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Strunk, Kamden K.; Lane, Forrest C. – Measurement and Evaluation in Counseling and Development, 2017
A common concern about the Beck Depression Inventory, Second edition (BDI-II) among researchers in the area of depression has long been the single-factor scoring scheme. Methods exist for making cross-sample comparisons of latent structure but tend to rely on estimation methods that can be imprecise and unnecessarily complex. This study presents a…
Descriptors: Depression (Psychology), Measures (Individuals), Error of Measurement, Diagnostic Tests
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Kim, Sooyeon; Livingston, Samuel A. – ETS Research Report Series, 2017
The purpose of this simulation study was to assess the accuracy of a classical test theory (CTT)-based procedure for estimating the alternate-forms reliability of scores on a multistage test (MST) having 3 stages. We generated item difficulty and discrimination parameters for 10 parallel, nonoverlapping forms of the complete 3-stage test and…
Descriptors: Accuracy, Test Theory, Test Reliability, Adaptive Testing
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Irby, Sarah M.; Floyd, Randy G. – Psychology in the Schools, 2017
This study examined the exchangeability of total scores (i.e., intelligent quotients [IQs]) from three brief intelligence tests. Tests were administered to 36 children with intellectual giftedness, scored live by one set of primary examiners and later scored by a secondary examiner. For each student, six IQs were calculated, and all 216 values…
Descriptors: Intelligence Tests, Gifted, Error of Measurement, Scores
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Li, Ming; Harring, Jeffrey R. – Educational and Psychological Measurement, 2017
Researchers continue to be interested in efficient, accurate methods of estimating coefficients of covariates in mixture modeling. Including covariates related to the latent class analysis not only may improve the ability of the mixture model to clearly differentiate between subjects but also makes interpretation of latent group membership more…
Descriptors: Simulation, Comparative Analysis, Monte Carlo Methods, Guidelines
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Joo, Seang-hwane; Wang, Yan; Ferron, John M. – AERA Online Paper Repository, 2017
Multiple-baseline studies provide meta-analysts the opportunity to compute effect sizes based on either within-series comparisons of treatment phase to baseline phase observations, or time specific between-series comparisons of observations from those that have started treatment to observations of those that are still in baseline. The advantage of…
Descriptors: Meta Analysis, Effect Size, Hierarchical Linear Modeling, Computation
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Reichle, Erik D.; Drieghe, Denis – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2015
There is an ongoing debate about whether fixation durations during reading are only influenced by the processing difficulty of the words being fixated (i.e., the serial-attention hypothesis) or whether they are also influenced by the processing difficulty of the previous and/or upcoming words (i.e., the attention-gradient hypothesis). This article…
Descriptors: Reading, Eye Movements, Error of Measurement, Difficulty Level
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Debray, Thomas P. A.; Moons, Karel G. M.; Riley, Richard D. – Research Synthesis Methods, 2018
Small-study effects are a common threat in systematic reviews and may indicate publication bias. Their existence is often verified by visual inspection of the funnel plot. Formal tests to assess the presence of funnel plot asymmetry typically estimate the association between the reported effect size and their standard error, the total sample size,…
Descriptors: Meta Analysis, Comparative Analysis, Publications, Bias
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Lowe, Patricia A. – Higher Education Studies, 2018
A measurement invariance study was conducted among 1,344 college students from Canada and the United States on an anxiety measure specifically designed for the college student population to determine whether the construct of anxiety was equivalent across country (Canada, United States) and gender. In addition, country and gender differences were…
Descriptors: Cultural Differences, Gender Differences, Cross Cultural Studies, Anxiety
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de Biagi, Natália B.; Celeri, Eloisa H. R. V.; Renshaw, Tyler L. – Journal of Psychoeducational Assessment, 2018
The present study reports on the technical adequacy of a cultural adaptation of the Teacher Subjective Wellbeing Questionnaire (TSWQ) with a sample of Brazilian educators (n = 268). Responses to a Brazilian Portuguese version of the TSWQ (TSWQ-BP) indicated a sound two-factor measurement model as well as convergent validity with teachers'…
Descriptors: Well Being, Portuguese, Factor Analysis, Scores
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McCoach, D. Betsy; Rifenbark, Graham G.; Newton, Sarah D.; Li, Xiaoran; Kooken, Janice; Yomtov, Dani; Gambino, Anthony J.; Bellara, Aarti – Journal of Educational and Behavioral Statistics, 2018
This study compared five common multilevel software packages via Monte Carlo simulation: HLM 7, M"plus" 7.4, R (lme4 V1.1-12), Stata 14.1, and SAS 9.4 to determine how the programs differ in estimation accuracy and speed, as well as convergence, when modeling multiple randomly varying slopes of different magnitudes. Simulated data…
Descriptors: Hierarchical Linear Modeling, Computer Software, Comparative Analysis, Monte Carlo Methods
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Mastrotheodoros, Stefanos; Pavlopoulos, Vassilis; Motti-Stefanidi, Frosso – European Journal of Developmental Psychology, 2021
The Utrecht-Management of Identity Commitments Scale (U-MICS) is one of the most-commonly used self-report scales to assess personal identity in studies of developmental processes. While it has been translated and validated in many countries around the world, evidence of its applicability in Greek is absent. The purpose of this study was to…
Descriptors: Self Concept Measures, Factor Structure, Self Concept, Developmental Stages
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Dogo, Samson Henry; Clark, Allan; Kulinskaya, Elena – Research Synthesis Methods, 2017
Temporal changes in magnitude of effect sizes reported in many areas of research are a threat to the credibility of the results and conclusions of meta-analysis. Numerous sequential methods for meta-analysis have been proposed to detect changes and monitor trends in effect sizes so that meta-analysis can be updated when necessary and interpreted…
Descriptors: Effect Size, Meta Analysis, Visualization, Error of Measurement
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Szafran, Robert F. – Practical Assessment, Research & Evaluation, 2017
Institutional assessment of student learning objectives has become a fact-of-life in American higher education and the Association of American Colleges and Universities' (AAC&U) VALUE Rubrics have become a widely adopted evaluation and scoring tool for student work. As faculty from a variety of disciplines, some less familiar with the…
Descriptors: Interrater Reliability, Case Studies, Scoring Rubrics, Behavioral Objectives
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Montoye, Alexander H. K.; Mitrzyk, Joe R.; Molesky, Monroe J. – Measurement in Physical Education and Exercise Science, 2017
The purpose of the current study was to determine the accuracy of the Fitbit Charge HR and Hexoskin smart shirt. Participants (n = 32, age: 23.5 ± 1.3 years) wore a Fitbit and Hexoskin while performing 14 activities in a laboratory and on a track (lying, sitting, standing, walking various speeds and inclines, jogging, and cycling). Steps, kcals,…
Descriptors: Measurement Equipment, Physical Activity Level, Measures (Individuals), Exercise Physiology
Wang, Keyin – ProQuest LLC, 2017
The comparison of item-level computerized adaptive testing (CAT) and multistage adaptive testing (MST) has been researched extensively (e.g., Kim & Plake, 1993; Luecht et al., 1996; Patsula, 1999; Jodoin, 2003; Hambleton & Xing, 2006; Keng, 2008; Zheng, 2012). Various CAT and MST designs have been investigated and compared under the same…
Descriptors: Comparative Analysis, Computer Assisted Testing, Adaptive Testing, Test Items
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