University of Groningen
Computerized adaptive testing in primary care: CATja
van Bebber, Jan
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Publication date: 2018
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van Bebber, J. (2018). Computerized adaptive testing in primary care: CATja. University of Groningen.
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Stellingen CATja, Jan van Bebber
1) When investigating the fit of a postulated IRT model to the data, the results of test statistics (e.g. the summed score chi-square test or the Lagrange Multiplier test) should only be used to indicate those items for which fit appears to be most problematic (chapters 2, 3, and 5).
2) The use of adaptive testing based on self-reported positive and negative symptoms in individuals at-risk for psychosis is a promising method for selecting those patients who are most vulnerable (chapter 2).
3) In the treatment of patients who experienced a first episode psychosis, clinicians should carefully balance the benefits of relapse prevention by use of antipsychotics against the drawbacks of further impairing already decreased levels social and vocational functioning (chapter 6).
4) Collapsing the three highest response categories of the items of the distress scale of the four-dimensional symptom questionnaire (4DSQ) is not to be recommended, because it leads to decreased measurement precision for elevated and high levels of distress (chapter 4).
5) The inability to reject an IRT model simply means that you did not collect enough data (Donald B. Rubin).
6) Never underestimate people’s resistance to change (chapter 7).
7) In case Albert Einstein would have had to explain his theory of relativity to his granny prior to publishing it, he probably would never have published it.
