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Mangino, Anthony A.; Bolin, Jocelyn H.; Finch, W. Holmes – Educational and Psychological Measurement, 2023
This study seeks to compare fixed and mixed effects models for the purposes of predictive classification in the presence of multilevel data. The first part of the study utilizes a Monte Carlo simulation to compare fixed and mixed effects logistic regression and random forests. An applied examination of the prediction of student retention in the…
Descriptors: Prediction, Classification, Monte Carlo Methods, Foreign Countries
Xiao, Leifeng; Hau, Kit-Tai – Educational and Psychological Measurement, 2023
We examined the performance of coefficient alpha and its potential competitors (ordinal alpha, omega total, Revelle's omega total [omega RT], omega hierarchical [omega h], greatest lower bound [GLB], and coefficient "H") with continuous and discrete data having different types of non-normality. Results showed the estimation bias was…
Descriptors: Statistical Bias, Statistical Analysis, Likert Scales, Statistical Distributions
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
Stoevenbelt, Andrea H.; Wicherts, Jelte M.; Flore, Paulette C.; Phillips, Lorraine A. T.; Pietschnig, Jakob; Verschuere, Bruno; Voracek, Martin; Schwabe, Inga – Educational and Psychological Measurement, 2023
When cognitive and educational tests are administered under time limits, tests may become speeded and this may affect the reliability and validity of the resulting test scores. Prior research has shown that time limits may create or enlarge gender gaps in cognitive and academic testing. On average, women complete fewer items than men when a test…
Descriptors: Timed Tests, Gender Differences, Item Response Theory, Correlation
Johnson, Wendy; Deary, Ian J.; Bouchard, Thomas J., Jr. – Educational and Psychological Measurement, 2018
Most study samples show less variability in key variables than do their source populations due most often to indirect selection into study participation associated with a wide range of personal and circumstantial characteristics. Formulas exist to correct the distortions of population-level correlations created. Formula accuracy has been tested…
Descriptors: Correlation, Sampling, Statistical Distributions, Accuracy
Luo, Yong; Dimitrov, Dimiter M. – Educational and Psychological Measurement, 2019
Plausible values can be used to either estimate population-level statistics or compute point estimates of latent variables. While it is well known that five plausible values are usually sufficient for accurate estimation of population-level statistics in large-scale surveys, the minimum number of plausible values needed to obtain accurate latent…
Descriptors: Item Response Theory, Monte Carlo Methods, Markov Processes, Outcome Measures
Wang, Yan; Kim, Eun Sook; Dedrick, Robert F.; Ferron, John M.; Tan, Tony – Educational and Psychological Measurement, 2018
Wording effects associated with positively and negatively worded items have been found in many scales. Such effects may threaten construct validity and introduce systematic bias in the interpretation of results. A variety of models have been applied to address wording effects, such as the correlated uniqueness model and the correlated traits and…
Descriptors: Test Items, Test Format, Correlation, Construct Validity
von Eye, Alexander; Wiedermann, Wolfgang – Educational and Psychological Measurement, 2014
Approaches to determining direction of dependence in nonexperimental data are based on the relation between higher-than second-order moments on one side and correlation and regression models on the other. These approaches have experienced rapid development and are being applied in contexts such as research on partner violence, attention deficit…
Descriptors: Statistical Analysis, Factor Analysis, Structural Equation Models, Correlation
Kam, Chester Chun Seng; Zhou, Mingming – Educational and Psychological Measurement, 2015
Previous research has found the effects of acquiescence to be generally consistent across item "aggregates" within a single survey (i.e., essential tau-equivalence), but it is unknown whether this phenomenon is consistent at the" individual item" level. This article evaluated the often assumed but inadequately tested…
Descriptors: Test Items, Surveys, Criteria, Correlation
Wetzel, Eunike; Xu, Xueli; von Davier, Matthias – Educational and Psychological Measurement, 2015
In large-scale educational surveys, a latent regression model is used to compensate for the shortage of cognitive information. Conventionally, the covariates in the latent regression model are principal components extracted from background data. This operational method has several important disadvantages, such as the handling of missing data and…
Descriptors: Surveys, Regression (Statistics), Models, Research Methodology
Curseu, Petru Lucian; Schruijer, Sandra G. L. – Educational and Psychological Measurement, 2012
This study investigates the relationship between the five decision-making styles evaluated by the General Decision-Making Style Inventory, indecisiveness, and rationality in decision making. Using a sample of 102 middle-level managers, the results show that the rational style positively predicts rationality in decision making and negatively…
Descriptors: Decision Making, Measures (Individuals), Predictive Validity, Middle Management
Pohl, Steffi; Gräfe, Linda; Rose, Norman – Educational and Psychological Measurement, 2014
Data from competence tests usually show a number of missing responses on test items due to both omitted and not-reached items. Different approaches for dealing with missing responses exist, and there are no clear guidelines on which of those to use. While classical approaches rely on an ignorable missing data mechanism, the most recently developed…
Descriptors: Test Items, Achievement Tests, Item Response Theory, Models
Zhang, Xijuan; Savalei, Victoria – Educational and Psychological Measurement, 2016
Many psychological scales written in the Likert format include reverse worded (RW) items in order to control acquiescence bias. However, studies have shown that RW items often contaminate the factor structure of the scale by creating one or more method factors. The present study examines an alternative scale format, called the Expanded format,…
Descriptors: Factor Structure, Psychological Testing, Alternative Assessment, Test Items
Dumenci, Levent; Yates, Phillip D. – Educational and Psychological Measurement, 2012
Estimation problems associated with the correlated-trait correlated-method (CTCM) parameterization of a multitrait-multimethod (MTMM) matrix are widely documented: the model often fails to converge; even when convergence is achieved, one or more of the parameter estimates are outside the admissible parameter space. In this study, the authors…
Descriptors: Correlation, Models, Multitrait Multimethod Techniques, Matrices
Reckase, Mark D.; Xu, Jing-Ru – Educational and Psychological Measurement, 2015
How to compute and report subscores for a test that was originally designed for reporting scores on a unidimensional scale has been a topic of interest in recent years. In the research reported here, we describe an application of multidimensional item response theory to identify a subscore structure in a test designed for reporting results using a…
Descriptors: English, Language Skills, English Language Learners, Scores