SOCY 2112 Research Methods II

Each group will build a causal model to explain one DV. Compute the linear model and interpret the results, as appropriate. Paste your R code beneath your interpretation.

A. political view
B. feminism
C. religiosity
D. party affiliation

Develop a multiple regression model to explain our DV, favorability toward Trump. Compute the model. Interpret the results, as appropriate. Paste your R code beneath your interpretation. Include any recoding or indexing you did.

Identify a set of numeric or binary IVs that you think could explain our DV, favorability toward big business. You can retain some or all of the variables from the example and add additional ones, or you can select a different set of IVs. You must explain each variable that you put into the model.

Compute the linear model. Interpret the results, as appropriate. We'll see which group has the best fitting model (explains the most variation in our DV). Paste your R code below your interpretation.

Identify a numeric IV that you think could explain our DV, favorability toward big business. Compute the linear model. Interpret the results, as appropriate. We'll see which group has the best fitting model (explains the most variation in our DV). Paste your R code below your interpretation.

Select two numeric variables from ANES 2016 and compute the correlation coefficient. Interpret the results, as appropriate.

Select a third numeric variable that you think might mediate the relationship between the first two variables. Compute the partial correlation coefficient. Interpret the results, as appropriate.

What have you learned from the correlation and partial correlation?

Compose your answers in a Word/Pages/Google document (or the equivalent kind of file) and email prior to the due date or print and bring to class on the due date. Test your code in R before submitting your lab, so that you know it is correct. Be careful to write the code exactly, or copy the code from the R console into your word processor to ensure accuracy.

1. Select two numeric variables in ANES 2016. Compute the correlation coefficient. Interpret the results, as appropriate.

Keep the same DV and select two new categorical IVs and compute the factorial model. Interpret the results, as appropriate. Paste your R code beneath your interpretation.

We'll examine another example of a linear model with two categorical independent variables and a numeric dependent variable. In the group exercise, you'll select new independent variables to explain variation in the same dependent variable.

# Our DV will be favorability toward the Tea Party movement, V162109