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

Access to Document

10.20982/tqmp.14.3.p180Licence: CC BY

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

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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