NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 9 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Aydin, Burak; Algina, James – Journal of Experimental Education, 2022
Decomposing variables into between and within components are often required in multilevel analysis. This method of decomposition should not ignore possible unreliability of an observed group mean (i.e., arithmetic mean) that is due to small cluster sizes and can lead to substantially biased estimates. Adjustment procedures that allow unbiased…
Descriptors: Hierarchical Linear Modeling, Prediction, Research Methodology, Educational Research
Peer reviewed Peer reviewed
Direct linkDirect link
Powell, Marvin G.; Hull, Darrell M.; Beaujean, A. Alexander – Journal of Experimental Education, 2020
Randomized controlled trials are not always feasible in educational research, so researchers must use alternative methods to study treatment effects. Propensity score matching is one such method for observational studies that has shown considerable growth in popularity since it was first introduced in the early 1980s. This paper outlines the…
Descriptors: Probability, Scores, Observation, Educational Research
Peer reviewed Peer reviewed
Pohl, Norval Frederick – Journal of Experimental Education, 1974
The purpose of this study was to compare the relative classificatory ability of the Linear Discriminant Function (LDF) and the Bayesian Taxonomic Procedure (BTP) when these techniques are applied to multivariate normal and nonnormal data with differing degrees of overlap in the distributions of the predictor variables. (Editor)
Descriptors: Bayesian Statistics, Diagrams, Predictor Variables, Research Design
Peer reviewed Peer reviewed
Mabee, W. Scott – Journal of Experimental Education, 1978
Applies the judgment analysis technique (JAN) to the decision-making procedure of learning disabilities (LD) specialists. Each group of learning disabilities specialists, as formed by JAN, represented a different judgmental policy or a different construct of learning disabilities. (Author/RK)
Descriptors: Definitions, Educational Research, Evaluation Criteria, Illustrations
Peer reviewed Peer reviewed
Grobe, Cary H.; MacDonald, Ian S. – Journal of Experimental Education, 1975
The purpose of this investigation was to determine the contribution of factors such as: (1) high school science background; (2) interest in geology; (3) teacher characteristics; and (4) geology course background to performance on a measure of geology achievement. (Author)
Descriptors: Academic Achievement, Course Content, Data Analysis, Geology
Peer reviewed Peer reviewed
Borich, Gary D. – Journal of Experimental Education, 1972
Paper reviews the test for regression lines and provides equations for expanding this test to regression planes. (Author)
Descriptors: Analysis of Covariance, Homogeneous Grouping, Mathematical Applications, Multiple Regression Analysis
Peer reviewed Peer reviewed
Henke, Raymond O. – Journal of Experimental Education, 1976
The purpose of this study was to determine characteristics of the disadvantaged client and of the Concentrated Employment Program (CEP) which related to the successful vocational training and placement of 150 unemployed public assistance recipients who were served by the San Antonio Concentrated Employment Program. (Editor)
Descriptors: Diagrams, Disadvantaged, Educational Research, Employment Programs
Peer reviewed Peer reviewed
O'Reilly, Robert R. – Journal of Experimental Education, 1976
Examines the influence of one teacher personality variable, dogmatism, and one organizational variable, tenure status, on the resistance of teachers toward innovation. (Author/RK)
Descriptors: Dogmatism, Educational Innovation, Educational Research, Predictor Variables
Peer reviewed Peer reviewed
Morris, John D.; Guertin, Wilson H. – Journal of Experimental Education, 1977
Common factor scores were compared to unfactored data-level variables as predictors in terms of the correlation of a criterion with the predicted value in multiple regression equations applied to replication (cross-validation) samples. (Editor)
Descriptors: Correlation, Educational Research, Factor Analysis, Factor Structure