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Corinne Huggins-Manley; Anthony W. Raborn; Peggy K. Jones; Ted Myers – Journal of Educational Measurement, 2024
The purpose of this study is to develop a nonparametric DIF method that (a) compares focal groups directly to the composite group that will be used to develop the reported test score scale, and (b) allows practitioners to explore for DIF related to focal groups stemming from multicategorical variables that constitute a small proportion of the…
Descriptors: Nonparametric Statistics, Test Bias, Scores, Statistical Significance
Predicting Eight Grade Students' Equation Solving Performances via Concepts of Variable and Equality
Ertekin, Erhan – Online Submission, 2017
This study focused on how two algebraic concepts- equality and variable- predicted 8th grade students' equation solving performance. In this study, predictive design as a correlational research design was used. Randomly selected 407 eight-grade students who were from the central districts of a city in the central region of Turkey participated in…
Descriptors: Foreign Countries, Predictor Variables, Middle School Students, Grade 8
Gage, Nicholas A.; Lewis, Timothy J. – Journal of Special Education, 2014
The identification of evidence-based practices continues to provoke issues of disagreement across multiple fields. One area of contention is the role of single-subject design (SSD) research in providing scientific evidence. The debate about SSD's utility centers on three issues: sample size, effect size, and serial dependence. One potential…
Descriptors: Hierarchical Linear Modeling, Meta Analysis, Research Design, Sample Size
Davis, Dawn H.; Gagne, Phill; Fredrick, Laura D.; Alberto, Paul A.; Waugh, Rebecca E.; Haardorfer, Regine – Behavior Modification, 2013
The purpose of this article is to demonstrate how hierarchical linear modeling (HLM) can be used to enhance visual analysis of single-case research (SCR) designs. First, the authors demonstrated the use of growth modeling via HLM to augment visual analysis of a sophisticated single-case study. Data were used from a delayed multiple baseline…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Research Design, Case Studies
Scammacca, Nancy K.; Roberts, Greg; Vaughn, Sharon; Stuebing, Karla K. – Journal of Learning Disabilities, 2015
This meta-analysis synthesizes the literature on interventions for struggling readers in Grades 4 through 12 published between 1980 and 2011. It updates Scammacca et al.'s analysis of studies published between 1980 and 2004. The combined corpus of 82 study-wise effect sizes was meta-analyzed to determine (a) the overall effectiveness of reading…
Descriptors: Meta Analysis, Intervention, Reading Difficulties, Elementary Secondary Education
Thomson, Kathleen Sonia – ProQuest LLC, 2016
This dissertation entitled "Educational choice and educational space" aims to explore the confluence of constructed space and geographic space using a supply-side context for New Zealand's public school system of quasi-open enrollment. In Part I, New Zealand's state and state-integrated school system across four urban areas is analyzed…
Descriptors: Foreign Countries, School Choice, Public Schools, Urban Areas
Dockery, Kim P. – ProQuest LLC, 2011
The purpose of this study was to determine the nature of the relationship between levels of implementation of professional learning communities and Collective Efficacy. More specifically, the study sought to determine the relationship between the levels of implementation of dimensions of professional learning communities (Learning, Collaboration…
Descriptors: Research Design, Task Analysis, Cooperation, Statistical Significance
Glazier, Stephen Gene – ProQuest LLC, 2011
Purpose, Scope, and Method of Study. The population of interest in the study consisted of white and Hispanic high school graduates in the United States who attended college and completed a college developmental mathematics course. Data from the National Educational Longitudinal Study of 1988 were employed, and a longitudinal, quasi-experimental…
Descriptors: Research Design, Graduation Rate, Graduation, Educational Attainment
Banning, Bryan James – ProQuest LLC, 2010
This quantitative study examined the relationships between cultural intelligence (CQ) and four predictor variables: gender, degree level, major, and prior travel abroad, through a post-test only research design. Participants included undergraduate and graduate students enrolled in one of three large, public, research universities in the southeast…
Descriptors: Undergraduate Students, Graduate Students, Intelligence, Research Design
Lehnert, Alina Black – ProQuest LLC, 2009
This study explored the influence of strengths-based development on leadership practices among undergraduate college students while controlling for gender, years of leadership experience, and number of completed leadership courses using a quasi-experimental approach with a randomized control-group pretest-posttest research design. The sample…
Descriptors: Research Design, Pretests Posttests, Learning Modules, College Students
Peer reviewedThompson, Bruce; Borrello, Gloria M. – Educational and Psychological Measurement, 1985
Multiple regression analysis is frequently being employed in experimental and non-experimental research. However, when data include predictor variables that are correlated, some regression results can become difficult to interpret. This paper presents a study to provide a demonstration that structure coefficients may be useful in these cases.…
Descriptors: Correlation, Multiple Regression Analysis, Multivariate Analysis, Predictor Variables
Pohlmann, John T.; McShane, Michael G. – 1974
The purpose of this paper is to demonstrate the use of the general linear model (GLM) in problems with repeated measures on a dependent variable. Such problems include pretest-posttest designs, multitrial designs, and groups by trials designs. For each of these designs, a GLM analysis is demonstrated wherein full models are formed and restrictions…
Descriptors: Hypothesis Testing, Matrices, Models, Predictor Variables
Godbout, Robert C. – 1975
Exploratory research with large numbers of variables and even larger numbers of relationships is likely to result in frequent Type II errors; that is falsely accepting an incorrect null hypotheses. There are three ways of reducing Type II errors: (1) choosing a lower significance level, which then increases the probability of Type I error; (2)…
Descriptors: Aptitude Treatment Interaction, Educational Experiments, Educational Research, Predictor Variables
Pohlmann, John T. – 1979
Three procedures used to control Type I error rate in stepwise regression analysis are forward selection, backward elimination, and true stepwise. In the forward selection method, a model of the dependent variable is formed by choosing the single best predictor; then the second predictor which makes the strongest contribution to the prediction of…
Descriptors: Computer Programs, Error Patterns, Mathematical Models, Multiple Regression Analysis
Williams, John D. – 1976
The use of characteristic coding (dummy coding) is made in showing solutions to four multivariate problems using canonical analysis. The canonical variates can be themselves analyzed by the use of multiple linear regression. When the canonical variates are used as criteria in a multiple linear regression, the R2 values are equal to 0, where 0 is…
Descriptors: Analysis of Variance, Hypothesis Testing, Matrices, Multiple Regression Analysis
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