Computational Precision of the Power Function for Conditional Tests of Assumptions of the Rasch Model

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ISSN Print: 2161-718X
ISSN Online: 2161-7198
www.scirp.org/journal/ojs
E-mail: ojs@scirp.org

"Computational Precision of the Power Function for Conditional Tests of Assumptions of the Rasch Model"
written by Clemens Draxler, Jan Philipp Nolte,
published by Open Journal of Statistics, Vol.8 No.6, 2018

has been cited by the following article(s):

[1]	Penalization approaches in the conditional maximum likelihood and Rasch modelling context
	British Journal of Mathematical and …, 2023

[2]	Conditional Inference in Small Sample Scenarios Using a Resampling Approach
	Stats, 2021

[3]	Conditional or Pseudo Exact Tests with an Application in the Context of Modeling Response Times
	2020

[1]	Penalization approaches in the conditional maximum likelihood and Rasch modelling context British Journal of Mathematical and Statistical Psychology, 2023 DOI:10.1111/bmsp.12287

[2]	An Improved Inferential Procedure to Evaluate Item Discriminations in a Conditional Maximum Likelihood Framework Journal of Educational and Behavioral Statistics, 2023 DOI:10.3102/10769986231183335

[3]	Penalization approaches in the conditional maximum likelihood and Rasch modelling context British Journal of Mathematical and Statistical Psychology, 2022 DOI:10.1111/bmsp.12287

[4]	Conditional Inference in Small Sample Scenarios Using a Resampling Approach Stats, 2021 DOI:10.3390/stats4040049

[5]	Conditional or Pseudo Exact Tests with an Application in the Context of Modeling Response Times Psych, 2020 DOI:10.3390/psych2040017

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