Item Response Theory Principles And Applications
By A. Gerber. 2016
533 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/23f502823aa07eb98696a545704dba6aabdff070
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Citations in the corpus
- Technical Guide for Latent GOLD 5.1: Basic, Advanced, and Syntax 1 (2016, methodology): “Overviews of the field of parametric IRT modeling can be found in Hambleton and Swaminathan (1985), Heinen (1996), Mellenbergh (1995), and Van der Linden and Hamilton (1997). (49)It is also possible to assume that a = 1 and treat the variance of the latent variable as an unknown parameter to be esti”
- Introduction to Latent Class Analysis With Applications (2017, methodology): “IRT models use the observed responses (to a number of items) to measure a continuous LV and the strength of the relationship between item scores, that is, the probability of responding into a particular category and LVs (De Ayala, 2009; Hambleton & Swaminathan, 1985; Sijtsma & Molenaar, 2002).”
- Undesirable biases in NLP: Averting a crisis of measurement (2022, methodology): “We refer interested readers to the psychometric framework of item response theory (e.g., Hambleton & Swaminathan, 2013)2 for a more thorough elaboration on how levels of a construct can interact with the tools used to measure them.”