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Campbell, Kathleen T.; Taylor, Dianne L. – Journal of Experimental Education, 1996
A hypothesized data set is used to illustrate that canonical correlation analysis is a general linear model, subsuming other parametric procedures as special cases. Specific techniques included in analyses are t tests, Pearson correlation, multiple regression, analysis of variance, multivariate analysis of variance, and discriminant analysis. (SLD)
Descriptors: Analysis of Variance, Correlation, Heuristics, Multivariate Analysis
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Hong, Sehee; Roznowski, Mary – Applied Measurement in Education, 2001
Studied the relationship between internal test bias and regression slope differences. Monte Carlo simulation results indicate a strong relationship between internal test bias and slope differences, but this relationship does not imply that an absence of internal test bias leads to slope invariance or that slope differences imply internal test…
Descriptors: Item Bias, Monte Carlo Methods, Regression (Statistics), Test Bias
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Voaklander, Donald C.; Kelly, Karen D.; Jones, C. Allyson; Suarez-Almazor, Maria E. – Social Indicators Research, 2004
The purpose of this project was to compare three hospital-based measures of co-morbidity to patient self-report co-morbidity and to determine the relative proportion of outcome predicted by each of the co-morbidity measures in a population of individuals receiving major joint arthroplasty. Baseline measures using the SF-36 general health…
Descriptors: Foreign Countries, Regression (Statistics), Quality of Life, Job Training
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Golicnik, Marko; Stojan, Jure – Biochemistry and Molecular Biology Education, 2004
Tyrosinase (EC 1.14.18.1) catalyzes the oxidation of L-3,4-dihydroxyphenylalanine (L-DOPA) to 2,3,5,6-tetrahydro-5,6-dioxo-1H-indole-2-carboxylate (dopachrome), according to the classical Michaelis-Menten kinetic mechanism. The enzyme is strongly but slowly inhibited by alpha-amino-beta-[N-(3-hydroxy-4-pyridone)] propionic acid (L-mimosine), a…
Descriptors: Teaching Methods, Biochemistry, Inhibition, Kinetics
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Maschi, Tina – Social Work, 2006
This study examined how the cumulative (additive) versus differential (individual) effects of trauma influenced male delinquency. Using a comprehensive measure of trauma, a secondary data analysis was conducted on a nationally representative sample of male youths between the ages of 12 and 17. Logistic regression analyses revealed that all three…
Descriptors: Data Analysis, Delinquency, Males, Regression (Statistics)
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Muehlenkamp, Jennifer J.; Gutierrez, Peter M. – Suicide and Life-Threatening Behavior, 2004
Data from 390 high school students were collected to examine potential differences between adolescents who had attempted suicide and those who engaged in self-injurious behavior on measures of depression, suicidal ideation, and attitudes toward life and death. Significant differences were found between controls and the self-harm groups on all…
Descriptors: Adolescents, Depression (Psychology), Suicide, Regression (Statistics)
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MacKinnon, David P.; Lockwood, Chondra M.; Williams, Jason – Multivariate Behavioral Research, 2004
The most commonly used method to test an indirect effect is to divide the estimate of the indirect effect by its standard error and compare the resulting z statistic with a critical value from the standard normal distribution. Confidence limits for the indirect effect are also typically based on critical values from the standard normal…
Descriptors: Simulation, Regression (Statistics), Data Analysis, Evaluation Methods
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Lipovetsky, Stan; Conklin, W. Michael – International Journal of Mathematical Education in Science and Technology, 2004
Relations between pairwise correlations and the coefficient of multiple determination in regression analysis are considered. The conditions for the occurrence of enhance-synergism and suppression effects when multiple determination becomes bigger than the total of squared correlations of the dependent variable with the regressors are discussed. It…
Descriptors: Multiple Regression Analysis, Regression (Statistics), Mathematical Formulas, College Mathematics
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Jones, Gregory Todd; Hagtvedt, Reidar; Jones, Kari – Teaching Statistics: An International Journal for Teachers, 2004
In spite of the name, simple linear regression presents a number of conceptual difficulties, particularly for introductory students. This article describes a simulation tool that provides a hands-on method for illuminating the relationship between parameters and sample statistics.
Descriptors: Regression (Statistics), Simulation, Teaching Methods, Concept Formation
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Miyazaki, Yasuo; Maier, Kimberly S. – Journal of Educational and Behavioral Statistics, 2005
In hierarchical linear models we often find that group indicator variables at the cluster level are significant predictors for the regression slopes. When this is the case, the average relationship between the outcome and a key independent variable are different from group to group. In these settings, a question such as "what range of the…
Descriptors: Statistical Analysis, Predictor Variables, Multivariate Analysis, Regression (Statistics)
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Kohn, Carolynn S.; Sayers, Steven L. – Cognitive and Behavioral Practice, 2005
Research suggests that extreme relationship standards are both positively and negatively associated with relationship satisfaction. This study tested the hypothesis that the association between relationship satisfaction and extreme standards is moderated by the status of the couple (i.e., discordant versus nondiscordant). Sixty-two couples…
Descriptors: Spouses, Interpersonal Relationship, Regression (Statistics), Evaluation
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Liu, Ruth X. – Journal of Youth and Adolescence, 2006
This paper examines whether severity of depression reduces or intensifies the relationship between friends' suicide attempt and adolescent's own attempt to commit suicide, and whether there are gender differences in this interrelationship. Using logistic regression and data from a nationally representative sample of adolescents studied at 2 points…
Descriptors: Suicide, Depression (Psychology), Adolescents, Friendship
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Levy, Jacob J.; Thompson-Leonardelli, Kenya; Smith, Nathan Grant; Coleman, M. Nicole – Journal of College Counseling, 2005
The present study examined the relationship between attrition after intake and the length of time that clients spent on a waiting list by client race and problem type. Participants were 1,461 clients who completed an initial intake evaluation at a large, Mid-Atlantic counseling center over a 6-year period. Fullfactorial hierarchical logistic…
Descriptors: Counseling Services, Guidance Centers, Attrition (Research Studies), Regression (Statistics)
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Vaughn, Brandon K. – Journal on School Educational Technology, 2008
This study considers the importance of contextual effects on the quality of assessments on item bias and differential item functioning (DIF) in measurement. Often, in educational studies, students are clustered in teachers or schools, and the clusters could impact psychometric issues yet are largely ignored by traditional item analyses. A…
Descriptors: Test Bias, Educational Assessment, Educational Quality, Context Effect
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Rao, Ramesh; Jani, Rohana bt – International Education Studies, 2008
Realizing the importance of education in developing a country, many governments had begun to pay more attention in improving the education quality in their country. However whether the desired level of education quality is equally distributed is still debated on. On top of that, current literature on which level of education, either basic or…
Descriptors: School Effectiveness, Equal Education, Educational Quality, Economic Development
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