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Bal Incebacak, Belgin; Ersoy, Esen – Participatory Educational Research, 2022
This study aims to develop a valid and reliable measuring instrument that can measure the level of mathematical language used by students and their teachers during the teaching of fractions to fourth-grade primary school students. This study is a methodological validity and reliability study. In total, 999 students from fourteen different…
Descriptors: Test Construction, Mathematics Tests, Vocabulary, Mathematics Skills
Marcom, Guilherme Stecca; Villar, Renato Pacheco; Kleinke, Maurício Urban – Physics Education, 2022
Research on problem-solving strategies has been conducted since the 1940s. Experts and novices use different strategies in problem solving; the main difference is in the familiarity with which they face new problems. For multiple-choice problems, an analysis of distractors can provide possible clues about the resolution processes developed by…
Descriptors: Problem Solving, High Stakes Tests, Mechanics (Physics), Physics
Russell, Brian E.; Ciorba, Charles R. – International Journal of Music Education, 2022
The purpose of this study was to create and validate a measure for jazz theory knowledge assessment. The Jazz Theory Measure (JTM) was created by exploring publications on jazz improvisation instruction and research studies that utilized jazz theory as a significant aspect of the study (i.e., dependent variable, independent variable, data…
Descriptors: Music, Music Education, Music Theory, Knowledge Level
Item Order and Speededness: Implications for Test Fairness in Higher Educational High-Stakes Testing
Becker, Benjamin; van Rijn, Peter; Molenaar, Dylan; Debeer, Dries – Assessment & Evaluation in Higher Education, 2022
A common approach to increase test security in higher educational high-stakes testing is the use of different test forms with identical items but different item orders. The effects of such varied item orders are relatively well studied, but findings have generally been mixed. When multiple test forms with different item orders are used, we argue…
Descriptors: Information Security, High Stakes Tests, Computer Security, Test Items
Marcq, Kseniia; Braeken, Johan – Assessment in Education: Principles, Policy & Practice, 2022
Communication of International Large-Scale Assessment (ILSA) results is dominated by reporting average country achievement scores that conceal individual differences between pupils, schools, and items. Educational research primarily focuses on examining differences between pupils and schools, while differences between items are overlooked. Using a…
Descriptors: Foreign Countries, International Assessment, Achievement Tests, Secondary School Students
Ross, Matthew M.; Wright, A. Michelle – Journal of Education for Business, 2022
We use Markov chain Monte Carlo (MCMC) analysis to construct a three-question math quiz to assess key skills needed for introductory finance. We begin with data collected from a ten-question criterion-referenced math quiz given to 314 undergraduates on the first day of class. MCMC indicates the top three questions for predicting overall course…
Descriptors: Mathematics Tests, Markov Processes, Monte Carlo Methods, Introductory Courses
Gorbett, Luke J.; Chapamn, Kayla E.; Liberatore, Matthew W. – Advances in Engineering Education, 2022
Spreadsheets are a core computational tool for practicing engineers and engineering students. While Microsoft Excel, Google Sheets, and other spreadsheet tools have some differences, numerous formulas, functions, and other tasks are common across versions and platforms. Building upon learning science frameworks showing that interactive activities…
Descriptors: Spreadsheets, Computer Software, Engineering Education, Textbooks
PaaBen, Benjamin; Dywel, Malwina; Fleckenstein, Melanie; Pinkwart, Niels – International Educational Data Mining Society, 2022
Item response theory (IRT) is a popular method to infer student abilities and item difficulties from observed test responses. However, IRT struggles with two challenges: How to map items to skills if multiple skills are present? And how to infer the ability of new students that have not been part of the training data? Inspired by recent advances…
Descriptors: Item Response Theory, Test Items, Item Analysis, Inferences
Sahin, Murat Dogan – International Electronic Journal of Elementary Education, 2020
Advanced Item Response Theory (IRT) practices serve well in understanding the nature of latent variables which have been subject to research in various disciplines. In the current study, 7-12 aged 2536 children's responses to 20- item Visual Sequential Processing Memory (VSPM) sub-test of Anadolu-Sak Intelligence Scale (ASIS) were analyzed with…
Descriptors: Item Response Theory, Memory, Intelligence Tests, Children
Bramley, Tom – Research Matters, 2020
The aim of this study was to compare, by simulation, the accuracy of mapping a cut-score from one test to another by expert judgement (using the Angoff method) versus the accuracy with a small-sample equating method (chained linear equating). As expected, the standard-setting method resulted in more accurate equating when we assumed a higher level…
Descriptors: Cutting Scores, Standard Setting (Scoring), Equated Scores, Accuracy
Komperda, Regis; Hosbein, Kathryn N.; Phillips, Michael M.; Barbera, Jack – Chemistry Education Research and Practice, 2020
The Science Motivation Questionnaire II (SMQ II) was developed to measure aspects of student motivation in college-level science courses. Items on the SMQ II are structured such that the word 'science' can be replaced with any discipline title (e.g., chemistry) to produce a discipline-specific measure of student motivation. Since its original…
Descriptors: Test Construction, Questionnaires, Student Motivation, Science Instruction
Huang, Hung-Yu – Educational and Psychological Measurement, 2020
In educational assessments and achievement tests, test developers and administrators commonly assume that test-takers attempt all test items with full effort and leave no blank responses with unplanned missing values. However, aberrant response behavior--such as performance decline, dropping out beyond a certain point, and skipping certain items…
Descriptors: Item Response Theory, Response Style (Tests), Test Items, Statistical Analysis
Forthmann, Boris; Förster, Natalie; Schütze, Birgit; Hebbecker, Karin; Flessner, Janis; Peters, Martin T.; Souvignier, Elmar – Journal of Intelligence, 2020
Distractors might display discriminatory power with respect to the construct of interest (e.g., intelligence), which was shown in recent applications of nested logit models to the short-form of Raven's progressive matrices and other reasoning tests. In this vein, a simulation study was carried out to examine two effect size measures (i.e., a…
Descriptors: Test Items, Item Analysis, Multiple Choice Tests, Intelligence Tests
Ayanwale, Musa Adekunle; Isaac-Oloniyo, Flourish O.; Abayomi, Funmilayo R. – International Journal of Evaluation and Research in Education, 2020
This study investigated dimensionality of Binary Response Items through a non-parametric technique of Item Response Theory measurement framework. The study used causal comparative research type of nonexperimental design. The sample consisted of 5,076 public senior secondary school examinees (SSS3) between the age of 14-16 years from 45 schools,…
Descriptors: Test Items, Item Response Theory, Bayesian Statistics, Nonparametric Statistics
Perkins, Beth A.; Satkus, Paulius; Finney, Sara J. – Journal of Psychoeducational Assessment, 2020
Few studies have examined the psychometric properties of the test-related items from the Achievement Emotions Questionnaire (AEQ). Using a sample of 955 university students, we examined the factor structure of 12 emotion items measuring test-related anger, boredom, enjoyment, and pride. Results indicated the four emotions were distinct, allowing…
Descriptors: Affective Measures, Questionnaires, Psychometrics, Test Items

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