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Peer reviewedEvans, Larry D. – Psychology in the Schools, 1992
Explains that an initial criterion to determine severe discrepancies and relative strengths and weaknesses is significant difference between regressed standard scores. Presents tables as convenient method to determine magnitude of discrepancy required for significance at common reliability and intercorrelation values. Shows prevalences of…
Descriptors: Models, Regression (Statistics), Statistical Analysis, Statistical Significance
Peer reviewedLutz, J. Gary; Eckert, Tanya L. – Educational and Psychological Measurement, 1994
Although stated objectives of multivariate multiple regression and canonical correlation seem different, aspects of the analyses themselves are mathematically equivalent. A numerical example of the similarities is given, with reference to omnibus significance testing, variable weighting schemes, and dimension reduction analysis. (SLD)
Descriptors: Correlation, Multivariate Analysis, Regression (Statistics), Statistical Significance
Peer reviewedde Jong, Peter F. – Structural Equation Modeling, 1999
Describes how a hierarchical regression analysis may be conducted in structural equation modeling. The main procedure is to perform a Cholesky or triangular decomposition of the intercorrelations among the latest predictors. Provides an example of a hierarchical regression analysis with latent variables. (SLD)
Descriptors: Predictor Variables, Regression (Statistics), Structural Equation Models
Peer reviewedCizek, Gregory J.; Fitzgerald, Shawn M. – Measurement and Evaluation in Counseling and Development, 1999
Where linearity cannot be assumed, logistic regression may be appropriate. This article describes conditions and tests for using logistic regression; introduces the logistic-regression model, the use of logistic-regression software, and some applications in published literature. Univariate and multiple independent-variable conditions and…
Descriptors: Counseling, Educational Research, Psychological Studies, Regression (Statistics)
Peer reviewedKromrey, Jeffrey D.; Foster-Johnson, Lynn – Educational and Psychological Measurement, 1999
Shows that the procedure recommended by D. Lubinski and L. Humphreys (1990) for differentiating between moderated and nonlinear regression models evidences statistical problems characteristic of stepwise procedures. Interprets Monte Carlo results in terms of the researchers' need to differentiate between exploratory and confirmatory aspects of…
Descriptors: Interaction, Models, Monte Carlo Methods, Regression (Statistics)
A Heuristic Method for Estimating the Relative Weight of Predictor Variables in Multiple Regression.
Peer reviewedJohnson, Jeff W. – Multivariate Behavioral Research, 2000
Proposes a heuristic method for estimating the relative weight of predictor variables in multiple regression that is computationally efficient with any number of predictors and that can be shown to produce results similar to those produced by more complex methods. (SLD)
Descriptors: Estimation (Mathematics), Heuristics, Predictor Variables, Regression (Statistics)
Peer reviewedHumphreys, Keith; Janson, Harald – Multivariate Behavioral Research, 2000
Describes ways to enhance the practicability of latent transition analysis (LTA) by incorporating recent developments in latent class regression modeling. Illustrates the approach with the measurement of children's drawing development using data from 202 participants in a longitudinal study. (SLD)
Descriptors: Children, Freehand Drawing, Longitudinal Studies, Regression (Statistics)
Peer reviewedHess, Brian; Olejnik, Stephen; Huberty, Carl J. – Educational and Psychological Measurement, 2001
Studied the efficacy of two improvement-over-chance or "I" effect sizes derived from predictive discriminant analysis and logistic regression analysis for two-group univariate mean comparisons through simulation. Discusses the ways in which the usefulness of each of the indices depends on the population characteristics. (SLD)
Descriptors: Comparative Analysis, Effect Size, Regression (Statistics), Simulation
Peer reviewedHabing, Brian – Applied Psychological Measurement, 2001
Discusses ideas underlying nonparametric regression and the parametric bootstrap with an overview of their application to item response theory and the assessment of local dependence. Illustrates the use of the method in assessing local dependence that varies with examinee trait levels. (SLD)
Descriptors: Item Response Theory, Nonparametric Statistics, Regression (Statistics)
Peer reviewedKothari, Bhupesh; Claypool, Mark – Internet Research, 2001
Discussion of Web servers and requests for dynamic pages focuses on experimentally measuring and analyzing the performance of the three dynamic Web page generation technologies: CGI, FastCGI, and Servlets. Develops a multivariate linear regression model and predicts Web server performance under some typical dynamic requests. (Author/LRW)
Descriptors: Measurement Techniques, Regression (Statistics), World Wide Web
Freedman, David A. – Evaluation Review, 2004
This article (which is mainly expository) sets up graphical models for causation, having a bit less than the usual complement of hypothetical counterfactuals. Assuming the invariance of error distributions may be essential for causal inference, but the errors themselves need not be invariant. Graphs can be interpreted using conditional…
Descriptors: Prior Learning, Identification, Causal Models, Regression (Statistics)
Morrison, Michael C. – Online Submission, 2008
The purpose of this study was to assess the impact of acceleration (dual enrollment) on college graduation. Over 9,200 student records from 1996 to 2006 at North Iowa Area Community College were analyzed in a logistics regression model. Holding all other independent variables constant the odds that an accelerated student graduates compared to a…
Descriptors: Student Records, Grade Point Average, Graduation Rate, College Credits
Ryan, Timothy D. – Physical Educator, 2008
Antecedents for interrole conflict between the teaching role and coaching role for the high school teacher coach (TC) were examined. It was expected that younger TCs, those in smaller schools, TCs with more coaching jobs, or TCs with an unbalanced role preference will experience more conflict between the teaching and coaching role. Using…
Descriptors: Secondary School Teachers, Regression (Statistics), High Schools, Athletic Coaches
Diemer, Matthew A.; Hsieh, Chueh-an – Career Development Quarterly, 2008
The well-documented aspiration-expectation gap refers to lower socioeconomic status (SES) adolescents of color expecting to attain occupations with lower pay and status than the occupations to which they aspire. Sociopolitical inequity, such as structural racism and asymmetrical access to resources, may explain this gap. This article examines the…
Descriptors: Expectation, Socioeconomic Status, Adolescents, Occupational Aspiration
Maingot, Michael; Zeghal, Daniel – Tertiary Education and Management, 2008
Managing by performance indicators (PIs) is an important and controversial issue for many stakeholders concerned with higher education in the university systems all over the world. This study analyzes the voluntary disclosures of PIs by Canadian universities. The sample consisted of the 44 universities used by Maclean's Canadian Universities…
Descriptors: Higher Education, Universities, Foreign Countries, Disclosure

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