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Fangxing Bai; Ben Kelcey; Yanli Xie; Kyle Cox – Journal of Experimental Education, 2025
Prior research has suggested that clustered regression discontinuity designs are a formidable alternative to cluster randomized designs because they provide targeted treatment assignment while maintaining a high-quality basis for inferences on local treatment effects. However, methods for the design and analysis of clustered regression…
Descriptors: Regression (Statistics), Statistical Analysis, Research Design, Educational Research
Shen, Ting; Konstantopoulos, Spyros – Journal of Experimental Education, 2022
Large-scale education data are collected via complex sampling designs that incorporate clustering and unequal probability of selection. Multilevel models are often utilized to account for clustering effects. The probability weighted approach (PWA) has been frequently used to deal with the unequal probability of selection. In this study, we examine…
Descriptors: Data Collection, Educational Research, Hierarchical Linear Modeling, Bayesian Statistics
Finch, W. Holmes; Finch, Maria Hernández – Journal of Experimental Education, 2018
Single subject (SS) designs are popular in educational and psychological research. There exist several statistical techniques designed to analyze such data and to address the question of whether an intervention has the desired impact. Recently, researchers have suggested that generalized additive models (GAMs) might be useful for modeling…
Descriptors: Educational Research, Longitudinal Studies, Simulation, Models
Finch, W. Holmes – Journal of Experimental Education, 2016
Multivariate analysis of variance (MANOVA) is widely used in educational research to compare means on multiple dependent variables across groups. Researchers faced with the problem of missing data often use multiple imputation of values in place of the missing observations. This study compares the performance of 2 methods for combining p values in…
Descriptors: Multivariate Analysis, Educational Research, Error of Measurement, Research Problems
Lai, Mark H. C.; Kwok, Oi-man – Journal of Experimental Education, 2015
Educational researchers commonly use the rule of thumb of "design effect smaller than 2" as the justification of not accounting for the multilevel or clustered structure in their data. The rule, however, has not yet been systematically studied in previous research. In the present study, we generated data from three different models…
Descriptors: Educational Research, Research Design, Cluster Grouping, Statistical Data
Morin, Alexandre J. S.; Marsh, Herbert W.; Nagengast, Benjamin; Scalas, L. Francesca – Journal of Experimental Education, 2014
Many classroom climate studies suffer from 2 critical problems: They (a) treat climate as a student-level (L1) variable in single-level analyses instead of a classroom-level (L2) construct in multilevel analyses; and (b) rely on manifest-variable models rather than on latent-variable models that control measurement error at L1 and L2, and sampling…
Descriptors: Classroom Environment, Hierarchical Linear Modeling, Structural Equation Models, Grade 5
Harwell, Michael; Maeda, Yukiko – Journal of Experimental Education, 2008
There is general agreement that meta-analysis is an important tool for synthesizing study results in quantitative educational research. Yet, a shared feature of many meta-analyses is a failure to report sufficient information for readers to fully judge the reported findings, such as the populations to which generalizations are to be made,…
Descriptors: Educational Research, Meta Analysis, Research Methodology, Statistical Analysis

Huck, Schuyler W.; Sutton, Cary O. – Journal of Experimental Education, 1974
Considered the statistical comparison of groups under the condition of equal sample sizes. (Author)
Descriptors: Educational Research, Sampling, Statistical Analysis, Tables (Data)

Busk, Patricia L.; Marascuilo, Leonard A. – Journal of Experimental Education, 1987
Large sample univariate methods are presented. These methods compare effect sizes within a single study between independent groups of different subjects on a single dependent measurement and independent groups that are assessed on the same dependent variable while using a different test. (TJH)
Descriptors: Educational Research, Effect Size, Sample Size, Sampling

Howell, John F.; Games, Paul A. – Journal of Experimental Education, 1973
The present study contrasted the robustness of the WSD and the F test to heterogeneity of variances. (Author)
Descriptors: Analysis of Variance, Computers, Educational Experiments, Educational Research

Barcikowski, Robert S. – Journal of Experimental Education, 1973
It is the purpose of this paper to provide social scientists with some insight in dealing with Type 11 error, that is, the probability of failing to reject a false null hypothesis, and therefore, optimum sample size and number of levels, in the random-effects analysis of variance. (Author/RK)
Descriptors: Analysis of Variance, Educational Research, Sampling, Social Sciences

Houston, Judith A.; Houston, Samuel R. – Journal of Experimental Education, 1974
The primary purpose of this study was to determine if a policy-capturing methodology (JAN) which has been successfully utilized in military and educational research could be adapted for use as a procedure in identifying pornographic material. (Author)
Descriptors: Data Analysis, Decision Making, Educational Research, Lawyers

Atwood, L. Erwin; Crain, Susan – Journal of Experimental Education, 1973
The purpose of this study was to replicate the survey reported by Atwood and Starck (2) to determine if changes had taken place in the perceived dimensions of the issues and the patterns of the attitudes toward university role and governance following the period of prolonged uncerta. (Author)
Descriptors: Data Analysis, Educational Research, Faculty, Opinions

Short, Bryl G.; Szabo, Michael – Journal of Experimental Education, 1974
Two components of sophistication of researchers are increased knowledge of and attitudes toward educational research. The topic of this paper is the exploration of the status of these components in a sample of public school teachers. (Author)
Descriptors: Data Analysis, Demography, Educational Research, Research Methodology

Adair, John G.; And Others – Journal of Experimental Education, 1990
A review and meta-analysis were made of placebo control groups in educational experiments. In all, 125 studies were clustered into procedures that included (1) explicit manipulation of attentional elements; (2) explicit description of the placebo activity plus implied reference to attention; and (3) exclusive reference to the activity. (SLD)
Descriptors: Attention, Control Groups, Educational Research, Effect Size
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