FinalL316Report-Group4

# The positive one value signifies that the participant

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understanding of victim-blaming behavior. The positive one value signifies that the participant answered “true” before the program and “false” after. We like to see a positive value in general because it means that the program was helping them understand the concept of perpetuate victim-blaming behavior. If the average of the dummy variable value is zero, it means that the program doesn’t address or clearly address the issue. We will use a linear regression to understand whether age has an effect on this variable or not. Table 8: Regression Analysis between age and percentage of students who learned about perpetuating victim-blaming behvior Variable B SE P R-squared Age -0.026 0.012 0.024 0.003 Constant 0.365 0.155 0.019 The regression analysis from Stata gave us two values: the constant and also the age coefficient. The constant of 0.365 tells us that if the participant is zero years of age, about 36.5% of them will learn about perpetuate victim-blaming behavior through the program. However, we are unable to interpret this value because the age 0 is outside of the given age range. The coefficient of -0.026 means that as the participants get older, they are less likely to learn and answer the question correctly by 2.6%. To look at the age that we are interested in, the following table gives us the average value for each of the age groups that we surveyed. Table 9: Expected dummy variable value for each age from regression analysis Age 11 12 13 14 15 16 17 18 Coefficient 0.079 0.053 0.027 0.001 -0.025 -0.051 -0.077 -0.103 As Table 9 shows, the dummy variable coefficient decreases as the age goes up. At age 15, the coefficient becomes negative. This series of decreasing value means that the older participants are less likely to learn the correct answer after the program. The p- value of the dummy variable constant and the age coefficient are 0.019 and 0.024, respectively. The relatively low P-value signifies that the results are not due to randomness. This means that there is a relationship between age and the likelihood to decrease their behavior. Able to identify stereotypical gender roles In order to have a healthy relationship is important to understand that abuse is not gender specific. Men and women can be the victims of sexual abuse and understanding

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this is paramount to a person’s ability to get out of harmful relationships. In the survey, questions 8, 13, 14 , 19, 23 address this concern. While question 8 and 14 both deal with abuse and who can be the victim, questions 13, 19 and 23 talk about gender and stereotyping. The responses to these questions before and after the course will allow for an assessment of how well people are able to understand how gender stereotypes are detrimental to healthy relationships. Because the participants in the survey varied in age, their ability to identify stereotypical gender roles may vary. In order to determine this, the responses to questions 8, 13, 14, 19, and 23 before and after the course were scaled. In order to scale these questions a numeric value of “1” for correct and “0” for incorrect was assigned to each question. For the purposes of this analysis, the scaled values for the pre and posttest need to represent the total number of correct answers that the participants had. So a value was
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• Spring '13
• JoeDiGrazia
• Regression Analysis, younger age, Regression Analysis of Age and Factors

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