That’s what we call a positive linear relationship. The line would start in the lower left and continue towards the upper right of the plot. Moreover, you can imagine drawing a straight line that represents this relationship. In general, as one of the variables increases, the other variable tends to increase as well. You see more cases in the upper right and lower left of the plot and fewer cases in the upper left and lower right. Now look for the general pattern to the scatterplot. However, you will have to do this each time you encounter a list of variables. You can change the way PSPP lists the variables by right clicking anywhere on the list of variables and selecting “Prefer variable labels” and that will list the variables by name. However, it’s easier to find the variables if they are listed by variable names. PSPP lists the variables using the variable labels. PSPP will list the variables and you will select those variables you want to use. Click on “OK” and PSPP will display your graph. Click on “GRAPHS” in the menu bar and then on “Scatterplot.” So all our scatterplots will look the same let’s put d22_maeduc on the X-axis and d24_paeduc on the Y-Axis. The terminology also changes in the sense that we’ll refer to these measures as correlations rather than measures of association.īefore we look at these measures let’s talk about a type of graph that is used to display the relationship between two variables called a scatterplot. In this exercise we’re going to look at two different measures that are appropriate for interval and ratio level variables. In a previous exercise (STAT11S) we considered different measures of association that can be used to determine the strength of the relationship between two variables that have nominal or ordinal level measurement (see STAT1S). 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 using GRAPHS, BIVARIATE CORRELATION, and COMPARE MEANS in PSPP. The goal of this exercise is to introduce measures of correlation. 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. 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. STAT13S_pspp: Exercise Using PSPP to Explore Correlationįresno, CA 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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