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One-Tailed or Two-Tailed P Values in PLS-SEM?

One-Tailed or Two-Tailed P Values in PLS-SEM?

Ned Kock
Copyright: © 2015 |Volume: 11 |Issue: 2 |Pages: 7
ISSN: 1548-3673|EISSN: 1548-3681|EISBN13: 9781466676121|DOI: 10.4018/ijec.2015040101
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MLA

Kock, Ned. "One-Tailed or Two-Tailed P Values in PLS-SEM?." IJEC vol.11, no.2 2015: pp.1-7. http://doi.org/10.4018/ijec.2015040101

APA

Kock, N. (2015). One-Tailed or Two-Tailed P Values in PLS-SEM?. International Journal of e-Collaboration (IJeC), 11(2), 1-7. http://doi.org/10.4018/ijec.2015040101

Chicago

Kock, Ned. "One-Tailed or Two-Tailed P Values in PLS-SEM?," International Journal of e-Collaboration (IJeC) 11, no.2: 1-7. http://doi.org/10.4018/ijec.2015040101

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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.

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