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Wind, Stefanie A. – Educational and Psychological Measurement, 2022
Researchers frequently use Mokken scale analysis (MSA), which is a nonparametric approach to item response theory, when they have relatively small samples of examinees. Researchers have provided some guidance regarding the minimum sample size for applications of MSA under various conditions. However, these studies have not focused on item-level…
Descriptors: Nonparametric Statistics, Item Response Theory, Sample Size, Test Items
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Ranger, Jochen; Brauer, Kay – Journal of Educational and Behavioral Statistics, 2022
The generalized S-X[superscript 2]-test is a test of item fit for items with polytomous responses format. The test is based on a comparison of the observed and expected number of responses in strata defined by the test score. In this article, we make four contributions. We demonstrate that the performance of the generalized S-X[superscript 2]-test…
Descriptors: Goodness of Fit, Test Items, Statistical Analysis, Item Response Theory
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Spataro, Pietro; Mulligan, Neil W.; Cestari, Vincenzo; Santirocchi, Alessandro; Saraulli, Daniele; Rossi-Arnaud, Clelia – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
In the Attentional Boost Effect (ABE), words or images encoded with to-be-detected target squares are later recognized better than words or images encoded with to-be-ignored distractor squares. The present study sought to determine whether the ABE enhanced the encoding of the item-specific and relational properties of the studied words by using…
Descriptors: Attention, Memory, Multiple Choice Tests, Recall (Psychology)
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Joo, Seang-Hwane; Lee, Philseok – Journal of Educational Measurement, 2022
Abstract This study proposes a new Bayesian differential item functioning (DIF) detection method using posterior predictive model checking (PPMC). Item fit measures including infit, outfit, observed score distribution (OSD), and Q1 were considered as discrepancy statistics for the PPMC DIF methods. The performance of the PPMC DIF method was…
Descriptors: Test Items, Bayesian Statistics, Monte Carlo Methods, Prediction
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Svicher, Andrea; Gori, Alessio; Di Fabio, Annamaria – Australian Journal of Career Development, 2022
The present study examined the Italian version of the Work as Meaning Inventory and Work as Meaning Inventory for University students through a network perspective. Network analysis was applied to 505 Italian workers assessed via the Work as Meaning Inventory and 214 Italian university students assessed via the Work as Meaning Inventory for…
Descriptors: Foreign Countries, Employees, College Students, Network Analysis
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Guo, Hongwen; Lu, Ru; Johnson, Matthew S.; McCaffrey, Dan F. – ETS Research Report Series, 2022
It is desirable for an educational assessment to be constructed of items that can differentiate different performance levels of test takers, and thus it is important to estimate accurately the item discrimination parameters in either classical test theory or item response theory. It is particularly challenging to do so when the sample sizes are…
Descriptors: Test Items, Item Response Theory, Item Analysis, Educational Assessment
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Kunz, Tanja; Meitinger, Katharina – Field Methods, 2022
Although list-style open-ended questions generally help us gain deeper insights into respondents' thoughts, opinions, and behaviors, the quality of responses is often compromised. We tested a dynamic and a follow-up design to motivate respondents to give higher quality responses than with a static design, but without overburdening them. Our…
Descriptors: Online Surveys, Item Response Theory, Test Items, Test Format
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Wang, Weimeng; Liu, Yang; Liu, Hongyun – Journal of Educational and Behavioral Statistics, 2022
Differential item functioning (DIF) occurs when the probability of endorsing an item differs across groups for individuals with the same latent trait level. The presence of DIF items may jeopardize the validity of an instrument; therefore, it is crucial to identify DIF items in routine operations of educational assessment. While DIF detection…
Descriptors: Test Bias, Test Items, Equated Scores, Regression (Statistics)
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Demir, Seda – Journal of Educational Technology and Online Learning, 2022
The purpose of this research was to evaluate the effect of item pool and selection algorithms on computerized classification testing (CCT) performance in terms of some classification evaluation metrics. For this purpose, 1000 examinees' response patterns using the R package were generated and eight item pools with 150, 300, 450, and 600 items…
Descriptors: Test Items, Item Banks, Mathematics, Computer Assisted Testing
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Aybek, Eren Can; Toraman, Cetin – International Journal of Assessment Tools in Education, 2022
The current study investigates the optimum number of response categories for the Likert type of scales under the item response theory (IRT). The data was collected from university students attend to mainly the faculty of medicine and the faculty of education. A form of the "Social Gender Equity Scale" developed by Gozutok et al. (2017)…
Descriptors: Likert Scales, Item Response Theory, College Students, Test Reliability
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Cuhadar, Ismail – Measurement: Interdisciplinary Research and Perspectives, 2022
In practice, some test items may display misfit at the upper-asymptote of item characteristic curve due to distraction, anxiety, or carelessness by the test takers (i.e., the slipping effect). The conventional item response theory (IRT) models do not take the slipping effect into consideration, which may violate the model fit assumption in IRT.…
Descriptors: Sample Size, Item Response Theory, Test Items, Mathematical Models
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Grace C. Tetschner; Sachin Nedungadi – Chemistry Education Research and Practice, 2025
Many undergraduate chemistry students hold alternate conceptions related to resonance--an important and fundamental topic of organic chemistry. To help address these alternate conceptions, an organic chemistry instructor could administer the resonance concept inventory (RCI), which is a multiple-choice assessment that was designed to identify…
Descriptors: Scientific Concepts, Concept Formation, Item Response Theory, Scores
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Gilber Chura-Quispe; Cristina Beatriz Flores-Rosado; Alex Alfredo Valenzuela-Romero; Enlil Iván Herrera-Pérez; Avenilda Eufemia Herrera-Chura; Mercedes Alejandrina Collazos Alarcón – Contemporary Educational Technology, 2025
Information literacy is a fundamental component in the academic development of future professionals. The aim of the study was to evaluate the metric properties of the 'questionnaire of self-perceived information competences', analyzing the factorial structure, internal consistency, convergent validity, factorial invariance according to gender and…
Descriptors: Information Literacy, College Students, Student Attitudes, Foreign Countries
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Pramudya Wahyu Pradana; Supahar – Knowledge Management & E-Learning, 2025
Sound waves are one of the important topics studied in physics. However, students' graph representation is still low, leading to their low concept understanding of physics learning. Therefore, it is necessary to optimize the learning process to improve students' graph representation by providing a valid and reliable graph representation test…
Descriptors: Graphs, Acoustics, Physics, Science Tests
Gerald Tindal; Cengiz Zopluoglu; Aaron Glasgow; James Llewellyn – Behavioral Research and Teaching, 2025
This technical report describes the entire development process for all mathematics items and tests used in CBMSkills. A brief introduction highlights the purpose of the assessment system, noting their important relationship with easyCBM. Given the items are designed to provide teachers diagnostic information on students' specific skills within…
Descriptors: Test Construction, Test Items, Mathematics Tests, Item Analysis
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