Program Evaluation

1) Astrologers assert that our birth dates influence our success (or lack thereof) in life. Test this assumption with the GSS2014 data by analyzing the relationship between respondent’s astrological sign (ZODIAK) with respondent’s socioeconomic index (SEI10). The SEI10 is an indicator of economic and socio-economic attainment: The higher the SEI score, the more successful the respondent. Make a prediction: Can a person’s astrological sign predict their socioeconomic success? Yes No If so, what zodiac sign is the most successful ____________ Now perform the analysis using the GSS2014 data Mean SEI10 of Pisces _______ Mean SEI10 of taurus Mean SEI10 of your astrological sign ______________ ANOVA significance level ______________ Is the relationship statistically significant? Yes No On the basis of these data, would you say that astrologers are correct in their assertion of the power of the stars? Why? FOR THE LAST TWO EXERCISES, SEE ABOVE FOR THE SYNTAX SEQUENCE (IN THE WALK THROUGH) BUT MAKE SURE YOU HAVE THE CORRECT VARIABLE NAMES AND IN THE PROPER ORDER 2) Test whether there is an association between a person’s educational attainment and how much television they watch. Use the GSS2014 data set to perform an ANOVA on respondents’ highest educational degree (DEGREE) and the hours per day they watch television (TVHOURS) Make a prediction: Predict the number of hours each group watches television in a given day: Less than High School Some College Graduate High School Grad College Grad Degree __________ __________ __________ __________ __________ Now perform the analysis with PSPP and find: Mean hours for people with less than a high school degree ___________________ Mean hours for people with a high school degree ___________________ Mean hours for people with a junior college degree ___________________ Mean hours for people with a bachelor’s degree ___________________ Mean hours for people with a graduate degree ___________________ ANOVA significance level ___________________ Is the relationship statistically significant Yes No According to the Tukey Test, which categories have means that are significantly different from the means of those with a high school degree? 3) Test whether there is an association between a person’s race and the prestige of their occupation. Use the GSS2014 data set to perform an ANOVA on RACE and PRESTG10. You are to do a turkey test at the end of this one as well so it is easier to just run the syntax like you did for exercise 2. Mean prestige score for Whites ___________________ Mean prestige score for African Americans ___________________ Mean prestige score for other races ___________________ ANOVA significance level ___________________ Is the relationship statistically significant Yes No According to the Tukey Test, which categories have means that are significantly different from the means of Whites? On the basis of these data, would you say that race is associated with occupational prestige? What could explain this relationship?