Another way to put this is that the two variables are independent of each other.
![pspp syntax pspp syntax](https://image3.slideserve.com/5775840/identifikace-a-ozna-en-chyb-j-c-ch-hodnot-p-klad-v-k-student-v-pokra-ov-n-l.jpg)
Chi Square is the appropriate test when your variables are nominal or ordinal (see STAT1S_pspp).Ĭhi Square is a test of the null hypothesis that two variables are unrelated to each other. Chi Square was used to test hypotheses about the population. We used the sample data to make inferences about the population from which the sample was selected. In exercise STAT10S_pspp we went beyond simple description. In a previous exercise (STAT9S_pspp) we used crosstabulation and percents to describe the relationship between pairs of variables in the sample. The 2014 GSS is a sample from the population of all adults in the United States at the time the survey was done.
#Pspp syntax how to#
Your instructor will tell you how to access this data set which is called gss14_subset_for_classes_STATISTICS_pspp.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 in using CROSSTABS in PSPP. The goal of this exercise is to introduce measures of association.
![pspp syntax pspp syntax](https://garyfisk.com/pspp/img/graphScatterDialog.jpg)
This exercise uses CROSSTABS in PSPP to explore measures of association. 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_pspp.sav which is a subset of the 2014 General Social Survey.