Gwc Participation
Results
GWC program participation might contribute to STEM identity, but that effect might differ across GWC levels that indicate participants’ prior experience in computer science. Furthermore, the effect of program participation might differ across race as well. In order to measure the differences in STEM identity over time by GWC level and race, a 2X2x4 mixed design repeated measures ANOVA was conducted. Time was the within-subjects variable with two levels (pre and post). GWC level (beginner and intermediate) and race were two between-subjects variables. GWC level had two levels (beginner and intermediate); race had four levels (White, Asian, Black, and Latino).
Table 1 summarizes the results of the RM-ANOVA analysis by race and GWC level …show more content…
The predicted main effect of race on overall STEM interest was not significant, F(3,30) = 1.00, p > .05, = .10, nor was the predicted main effect of GWC level, F(1,30) = .33, p > .05, = .01. However, the main effect of time was statistically significant, F(1,30) = 6.56, p < .05, = .20, as well as the interaction between time and race, F(3,30) = 5.26, p < .01, = .40. This indicates that the overall STEM career interest improved among participants from pre (M = 80.34) to post (M = 90.43). Also, the effect of race on the overall STEM career interest is opposite, depending on the time, since there is no overall effect of race, F(3,30) = 1.00, p > .05, = .41. While overall STEM career interest increased among White (= 61.67, = 92.78), Black (= 84.40, = 85.40), and Latino (= 81.50, = 88.80) over time, it decreased among Asians (= 99.67, = 98.00).
There were no overall effects of time, GWC level, and race on career interest in science, mathematics, and computer science as well as the interactions. In contrast, the main effect of time on career interest in engineering was statistically significant, F(1,4) = 14.21, p < .05, = .78. The interaction between time and race was significant, F(2,4) = 19.31, p < .01, = .91, as well as the interaction between time and GWC level, F(1,4) = 13.08, p < .05, =
GWC program participation might contribute to STEM identity, but that effect might differ across GWC levels that indicate participants’ prior experience in computer science. Furthermore, the effect of program participation might differ across race as well. In order to measure the differences in STEM identity over time by GWC level and race, a 2X2x4 mixed design repeated measures ANOVA was conducted. Time was the within-subjects variable with two levels (pre and post). GWC level (beginner and intermediate) and race were two between-subjects variables. GWC level had two levels (beginner and intermediate); race had four levels (White, Asian, Black, and Latino).
Table 1 summarizes the results of the RM-ANOVA analysis by race and GWC level …show more content…
The predicted main effect of race on overall STEM interest was not significant, F(3,30) = 1.00, p > .05, = .10, nor was the predicted main effect of GWC level, F(1,30) = .33, p > .05, = .01. However, the main effect of time was statistically significant, F(1,30) = 6.56, p < .05, = .20, as well as the interaction between time and race, F(3,30) = 5.26, p < .01, = .40. This indicates that the overall STEM career interest improved among participants from pre (M = 80.34) to post (M = 90.43). Also, the effect of race on the overall STEM career interest is opposite, depending on the time, since there is no overall effect of race, F(3,30) = 1.00, p > .05, = .41. While overall STEM career interest increased among White (= 61.67, = 92.78), Black (= 84.40, = 85.40), and Latino (= 81.50, = 88.80) over time, it decreased among Asians (= 99.67, = 98.00).
There were no overall effects of time, GWC level, and race on career interest in science, mathematics, and computer science as well as the interactions. In contrast, the main effect of time on career interest in engineering was statistically significant, F(1,4) = 14.21, p < .05, = .78. The interaction between time and race was significant, F(2,4) = 19.31, p < .01, = .91, as well as the interaction between time and GWC level, F(1,4) = 13.08, p < .05, =