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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
Ozberk, Eren Halil; Unsal Ozberk, Elif Bengi; Uluc, Sait; Oktem, Ferhunde – International Journal of Assessment Tools in Education, 2021
The Kaufman Brief Intelligence Test--Second Edition (KBIT-2) is designed to measure verbal and nonverbal abilities in a wide range of individuals from 4 years 0 months to 90 years 11 months of age. This study examines both the advantages of using Mokken Scale Analysis (MSA) in intelligence tests and the hierarchical order of the items in the…
Descriptors: Intelligence Tests, Nonparametric Statistics, Test Items, Test Construction
Antino, Mirko; Alvarado, Jesús M.; Asún, Rodrigo A.; Bliese, Paul – Sociological Methods & Research, 2020
The need to determine the correct dimensionality of theoretical constructs and generate valid measurement instruments when underlying items are categorical has generated a significant volume of research in the social sciences. This article presents two studies contrasting different categorical exploratory techniques. The first study compares…
Descriptors: Nonparametric Statistics, Factor Analysis, Item Analysis, Robustness (Statistics)
Mor, Ezgi; Kula-Kartal, Seval – International Journal of Assessment Tools in Education, 2022
The dimensionality is one of the most investigated concepts in the psychological assessment, and there are many ways to determine the dimensionality of a measured construct. The Automated Item Selection Procedure (AISP) and the DETECT are non-parametric methods aiming to determine the factorial structure of a data set. In the current study,…
Descriptors: Psychological Evaluation, Nonparametric Statistics, Test Items, Item Analysis
Zebing Wu – ProQuest LLC, 2024
Response style, one common aberrancy in non-cognitive assessments in psychological fields, is problematic in terms of inaccurate estimation of item and person parameters, which leads to serious reliability, validity, and fairness issues (Baumgartner & Steenkamp, 2001; Bolt & Johnson, 2009; Bolt & Newton, 2011). Response style refers to…
Descriptors: Response Style (Tests), Accuracy, Preferences, Psychological Testing
Myszkowski, Nils – Journal of Intelligence, 2020
Raven's Standard Progressive Matrices (Raven 1941) is a widely used 60-item long measure of general mental ability. It was recently suggested that, for situations where taking this test is too time consuming, a shorter version, comprised of only the last series of the Standard Progressive Matrices (Myszkowski and Storme 2018) could be used, while…
Descriptors: Intelligence Tests, Psychometrics, Nonparametric Statistics, Item Response Theory
Metsämuuronen, Jari – International Journal of Educational Methodology, 2020
Kelley's Discrimination Index (DI) is a simple and robust, classical non-parametric short-cut to estimate the item discrimination power (IDP) in the practical educational settings. Unlike item-total correlation, DI can reach the ultimate values of +1 and -1, and it is stable against the outliers. Because of the computational easiness, DI is…
Descriptors: Test Items, Computation, Item Analysis, Nonparametric Statistics
Wang, Yu; Chiu, Chia-Yi; Köhn, Hans Friedrich – Journal of Educational and Behavioral Statistics, 2023
The multiple-choice (MC) item format has been widely used in educational assessments across diverse content domains. MC items purportedly allow for collecting richer diagnostic information. The effectiveness and economy of administering MC items may have further contributed to their popularity not just in educational assessment. The MC item format…
Descriptors: Multiple Choice Tests, Nonparametric Statistics, Test Format, Educational Assessment
Lee, HyeSun; Smith, Weldon; Martinez, Angel; Ferris, Heather; Bova, Joe – Applied Measurement in Education, 2021
The aim of the current research was to provide recommendations to facilitate the development and use of anchoring vignettes (AVs) for cross-cultural comparisons in education. Study 1 identified six factors leading to order violations and ties in AV responses based on cognitive interviews with 15-year-old students. The factors were categorized into…
Descriptors: Vignettes, Test Items, Equated Scores, Nonparametric Statistics
Walter M. Stroup; Anthony Petrosino; Corey Brady; Karen Duseau – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
Tests of statistical significance often play a decisive role in establishing the empirical warrant of evidence-based research in education. The results from pattern-based assessment items, as introduced in this paper, are categorical and multimodal and do not immediately support the use of measures of central tendency as typically related to…
Descriptors: Statistical Significance, Comparative Analysis, Research Methodology, Evaluation Methods
Ayanwale, Musa Adekunle; Ndlovu, Mdutshekelwa – Education Sciences, 2021
This study investigated the scalability of a cognitive multiple-choice test through the Mokken package in the R programming language for statistical computing. A 2019 mathematics West African Examinations Council (WAEC) instrument was used to gather data from randomly drawn K-12 participants (N = 2866; Male = 1232; Female = 1634; Mean age = 16.5…
Descriptors: Cognitive Tests, Multiple Choice Tests, Scaling, Test Items
Dirlik, Ezgi Mor – International Journal of Progressive Education, 2020
Mokken models have recently started to become the preferred method of researchers from different fields in studies of nonparametric item response theory (NIRT). Despite increasing application of these models, some features of this type of modelling need further study and explanation. Invariant item ordering (IIO) is one of these areas, which the…
Descriptors: Item Response Theory, Test Items, Nonparametric Statistics, Scoring
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
Firoozi, Fatemeh – International Journal of Language Testing, 2021
Large-scale standardized ESL tests such as the International English Language Testing System (IELTS) are widely used around the world to measure the language proficiency of test-takers and make different decisions based on their scores. Reading comprehension is an integral part of such tests which requires test-takers to read passages and answer a…
Descriptors: Language Tests, English (Second Language), Second Language Learning, Standardized Tests
Abulela, Mohammed A. A.; Rios, Joseph A. – Applied Measurement in Education, 2022
When there are no personal consequences associated with test performance for examinees, rapid guessing (RG) is a concern and can differ between subgroups. To date, the impact of differential RG on item-level measurement invariance has received minimal attention. To that end, a simulation study was conducted to examine the robustness of the…
Descriptors: Comparative Analysis, Robustness (Statistics), Nonparametric Statistics, Item Analysis