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Peer reviewed
Download full textHoward, Jeffrey N. – Practical Assessment, Research & Evaluation, 2022
The Student Evaluation of Teaching (SET) instrument provides insight for instructors and administrators alike, often touting high response-rates to endorse their validity and reliability. However, response-rate alone omits consideration for "adequate quantity of 'observational sampling opportunity' (OSO) data points" (e.g., high student…
Descriptors: Student Evaluation of Teacher Performance, Validity, Reliability, Longitudinal Studies
Direct linkDu, Han; Enders, Craig; Keller, Brian; Bradbury, Thomas N.; Karney, Benjamin R. – Grantee Submission, 2022
Missing data are exceedingly common across a variety of disciplines, such as educational, social, and behavioral science areas. Missing not at random (MNAR) mechanism where missingness is related to unobserved data is widespread in real data and has detrimental consequence. However, the existing MNAR-based methods have potential problems such as…
Descriptors: Bayesian Statistics, Data Analysis, Computer Simulation, Sample Size
Wang, Qian – ProQuest LLC, 2022
Over the last four decades, meta-analysis has proven to be a vital analysis strategy in educational research for synthesizing research findings from different studies. When synthesizing studies in a meta-analysis, it is common to assume that the true underlying effect varies from study to study, as studies will differ in design, participants,…
Descriptors: Meta Analysis, Educational Research, Maximum Likelihood Statistics, Statistical Bias
Jin, Kuan-Yu; Eckes, Thomas – Measurement: Interdisciplinary Research and Perspectives, 2022
Recent research on rater effects in performance assessments has increasingly focused on rater centrality, the tendency to assign scores clustering around the rating scale's middle categories. In the present paper, we adopted Jin and Wang's (2018) extended facets modeling approach and constructed a centrality continuum, ranging from raters…
Descriptors: Performance Based Assessment, Evaluators, Scoring, Sample Size
Sahin Kursad, Merve; Cokluk Bokeoglu, Omay; Cikrikci, Rahime Nukhet – International Journal of Assessment Tools in Education, 2022
Item parameter drift (IPD) is the systematic differentiation of parameter values of items over time due to various reasons. If it occurs in computer adaptive tests (CAT), it causes errors in the estimation of item and ability parameters. Identification of the underlying conditions of this situation in CAT is important for estimating item and…
Descriptors: Item Analysis, Computer Assisted Testing, Test Items, Error of Measurement
Ben Stenhaug; Ben Domingue – Grantee Submission, 2022
The fit of an item response model is typically conceptualized as whether a given model could have generated the data. We advocate for an alternative view of fit, "predictive fit", based on the model's ability to predict new data. We derive two predictive fit metrics for item response models that assess how well an estimated item response…
Descriptors: Goodness of Fit, Item Response Theory, Prediction, Models
Eunsook Kim; Diep Nguyen; Siyu Liu; Yan Wang – Structural Equation Modeling: A Multidisciplinary Journal, 2022
Factor mixture modeling (FMM) is generally complex with both unobserved categorical and unobserved continuous variables. We explore the potential of item parceling to reduce the model complexity of FMM and improve convergence and class enumeration accordingly. To this end, we conduct Monte Carlo simulations with three types of data, continuous,…
Descriptors: Structural Equation Models, Factor Analysis, Factor Structure, Monte Carlo Methods
Erford, Bradley T.; Chang, Catherine Y.; Crockett, Stephanie A.; Byrd, Rebekah; Johnsen, Sarah T.; MacInerney, Erin K.; Menzies, Alyson; Milowsky, Andrew I.; Saks, Jordana; Wills, LeAnn; Zhang, Xi; Alder, Candice; Anderson, Billie; Barstack, Samantha; Bradford, Emily; Choi, Jennifer; Cummings, Jenna A.; Fuller, Alexandra; Gayowsky, Jennifer; Gonsalves, Gala; Haffner, Alyson M.; Hinkle, Daniel G.; Johnsen, K. Britt; Johnson, Arden; Katrak, Karishma K.; Kepley, Leah; Kwag, Daun; Mehlhouse, Kaitlyn; Melanson, Marcella; Miller, Madison K.; Muller, Lauren A.; Olson, Emily S.; Pesavento, Alyssa R.; Rippeto, Margaret; Stewart, Elizabeth; Siegler, Emily; Stafford, Carly; Clair, Anne M. St.; Sylvester, Anne-Marie; Villette, Lexa; Watson, Kristin; Wary, Samantha; West, Caroline; Williams, Dorrie; Yu, Candice – Measurement and Evaluation in Counseling and Development, 2023
Articles published in 22 counseling journals from 2010-2019 were compared on 26 author and article characteristics. Women now constitute majorities of authorship and counseling journals are publishing larger proportions of research articles, 63% of which used quantitative approaches and about 11% of which studied counseling interventions.
