In both these exercises the variables in the regression analysis were interval or ratio (STAT1S). Multiple linear regression (STAT15S) expands the analysis to include multiple independent variables. In a previous exercise (STAT14S) we considered linear regression for one independent and one dependent variable which is often referred to as bivariate linear regression. Your instructor will tell you how to access this data set which is called gss14_subset_for_classes_STATISTICS.sav. For this exercise we’re going to use a subset of the 2014 GSS. The GSS started in 1972 and has been an annual or biannual survey ever since. The GSS is a national probability sample of adults in the United States conducted by the National Opinion Research Center (NORC).
We’re going to use the General Social Survey (GSS) for this exercise. The exercise also gives you practice using LINEAR REGRESSION, FREQUENCIES, SELECT CASES, and COMPUTE in SPSS. The goal of this exercise is to introduce dummy variable regression.
#SPSS 23 HOW TO RENAME VARIABLE WINDOWS#
A good reference on using SPSS is SPSS for Windows Version 23.0 A Basic Tutorial by Linda Fiddler, John Korey, Edward Nelson (Editor), and Elizabeth Nelson. This exercise uses LINEAR REGRESSION in SPSS to explore dummy variable regression and also uses FREQUENCIES, SELECT CASES, and COMPUTE. The data have been weighted according to the instructions from the National Opinion Research Center. Some of the variables in the GSS have been recoded to make them easier to use and some new variables have been created. Email: to the Instructor: The data set used in this exercise is gss14_subset_for_classes_STATISTICS.sav which is a subset of the 2014 General Social Survey.