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Ting Dai; Yang Du; Jennifer Cromley; Tia Fechter; Frank Nelson – Journal of Experimental Education, 2024
Simple matrix sampling planned missing (SMS PD) design, introduce missing data patterns that lead to covariances between variables that are not jointly observed, and create difficulties for analyses other than mean and variance estimations. Based on prior research, we adopted a new multigroup confirmatory factor analysis (CFA) approach to handle…
Descriptors: Research Problems, Research Design, Data, Matrices
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
Lee, Daniel Y.; Harring, Jeffrey R.; Stapleton, Laura M. – Journal of Experimental Education, 2019
Respondent attrition is a common problem in national longitudinal panel surveys. To make full use of the data, weights are provided to account for attrition. Weight adjustments are based on sampling design information and data from the base year; information from subsequent waves is typically not utilized. Alternative methods to address bias from…
Descriptors: Longitudinal Studies, Research Methodology, Research Problems, Data Analysis
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
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

Miskel, Cecil; Heller, Leonard – Journal of Experimental Education, 1973
The purpose of the current research has been to establish the factorial validity and reliability of the Work Components Study in the public school system. (Author/RK)
Descriptors: Data Analysis, Methods, Motivation, Questionnaires

Kohr, Richard L.; Games, Paul A. – Journal of Experimental Education, 1974
The present study was addressed to the group AOV situation. Onte Carlo methods were employed to contrast several procedures with respect to a. ) control over Type 1 errors and b. ) power. (Editor)
Descriptors: Analysis of Variance, Data Analysis, Research Methodology, Sampling

Barfield, Vivian; Burlingame, Martin – Journal of Experimental Education, 1974
The primary purpose of this study was to explore the relationship between the teacher's perception of pupil control and three particular variables, namely, the socioeconomic status of the school's clientele, the teacher's sense of efficacy, and the bureaucratic level of the school (elementary, junior, or senior).
Descriptors: Data Analysis, Perception, Sampling, Socioeconomic Status

Huck, Schuyler W. – Journal of Experimental Education, 1991
This poem, with stanzas in limerick form, refers humorously to the many threats to validity posed by problems in research design, including problems of sample selection, data collection, and data analysis. (SLD)
Descriptors: Data Analysis, Data Collection, Experiments, Poetry

Sorotzkin, Feige; And Others – Journal of Experimental Education, 1974
The present effort had two major thrusts: 1.) to study the behavioral consequences of communicating group test scores to teachers and 2.) to investigate the behavioral outcomes of antecedent teacher attitudes toward testing. (Author)
Descriptors: Data Analysis, Elementary School Teachers, Intelligence Quotient, Sampling

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

Hahs-Vaughn, Debbie L. – Journal of Experimental Education, 2005
Using data from the National Study of Postsecondary Faculty and the Early Childhood Longitudinal Study--Kindergarten Class of 1998-99, the author provides guidelines for incorporating weights and design effects in single-level analysis using Windows-based SPSS and AM software. Examples of analyses that do and do not employ weights and design…
Descriptors: Statistical Analysis, Data, Guidelines, Sampling