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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
Ben Backes; James Cowan – Applied Measurement in Education, 2024
We investigate two research questions using a recent statewide transition from paper to computer-based testing: first, the extent to which test mode effects found in prior studies can be eliminated; and second, the degree to which online and paper assessments offer different information about underlying student ability. We first find very small…
Descriptors: Computer Assisted Testing, Test Format, Differences, Academic Achievement
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
Shaojie Wang; Won-Chan Lee; Minqiang Zhang; Lixin Yuan – Applied Measurement in Education, 2024
To reduce the impact of parameter estimation errors on IRT linking results, recent work introduced two information-weighted characteristic curve methods for dichotomous items. These two methods showed outstanding performance in both simulation and pseudo-form pseudo-group analysis. The current study expands upon the concept of information…
Descriptors: Item Response Theory, Test Format, Test Length, Error of Measurement
Glazer, Nancy; Wolfe, Edward W. – Applied Measurement in Education, 2020
This introductory article describes how constructed response scoring is carried out, particularly the rater monitoring processes and illustrates three potential designs for conducting rater monitoring in an operational scoring project. The introduction also presents a framework for interpreting research conducted by those who study the constructed…
Descriptors: Scoring, Test Format, Responses, Predictor Variables
Yi-Hsuan Lee; Yue Jia – Applied Measurement in Education, 2024
Test-taking experience is a consequence of the interaction between students and assessment properties. We define a new notion, rapid-pacing behavior, to reflect two types of test-taking experience -- disengagement and speededness. To identify rapid-pacing behavior, we extend existing methods to develop response-time thresholds for individual items…
Descriptors: Adaptive Testing, Reaction Time, Item Response Theory, Test Format
Mo, Ya; Carney, Michele; Cavey, Laurie; Totorica, Tatia – Applied Measurement in Education, 2021
There is a need for assessment items that assess complex constructs but can also be efficiently scored for evaluation of teacher education programs. In an effort to measure the construct of teacher attentiveness in an efficient and scalable manner, we are using exemplar responses elicited by constructed-response item prompts to develop…
Descriptors: Protocol Analysis, Test Items, Responses, Mathematics Teachers
Lim, Euijin; Lee, Won-Chan – Applied Measurement in Education, 2020
The purpose of this study is to address the necessity of subscore equating and to evaluate the performance of various equating methods for subtests. Assuming the random groups design and number-correct scoring, this paper analyzed real data and simulated data with four study factors including test dimensionality, subtest length, form difference in…
Descriptors: Equated Scores, Test Length, Test Format, Difficulty Level
Kim, Stella Y.; Lee, Won-Chan – Applied Measurement in Education, 2019
This study explores classification consistency and accuracy for mixed-format tests using real and simulated data. In particular, the current study compares six methods of estimating classification consistency and accuracy for seven mixed-format tests. The relative performance of the estimation methods is evaluated using simulated data. Study…
Descriptors: Classification, Reliability, Accuracy, Test Format
Kieftenbeld, Vincent; Boyer, Michelle – Applied Measurement in Education, 2017
Automated scoring systems are typically evaluated by comparing the performance of a single automated rater item-by-item to human raters. This presents a challenge when the performance of multiple raters needs to be compared across multiple items. Rankings could depend on specifics of the ranking procedure; observed differences could be due to…
Descriptors: Automation, Scoring, Comparative Analysis, Test Items
Keller, Lisa A.; Keller, Robert; Cook, Robert J.; Colvin, Kimberly F. – Applied Measurement in Education, 2016
The equating of tests is an essential process in high-stakes, large-scale testing conducted over multiple forms or administrations. By adjusting for differences in difficulty and placing scores from different administrations of a test on a common scale, equating allows scores from these different forms and administrations to be directly compared…
Descriptors: Item Response Theory, Equated Scores, Test Format, Testing Programs
Tao, Wei; Cao, Yi – Applied Measurement in Education, 2016
Current procedures for equating number-correct scores using traditional item response theory (IRT) methods assume local independence. However, when tests are constructed using testlets, one concern is the violation of the local item independence assumption. The testlet response theory (TRT) model is one way to accommodate local item dependence.…
Descriptors: Item Response Theory, Equated Scores, Test Format, Models
Liang, Tie; Wells, Craig S. – Applied Measurement in Education, 2015
Investigating the fit of a parametric model plays a vital role in validating an item response theory (IRT) model. An area that has received little attention is the assessment of multiple IRT models used in a mixed-format test. The present study extends the nonparametric approach, proposed by Douglas and Cohen (2001), to assess model fit of three…
Descriptors: Nonparametric Statistics, Goodness of Fit, Item Response Theory, Test Format
Lee, Guemin; Lee, Won-Chan – Applied Measurement in Education, 2016
The main purposes of this study were to develop bi-factor multidimensional item response theory (BF-MIRT) observed-score equating procedures for mixed-format tests and to investigate relative appropriateness of the proposed procedures. Using data from a large-scale testing program, three types of pseudo data sets were formulated: matched samples,…
Descriptors: Test Format, Multidimensional Scaling, Item Response Theory, Equated Scores
Using Necessary Information to Identify Item Dependence in Passage-Based Reading Comprehension Tests
Baldonado, Angela Argo; Svetina, Dubravka; Gorin, Joanna – Applied Measurement in Education, 2015
Applications of traditional unidimensional item response theory models to passage-based reading comprehension assessment data have been criticized based on potential violations of local independence. However, simple rules for determining dependency, such as including all items associated with a particular passage, may overestimate the dependency…
Descriptors: Reading Tests, Reading Comprehension, Test Items, Item Response Theory