Results 111 to 120 of about 1,357,661 (125)

Application of item response theory to motor skill tests: estimation of motor skills of young children using selected Rasch Models

, 2008
Osamu Aoyagi
openalex   +2 more sources

Nonparametric item response theory and related topics [PDF]

, 2007
Meijer, R.R., Sijtsma, K.
core  

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An item response theory analysis of self-report measures of adult attachment.

Journal of Personality and Social Psychology, 2000
Self-report measures of adult attachment are typically scored in ways (e.g., averaging or summing items) that can lead to erroneous inferences about important theoretical issues, such as the degree of continuity in attachment security and the ...
R. C. Fraley, N. Waller, Kelly A. Brennan   +2 more
semanticscholar   +1 more source

Item Response Theory

Assessing Measurement Invariance for Applied Research, 2010
This is a title in our Understanding Statistics series, which is designed to provide researchers with authoritative guides to understanding, presenting and critiquing analyses and associated inferences.
Christine E. DeMars
semanticscholar   +1 more source

The Basics of Item Response Theory Using R

Measurement: Interdisciplinary Research and Perspectives, 2018
This article reviews the book The Basics of Item Response Theory Using R by Baker and Kim (2017). It describes the structure and goals of the book, provides an overview of each chapter, and concludes with general comments.
Brooke E. Magnus
semanticscholar   +1 more source

Fundamentals of Item Response Theory

, 1991
Background Concepts, Models, and Features Ability and Item Parameter Estimation Assessment of Model-Data Fit The Ability Scale Item and Test Information and Efficiency Functions Test Construction Identification of Potentially Biased Test Items Test Score
M. Stenbeck, R. Hambleton, H. Swaminathan, H. Rogers   +3 more
semanticscholar   +1 more source

Item Response Theory Based Ensemble in Machine Learning

International Journal of Automation and Computing, 2019
In this article, we propose a novel probabilistic framework to improve the accuracy of a weighted majority voting algorithm. In order to assign higher weights to the classifiers which can correctly classify hard-to-classify instances, we introduce the ...
Ziheng Chen, H. Ahn
semanticscholar   +1 more source

Item Response Theory for Psychologists

Quality of Life Research, 2004
P. Fayers
semanticscholar   +1 more source

Applications of Item Response Theory To Practical Testing Problems

, 1980
F. Lord
semanticscholar   +1 more source

Using Item Response Theory to Develop a 60-Item Representation of the NEO PI–R Using the International Personality Item Pool: Development of the IPIP–NEO–60

Journal of Personality Assessment, 2019
J. Maples-Keller, Rachel L. Williamson, Chelsea E. Sleep, Nathan T. Carter, W. K. Campbell, Joshua D. Miller   +5 more
semanticscholar   +1 more source