Tests of hypotheses Sample Clauses

Tests of hypotheses. Hypothesis 1
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Tests of hypotheses. Table 3 summarizes the path coefficients for the hypothesized model, and standardized coefficients are presented in Fig. 2. Both clauses of Hypotheses 1a and 1b were supported; procedural justice was positively related to intrapersonal need fulfillment (β = 0.16, p = .04) and interpersonal justice was positively related to interpersonal need fulfillment (β = 0.17, p = .005). Hypotheses 2a and 2b were also supported by the data, as the paths from job autonomy to intrapersonal need fulfillment and from coworker support to interpersonal need fulfillment were positive and statistically significant (β = 0.14, p = .04 and β = 0.37, p < .001, respectively). In addition, when estimating Model 2, the paths from procedural justice and job autonomy to interpersonal need fulfillment (β = 0.08, p = .34 and β = 0.09, p = .16, respectively) and from interpersonal justice and coworker support to intrapersonal need fulfillment (β = 0.10, p = .12 and β = 0.07, p = .32, respectively) were not significant; this lends support to our general thesis regarding the distinctiveness of intrapersonal and interpersonal need fulfillment and its respective differential pre- dictors. Hypothesis 3 was also supported, in that the path coefficients from POS to both intrapersonal and interpersonal need ful- fillment were positive and statistically significant (β = 0.46, p < 0.001 and β = 0.37, p < .001, respectively).
Tests of hypotheses. Table 5 models new venture survival and reports the results of the hypothesis testing. The initial model provides a baseline test of the core industry, firm, and team effects of interest (H1- H5). These core tests are thus repeated as the business model interactions associated with each of the sub-hypotheses are introduced in Models 2-11. Separate models for each interaction sub- hypotheses were run to address concerns with multicollinearity. Because the reported results are based on a Xxx hazards regression, the z-score coefficients are in the opposite direction of what would be reported in standard regressions; this is because negative coefficients correspond with a reduced hazard rate (or a positive effect on venture survival) and positive coefficients correspond with an increased hazard rate (or a negative effect on venture survival).

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