Using Cumulative Sum Statistics to Detect Inconsistencies in Unproctored Internet TestingTendeiro, 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 journal › Article › Academic › peer-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.
|Number of pages||19|
|Journal||Educational and Psychological Measurement|
|Publication status||Published - Feb-2013|
- Unproctored Internet Testing, inconsistent response behavior, computer-based testing, cumulative sum statistic, KULLBACK-LEIBLER DIVERGENCE, PERSON-FIT, RATIO TEST, DISTRIBUTIONS, ALTERNATIVES, SELECTION, INDEXES, MISFIT