A practical guide to item bank calibration with multiple matrix sampling
International Journal of Assessment Tools in EducationWhen it is required to estimate item parameters of a large item bank, Multiple Matrix Sampling (MMS) design provides an efficient way while minimizing the test burden on students. The current study exemplifies how to calibrate a large item pool using MMS
Güneş Ertaş +2 more
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ANALISIS RESPONS BUTIR PADA TES BAKAT SKOLASTIK
Jurnal Psikologi Undip, 2018 This study aims to analyze the characteristics of the Scholastic Aptitude Test (SAT), consisting of both verbal and numerical subtests. We used a descriptive quantitative approach by describing the characteristics of SAT based on the degree of item ...
Farida Agus Setiawati +2 more
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The Uniform Prior for Bayesian Estimation of Ability in Item Response Theory Models
International Journal of Assessment Tools in Education, 2020 ItemResponse Theory (IRT) models traditionally assume a normal distribution forability. Although normality is often a reasonable assumption for ability, it israrely met for observed scores in educational and psychological measurement.Assumptions ...
Tuğba Karadavut
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Statistical inference for the penalized EM algorithm to test differential item functioning [PDF]
arXiv, 2023 Recent advancements in testing differential item functioning (DIF) have greatly relaxed restrictions made by the conventional multiple group item response theory (IRT) model with respect to the number of grouping variables and the assumption of predefined DIF-free anchor items.
arxiv
Validation of Subjective Well-Being Measures Using Item Response Theory
Frontiers in Psychology, 2020 Background: Subjective well-being refers to the extent to which a person believes or feels that her life is going well. It is considered as one of the best available proxies for a broader, more canonical form of well-being.
Ali Al Nima +9 more
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Processing of Test Matrices with Guessing Correction [PDF]
arXiv, 2006 It is suggested to insert into test matrix 1s for correct responses, 0s for response refusals, and negative corrective elements for incorrect responses. With the classical test theory approach test scores of examinees and items are calculated traditionally as sums of matrix elements, organized in rows and columns. Correlation coefficients are estimated
arxiv
A Nonparametric Bayesian Item Response Modeling Approach for Clustering Items and Individuals Simultaneously [PDF]
arXiv, 2020 Item response theory (IRT) is a popular modeling paradigm for measuring subject latent traits and item properties according to discrete responses in tests or questionnaires. There are very limited discussions on heterogeneity pattern detection for both items and individuals.
arxiv
A Comparison of Classical Test Theory and Nonparametric Item Response Theory with Respect to the Effects of Testees’ Characteristics on Item Characteristics and vice versa [PDF]
فصلنامه نوآوریهای آموزشی, 2006 This study aimed at comparing Classical Test Theory and Nonparametric Item Response Theory with respect to the effect of testees’ characteristics on item characteristics and vice versa. The research method was of the applied, descriptive type.
Ali delavar +2 more
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Item Quality Control in Educational Testing: Change Point Model, Compound Risk, and Sequential Detection [PDF]
arXiv, 2020 In standardized educational testing, test items are reused in multiple test administrations. To ensure the validity of test scores, the psychometric properties of items should remain unchanged over time. In this paper, we consider the sequential monitoring of test items, in particular, the detection of abrupt changes to their psychometric properties ...
arxiv
An empirical comparison of Item Response Theory and Classical Test Theory [PDF]
Psihološka Obzorja, 2008 Based on nonlinear models between the measured latent variable and the item response, item response theory (IRT) enables independent estimation of item and person parameters and local estimation of measurement error.
Špela Progar, Gregor Sočan
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