Publication

Using Cumulative Sum Statistics to Detect Inconsistencies in Unproctored Internet Testing

Tendeiro, J. N., Meijer, R. R., Schakel, L. & Maij-de Meij, A. M., Feb-2013, In : Educational and Psychological Measurement. 73, 1, p. 143-161 19 p.

Research output: Contribution to journalArticleAcademicpeer-review

Unproctored Internet Testing (UIT) is becoming more popular in personnel recruitment and selection. A drawback of UIT is that cheating is easy and, therefore, a proctored test is often administered after an UIT procedure. To detect inconsistent test scores from UIT, a cumulative sum procedure (CUSUM) is proposed. This procedure is applied to empirical data from an adaptive computer-based test in a real personnel selection context. The usefulness of the CUSUM is illustrated, and the unique contribution of the CUSUM to existing procedures is discussed.

Original languageEnglish
Pages (from-to)143-161
Number of pages19
JournalEducational and Psychological Measurement
Volume73
Issue number1
Publication statusPublished - Feb-2013

    Keywords

  • Unproctored Internet Testing, inconsistent response behavior, computer-based testing, cumulative sum statistic, KULLBACK-LEIBLER DIVERGENCE, PERSON-FIT, RATIO TEST, DISTRIBUTIONS, ALTERNATIVES, SELECTION, INDEXES, MISFIT

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