Journal ArticleDOI
The incremental validity of psychological testing and assessment: conceptual, methodological, and statistical issues.
John Hunsley,Gregory J. Meyer +1 more
TLDR
In this article, the authors examined applicable research designs, including those to assess the incremental validity of test instruments, of test-informed clinical inferences, and of newly developed measures.Abstract:
There has been insufficient effort in most areas of applied psychology to evaluate incremental validity. To further this kind of validity research, the authors examined applicable research designs, including those to assess the incremental validity of test instruments, of test-informed clinical inferences, and of newly developed measures. The authors also considered key statistical and measurement issues that can influence incremental validity findings, including the entry order of predictor variables, how to interpret the size of a validity increment, and possible artifactual effects in the criteria selected for incremental validity research. The authors concluded by suggesting steps for building a cumulative research base concerning incremental validity and by describing challenges associated with applying nomothetic research findings to individual clinical cases.read more
Citations
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Journal ArticleDOI
Gratitude and well-being: A review and theoretical integration
TL;DR: A new model of gratitude is presented, incorporating not only the gratitude that arises following help from others but also a habitual focusing on and appreciating the positive aspects of life, which has the potential of improving well-being through fostering gratitude with simple exercises.
Journal ArticleDOI
Emotional intelligence: new ability or eclectic traits?
TL;DR: EI--conceptualized as an ability--is an important variable both conceptually and empirically, and it shows incremental validity for predicting socially relevant outcomes.
Journal ArticleDOI
The validity of the multi-informant approach to assessing child and adolescent mental health.
Andres De Los Reyes,Tara M. Augenstein,Mo Wang,Sarah A. Thomas,Deborah A. G. Drabick,Darcy E. Burgers,Jill A. Rabinowitz +6 more
TL;DR: In this article, the authors meta-analyzed 341 studies published between 1989 and 2014 that reported cross-informant correspondence estimates, and observed low-to-moderate correspondence (mean internalizing: r =.25; mean externalizing: R =.30; mean overall: R.28).
Posted Content
The Validity of the Multi-Informant Approach to Assessing Child and Adolescent Mental Health
Andres De Los Reyes,Tara M. Augenstein,Mo Wang,Sarah A. Thomas,Deborah A. G. Drabick,Darcy E. Burgers,Jill A. Rabinowitz +6 more
TL;DR: This article critically evaluated research on the incremental and construct validity of the multi-informant approach to clinical child and adolescent assessment, and identified crucial gaps in knowledge for future research, and provided recommendations for "best practices" in using and interpreting multi-Informant assessments in clinical work and research.
Journal ArticleDOI
Self-efficacy and work-related performance: the integral role of individual differences.
TL;DR: Overall, results suggest that the predictive validity of self-efficacy is attenuated in the presence of individual differences, though this attenuation does depend on the context.
References
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Book
Statistical Power Analysis for the Behavioral Sciences
TL;DR: The concepts of power analysis are discussed in this paper, where Chi-square Tests for Goodness of Fit and Contingency Tables, t-Test for Means, and Sign Test are used.
Journal ArticleDOI
A power primer.
TL;DR: A convenient, although not comprehensive, presentation of required sample sizes is providedHere the sample sizes necessary for .80 power to detect effects at these levels are tabled for eight standard statistical tests.
Book
Applied multiple regression/correlation analysis for the behavioral sciences
TL;DR: In this article, the Mathematical Basis for Multiple Regression/Correlation and Identification of the Inverse Matrix Elements is presented. But it does not address the problem of missing data.
Book
Multiple Regression: Testing and Interpreting Interactions
Leona S. Aiken,Stephen G. West +1 more
TL;DR: In this article, the effects of predictor scaling on the coefficients of regression equations are investigated. But, they focus mainly on the effect of predictors scaling on coefficients of regressions.