Descriptors: Scholarship, Journal Articles, Periodicals, Authors
Benjamin Lu; Eli Ben-Michael; Avi Feller; Luke Miratrix – Journal of Educational and Behavioral Statistics, 2023
In multisite trials, learning about treatment effect variation across sites is critical for understanding where and for whom a program works. Unadjusted comparisons, however, capture "compositional" differences in the distributions of unit-level features as well as "contextual" differences in site-level features, including…
Descriptors: Statistical Analysis, Statistical Distributions, Program Implementation, Comparative Analysis
Frances R. Levin; John J. Mariani; Martina Pavlicova; C. Jean Choi; Cale Basaraba; Amy L. Mahony; Daniel J. Brooks; Christina A. Brezing; Nasir Naqvi – Journal of Attention Disorders, 2024
Objective: To determine if treatment of co-occurring adult ADHD and Cannabis Use Disorder (CUD) with extended-release mixed amphetamine salts (MAS-ER) would be effective at improving ADHD symptoms and promoting abstinence. Method: A 12-week randomized, double-blind, two-arm pilot feasibility trial of adults with comorbid ADHD and CUD (n = 28)…
Descriptors: Comorbidity, Attention Deficit Hyperactivity Disorder, Marijuana, Drug Abuse
Norouzian, Reza – Studies in Second Language Acquisition, 2020
Researchers are traditionally advised to plan for their required sample size such that achieving a sufficient level of statistical power is ensured (Cohen, 1988). While this method helps distinguishing statistically significant effects from the nonsignificant ones, it does not help achieving the higher goal of accurately estimating the actual size…
Descriptors: Sample Size, Planning, Language Research, Second Language Learning
Liu, Chunyan; Kolen, Michael J. – Journal of Educational Measurement, 2020
Smoothing is designed to yield smoother equating results that can reduce random equating error without introducing very much systematic error. The main objective of this study is to propose a new statistic and to compare its performance to the performance of the Akaike information criterion and likelihood ratio chi-square difference statistics in…
Descriptors: Equated Scores, Statistical Analysis, Error of Measurement, Criteria
Talan, Tarik – International Journal of Technology in Education and Science, 2021
In this study, it was aimed to investigate the experimental studies regarding the effect of educational robotic applications on academic achievement by the meta-analysis method. Within the scope of the research, the studies carried out on educational robotic applications were scanned from national and international databases and selected according…
Descriptors: Instructional Effectiveness, Educational Technology, Technology Integration, Robotics
Schulte, Niklas; Holling, Heinz; Bürkner, Paul-Christian – Educational and Psychological Measurement, 2021
Forced-choice questionnaires can prevent faking and other response biases typically associated with rating scales. However, the derived trait scores are often unreliable and ipsative, making interindividual comparisons in high-stakes situations impossible. Several studies suggest that these problems vanish if the number of measured traits is high.…
Descriptors: Questionnaires, Measurement Techniques, Test Format, Scoring
Qian, Jiahe; Gu, Lixiong; Li, Shuhong – ETS Research Report Series, 2019
In assembling testlets (i.e., test forms) with a pool of new and used item blocks, test security is one of the main issues of concern. Strict constraints are often imposed on repeated usage of the same item blocks. Nevertheless, for an assessment administering multiple testlets, a goal is to select as large a sample of testlets as possible. In…
Descriptors: Test Construction, Sampling, Test Items, Mathematics
