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. Run FREQUENCIES in PSPP for the variables d1_age and d9_sibs.
#Using pspp 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. PSPP will also compute a measure of skewness. The best way to determine the skewness of a distribution is to tell PSPP to give you a histogram along with the mean and median. Here are graphs of positively and negatively skewed distributions compared to a normal distribution. One way to remember this is to recall that any value to the left of zero is negative and any value to the right of zero is positive. If the longer tail is to the right, then it is called a positively skewed distribution. If the longer tail is to the left, then it is called a negatively skewed distribution. In a skewed distribution one side has longer or fatter tails than the other side. Skewness measures the deviation of a particular distribution from this symmetrical pattern. So the mean always has a standard score of zero. In a normal distribution, the mean, median, and mode are all equal and are at the center of the distribution. You would expect to find approximately 34% of the cases between the mean and a standard score of +1 or -1. The percents tell us the percent of cases that you would expect between the mean and a particular standard score if the distribution was perfectly normal. So a standard score of +1 is one standard deviation above the mean and a standard score of -1 is one standard deviation below the mean. The horizontal axis is marked off in terms of standard scores where a standard score tells us how many standard deviations a value is from the mean of the normal distribution. Here’s a graph showing what a normal distribution looks like.
![using pspp using pspp](http://jsce.or.jp/prize/tech/ph/2006_7.jpg)
In a normal distribution the mean, median, and mode are all equal.
![using pspp using pspp](https://www.myassignmenthelp.net/images/pspp-assignment-help.jpg)
The exercise also gives you practice in using FREQUENCIES in PSPP.Ī normal distribution is a unimodal (i.e., single peak) distribution that is perfectly symmetrical. The goal of this exercise is to explore measures of skewness and kurtosis.
![using pspp using pspp](https://news-cdn.softpedia.com/images/news2/how-to-install-pspp-on-your-mac-499276-2.jpg)
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 FREQUENCIES in PSPP to explore measures of skewness and kurtosis. The data have been weighted according to the instructions from the National Opinion Research Center.
![using pspp using pspp](https://1.bp.blogspot.com/-OaSnld0VrXQ/XZWZe51TJPI/AAAAAAAADW8/H6a71TVf9kQ8gT4IIlerB2r40qOmQIW3QCLcBGAsYHQ/s1600/pspp1.jpg)
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.