scholarly journals Improving Measurement Precision in Experimental Psychopathology Using Item Response Theory

2019 ◽  
Vol 80 (4) ◽  
pp. 695-725
Author(s):  
Leah M. Feuerstahler ◽  
Niels Waller ◽  
Angus MacDonald
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Computerized Adaptive Testing ◽  
Cognitive Task ◽  
Working Memory Capacity ◽  
Response Theory ◽  
Response Models ◽  
Item Response Models ◽  
Experimental Psychopathology ◽  
Assessment Tasks

Although item response models have grown in popularity in many areas of educational and psychological assessment, there are relatively few applications of these models in experimental psychopathology. In this article, we explore the use of item response models in the context of a computerized cognitive task designed to assess visual working memory capacity in people with psychosis as well as healthy adults. We begin our discussion by describing how item response theory can be used to evaluate and improve unidimensional cognitive assessment tasks in various examinee populations. We then suggest how computerized adaptive testing can be used to improve the efficiency of cognitive task administration. Finally, we explore how these ideas might be extended to multidimensional item response models that better represent the complex response processes underlying task performance in psychopathological populations.

Confidence Envelopes for Item Response Theory

1990 ◽  
Vol 15 (2) ◽  
pp. 113-128 ◽  
Author(s):  
David Thissen ◽  
Howard Wainer
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Confidence Region ◽  
Logistic Models ◽  
Response Theory ◽  
Response Models ◽  
Item Response Models ◽  
The One

Confidence envelopes for the one-, two-, and three-parameter logistic item response models are illustrated. In addition, we describe m-line plots, which show the genesis of the envelope as well as the density of lines in the confidence region. These too are illustrated for the one-, two-, and three- parameter logistic models.

Computerized Adaptive Testing in Poland / Komputerowe Testowanie Adaptacyjne W Polsce

2012 ◽  
Vol 17 (1-2) ◽  
pp. 61-68
Author(s):  
Ryszard Gmoch
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Computerized Adaptive Testing ◽  
Adaptive Testing ◽  
Problem Area ◽  
Testing Methods ◽  
Response Theory ◽  
Essential Questions ◽  
Computer Based ◽  
Computer Based Testing

Abstract New trends relating to computer-based testing of learners’ achievements are presented in the paper. It describes adaptive testing methods and results of studies in this problem area. Essential questions connected with the Item Response Theory (IRT) were also discussed. The presented data indicate that computer-based adaptive testing should be popularized in Poland to its fullest extent.

Het nut van de item respons theorie bij de constructie en evaluatie van niet-cognitieve instrumenten voor selectie en assessment binnen organisaties

2012 ◽  
Vol 25 (1) ◽  
Author(s):  
Iris J.L. Egberink ◽  
Rob R. Meijer
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Personnel Selection ◽  
Computerized Adaptive Testing ◽  
Testing System ◽  
Response Theory ◽  
Irt Models ◽  
Trait Level ◽  
Selection And Assessment

The usefulness of item response theory for the construction and evaluation of noncognitive tests in personnel selection and assessment The usefulness of item response theory for the construction and evaluation of noncognitive tests in personnel selection and assessment In this article we discuss the use of IRT for the development and application of noncognitive measures in personnel selection and career development. We introduce the basic principles of IRT and we discuss the usefulness of IRT to evaluate the quality of items and tests to assess the measurement precision of a candidate’s trait level, and to investigate item and test bias. Furthermore, we describe several applications of IRT, including computerized adaptive testing and the development of item banks in an automated testing system. Finally, a list of software programs is provided to stimulate the use of IRT models.

scholarly journals Identifying and monitoring progress in collaboration skills

2021 ◽  
Author(s):  
Claire Scoular
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Skill Development ◽  
Learning Progressions ◽  
Assessment Data ◽  
Response Theory ◽  
Assessment Tasks ◽  
Collaboration Skills ◽  
Collaborative Skills ◽  
Monitoring Progress

The nature of skills such as collaboration is complex, particularly given that there are internal processes at play. Inferences need to be made to interpret explicit behaviours observed from intentionally designed assessment tasks. This paper centres on the approach to develop hypotheses of skill development into validated learning progressions using assessment data. Understanding a skill from a growth perspective is essential for the effective teaching and development of the skill. The application of Item Response Theory (IRT) allows the interpretation of assessment data as levels of proficiency that we can use to map or monitor progress in collaborative skills.

scholarly journals Parameter Recovery in Multidimensional Item Response Theory Models Under Complexity and Nonnormality

2017 ◽  
Vol 41 (7) ◽  
pp. 530-544 ◽  
Author(s):  
Dubravka Svetina ◽  
Arturo Valdivia ◽  
Stephanie Underhill ◽  
Shenghai Dai ◽  
Xiaolin Wang
Keyword(s):  
Item Response Theory ◽  
Item Response ◽  
Computerized Adaptive Testing ◽  
Latent Trait ◽  
Item Parameter ◽  
Multidimensional Item Response ◽  
Response Theory ◽  
Parameter Recovery ◽  
Assessment Development ◽  
Latent Traits

Information about the psychometric properties of items can be highly useful in assessment development, for example, in item response theory (IRT) applications and computerized adaptive testing. Although literature on parameter recovery in unidimensional IRT abounds, less is known about parameter recovery in multidimensional IRT (MIRT), notably when tests exhibit complex structures or when latent traits are nonnormal. The current simulation study focuses on investigation of the effects of complex item structures and the shape of examinees’ latent trait distributions on item parameter recovery in compensatory MIRT models for dichotomous items. Outcome variables included bias and root mean square error. Results indicated that when latent traits were skewed, item parameter recovery was generally adversely impacted. In addition, the presence of complexity contributed to decreases in the precision of parameter recovery, particularly for discrimination parameters along one dimension when at least one latent trait was generated as skewed.

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