, Wai-Yin; Lee, Sik-Yum – Psychometrika, 1987
Reparameterization is used to find the maximum likelihood estimates of parameters in a multivariate model having some component variable observable only in polychotomous form. Maximum likelihood estimates are found by a Fletcher Powell algorithm. In addition, the partition maximum likelihood method is proposed and illustrated. (Author/GDC)
Descriptors: Correlation, Estimation (Mathematics), Latent Trait Theory, Mathematical Models
Peer reviewedRussell, Ruth V. – Journal of Leisure Research, 1987
The purpose of the study was to distinguish the relative roles of recreation activity participation and recreation satisfaction in life satisfaction of retirees using canonical correlation analysis. Other variables compared were gender, age, marital status, annual income, self-rated health, religiosity, retirement choice, and mobility. Results are…
Descriptors: Individual Characteristics, Life Satisfaction, Multivariate Analysis, Older Adults
Peer reviewedConrad, Clifton F.; Blackburn, Robert T. – American Educational Research Journal, 1985
This article isolates correlates of departmental quality at the graduate level in colleges. Departmental quality is found to be correlated with individual and combined measures of faculty, students, program, and facilities. Findings suggest that factors associated with graduate departmental quality are more multidimensional in regional colleges…
Descriptors: Colleges, Departments, Educational Quality, Graduate Study
Peer reviewedTowstopiat, Olga – Contemporary Educational Psychology, 1984
The present article reviews the procedures that have been developed for measuring the reliability of human observers' judgments when making direct observations of behavior. These include the percentage of agreement, Cohen's Kappa, phi, and univariate and multivariate agreement measures that are based on quasi-equiprobability and quasi-independence…
Descriptors: Interrater Reliability, Mathematical Models, Multivariate Analysis, Observation
Peer reviewedPerry, Raymond P.; And Others – Journal of Educational Psychology, 1986
This study examined whether the density of noncontingent outcomes limits instructor expressiveness as an effective teaching behavior in different lecture content conditions. Results indicated that for high-content lectures, instructor expressiveness facilitated achievement and confidence in students who received contingent and low noncontingent…
Descriptors: Analysis of Variance, Feedback, Higher Education, Lecture Method
Peer reviewedHarrop, John W.; Velicer, Wayne F. – Multivariate Behavioral Research, 1985
Computer generated data representative of 16 Auto Regressive Integrated Moving Averages (ARIMA) models were used to compare the results of interrupted time-series analysis using: (1) the known model identification, (2) an assumed (l,0,0) model, and (3) an assumed (3,0,0) model as an approximation to the General Transformation approach. (Author/BW)
Descriptors: Computer Simulation, Data Analysis, Mathematical Models, Matrices
Peer reviewedThomas, D. Roland – Psychometrika, 1983
Repeated measures designs have traditionally been analyzed by the univariate mixed model approach, in which the repeated measures effect is tested against an error term based on the subject by treatment interaction. This paper considers an extension of this analysis to designs in which the individual repeated measures are multivariate. (Author/JKS)
Descriptors: Analysis of Variance, Data Analysis, Hypothesis Testing, Multivariate Analysis
Peer reviewedGraham, John W.; And Others – Evaluation Review, 1984
A method is presented that allows multivariate comparability while making only minimal restrictions on randomization. This procedure is demonstrated in the context of assigning 63 aggregated units (schools) to 28 experimental and control conditions. Good comparability of groups for all primary main effects and interactions was verified for 15…
Descriptors: Drug Abuse, Evaluation Methods, Factor Analysis, Multivariate Analysis
Nokelainen, Petri; Ruohotie, Pekka – 2000
This examination of data selection preceding multivariate analysis compares results grained with "gentle" and "draconian" variable elimination. To acquire comparable results, two stages of statistical exploration into an integrated model of motivation, learning strategies, and quality of teaching were used. The goal of the…
Descriptors: Bayesian Statistics, Data Collection, Employees, Foreign Countries
Strand, Kenneth H. – Online Submission, 2000
This paper contains information concerning the following: 1. An overview of multivariate analysis of variance, and discriminant (DA) and canonical (CA) analyses. 2. An introduction to specification and measurement errors, and collinearity. 3. The sparsity of information concerning specification and measurement errors and collinearity as they…
Descriptors: Multivariate Analysis, Multiple Regression Analysis, Discriminant Analysis, Error of Measurement
Peer reviewedWiersma, William; Hall, Charles – Educational and Psychological Measurement, 1973
In the geometrical construct of the MANOVA, the dimensions of interest are primarily those of the significant canonical variates, rather than either those of the original n variables or even the total possible canonical variates. (Authors)
Descriptors: Analysis of Variance, Geometric Concepts, Mathematical Models, Measurement Techniques


