- A Researcher Used 1998 Gss Data N 1235 To Test Whether Level Of Education Influences Occupational Prestige The Level 1 (26.52 KiB) Viewed 25 times
- A Researcher Used 1998 Gss Data N 1235 To Test Whether Level Of Education Influences Occupational Prestige The Level 2 (27.63 KiB) Viewed 25 times
- A Researcher Used 1998 Gss Data N 1235 To Test Whether Level Of Education Influences Occupational Prestige The Level 3 (37.06 KiB) Viewed 25 times
2. Using the STATA output 2, write out the regression line and substantibely interpret the slope of the equation
3. Using the information STATA output 1, calculate rhe R-squated (blue box). How strong is fhe relationship between respondent's education and respondent's occupational prestige?
4. Using information STATA output 2, calculate R-squared (yellow box). How strong is the relationship between respondent's education and spousal occupational prestige?
5. Using information STATA output1, calculate 1-statistics (orange box). Is the association between respondent's education and respondent's occupational prestige statistically significant? How can you tell?
6. Using information Output 2, calculate 95% confidence interval of the coefficient of spousal's education (green box). Interpret 95% confidence interval.
A researcher used 1998 GSS data (n=1235) to test whether level of education influences occupational prestige. The level of education is measured in year of school completed and the occupational prestige ranges from 17 to 86 with a higher score indicating a more prestigious job. The researcher investigated the association between respondent's education and respondent's occupational prestige. She also examined the association between respondent's education and spousal occupational prestige (respondent's spouse). Her regression readouts in STATA are listed below.
STATA OUTPUT 1: Association between respondent's education and respondent's occupational prestige Source SS df MS 1,235 512.48 0.0000 Model Residual 67186.0723 161644.846 1 67186.0723 1,233 131.098821 Number of obs F(1, 1233) Prob > F R-squared Ad) R-squared Root MSE 0.2930 11.45 Total 228830.918 1,234 185.438345 Coef. prestg88 t Std. Err. Psit 1954 Conf. Intervall educ cons 2.553622 11.26701 .1128019 1.565999 0.000 0.000 2.332317 8.194689 2.774927 14.33932 7.19
STATA OUTPUT 2: Association between respondent's education and spousal occupational prestige Source SS df MS Model Residual 30655.5606 188711.492 Number of obs F(1, 1233) Prob > F R-squared Ad) R-squared Root MSE 1, 235 200.30 0.0000 1 30655.5686 1,233 153.050683 Total 219367.053 1,234 177.769086 0.1390 12.371 sppresse Coef. Std. Err. t P>t (95% Conf. Intervall educ cons 1.724931 22.1562 .1218806 1.692037 14.15 13.09 0.000 8.000 18.83661 25.47579