Evidence map›Paper›PMID 39256258›Full record

ArticleBehavior research methods2024

Improvement and application of back random response detection: Based on cumulative sum and change point analysis.

Yuxin Li, Qipeng Chen, Yaojie Gao, Tour Liu

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Article in Behavior research methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Yuxin LiDepartment of Psychology, Nanjing University, Nanjing, Jiangsu, China.
Qipeng ChenDepartment of Psychology, Zhejiang Normal University, Jinhua, Zhejiang, China.
Yaojie GaoFaculty of Psychology, Tianjin Normal University, No. 393 Extension of Bin Shui West Road, Room 731, Building 17, Tianjin, Xi Qing District, China.
Tour LiuFaculty of Psychology, Tianjin Normal University, No. 393 Extension of Bin Shui West Road, Room 731, Building 17, Tianjin, Xi Qing District, China. mikebonita@hotmail.com.

Funding

National Natural Science Foundation of China 31800945
6 · The paper itself

Abstract

In educational and psychological assessments, benefiting from back random response (BRR) is a major type of rapid guessing in misfitting item score patterns. Person-fit statistics (PFS) based on cumulative sum (CUSUM) and change point analysis (CPA) from statistical process control (SPC) are better than other PFS for detecting aberrant response. In this study, we developed new person-fit statistics based on three algorithms from CPA procedure and CUSUM method for detection of person misfit with dichotomous or polytomous items. By means of simulated data, the effectiveness of the new statistics to detect test-takers with BRR was investigated.

Indexed as

AlgorithmsComputer SimulationData Interpretation, StatisticalEducational MeasurementHumansModels, StatisticalPsychometricsBack random responseChange point analysisCumulative sumPerson-fit statistics

Identifiers

PMID39256258

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.