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Huang, Francis L. – Gifted Child Quarterly, 2020
Multivariate analysis of variance (MANOVA) is a statistical procedure commonly used in fields such as education and psychology. However, MANOVA's popularity may actually be for the wrong reasons. The large majority of published research using MANOVA focus on univariate research questions rather than on the multivariate questions that MANOVA is…
Descriptors: Multivariate Analysis, Research Methodology, Research Problems, Statistical Analysis
Lin, Lifeng; Chu, Haitao – Research Synthesis Methods, 2018
In medical sciences, a disease condition is typically associated with multiple risk and protective factors. Although many studies report results of multiple factors, nearly all meta-analyses separately synthesize the association between each factor and the disease condition of interest. The collected studies usually report different subsets of…
Descriptors: Bayesian Statistics, Multivariate Analysis, Meta Analysis, Correlation
Nimon, Kim; Zientek, Linda Reichwein; Kraha, Amanda – International Journal of Adult Vocational Education and Technology, 2016
Multivariate techniques are increasingly popular as researchers attempt to accurately model a complex world. MANOVA is a multivariate technique used to investigate the dimensions along which groups differ, and how these dimensions may be used to predict group membership. A concern in a MANOVA analysis is to determine if a smaller subset of…
Descriptors: Multivariate Analysis, Research Problems, Statistical Analysis, Computer Software
Lee, Katherine J.; Roberts, Gehan; Doyle, Lex W.; Anderson, Peter J.; Carlin, John B. – International Journal of Social Research Methodology, 2016
Multiple imputation (MI), a two-stage process whereby missing data are imputed multiple times and the resulting estimates of the parameter(s) of interest are combined across the completed datasets, is becoming increasingly popular for handling missing data. However, MI can result in biased inference if not carried out appropriately or if the…
Descriptors: Data Analysis, Statistical Inference, Computation, Research Problems

Miller, 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
Bockenholt, Ulf; Van Der Heijden, Peter G. M. – Psychometrika, 2007
Randomized response (RR) is a well-known method for measuring sensitive behavior. Yet this method is not often applied because: (i) of its lower efficiency and the resulting need for larger sample sizes which make applications of RR costly; (ii) despite its privacy-protection mechanism the RR design may not be followed by every respondent; and…
Descriptors: Social Influences, Social Control, Item Response Theory, Research Problems
Grundmann, Matthias – 1997
Following the assumptions of ecological socialization research, adequate analysis of socialization conditions must take into account the multilevel and multivariate structure of social factors that impact on human development. This statement implies that complex models of family configurations or of socialization factors are needed to explain the…
Descriptors: Individual Development, Models, Multivariate Analysis, Research Methodology

Sullins, Walter L. – Contemporary Education, 1983
This paper comments on the impact of computers on statistical analysis and presents a concise, nontechnical overview of five statistical methods now being applied in educational research. Appropriate uses of these techniques are pointed out, along with dangers concerning misapplications. (PP)
Descriptors: Comparative Analysis, Computer Programs, Discriminant Analysis, Educational Research

Cattell, Raymond B. – Multivariate Behavioral Research, 1984
In this overview of his research in personality theory, Cattell describes the play of people, situations, and, ideas enacted over 30 years in his University of Illinois laboratory. Establishing meaningful empirical measurement methods was the foundation for further research into many aspects of personality development. (BS)
Descriptors: Affective Behavior, Autobiographies, Behavior Theories, Behavioral Science Research