Abstract
Should P values associated with path coefficients, as well as with other coefficients such as weights and loadings, be one-tailed or two-tailed? This question is answered in the context of structural equation modeling employing the Partial Least Squares Method (PLS-SEM), based on an illustrative model of the effect of e-collaboration technology use on job performance. A one-tailed test is recommended if the coefficient is assumed to have a sign (positive or negative), which should be reflected in the hypothesis that refers to the corresponding association. If no assumptions are made about coefficient sign, a two-tailed test is recommended. These recommendations apply to many other statistical methods that employ P values, including path analyses in general, with or without latent variables, plus univariate and multivariate regression analyses.
Keywords
Path coefficientUnivariateStructural equation modelingStatisticsMathematicsSign (mathematics)Multivariate statisticsContext (archaeology)Partial least squares regressionEconometricsLatent variableCoefficient of determinationPath analysis (statistics)Mathematical analysisGeography
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Publication Info
- Year
- 2015
- Type
- article
- Volume
- 11
- Issue
- 2
- Pages
- 1-7
- Citations
- 199
- Access
- Closed
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Cite This
Ned Kock
(2015).
One-Tailed or Two-Tailed P Values in PLS-SEM?.
International Journal of e-Collaboration
, 11
(2)
, 1-7.
https://doi.org/10.4018/ijec.2015040101
Identifiers
- DOI
- 10.4018/ijec.2015040101