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. Part I – Linear Regression with Multiple Independent Variables The exercise also gives you practice using LINEAR REGRESSION, FREQUENCIES, and SELECT CASES in PSPP. The goal of this exercise is to introduce multiple linear regression. Extended notes for instructors (MS Word docx format).Please contact the author for additional information. Included with this exercise (as separate files) are more detailed notes to the instructors and the PSPP syntax necessary to carry out the exercise. Please send a copy of any revision to the author. I prepared two documents to help you with PSPP – “ Notes on Using PSPP” and “ Differences Between PSPP and SPSS” which should answer many of your questions about PSPP. You have permission to use this exercise and to revise it to fit your needs. This exercise uses LINEAR REGRESSION in PSPP to explore multiple linear regression and also uses FREQUENCIES, BIVARIATE CORRELATION, and SELECT CASES. 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. Note to the Instructor: The data set used in this exercise is gss14_subset_for_classes_STATISTICS_pspp.sav which is a subset of the 2014 General Social Survey.
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