Details

Autor(en) / Beteiligte

• Meyers, John E
• Miller, Ronald M
• Thompson, Lisa M
• Scalese, Adam M
• Allred, Bonnie C
• Rupp, Zachary W
• Dupaix, Zacharias P
• Junghyun Lee, Amy

Titel

Using Likelihood Ratios to Detect Invalid Performance with Performance Validity Measures

Ist Teil von

• Archives of clinical neuropsychology, 2014-05, Vol.29 (3), p.224-235

Ort / Verlag

Oxford: Oxford University Press

Erscheinungsjahr

2014

Quelle

Oxford Journals 2020 Medicine

Beschreibungen/Notizen

• Larrabee (2008) applied chained likelihood ratios to selected performance validity measures (PVMs) to identify non-valid performances on neuropsychological tests. He presented a method of combining different PVMs with different sensitivities and specificities into an overall probability of non-validity. We applied his methodology to a set of 11 PVMs using a sample of 255 subjects. The results of the study show that in various combinations of two or three PVMs, a high reliability of invalidity can be determined using the chained likelihood ratio method. This study advances the ability of clinicians to chain various PVMs together and calculate the probability that a set of data is invalid.