ANOVA
Here, I will present three ANOVA results: hourly wages by extraversion, extraversion by occupation, and hourly wages by occupation. The first analysis shows the bivariate relationship of the collapsed extraversion and hourly wages. The purposes of the second and the third analyses are to investigate the role of occupations in the relationship of extraversion and hourly wages. Table 2 shows the ANOVA result of hourly wages by extraversion. I collapse extraversion into five groups. The result shows there are significant differences between the five groups on hourly wages. The general pattern indicates there is a positive line between the two and the mean logged hourly wages of group 1 (extraversion lower than 2) is significantly lower than other groups. Also, the highest extraversion groups has the mean hourly wages significantly differ from the mean wages of group 3. Figure 2 also shows the pattern.
Table 3 presents the relationship between extraversion and occupations. The result shows that management, business, and financial/computer, engineering, and science/ education, legal, community service, arts, media, and military/ healthcare practitioners and technical are significantly more extravert than services. The similar pattern can be seen in Table 4, which shows the relationship between occupation and …show more content…
Table 5 shows the results of the analysis. In Model one, the bivariate relationship between extraversion and hourly wages indicates a positive effect of extraversion. One point increases in extraversion would lead to 28.4% increase in hourly wages (e0.25=1.284). For those who have a zero on extraversion, they can earn 2.832 (e1.041=2.832) dollar per hour. The bivariate result supports my hypothesis 1 before controlling other variables. That is, extraversion has a positive effect on wages. However, the bivariate model only explains .5% of the variation in hourly
Here, I will present three ANOVA results: hourly wages by extraversion, extraversion by occupation, and hourly wages by occupation. The first analysis shows the bivariate relationship of the collapsed extraversion and hourly wages. The purposes of the second and the third analyses are to investigate the role of occupations in the relationship of extraversion and hourly wages. Table 2 shows the ANOVA result of hourly wages by extraversion. I collapse extraversion into five groups. The result shows there are significant differences between the five groups on hourly wages. The general pattern indicates there is a positive line between the two and the mean logged hourly wages of group 1 (extraversion lower than 2) is significantly lower than other groups. Also, the highest extraversion groups has the mean hourly wages significantly differ from the mean wages of group 3. Figure 2 also shows the pattern.
Table 3 presents the relationship between extraversion and occupations. The result shows that management, business, and financial/computer, engineering, and science/ education, legal, community service, arts, media, and military/ healthcare practitioners and technical are significantly more extravert than services. The similar pattern can be seen in Table 4, which shows the relationship between occupation and …show more content…
Table 5 shows the results of the analysis. In Model one, the bivariate relationship between extraversion and hourly wages indicates a positive effect of extraversion. One point increases in extraversion would lead to 28.4% increase in hourly wages (e0.25=1.284). For those who have a zero on extraversion, they can earn 2.832 (e1.041=2.832) dollar per hour. The bivariate result supports my hypothesis 1 before controlling other variables. That is, extraversion has a positive effect on wages. However, the bivariate model only explains .5% of the variation in hourly