Table a descriptive statistics for the variable

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Table A: Descriptive Statistics for the Variable Analyzed: Age Variable Mean Median Mode Range Age 13.42 13 13 [11, 18] Table 1: Regression Analysis of Age and Factors in Sexual Violence Variable B SE P Age 0.0013 0.0089 0.210 Factors in Sexual Violence 0.7199 0.1214 0.00 Analytical Strategy First, we decided to tabulate age and the selected results for each question in order to be able to just generally compare the data for the two surveys and also calculated Pearson chi-squared and Cramer’s V values for each question in order to determine the strength of the relationship between the variables. Next we decided to run a regression analysis as opposed to a logistical analysis, because when the results were tabulated through Stata, they were relatively congruous and regression analysis is easier to analyze, it was better to use it to fully understand the results. In some cases, it was necessary to perform hypothesis testing in order to truly understand how much age affected the results. In order to do this, for some the true-false questions, we created an extended dummy variable for each combination of answers before and after they go through the program. The variable we created gave each responder a value of -1, 0, or 1. The zero means that the responder did not change their answer, meaning they already know or did not learn the right material during the program. The negative one value is given to individuals that answered “false” first and then “true.” This is given a negative value because it signifies that the program has a negative impact on the participants understanding the concepts. Increased knowledge of risk factors Table 2 Table 3 Before Program After Program Age Incorrect Correct (A) Total Age Incorrect Correct(A) Total 11 0 4 4 11 1 3 4 12 30 156 186 12 25 172 197 13 32 231 263 13 23 252 275 14 3 17 20 14 3 17 20 15 7 64 71 15 9 62 71 16 10 79 89 16 10 83 93 17 1 9 10 17 1 9 10 18 0 2 2 18 0 2 2 83 562 645 72 600 672 While comparing age to whether or not the student gained an increased knowledge of the risk factors for sexual violence, tab analysis shows that there is a relationship between age and whether or not the participant got the correct answer for question 22 in both surveys before and after the program. This question asks: Using alcohol and drugs _________ of dating violence and sexual violence. It then gives four multiple-choice possibilities, a. increases the risk, b. does not change the risk, c.
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decreases the risk, d. is a direct cause, with the correct answer being a. increases the risk. Even from just looking at the cross-tabulated results you can see that there is somewhat of a relationship. However, this relationship is very weak, which shows that age may not contribute as a factor for the overall increased knowledge after the program. Regression analysis helps to provide a clearer picture of this relationship. For the multiple choice question regarding the effect of alcohol and drugs as risk factors for sexual violence while holding age constant, there is a 0.7199 probability that the student will get the correct answer for the pre-survey. With every year of age there is an expected increase of 0.0113 in probability (Table 4 below). Age accounts for 0.24% of the total
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  • Spring '13
  • JoeDiGrazia
  • Regression Analysis, younger age, Regression Analysis of Age and Factors

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