Validity of Selection Procedures

2009 ◽  
Author(s):  
Neal Schmitt ◽  
Jessica Fandre
Keyword(s):  
Meta Analysis ◽  
American Psychological Association ◽  
Organizational Psychology ◽  
American Psychological ◽  
Selection Procedures ◽  
Validity Generalization ◽  
Industrial And Organizational Psychology ◽  
The Way

This article addresses two major issues: How psychologists conceptualize the validity of the procedures they develop and use to select employees; and what reasonable estimates of the validity of those procedures are. Changes in the way one conceptualizes validity are obvious in the American Psychological Association Guidelines, the Society for Industrial and Organizational Psychology Principles, as well as recent textbook treatments of validity. At the same time that these changes in the ideas about measure validity have occurred, the use of meta-analysis has radically changed the discipline's thinking regarding the magnitude of the validity and utility of selection procedures, as well as their generalizability. Procedures developed to assess the extent of validity generalization have prompted a focus on true validity.

Baby, It’s in Your Nature

Hatred ◽  
2020 ◽  
pp. 199-238
Author(s):  
Berit Brogaard
Keyword(s):  
Gender Norms ◽  
American Psychological Association ◽  
Implicit Association ◽  
Contemporary Culture ◽  
American Psychological ◽  
Male Violence ◽  
Masculinity Ideology ◽  
The Feminine ◽  
New Guidelines ◽  
The Way

In its new guidelines to help psychologists address male violence, sexism, and misogyny, the American Psychological Association suggests that misogyny stems from the masculinity ideology our culture adheres to. While the masculinity dogma is part of what inspires men to hate women, two other ideologies are needed to explain the misogyny incarnate in contemporary culture: doctrines here called “the feminine ideal” and “the myth of female filth.” It’s imprinted into the minds of little girls that they need to live up to society’s standards of femininity. Women who deviate from traditional gender norms become the targets of misogynistic hatred. The flipside of the feminine ideal is that women’s implicit association with bodily “stuff,” manipulation, and irrationality makes all women prone to misogynistic contempt. Along the way, this chapter shows how sexism differs from hateful and contemptuous misogyny, and why women who belong to multiple marginalized or stigmatized groups are particularly prone to misogynistic attacks.

The Performance Management Fix Is In: How Practice Can Build on the Research

2015 ◽  
Vol 8 (1) ◽  
pp. 80-85 ◽  
Author(s):  
Paul E. Levy ◽  
Stanley B. Silverman ◽  
Caitlin M. Cavanaugh
Keyword(s):  
Performance Management ◽  
Organizational Psychology ◽  
The State ◽  
Science Practice ◽  
The World ◽  
Practice Gap ◽  
The Creation ◽  
Industrial And Organizational Psychology ◽  
Scientist Practitioner Model ◽  
The Way

The scientist–practitioner model of training in industrial and organizational psychology provides the foundation for the education of industrial and organizational psychologists across the world. This approach is important because, as industrial and organizational psychologists, we are responsible for both the creation and discovery of knowledge and the use or application of that knowledge. In multiple articles recently published in this journal, Pulakos and her colleagues (Pulakos, Mueller Hanson, Arad, & Moye, 2015; Pulakos & O’Leary, 2011) have argued that performance management (PM), as applied and implemented in organizations, is broken. This is not a unique take on the state of PM in organizations, as others have been arguing for many years that PM is no longer working in organizations the way that we would like it to work (Banks & Murphy, 1985; Bretz, Milkovich, & Read, 1992). Further, for many years and in many Society for Industrial and Organizational Psychology conference panels and debates in the literature, we have been inundated with discussions and conversations around the science–practice gap and around the gap being especially evident in PM.

scholarly journals JASP (Software)

2020 ◽  
Author(s):  
Hyemin Han ◽  
Kelsie J Dawson
Keyword(s):  
Visual Inspection ◽  
Data Science ◽  
Meta Analysis ◽  
American Psychological Association ◽  
Statistical Testing ◽  
Analysis Program ◽  
American Psychological ◽  
Analysis Methods ◽  
Data Editor ◽  
Statistical Analysis Program

JASP, Jeffrey’s Amazing Statistics Program (official webpage: https://jasp-stats.org/), version 0.12.2, is an open-source, free statistical software package available on Windows, MacOS, and Linux platforms. It was developed by a group of quantitative methodologists who are interested in improving statistical testing and analysis methods used in the fields of psychological sciences. It implements various analysis methods, particularly those in Bayesian analysis and data science. The implemented methods include t-tests, ANOVA, regression analysis, factor analysis, machine learning, meta-analysis, network analysis, and SEM. JASP also includes a data editor for visual inspection and pre-processing. It supports data importing and exporting from/to various data sources. The statistical analysis program R constitutes the basis of JASP, but for users who are not familiar with programming, JASP is featured with a graphical user interface (GUI) so that the users can select analysis modules and modify options conveniently. To support users in academia, especially those in psychology, JASP provides functionalities for visualizing analysis results in tables and figures according to the American Psychological Association (APA) convention and presents options for modification once they are created.

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