1220 Words5 Pages

Research Question & Hypotheses
Research Question
What is the relationship between genders and math comfortability when controlling for class type?
Hypotheses
Null Hypothesis (H0): There is no statistically significant relationship between gender and math comfortability when controlling for class type.
Alternative Hypothesis (HA): There is a statistically significant relationship between gender and math comfortability when controlling for class type.
Variables
Independent Variables (IV): Gender coded 0 = Male, 1= Female
Dependent Variables (DV): Math comfortability coded (values) in your dataset.
Covariate: Class type (experimental, flipped, traditional)
Methodology
The quantitative study was conducted looking at preservice*…show more content…*

I am able to determine if the independent variable is statistically significant. The main result of the one-way ANCOVA is determined in the test between-subject effects table. Looking at the data, overall, I want to know if there are statistically significant differences in the intervention once the means were adjusted between groups. I want to know whether gender and math comfortability are statistically significant when controlling for different teaching styles. When there are statistically significant differences between the independent variable Bonferroni post hoc tests was used to determine where the difference lies in the Pairwise Comparison table. The following are the results of my study. Analysis/Results An ANCOVA was run to determine the effect of math comfortability for preservice teachers, when they completed their courses, across gender, while controlling for the types of classes they were involved. There was homogeneity of regression slopes as the interaction term was not statistically significant, F(1, 332) = .691, p = .406. After adjustment the main effect of gender was statistically significant F(1, 332) = 1.216, p < .0005, partial η2 = .004. Post hoc analysis was performed with a Bonferroni adjustment. Post-intervention of class type were statistically significant for gender, the males (mean differences of 75.9623 (95% CI, 73.992 to 77.891; females (mean

I am able to determine if the independent variable is statistically significant. The main result of the one-way ANCOVA is determined in the test between-subject effects table. Looking at the data, overall, I want to know if there are statistically significant differences in the intervention once the means were adjusted between groups. I want to know whether gender and math comfortability are statistically significant when controlling for different teaching styles. When there are statistically significant differences between the independent variable Bonferroni post hoc tests was used to determine where the difference lies in the Pairwise Comparison table. The following are the results of my study. Analysis/Results An ANCOVA was run to determine the effect of math comfortability for preservice teachers, when they completed their courses, across gender, while controlling for the types of classes they were involved. There was homogeneity of regression slopes as the interaction term was not statistically significant, F(1, 332) = .691, p = .406. After adjustment the main effect of gender was statistically significant F(1, 332) = 1.216, p < .0005, partial η2 = .004. Post hoc analysis was performed with a Bonferroni adjustment. Post-intervention of class type were statistically significant for gender, the males (mean differences of 75.9623 (95% CI, 73.992 to 77.891; females (mean

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