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Pituch, Keenan A.; Whittaker, Tiffany A.; Chang, Wanchen – American Journal of Evaluation, 2016
Use of multivariate analysis (e.g., multivariate analysis of variance) is common when normally distributed outcomes are collected in intervention research. However, when mixed responses--a set of normal and binary outcomes--are collected, standard multivariate analyses are no longer suitable. While mixed responses are often obtained in…
Descriptors: Intervention, Multivariate Analysis, Mixed Methods Research, Models
Page, Stewart; Cramer, Kenneth M.; Page, Laura – Interchange: A Quarterly Review of Education, 2010
We present a data-based perspective concerning recent (e.g., 2008) "Maclean's" magazine rankings of Canadian universities, including cluster analysis of the 2008 data. Canadian universities empirically resemble and relate to each other in a manner different from their formal classification and final rank ordering in the…
Descriptors: Higher Education, Universities, Multivariate Analysis, Foreign Countries
Lopes, J. Bernardino; Silva, Antonio Alberto; Cravino, Jose P.; Costa, Nilza; Marques, Luis; Campos, Carlos – Journal of Research in Science Teaching, 2008
This study is a meta-interpretative analysis that focuses on research conducted and published by other researchers. Concepts central to this study include global practical relevance, curriculum design, and formative situation. We analyzed 35 studies selected from 374 published studies in the years 2000 and 2001 in three journals referenced in the…
Descriptors: Science Education, Meta Analysis, Data Interpretation, Teacher Education Programs

Marcoulides, George A.; Drezner, Zvi – Educational and Psychological Measurement, 1993
A procedure is presented to transform an n-dimensional scatter diagram into a two-dimensional scatter diagram while preserving proximity relationships between points. This procedure can help in the presentation and interpretation of multivariate results. (Author/SLD)
Descriptors: Correlation, Data Analysis, Data Interpretation, Multivariate Analysis
Barcikowski, Robert; Robey, Randall R. – 1990
Use of "special" orthonormal mean contrasts and mean contrast variances can help educational researchers interpret a wide variety of repeated measures data. Most statistical packages allow educational researchers to test for differences across repeated measures using both the univariate mixed model F test and a multivariate test.…
Descriptors: Computer Software, Data Interpretation, Educational Research, Equations (Mathematics)

ter Braak, Cajo J. F. – Psychometrika, 1990
Canonical weights and structure correlations are used to construct low dimensional views of the relationships between two sets of variables. These views, in the form of biplots, display familiar statistics: correlations between pairs of variables, and regression coefficients. (SLD)
Descriptors: Correlation, Data Interpretation, Equations (Mathematics), Factor Analysis
Kuh, George D.; Umbach, Paul D. – New Directions for Institutional Research, 2004
The authors examine the college conditions that contribute to character development, using data from the National Survey of Student Engagement (NSSE). (Contains 4 tables and 5 figures.)
Descriptors: Personality, College Students, National Surveys, Data Interpretation