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Fan, Weihua; Hancock, Gregory R. – Journal of Educational and Behavioral Statistics, 2012
This study proposes robust means modeling (RMM) approaches for hypothesis testing of mean differences for between-subjects designs in order to control the biasing effects of nonnormality and variance inequality. Drawing from structural equation modeling (SEM), the RMM approaches make no assumption of variance homogeneity and employ robust…
Descriptors: Robustness (Statistics), Hypothesis Testing, Monte Carlo Methods, Simulation
Choi, Jaehwa; Kim, Sunhee; Chen, Jinsong; Dannels, Sharon – Journal of Educational and Behavioral Statistics, 2011
The purpose of this study is to compare the maximum likelihood (ML) and Bayesian estimation methods for polychoric correlation (PCC) under diverse conditions using a Monte Carlo simulation. Two new Bayesian estimates, maximum a posteriori (MAP) and expected a posteriori (EAP), are compared to ML, the classic solution, to estimate PCC. Different…
Descriptors: Computation, Maximum Likelihood Statistics, Bayesian Statistics, Correlation
Hedges, Larry V. – Journal of Educational and Behavioral Statistics, 2011
Research designs involving cluster randomization are becoming increasingly important in educational and behavioral research. Many of these designs involve two levels of clustering or nesting (students within classes and classes within schools). Researchers would like to compute effect size indexes based on the standardized mean difference to…
Descriptors: Effect Size, Research Design, Experiments, Computation
Kelley, Ken; Lai, Keke – Multivariate Behavioral Research, 2011
The root mean square error of approximation (RMSEA) is one of the most widely reported measures of misfit/fit in applications of structural equation modeling. When the RMSEA is of interest, so too should be the accompanying confidence interval. A narrow confidence interval reveals that the plausible parameter values are confined to a relatively…
Descriptors: Computation, Statistical Analysis, Sample Size, Planning
Yuan, Ke-Hai; Chan, Wai – Psychometrika, 2011
The paper obtains consistent standard errors (SE) and biases of order O(1/n) for the sample standardized regression coefficients with both random and given predictors. Analytical results indicate that the formulas for SEs given in popular text books are consistent only when the population value of the regression coefficient is zero. The sample…
Descriptors: Statistical Bias, Error of Measurement, Regression (Statistics), Predictor Variables
Leite, Walter L.; Stapleton, Laura M. – Journal of Experimental Education, 2011
In this study, the authors compared the likelihood ratio test and fit indexes for detection of misspecifications of growth shape in latent growth models through a simulation study and a graphical analysis. They found that the likelihood ratio test, MFI, and root mean square error of approximation performed best for detecting model misspecification…
Descriptors: Structural Equation Models, Simulation, Geometric Concepts, Sample Size
Erford, Bradley T.; Miller, Emily M.; Schein, Hallie; McDonald, Allison; Ludwig, Lisa; Leishear, Kathleen – Journal of Counseling & Development, 2011
Publication patterns of articles in the "Journal of Counseling & Development" from 1994 to 2009 were reviewed. Trends over time were analyzed in article content (e.g., type, content topic) and author demographic characteristics (i.e., gender, nation of domicile, and employment setting). Of particular interest because of the scientific…
Descriptors: Periodicals, Counseling, Journal Articles, Authors
Son, Ji Y.; Smith, Linda B.; Goldstone, Robert L. – Journal of Experimental Child Psychology, 2011
The practice of learning from multiple instances seems to allow children to learn about relational structure. The experiments reported here focused on two issues regarding relational learning from multiple instances: (a) what kind of perceptual situations foster such learning and (b) how particular object properties, such as complexity and…
Descriptors: Theory Practice Relationship, Generalization, Children, Thinking Skills
Apa Browne, Lynn Geri – ProQuest LLC, 2014
Elementary grade students in a mid-Atlantic state school district have not been meeting academic standards on state assessments. Research indicates that academic achievement is connected to self-directed readiness to learn; however, often the instruction in strategies for student self-directed readiness to learn remains teacher-centered. The…
Descriptors: Elementary School Students, Goal Orientation, Learning Strategies, Learning Readiness
Strayer, Jeremy F. – Mathematics Teacher, 2013
Statistical studies are referenced in the news every day, so frequently that people are sometimes skeptical of reported results. Often, no matter how large a sample size researchers use in their studies, people believe that the sample size is too small to make broad generalizations. The tasks presented in this article use simulations of repeated…
Descriptors: Sampling, Sample Size, Research Methodology, Statistical Analysis
Olivera-Aguilar, Margarita; Millsap, Roger E. – Multivariate Behavioral Research, 2013
A common finding in studies of differential prediction across groups is that although regression slopes are the same or similar across groups, group differences exist in regression intercepts. Building on earlier work by Birnbaum (1979), Millsap (1998) presented an invariant factor model that would explain such intercept differences as arising due…
Descriptors: Statistical Analysis, Measurement, Prediction, Regression (Statistics)
Anderson, Craig; Pham, Jeanie – Australian Academic & Research Libraries, 2013
The increasing availability and prominence of e-books has led to a perception in some quarters that the requirement for physical books is decreasing, as most, or all scholarly material is openly available in digital form. Some academic administrators and librarians have suggested that it may be possible or desirable to have a solely, or…
Descriptors: Academic Libraries, Foreign Countries, Periodicals, Printed Materials
Phillips, Gary W. – Applied Measurement in Education, 2015
This article proposes that sampling design effects have potentially huge unrecognized impacts on the results reported by large-scale district and state assessments in the United States. When design effects are unrecognized and unaccounted for they lead to underestimating the sampling error in item and test statistics. Underestimating the sampling…
Descriptors: State Programs, Sampling, Research Design, Error of Measurement
Asaad, Yousra; Melewar, T. C.; Cohen, Geraldine – Journal of Marketing for Higher Education, 2015
This study seeks to extend our knowledge of export market orientation (EMO) in the context of British universities with regard to recruitment of international students. Export marketing remains an area of limited focus in the marketization of higher education literature. The study predominantly follows a quantitative research design using survey…
Descriptors: Marketing, Student Recruitment, Foreign Students, Foreign Countries
Mattern, Krista D.; Patterson, Brian F. – College Board, 2012
The College Board formed a research consortium with four-year colleges and universities to build a national higher education database with the primary goal of validating the revised SAT®, which consists of three sections: critical reading (SAT-CR), mathematics (SAT-M), and writing (SAT-W), for use in college admission. A study by Mattern and…
Descriptors: College Entrance Examinations, Scores, Test Validity, Academic Persistence

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