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Multiple regression (path analysis) was used to test for mediation in the hypothesis using Baron and Kenny's (1986) four step approach in which several regression analyses are conducted and significance of the coefficients are examined at each step.
Table 4 presents the results of several regression analyses.
We took the same approach by conducting several regression analyses.
Several regression analyses shown in Table 2 exhibit significant interaction terms between the two factors.
After that, several regression analyses were performed (level 2 predicted by level 1, level 3 predicted by level 1 and 2) to check assumptions.
To analyze the research questions formulated in Section 3, we performed several regression analyses of the relevant outcome dimensions (process, subjective evaluation, problem understanding, and the ex-post test) on experimental factors, user characteristics, and their interactions.
Similar(51)
Various regression analyses were performed.
Several different regression analyses are performed, and also different segments are analyzed.
Path analysis was applied to examine the research questions with several multiple regression analyses (Cohen and Cohen, 1983).
Several multiple regression analyses were conducted, with objective and subjective workload as outcome measures.
In addition, several meta regression analyses were further employed to assess the impacts of study characteristics on the associations between PM2.5 exposure and preterm birth risks.
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