Impact of simple substitution methods for missing data on Classical test theory difficulty and discrimination

Sebastien Beland; Shahab Jolani; Francois Pichette; Jean-Sebastien Renaud

doi:10.20982/tqmp.14.3.p180

Impact of simple substitution methods for missing data on Classical test theory difficulty and discrimination

Sebastien Beland, Shahab Jolani, Francois Pichette, Jean-Sebastien Renaud

Research output: Contribution to journal › Article › Academic › peer-review

Original language	English
Pages (from-to)	180-192
Number of pages	13
Journal	The Quantitative Methods for Psychology
Volume	14
Issue number	3
DOIs	https://doi.org/10.20982/tqmp.14.3.p180
Publication status	Published - 1 Jan 2018

Keywords

Classical test theory
item difficulty
item discrimination
missing data at random
educational testing
ITEM RESPONSE THEORY
MULTIPLE IMPUTATION
REPORTING PRACTICES
MODELS
SCORES

Cite this

Beland, S., Jolani, S., Pichette, F., & Renaud, J-S. (2018). Impact of simple substitution methods for missing data on Classical test theory difficulty and discrimination. The Quantitative Methods for Psychology , 14(3), 180-192. https://doi.org/10.20982/tqmp.14.3.p180

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KW - REPORTING PRACTICES

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KW - SCORES

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10.20982/tqmp.14.3.p180Licence: CC BY

http://r-libre.teluq.ca/1530/1/Beland%20Jolani%20Pichette%20Renaud%202018.pdf