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TopIllustrative Model And Data
Figure 1 shows an illustrative model that is used in our discussion about using confidence intervals and P values in hypothesis testing. This model contains five latent variables: internal social networking tool use (SN), job satisfaction (JS), organizational commitment (OC), job innovativeness (JI), and job performance (JP).
Figure 1. Illustrative model representation in WarpPLS. Notes: SN = internal social networking tool use; JS = job satisfaction; OC = organizational commitment; JI = job innovativeness; JP = job performance; notation under latent variable acronym describes measurement approach and number of indicators, e.g., (R)5i = reflective measurement with 5 indicators.
Internal social networking tool use (SN) measures the degree to which an employee uses a social networking tool (e.g., Facebook) made available internally in the employee’s organization to facilitate employee-employee socialization. This is the only exogenous (or independent) latent variable in the model. Job performance (JP), the main endogenous (or dependent) latent variable in the model measures the employee’s overall performance at work.
Three latent variables mediated the indirect relationship between SN and JP. Job satisfaction (JS) measures the degree to which the employee is satisfied with the organization. Organizational commitment (OC) measures the degree to which the employee is personally committed to the organization. Job innovativeness (JI) measures the degree to which the employee engages in innovative or creative behavior at work.
The figure has been created with WarpPLS, and thus employs the software’s notation for summarized latent variable description: the alphanumeric combination under each latent variable’s label (e.g., “JP”) in the model describes the measurement approach used for that latent variable and the number of indicators. For example, “(R)5i” means reflective measurement with 5 indicators.