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Holton, Elwood F., III; Chen, Hsin-Chih; Naquin, Sharon S. – Human Resource Development Quarterly, 2003
No previous research in the United States has compared and contrasted learning transfer systems across organizations and training types, primarily because no standard instruments were used in previous research. This study, based on a subset of responses in the Learning Transfer System Inventory response database, is the first to conduct such a…
Descriptors: Transfer of Training, Comparative Analysis, Statistical Analysis, Individual Differences
Carson, Cristi, Ed. – Online Submission, 2011
The NEAIR (North East Association for Institutional Research) 2011 Conference Proceedings is a compilation of papers presented at the Boston, Massachusetts conference. Papers in this document include: (1) Are Students Dropping Out or Dragging Out the College Experience? The Roles of Socioeconomic Status and Academic Background (Leslie S. Stratton…
Descriptors: Institutional Research, Dropouts, Time to Degree, College Students
Panchanadeswaran, Subadra; McCloskey, Laura A. – Journal of Interpersonal Violence, 2007
The aim of this study was to investigate forces that affect the timing of women's exit from violent relationships with men. Abused women were recruited from posters in the community and battered women's shelters, interviewed, and followed up for 10 years. Data for this study are based on 100 women and were analyzed using event history analysis.…
Descriptors: Females, Family Violence, Emergency Shelters, Interviews
Bart, William M.; Palvia, Rajkumari – 1983
In previous research, no relationship was found between test factor structure and test hierarchical structure. This study found some correspondence between test factor structure and test inter-item dependency structure, as measured by a log-linear model. There was an inconsistency, however, which warrants further study: more significant two-item…
Descriptors: Factor Structure, Interaction, Latent Trait Theory, Mathematical Models
Peer reviewedJordan, Lawrence A. – Developmental Psychology, 1975
Calls attention to several errors in a recent application of canonical correlation analysis. The reanalysis contradicts Cropley's conclusion that "creativity tests can be said to possess reasonable and encouraging long-range predictive validity." (Author/SDH)
Descriptors: Creativity Research, Creativity Tests, Multivariate Analysis, Predictive Validity
Thompson, Bruce; Pitts, Murray C. – 1982
The author contends that model misspecification can occur even after researchers have selected the generally most appropriate class of methods, or general linear model techniques. It is suggested specifically that canonical correlation analysis may provide more meaningful results, as compared with regression, particularly if analysis is augmented…
Descriptors: Correlation, Data Analysis, Evaluation Criteria, Mathematical Models
Timm, Neil H.; Carlson, James E. – 1975
Part and bi-partial canonical correlations were developed by extending the definitions of part and bi-partial correlation to sets of variates. These coefficients may be used to help researchers explore relationships which exist among several sets of normally distributed variates. (Author)
Descriptors: Computer Programs, Correlation, Data Analysis, Hypothesis Testing
Peer reviewedKerwin, Mary Louise E.; And Others – Counseling Psychologist, 1987
Describes the strengths and weaknesses of a new type of multivariate technique, covariance structure analysis (LISREL). Provides a detailed example which shows how the use of covariance structure analysis can improve research sophistication and theory development in counseling psychology. (Author/ABB)
Descriptors: Counseling, Multiple Regression Analysis, Multivariate Analysis, Psychology
Peer reviewedHaase, Richard F.; Ellis, Michael V. – Journal of Counseling Psychology, 1987
Provides an expository presentation of multivariate analysis (MANOVA). Addresses several questions relating to why one should use MANOVA, its structure, how MANOVA test statistics and follow-up tests are obtained and interpreted, presentation of results, and alternatives to MANOVA. Uses an example data set to illustrate these points. (Author/KS)
Descriptors: Analysis of Variance, Behavioral Science Research, Correlation, Multivariate Analysis
Peer reviewedMoran, James D., III – Home Economics Research Journal, 1986
Describes the appropriate control of experiment-wise error rates and the researcher's role in making decisions to control for Type 1 errors. Issues related to level of significance, one- versus two-tailed tests, and the use of multivariate statistics are included. (Author/CT)
Descriptors: Decision Making, Error of Measurement, Multivariate Analysis, Research Methodology
Peer reviewedLiu, Richard; Sanders, Jack – Research in Higher Education, 1984
A simplified example of a technique, conceived by Yates and later developed by Goodman and Haberman, for the determination of appropriate log-models in the measurement of qualitative data in higher education is presented. (Author/MLW)
Descriptors: Data Analysis, Educational Quality, Higher Education, Models
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
Peer reviewedThompson, Bruce – Perceptual and Motor Skills, 1982
Virtually all parametric statistical procedures have been shown to be special cases of canonical correlation analysis. This article proposes a logic for conducting stepwise canonical correlation analyses, based upon evaluation of canonical communality coefficients. The procedure is a direct analogue of stepwise multiple regression. (Author/RD)
Descriptors: Correlation, Multiple Regression Analysis, Multivariate Analysis, Predictor Variables
Peer reviewedLiu, Richard – College Student Journal, 1982
Discusses the problem of dichotomous-dependent variables in regression analysis in student attrition studies. Proposes a new method as an alternative to regression analysis. (Author/RC)
Descriptors: Higher Education, Multivariate Analysis, Regression (Statistics), Research Methodology
Peer reviewedHsu, Louis M. – Journal of Counseling Psychology, 1989
Discusses three topics related to interpretation of discriminant analyses (DA's): (1) partial F ratios and partial Wilks's lambdas for predictor variables in standard, step-down, and stepwise DA's; (2) relation of goals of classification to definition/evaluation of classification rules; and (3) significance tests for total hit rates in internal…
Descriptors: Data Interpretation, Discriminant Analysis, Multivariate Analysis, Predictor Variables

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