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Taylor, Aaron B.; West, Stephen G.; Aiken, Leona S. – Educational and Psychological Measurement, 2006
Variables that have been coarsely categorized into a small number of ordered categories are often modeled as outcome variables in psychological research. The authors employ a Monte Carlo study to investigate the effects of this coarse categorization of dependent variables on power to detect true effects using three classes of regression models:…
Descriptors: Regression (Statistics), Classification, Monte Carlo Methods, Sample Size
Zimmerman, Donald W. – Psicologica: International Journal of Methodology and Experimental Psychology, 2004
It is well known that the two-sample Student t test fails to maintain its significance level when the variances of treatment groups are unequal, and, at the same time, sample sizes are unequal. However, introductory textbooks in psychology and education often maintain that the test is robust to variance heterogeneity when sample sizes are equal.…
Descriptors: Sample Size, Nonparametric Statistics, Probability, Statistical Analysis
What Works Clearinghouse, 2004
Peters (1992) reports that students in the intervention and control groups showed gains on the Orleans-Hanna test during the course of the school year (that is, from pretest to posttest). However, the test score gains of the two groups did not differ significantly. There was no evidence that the Saxon Algebra curriculum (intervention) was more or…
Descriptors: Mathematics Achievement, Intervention, Scores, Control Groups
Kotey, Bernice – Education & Training, 2007
Purpose: The paper seeks to demonstrate the characteristics of group work that are required to teach the attributes of real world venture teamwork in tertiary entrepreneurship programmes. Design/methodology/approach: One-tailed Spearman correlation analysis is used to assess the associations between students' grades in four group assessment tasks…
Descriptors: Student Evaluation, Teamwork, Program Effectiveness, Correlation
Liu, Yan; Zumbo, Bruno D. – Educational and Psychological Measurement, 2007
The impact of outliers on Cronbach's coefficient [alpha] has not been documented in the psychometric or statistical literature. This is an important gap because coefficient [alpha] is the most widely used measurement statistic in all of the social, educational, and health sciences. The impact of outliers on coefficient [alpha] is investigated for…
Descriptors: Psychometrics, Computation, Reliability, Monte Carlo Methods
Murphy, P. Karen; Edwards, Maeghan N.; Buehl, Michelle M.; Zeruth, Jill A. – Journal of Experimental Education, 2007
Recent interest in epistemic beliefs has given way to a proliferation of new measures. Yet, little is known about the psychometric properties of various measures when used with diverse populations. In this study, the authors explored the psychometric properties of a measure of existing epistemic beliefs, the Domain-Specific Belief Questionnaire…
Descriptors: Measures (Individuals), Adolescents, Psychometrics, Questionnaires
Vegas, Kristopher C.; Jenson, William R.; Kircher, John C. – Behavioral Disorders, 2007
One current area of dispute in the psychological literature is the inclusion of and proper meta-analytic data analysis procedures for single-subject designs. The current single-subject meta-analysis (N = 25) investigated the effect of time-out for the reduction of disruptive classroom behaviors in nondevelopmentally delayed children. Two separate…
Descriptors: Student Behavior, Computer Software, Meta Analysis, Timeout
Hedges, Larry V.; Hedberg, E. C. – Journal of Research in Rural Education, 2007
Experiments that assign intact groups (usually schools) to treatment conditions are increasingly common in educational research. The design of group randomized experiments requires knowledge of the intraclass correlation structure to compute statistical power and to determine the sample sizes required to achieve adequate power. The intraclass…
Descriptors: Rural Education, Rural Schools, Educational Research, Academic Achievement
Houts, Lisa M.; Taylor, James C. – Journal of College Teaching & Learning, 2008
The production and operations management class offered at California State University, Fresno underwent a transformation from being a four-unit, face-to-face course to a hybrid course. This hybrid course, which is required for all students in the Craig School of Business, includes two units of face-to-face instruction each week, with some coverage…
Descriptors: Grades (Scholastic), Academic Achievement, College Students, Blended Learning
Zientek, Linda Reichwein; Capraro, Mary Margaret; Capraro, Robert M. – Educational Researcher, 2008
The authors of this article examine the analytic and reporting features of research articles cited in "Studying Teacher Education: The Report of the AERA Panel on Research and Teacher Education" (Cochran-Smith & Zeichner, 2005b) that used quantitative reporting practices. Their purpose was to help to identify reporting practices that can be…
Descriptors: Preservice Teacher Education, Social Science Research, Intervals, Social Sciences
Smith, Richard M.; And Others – 1995
In the mid to late 1970s, considerable research was conducted on the properties of Rasch fit mean squares, resulting in transformations to convert the mean squares into approximate t-statistics. In the late 1980s and the early 1990s, the trend seems to have reversed, with numerous researchers using the untransformed fit mean squares as a means of…
Descriptors: Evaluation Methods, Goodness of Fit, Item Response Theory, Sample Size
Hutchinson, Susan R. – 1994
The work of R. MacCallum et al. (1992) was extended by examining chance modifications through a Monte Carlo simulation. The stability of post hoc model modifications was examined under varying sample size, model complexity, and severity of misspecification using 2- and 4-factor oblique confirmatory factor analysis (CFA) models with four and eight…
Descriptors: Computer Simulation, Models, Monte Carlo Methods, Reliability
Ferrell, Charlotte M. – 1992
Statistical significance is often misinterpreted to mean replicability or generalizability of results, although a statistically significant difference does not equal a reliable difference. Sample splitting procedures may be a more accurate way of estimating research result generalizability. This type of cross-validation involves randomly dividing…
Descriptors: Equations (Mathematics), Generalization, Mathematical Models, Predictive Measurement
Barnette, J. Jackson; McLean, James E. – 1998
Tukey's Honestly Significant Difference (HSD) procedure (J. Tukey, 1953) is probably the most recommended and used procedure for controlling Type I error rate when making multiple pairwise comparisons as follow-ups to a significant omnibus F test. This study compared observed Type I errors with nominal alphas of 0.01, 0.05, and 0.10 compared for…
Descriptors: Comparative Analysis, Error of Measurement, Monte Carlo Methods, Research Methodology
Hsiung, Tung-Hsing; Olejnik, Stephen – 1991
Using computer simulated data, the Type I error rate and statistical power were empirically estimated for several pairwise multiple comparison strategies for situations where population variances differ. Focus was on comparing modified Bonferroni procedures with Dunnett's solutions, and determining whether or not J. P. Shaffer's suggestion of…
Descriptors: Comparative Analysis, Equations (Mathematics), Estimation (Mathematics), Mathematical Models

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