![]() ![]() However, some tasks cannot be accomplished from the menus, and others are more quickly carried out by typing a few key words than by working through a long series of menus and dialogs. Menus and dialog boxes are useful because they give you visual reminders of (most of) your options with each step of your analysis. The good news for beginners is that you can accomplish most basic data analysis through menus and dialog boxes without having to actually learn the SPSS language. The SPSS software is built around the SPSS programming language. Those who plan on doing more involved research projects using SPSS should follow up this brief intro with more in-depth training.įor information about SSCC lab accounts, the labs, Winstat and more see Information for SSCC Instructional Lab Users. ![]() ![]() This document is intended for students taking classes that use SPSS Statistics or anyone else who is totally new to the SPSS software. Want to learn more? If you’re just getting started with data analysis in SPSS, or would like a thorough refresher, please join us in our online workshop Introduction to Data Analysis in SPSS.IBM SPSS Statistics is software for managing data and calculating a wide variety of statistics. In the ‘Output Labels’ tab, choose ‘Values and Labels’ in the second and fourth boxes. Like Variable Labels, you can get Value Labels on output, along with the actual values. If you’d rather see Male and Female in the data set than 0 and 1, go to View–>Value Labels.Ģ. But by having Value Labels, your data and output still give you the meaningful values.ġ. And it makes data entry much more efficient–you can type in 1 and 0 for Male and Female much faster than you can type out those whole words, or even M and F. Labeling values right in SPSS means you don’t have to remember if 1=Strongly Agree and 5=Strongly Disagree or vice-versa. Value Labels are similar, but Value Labels are descriptions of the values a variable can take. In the Output tab, choose ‘Names and Labels’ in the first and third boxes. On the output, SPSS allows you to print out Variable Names or Variable Labels or both. In the General tab, choose Display Labels.ģ. In dialog boxes, lists of variables can be shown with either Variable Names or Variable Labels. Mouse over the variable name in the Data View spreadsheet to see the Variable Label.Ģ. The really nice part is SPSS makes Variable Labels easy to use:ġ. It’s just more efficient–you don’t have to look up what those variable names mean when you read your output. When a committee member or reviewer wants you to redo an analysis, it will save tons of time to have those variable labels right there.Ĥ. As entrenched as you are with your data right now, you will forget what those variable names refer to within months. Anyone else who uses your data–lab assistants, graduate students, statisticians–will immediately know what each variable means.ģ. If your paper code sheet ever gets lost, you still have the variable names.Ģ. I know you want to get right to your data analysis, but using Variable Labels will save so much time later.ġ. There are good reasons for using Variable Labels right in the data set. On questionnaires, I often use the actual question. You then use Variable Labels to give a nice, long description of each variable. SPSS doesn’t limit variable names to 8 characters like it used to, but you still can’t use spaces, and it will make coding easier if you keep the variable names short. Using these every time is good statistical practice. SPSS Variable Labels and Value Labels are two of the great features of its ability to create a code book right in the data set. ![]()
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