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André Beauducel; Norbert Hilger; Tobias Kuhl – Educational and Psychological Measurement, 2024
Regression factor score predictors have the maximum factor score determinacy, that is, the maximum correlation with the corresponding factor, but they do not have the same inter-correlations as the factors. As it might be useful to compute factor score predictors that have the same inter-correlations as the factors, correlation-preserving factor…
Descriptors: Scores, Factor Analysis, Correlation, Predictor Variables
Murrah, William M. – Educational and Psychological Measurement, 2020
Multiple regression is often used to compare the importance of two or more predictors. When the predictors being compared are measured with error, the estimated coefficients can be biased and Type I error rates can be inflated. This study explores the impact of measurement error on comparing predictors when one is measured with error, followed by…
Descriptors: Error of Measurement, Statistical Bias, Multiple Regression Analysis, Predictor Variables
Robie, Chet; Meade, Adam W.; Risavy, Stephen D.; Rasheed, Sabah – Educational and Psychological Measurement, 2022
The effects of different response option orders on survey responses have been studied extensively. The typical research design involves examining the differences in response characteristics between conditions with the same item stems and response option orders that differ in valence--either incrementally arranged (e.g., strongly disagree to…
Descriptors: Likert Scales, Psychometrics, Surveys, Responses
No, Unkyung; Hong, Sehee – Educational and Psychological Measurement, 2018
The purpose of the present study is to compare performances of mixture modeling approaches (i.e., one-step approach, three-step maximum-likelihood approach, three-step BCH approach, and LTB approach) based on diverse sample size conditions. To carry out this research, two simulation studies were conducted with two different models, a latent class…
Descriptors: Sample Size, Classification, Comparative Analysis, Statistical Analysis
Cain, Meghan K.; Zhang, Zhiyong; Bergeman, C. S. – Educational and Psychological Measurement, 2018
This article serves as a practical guide to mediation design and analysis by evaluating the ability of mediation models to detect a significant mediation effect using limited data. The cross-sectional mediation model, which has been shown to be biased when the mediation is happening over time, is compared with longitudinal mediation models:…
Descriptors: Mediation Theory, Case Studies, Longitudinal Studies, Measurement Techniques
Hamby, Tyler; Taylor, Wyn – Educational and Psychological Measurement, 2016
This study examined the predictors and psychometric outcomes of survey satisficing, wherein respondents provide quick, "good enough" answers (satisficing) rather than carefully considered answers (optimizing). We administered surveys to university students and respondents--half of whom held college degrees--from a for-pay survey website,…
Descriptors: Surveys, Test Reliability, Test Validity, Comparative Analysis
Aydin, Burak; Leite, Walter L.; Algina, James – Educational and Psychological Measurement, 2016
We investigated methods of including covariates in two-level models for cluster randomized trials to increase power to detect the treatment effect. We compared multilevel models that included either an observed cluster mean or a latent cluster mean as a covariate, as well as the effect of including Level 1 deviation scores in the model. A Monte…
Descriptors: Error of Measurement, Predictor Variables, Randomized Controlled Trials, Experimental Groups
Paulhus, Delroy L.; Dubois, Patrick J. – Educational and Psychological Measurement, 2014
The overclaiming technique is a novel assessment procedure that uses signal detection analysis to generate indices of knowledge accuracy (OC-accuracy) and self-enhancement (OC-bias). The technique has previously shown robustness over varied knowledge domains as well as low reactivity across administration contexts. Here we compared the OC-accuracy…
Descriptors: Educational Assessment, Knowledge Level, Accuracy, Cognitive Ability

Damm, Vernon J. – Educational and Psychological Measurement, 1972
Descriptors: Comparative Analysis, Measurement Instruments, Predictor Variables, Rating Scales
Li, Andrew; Bagger, Jessica – Educational and Psychological Measurement, 2007
The Balanced Inventory of Desirable Responding (BIDR) is one of the most widely used social desirability scales. The authors conducted a reliability generalization study to examine the typical reliability coefficients of BIDR scores and explored factors that explained the variability of reliability estimates across studies. The results indicated…
Descriptors: Reliability, Generalization, Social Desirability, Scores
Finch, W. Holmes; Schneider, Mercedes K. – Educational and Psychological Measurement, 2006
This study compares the classification accuracy of linear discriminant analysis (LDA), quadratic discriminant analysis (QDA), logistic regression (LR), and classification and regression trees (CART) under a variety of data conditions. Past research has generally found comparable performance of LDA and LR, with relatively less research on QDA and…
Descriptors: Classification, Sample Size, Effect Size, Discriminant Analysis

Halpin, Gerald; And Others – Educational and Psychological Measurement, 1981
The incremental effectiveness over high school grade point average alone of the American College Testing Program, the Scholastic Aptitude Test, and the California Achievement Tests in predicting college freshmen grade point average was compared. The incremental predictive efficiency was nearly the same for each, resulting in an 18.47 percent…
Descriptors: Achievement Tests, College Entrance Examinations, College Freshmen, Comparative Analysis

Parshall, Cynthia G.; Kromrey, Jeffrey D. – Educational and Psychological Measurement, 1996
Power and Type I error rates were estimated for contingency tables with small sample sizes for the following four types of tests: (1) Pearson's chi-square; (2) chi-square with Yates's continuity correction; (3) the likelihood ratio test; and (4) Fisher's Exact Test. Various marginal distributions, sample sizes, and effect sizes were examined. (SLD)
Descriptors: Chi Square, Comparative Analysis, Effect Size, Estimation (Mathematics)

Chissom, Brad S.; And Others – Educational and Psychological Measurement, 1972
Factors seem to indicate that the OQS could be effectively substituted for the NTE as a screening measure for graduate students in education. The D-48 was not added to the prediction equation, since it made a negligible contribution to the total prediction. (Authors/CB)
Descriptors: Comparative Analysis, Education Majors, Graduate Students, Measurement Instruments

Claudy, John G. – Educational and Psychological Measurement, 1972
First purpose of this study was to investigate empirically the accuracy of prediction using regression weights selected through the use of variance-reduction procedures. (Author)
Descriptors: Comparative Analysis, Error Patterns, Factor Structure, Item Sampling
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