Results 331 to 340 of about 7,717,977 (381)

Predictive Validity

Encyclopedia of Quality of Life and Well-Being Research, 2021
Wei-Ling Lin, Grace Yao
semanticscholar   +2 more sources

Predictive Validity

Encyclopedia of Personality and Individual Differences, 2020
M. Shuttleworth
semanticscholar   +2 more sources

Predictive Validity of Pretrial Risk Assessments: A Systematic Review of the Literature

Criminal Justice and Behavior, 2020
Bail reform is sweeping the nation and many jurisdictions are looking to pretrial risk assessment as one potential strategy to support these efforts.
Sarah L. Desmarais, Samantha A. Zottola, Sarah E. Duhart Clarke, E. Lowder   +3 more
semanticscholar   +1 more source

FRAIL scale: Predictive validity and diagnostic test accuracy

Australasian Journal on Ageing, 2020
To examine the predictive validity of the FRAIL scale for mortality, and diagnostic test accuracy (DTA) against the frailty phenotype (FP).
M. Thompson, O. Theou, G. Tucker, R. Adams, R. Visvanathan   +4 more
semanticscholar   +1 more source

Language-specific grit: exploring psychometric properties, predictive validity, and differences across contexts

, 2020
‘Grit’ has been identified as an important predictor of success in a number of academic and non-academic domains (Duckworth, A. L., C. Peterson, M. D. Matthews, and D. R. Kelly. 2007.
Ekaterina Sudina, Jason Brown, Brien Datzman, Yukiko Oki, Katherine Song, Robert F. Cavanaugh, Bala Thiruchelvam, Luke Plonsky   +7 more
semanticscholar   +1 more source

Using Bifactor Models to Examine the Predictive Validity of Hierarchical Constructs: Pros, Cons, and Solutions

, 2020
The use of bifactor models has increased substantially in the past decade. However, bifactor models are prone to a nonidentification problem in the context of prediction that is not well recognized in the general research community.
Bo Zhang, Tianjun Sun, Mengyang Cao, F. Drasgow   +3 more
semanticscholar   +1 more source

Validation of Probabilistic Predictions

Medical Decision Making, 1993
Current advances in high-speed computing and increased availability of statistical software have led to widespread use of statistical methods for the development of computerized protocols predictive of binary health outcomes. If these predictive algorithms are to be used in settings other than those for which they were developed, e.g., applied in a ...
M E, Miller, C D, Langefeld, W M, Tierney, S L, Hui, C J, McDonald   +4 more
openaire   +2 more sources

Validating and comparing predictive models

International Journal of Food Microbiology, 1999
The bias and accuracy factors introduced by Ross [Ross, T., 1996. Indices for performance evaluation of predictive models in food microbiology. J. Appl Bacteriol. 81, 501-508] for the evaluation of the performance of models in 'predictive food microbiology' are refined by basing the calculation of those measures on the mean square differences between ...
J, Baranyi, C, Pin, T, Ross
openaire   +2 more sources

Violent recidivism: Assessing predictive validity.

Journal of Consulting and Clinical Psychology, 1995
Until very recently, there has been little evidence of the ability of either clinicians or actuarial instruments to predict violent behavior. Moreover, a confusing variety of measures have been proposed for the evaluation of the accuracy of predictions.
M E, Rice, G T, Harris
openaire   +2 more sources

Predictive validity of the R-URICA.

Psychology and psychotherapy, 2018
OBJECTIVES Measuring client motivation to change, and then using information from that assessment to plan and conduct treatment, has been of great interest to therapists. Researchers have modified a measure of motivation to change to develop the R-URICA (
R. Tambling, L. Johnson
semanticscholar   +1 more source