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He, Qingping; Meadows, Michelle; Black, Beth – Research Papers in Education, 2022
A potential negative consequence of high-stakes testing is inappropriate test behaviour involving individuals and/or institutions. Inappropriate test behaviour and test collusion can result in aberrant response patterns and anomalous test scores and invalidate the intended interpretation and use of test results. A variety of statistical techniques…
Descriptors: Statistical Analysis, High Stakes Tests, Scores, Response Style (Tests)
Henry, Meredith A.; Shorter, Shayla; Charkoudian, Louise K.; Heemstra, Jennifer M.; Le, Benjamin; Corwin, Lisa A. – International Journal of STEM Education, 2022
Background: As technology moves rapidly forward and our world becomes more interconnected, we are seeing increases in the complexity and challenge associated with scientific problems. More than ever before, scientists will need to be resilient and able to cope with challenges and failures en route to success. However, we still understand…
Descriptors: STEM Education, Undergraduate Students, Coping, Resilience (Psychology)
Robitzsch, Alexander; Lüdtke, Oliver – Journal of Educational and Behavioral Statistics, 2022
One of the primary goals of international large-scale assessments in education is the comparison of country means in student achievement. This article introduces a framework for discussing differential item functioning (DIF) for such mean comparisons. We compare three different linking methods: concurrent scaling based on full invariance,…
Descriptors: Test Bias, International Assessment, Scaling, Comparative Analysis
Jafri, Mairaj – Waikato Journal of Education, 2022
This paper reports how I addressed the issue of extensive missing values in my PhD study, "Digital Competencies of High School Mathematics Teachers". I collected data using an online survey. Several methods exist to address the issue of missing values. I utilised multiple imputation (MI) as it provides more accurate results. The mean…
Descriptors: Data Collection, Research Problems, Doctoral Dissertations, Online Surveys
Che Lah, Noor Hidayah; Tasir, Zaidatun; Jumaat, Nurul Farhana – SAGE Open, 2022
One of the questionnaires that will be used to evaluate social learning environments such as Facebook is the Online Social Learning Environment Instrument (OSLEI). The aim of this study was to evaluate the OSLEI using alternative method of analysis via Rasch model toward 49 undergraduate students in Malaysia. To date, no study has evaluated the…
Descriptors: Electronic Learning, Educational Environment, Social Media, Undergraduate Students
Domingue, Benjamin W.; Kanopka, Klint; Stenhaug, Ben; Sulik, Michael J.; Beverly, Tanesia; Brinkhuis, Matthieu; Circi, Ruhan; Faul, Jessica; Liao, Dandan; McCandliss, Bruce; Obradovic, Jelena; Piech, Chris; Porter, Tenelle; Soland, James; Weeks, Jon; Wise, Steven L.; Yeatman, Jason – Journal of Educational and Behavioral Statistics, 2022
The speed-accuracy trade-off (SAT) suggests that time constraints reduce response accuracy. Its relevance in observational settings--where response time (RT) may not be constrained but respondent speed may still vary--is unclear. Using 29 data sets containing data from cognitive tasks, we use a flexible method for identification of the SAT (which…
Descriptors: Accuracy, Reaction Time, Task Analysis, College Entrance Examinations
Vucaj, Indrit – Journal of Research on Technology in Education, 2022
This study presents the methodological and procedural development process of the Digital Age Teaching Scale (DATS), a summative assessment tool designed to measure application of the ISTE Standards for Educators in K-12 classrooms. The theoretical framework of the ISTE Standards for Educators informed the development of DATS, and an 8-step process…
Descriptors: Elementary Secondary Education, Standards, Test Construction, Test Items
Rosa, Claudio D.; Collado, Silvia; Larson, Lincoln R. – Journal of Environmental Education, 2022
The New Ecological Paradigm (NEP) scale adapted for use with children (NEP-C) is one of the most frequently used measures of children's environmental beliefs. Though widely utilized, the limitations of the NEP-C instrument are often overlooked. Based on a systematic synthesis of existing literature examining the NEP-C, we argue that the scale…
Descriptors: Attitude Measures, Children, Environment, Beliefs
Erdem-Kara, Basak; Dogan, Nuri – International Journal of Assessment Tools in Education, 2022
Recently, adaptive test approaches have become a viable alternative to traditional fixed-item tests. The main advantage of adaptive tests is that they reach desired measurement precision with fewer items. However, fewer items mean that each item has a more significant effect on ability estimation and therefore those tests are open to more…
Descriptors: Item Analysis, Computer Assisted Testing, Test Items, Test Construction
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
Leventhal, Brian C.; Gregg, Nikole; Ames, Allison J. – Measurement: Interdisciplinary Research and Perspectives, 2022
Response styles introduce construct-irrelevant variance as a result of respondents systematically responding to Likert-type items regardless of content. Methods to account for response styles through data analysis as well as approaches to mitigating the effects of response styles during data collection have been well-documented. Recent approaches…
Descriptors: Response Style (Tests), Item Response Theory, Test Items, Likert Scales
Davison, Mark L.; Davenport, Ernest C., Jr.; Jia, Hao; Seipel, Ben; Carlson, Sarah E. – Grantee Submission, 2022
A regression model of predictor trade-offs is described. Each regression parameter equals the expected change in Y obtained by trading 1 point from one predictor to a second predictor. The model applies to predictor variables that sum to a constant T for all observations; for example, proportions summing to T=1.0 or percentages summing to T=100…
Descriptors: Regression (Statistics), Prediction, Predictor Variables, Models
Carol Eckerly; Yue Jia; Paul Jewsbury – ETS Research Report Series, 2022
Testing programs have explored the use of technology-enhanced items alongside traditional item types (e.g., multiple-choice and constructed-response items) as measurement evidence of latent constructs modeled with item response theory (IRT). In this report, we discuss considerations in applying IRT models to a particular type of adaptive testlet…
Descriptors: Computer Assisted Testing, Test Items, Item Response Theory, Scoring
Owen Henkel; Hannah Horne-Robinson; Maria Dyshel; Greg Thompson; Ralph Abboud; Nabil Al Nahin Ch; Baptiste Moreau-Pernet; Kirk Vanacore – Journal of Learning Analytics, 2025
This paper introduces AMMORE, a new dataset of 53,000 math open-response question-answer pairs from Rori, a mathematics learning platform used by middle and high school students in several African countries. Using this dataset, we conducted two experiments to evaluate the use of large language models (LLM) for grading particularly challenging…
Descriptors: Learning Analytics, Learning Management Systems, Mathematics Instruction, Middle School Students
Kristin Kellar; Paula Heron – Physical Review Physics Education Research, 2025
Dual-process theories of reasoning suggest that humans reason using two processes often referred to as process 1 (heuristic) and process 2 (analytic). When presented with a situation requiring any sort of reasoning or decision making, process 1 automatically engages and generates an initial mental model to address the situation. Process 2 may or…
Descriptors: Physics, Science Education, Thinking Skills, Concept Formation

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