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Mohammad Mehdi Latifi; Dariush Tahmasebi Aghbelaghi; Sajad Khani Pordanjani – European Journal of Education, 2025
The present study sought to assess the psychometric properties of the Iranian adaptation of the Vietnam Teacher Resilience Scale for Asia (VITRS), referred to as the Iranian Teachers' Resilience Scale (ITRS) and to examine its measurement invariance across middle and high school teachers in Iran. In total, 700 participants completed the…
Descriptors: Resilience (Psychology), Error of Measurement, Factor Analysis, Teacher Attitudes
Avi Feller; Maia C. Connors; Christina Weiland; John Q. Easton; Stacy B. Ehrlich; John Francis; Sarah E. Kabourek; Diana Leyva; Anna Shapiro; Gloria Yeomans-Maldonado – Grantee Submission, 2025
One part of COVID-19's staggering impact on education has been to suspend or fundamentally alter ongoing education research projects. This article addresses how to analyze the simple but fundamental example of a multi-cohort study in which student assessment data for the final cohort are missing because schools were closed, learning was virtual,…
Descriptors: COVID-19, Pandemics, Kindergarten, Preschool Children
Campbell, Harlan; de Jong, Valentijn M. T.; Maxwell, Lauren; Jaenisch, Thomas; Debray, Thomas P. A.; Gustafson, Paul – Research Synthesis Methods, 2021
Ideally, a meta-analysis will summarize data from several unbiased studies. Here we look into the less than ideal situation in which contributing studies may be compromised by non-differential measurement error in the exposure variable. Specifically, we consider a meta-analysis for the association between a continuous outcome variable and one or…
Descriptors: Error of Measurement, Meta Analysis, Bayesian Statistics, Statistical Analysis
Van Lissa, Caspar J.; van Erp, Sara; Clapper, Eli-Boaz – Research Synthesis Methods, 2023
When meta-analyzing heterogeneous bodies of literature, meta-regression can be used to account for potentially relevant between-studies differences. A key challenge is that the number of candidate moderators is often high relative to the number of studies. This introduces risks of overfitting, spurious results, and model non-convergence. To…
Descriptors: Bayesian Statistics, Regression (Statistics), Maximum Likelihood Statistics, Meta Analysis
Practical Considerations in Choosing an Anchor Test Form for Equating under the Random Groups Design
Cui, Zhongmin; He, Yong – Measurement: Interdisciplinary Research and Perspectives, 2023
Careful considerations are necessary when there is a need to choose an anchor test form from a list of old test forms for equating under the random groups design. The choice of the anchor form potentially affects the accuracy of equated scores on new test forms. Few guidelines, however, can be found in the literature on choosing the anchor form.…
Descriptors: Test Format, Equated Scores, Best Practices, Test Construction
Do the Numbers Add Up? Questioning Measurement That Places Australian ECEC Teaching as 'Low Quality'
Thorpe, Karen; Houen, Sandy; Rankin, Peter; Pattinson, Cassandra; Staton, Sally – Australian Educational Researcher, 2023
Internationally, standard observational measures of Early Childhood Education and Care (ECEC) are used to assess the quality of provision. They are applied as research tools but, significantly, also guide policy decisions, distribution of resources and public opinion. Considerable faith is placed in such measures, yet their validity, reliability…
Descriptors: Foreign Countries, Educational Quality, Classroom Environment, Measures (Individuals)
Hoek, Lianne; Zijlstra, Bonne J. H.; Munniksma, Anke; Dijkstra, Anne Bert – Journal of Social Science Education, 2023
Purpose: Standardised questionnaires are used to measure the outcomes of citizenship education. These outcomes are often compared across groups to document different outcomes, for example, between boys and girls. A prerequisite for cross-group comparisons is an assessment of measurement invariance. Methodology: This study used data from 6035…
Descriptors: Elementary School Students, Foreign Countries, Measures (Individuals), Error of Measurement
Walter P. Vispoel; Hyeri Hong; Hyeryung Lee; Terrence D. Jorgensen – Applied Measurement in Education, 2023
We illustrate how to analyze complete generalizability theory (GT) designs using structural equation modeling software ("lavaan" in R), compare results to those obtained from numerous ANOVA-based packages, and apply those results in practical ways using data obtained from a large sample of respondents, who completed the Self-Perception…
Descriptors: Generalizability Theory, Design, Structural Equation Models, Error of Measurement
Dan Soriano; Eli Ben-Michael; Peter Bickel; Avi Feller; Samuel D. Pimentel – Grantee Submission, 2023
Assessing sensitivity to unmeasured confounding is an important step in observational studies, which typically estimate effects under the assumption that all confounders are measured. In this paper, we develop a sensitivity analysis framework for balancing weights estimators, an increasingly popular approach that solves an optimization problem to…
Descriptors: Statistical Analysis, Computation, Mathematical Formulas, Monte Carlo Methods
Annie Goerdt; Faith Miller; Danielle Dupuis; Meg Olson – Journal of Psychoeducational Assessment, 2024
School-based universal screening in the social, emotional, and behavioral (SEB) domains allows for the early identification of students in need of SEB support. Importantly, equitable assessment in universal screening for the SEB domains is critical to engage in accurate and ethical data-based decision-making. Measurement invariance is one method…
Descriptors: Error of Measurement, Screening Tests, Student Behavior, Elementary School Students
Rebecca Walcott; Isabelle Cohen; Denise Ferris – Evaluation Review, 2024
When and how to survey potential respondents is often determined by budgetary and external constraints, but choice of survey modality may have enormous implications for data quality. Different survey modalities may be differentially susceptible to measurement error attributable to interviewer assignment, known as interviewer effects. In this…
Descriptors: Surveys, Research Methodology, Error of Measurement, Interviews
Danielle R. Blazek; Jason T. Siegel – International Journal of Social Research Methodology, 2024
Social scientists have long agreed that satisficing behavior increases error and reduces the validity of survey data. There have been numerous reviews on detecting satisficing behavior, but preventing this behavior has received less attention. The current narrative review provides empirically supported guidance on preventing satisficing by…
Descriptors: Response Style (Tests), Responses, Reaction Time, Test Interpretation
Emma Somer; Carl Falk; Milica Miocevic – Structural Equation Modeling: A Multidisciplinary Journal, 2024
Factor Score Regression (FSR) is increasingly employed as an alternative to structural equation modeling (SEM) in small samples. Despite its popularity in psychology, the performance of FSR in multigroup models with small samples remains relatively unknown. The goal of this study was to examine the performance of FSR, namely Croon's correction and…
Descriptors: Scores, Structural Equation Models, Comparative Analysis, Sample Size
Jake C. Steggerda; Sandra Yu Rueger; Ana J. Bridges – Children & Schools, 2024
Authors evaluated the Student Behavior Checklist-Brief (SBC-B) to test whether teacher-reports of student learning approach (i.e., learned helplessness [LH] and mastery orientation [MO]) were invariant across academic subjects. The current sample includes ethnically diverse seventh and eighth grade students (N = 145; 53 percent male) and six teams…
Descriptors: Psychometrics, Student Behavior, Check Lists, Scores
Cornelis Potgieter; Xin Qiao; Akihito Kamata; Yusuf Kara – Grantee Submission, 2024
As part of the effort to develop an improved oral reading fluency (ORF) assessment system, Kara et al. (2020) estimated the ORF scores based on a latent variable psychometric model of accuracy and speed for ORF data via a fully Bayesian approach. This study further investigates likelihood-based estimators for the model-derived ORF scores,…
Descriptors: Oral Reading, Reading Fluency, Scores, Psychometrics

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