The time has come: Bayesian methods for data analysis in the organizational sciences
The use of Bayesian methods for data analysis is creating a revolution in fields ranging from
genetics to marketing. Yet, results of our literature review, including more than 10,000 …
genetics to marketing. Yet, results of our literature review, including more than 10,000 …
Moderation in management research: What, why, when, and how
JF Dawson - Journal of business and psychology, 2014 - Springer
Many theories in management, psychology, and other disciplines rely on moderating
variables: those which affect the strength or nature of the relationship between two other …
variables: those which affect the strength or nature of the relationship between two other …
[HTML][HTML] Improving the utility of non-significant results for educational research: A review and recommendations
When used appropriately, non-significant p-values have the potential to further our
understanding of what does not work in education, and why. When misinterpreted, they can …
understanding of what does not work in education, and why. When misinterpreted, they can …
Correlational effect size benchmarks.
Abstract Effect size information is essential for the scientific enterprise and plays an
increasingly central role in the scientific process. We extracted 147,328 correlations and …
increasingly central role in the scientific process. We extracted 147,328 correlations and …
Selective incivility as modern discrimination in organizations: Evidence and impact
This collection of studies tested aspects of Cortina's theory of selective incivility as a
“modern” manifestation of sexism and racism in the workplace and also tested an extension …
“modern” manifestation of sexism and racism in the workplace and also tested an extension …
[BOOK][B] Effect sizes for research: Univariate and multivariate applications
RJ Grissom, JJ Kim - 2012 - taylorfrancis.com
Noted for its comprehensive coverage, this greatly expanded new edition now covers the
use of univariate and multivariate effect sizes. Many measures and estimators are reviewed …
use of univariate and multivariate effect sizes. Many measures and estimators are reviewed …
Statistical inference with PLSc using bootstrap confidence intervals
Partial least squares (PLS) is one of the most popular statistical techniques in use in the
Information Systems field. When applied to data originating from a common factor model, as …
Information Systems field. When applied to data originating from a common factor model, as …
[HTML][HTML] Using anchor-based methods to determine the smallest effect size of interest
Abstract Effect sizes are an important outcome of quantitative research, but few guidelines
exist that explain how researchers can determine which effect sizes are meaningful …
exist that explain how researchers can determine which effect sizes are meaningful …
Inductive reasoning: The promise of big data
Abstract Theory is a cornerstone of organizational research. Recently, however, some
organizational scientists have argued that there is an overemphasis on theory development …
organizational scientists have argued that there is an overemphasis on theory development …
Making quantitative research work: From positivist dogma to actual social scientific inquiry
Researchers misunderstand their role in creating ethical problems when they allow dogmas
to purportedly divorce scientists and scientific practices from the values that they embody …
to purportedly divorce scientists and scientific practices from the values that they embody …