The above analyses are bivariate in nature. In order to obtain more holistic insights into
motivation based on this sample, logistic regressions are estimated for each of the
16motivation items; see Tables 5 and 6. The dependent variables are constructed by grouping
the two highest response categories and the remaining five, for each item. The explanatory
variables include dummy variables for employees vs.managers, women vs. men, and various
industries, along with the respondent’s age and an ordinal variable representing firm size.
While the logistic regression models are all characterized by low explanatory power,
they do shed some light on motivation in the Japanese context. Consistent with earlier
analyses, Hypothesis 2 receives some support, with female respondents’ tending to rate
three of the extrinsic motivation items higher than their male counterparts, after
controlling for job status, age, firm size, and industry.