Now I must compute Pearson's r in order to measure the linear correlation between the two variables. The Pearson r for the two variables is .386. The statistical analysis computed by the SPSS did not give me the .05 or .01 critical values of r in order to reject or accept the hypothesis. Instead, the analysis stated that the correlation was significant at the 0.01 level of a two-tailed test. I will take the computers word for it. The hypothesis was confirmed at a moderate level. As mother's level of education goes up so do her kids levels of education.

In order to confirm our hypothesis we must investigate to see if there is a linkage between family background, education, and status attainment (Carter). In order to do this I have to establish that there is an association between maeduc and educ. I am going to use three different approaches and methods to establish that there is a relationship (Carter). I first had to go through the process of re-coding my variables at the median.

I then went on to compute another statistical analysis. I am now going to compute an intervening variable analysis while controlling for a variable. I am doing this to check and see if race had a spurious relationships with my model. The first thing I did was re-code the variable race. I have to re-code race into a dichotomous variable because this allows me to calculate Pearson's r and compute regression analysis. I want my two groups to be black and white this will account for more samples. I will call this group race2.

I will know examine the original value of b for race2 and prestg80, as well as its level of significance. The original value of b is 4.644 with a significance value of 0.00. This is stating that being white gives you about 5 more prestigious points on our prestg80 scale. When we control for education we also expect value to decrease. As I control for education we see the partial b drop to 2.316 with a significance level of 0.000. Now there is only a 2 point difference between whites and blacks. Our linear regression equation for this is y=15.98+2.358. (SEE DATA ATTACHED)

I tested my hypothesis by conducting several different statistical techniques. The first statistical technique I used was descriptive statistics. This statistical technique displayed for me histograms and stem-and-leaf plots. It also gave me important information about the variables, such as: mean, median, range, standard deviation, and skew-ness. I also used cross-tabulations to find gamma, chi squared, and percentage differences. I used a simple bivariate correlation to find Pearson's r. I utilized partial correlations to find partial r for two variables. I also performed multiple linear regression analysis to find the unstandardized slope for b and the standardized slope for beta, this also allowed me to control for different variables.

Some topics in this essay:
DATA ATTACHED, University Chicago, Carter Status, Blacks Latinos, , ATTACHED Conclusions, Social Survey, research study, status attainment, levels education, level education, mode mean, linear regression, mean median, social prestige, chi squared, formal education, mean median mode, STAT DATA, white people levels, original value race2, hypothesis white people, levels social prestige,