期刊
INTERNATIONAL JOURNAL OF E-COLLABORATION
卷 11, 期 2, 页码 1-7出版社
IGI GLOBAL
DOI: 10.4018/ijec.2015040101
关键词
E-Collaboration; Indicator; Latent Variable; Monte Carlo Simulation; One-Tailed Test; Partial Least Squares; Structural Equation Modeling; Two-Tailed Test
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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