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Nana Kim; Daniel M. Bolt – Journal of Educational and Behavioral Statistics, 2024
Some previous studies suggest that response times (RTs) on rating scale items can be informative about the content trait, but a more recent study suggests they may also be reflective of response styles. The latter result raises questions about the possible consideration of RTs for content trait estimation, as response styles are generally viewed…
Descriptors: Item Response Theory, Reaction Time, Response Style (Tests), Psychometrics
Chunyan Liu; Raja Subhiyah; Richard A. Feinberg – Applied Measurement in Education, 2024
Mixed-format tests that include both multiple-choice (MC) and constructed-response (CR) items have become widely used in many large-scale assessments. When an item response theory (IRT) model is used to score a mixed-format test, the unidimensionality assumption may be violated if the CR items measure a different construct from that measured by MC…
Descriptors: Test Format, Response Style (Tests), Multiple Choice Tests, Item Response Theory
Cornelia Eva Neuert – Sociological Methods & Research, 2024
The quality of data in surveys is affected by response burden and questionnaire length. With an increasing number of questions, respondents can become bored, tired, and annoyed and may take shortcuts to reduce the effort needed to complete the survey. In this article, direct evidence is presented on how the position of items within a web…
Descriptors: Online Surveys, Test Items, Test Format, Test Construction
Jan Karem Höhne; Achim Goerres – International Journal of Social Research Methodology, 2024
The measurement of political solidarities and related concepts is an important endeavor in numerous scientific disciplines, such as political and social science research. European surveys, such as the Eurobarometer, frequently measure these concepts for people's home country and Europe raising questions with respect to the order of precedence.…
Descriptors: Surveys, Attitude Measures, Political Attitudes, Foreign Countries
Wim J. van der Linden; Luping Niu; Seung W. Choi – Journal of Educational and Behavioral Statistics, 2024
A test battery with two different levels of adaptation is presented: a within-subtest level for the selection of the items in the subtests and a between-subtest level to move from one subtest to the next. The battery runs on a two-level model consisting of a regular response model for each of the subtests extended with a second level for the joint…
Descriptors: Adaptive Testing, Test Construction, Test Format, Test Reliability
Kmetty, Zoltán; Stefkovics, Ádám – International Journal of Social Research Methodology, 2022
Questionnaire design choices, such as handling 'do not know' answers or using check all that apply questions may impact the level of item- and unit nonresponse. We used experimental data from an online panel and the questions of ESS to examine how applying forced answering, offering DK/NA options and specific question formats (CATA vs. forced…
Descriptors: Item Response Theory, Test Format, Response Rates (Questionnaires), Questionnaires
Yi-Ling Wu; Yao-Hsuan Huang; Chia-Wen Chen; Po-Hsi Chen – Journal of Educational Measurement, 2025
Multistage testing (MST), a variant of computerized adaptive testing (CAT), differs from conventional CAT in that it is adapted at the module level rather than at the individual item level. Typically, all examinees begin the MST with a linear test form in the first stage, commonly known as the routing stage. In 2020, Han introduced an innovative…
Descriptors: Computer Assisted Testing, Adaptive Testing, Test Format, Measurement
Sohee Kim; Ki Lynn Cole – International Journal of Testing, 2025
This study conducted a comprehensive comparison of Item Response Theory (IRT) linking methods applied to a bifactor model, examining their performance on both multiple choice (MC) and mixed format tests within the common item nonequivalent group design framework. Four distinct multidimensional IRT linking approaches were explored, consisting of…
Descriptors: Item Response Theory, Comparative Analysis, Models, Item Analysis
Huang, Hung-Yu – Educational and Psychological Measurement, 2023
The forced-choice (FC) item formats used for noncognitive tests typically develop a set of response options that measure different traits and instruct respondents to make judgments among these options in terms of their preference to control the response biases that are commonly observed in normative tests. Diagnostic classification models (DCMs)…
Descriptors: Test Items, Classification, Bayesian Statistics, Decision Making
Stefanie A. Wind; Yuan Ge – Measurement: Interdisciplinary Research and Perspectives, 2024
Mixed-format assessments made up of multiple-choice (MC) items and constructed response (CR) items that are scored using rater judgments include unique psychometric considerations. When these item types are combined to estimate examinee achievement, information about the psychometric quality of each component can depend on that of the other. For…
Descriptors: Interrater Reliability, Test Bias, Multiple Choice Tests, Responses
Jianbin Fu; Xuan Tan; Patrick C. Kyllonen – Journal of Educational Measurement, 2024
This paper presents the item and test information functions of the Rank two-parameter logistic models (Rank-2PLM) for items with two (pair) and three (triplet) statements in forced-choice questionnaires. The Rank-2PLM model for pairs is the MUPP-2PLM (Multi-Unidimensional Pairwise Preference) and, for triplets, is the Triplet-2PLM. Fisher's…
Descriptors: Questionnaires, Test Items, Item Response Theory, Models
Uk Hyun Cho – ProQuest LLC, 2024
The present study investigates the influence of multidimensionality on linking and equating in a unidimensional IRT. Two hypothetical multidimensional scenarios are explored under a nonequivalent group common-item equating design. The first scenario examines test forms designed to measure multiple constructs, while the second scenario examines a…
Descriptors: Item Response Theory, Classification, Correlation, Test Format
Monica Casella; Pasquale Dolce; Michela Ponticorvo; Nicola Milano; Davide Marocco – Educational and Psychological Measurement, 2024
Short-form development is an important topic in psychometric research, which requires researchers to face methodological choices at different steps. The statistical techniques traditionally used for shortening tests, which belong to the so-called exploratory model, make assumptions not always verified in psychological data. This article proposes a…
Descriptors: Artificial Intelligence, Test Construction, Test Format, Psychometrics
Brian E. Clauser; Victoria Yaneva; Peter Baldwin; Le An Ha; Janet Mee – Applied Measurement in Education, 2024
Multiple-choice questions have become ubiquitous in educational measurement because the format allows for efficient and accurate scoring. Nonetheless, there remains continued interest in constructed-response formats. This interest has driven efforts to develop computer-based scoring procedures that can accurately and efficiently score these items.…
Descriptors: Computer Uses in Education, Artificial Intelligence, Scoring, Responses
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

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