There is a menu and tool bar at the top of each window and many of the functions are the same as Excel. It is user friendly and best learned by doing. I recommend the use of the Tutorial which can be found in the Help menu. The following notes are a few introductory comments and tips to introduce you to the basics of SPSS.

Those who plan on doing more involved research projects using SPSS should follow up this brief intro with more in-depth training. 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.

Menus and dialog boxes are useful because they give you visual reminders of most of your options with each step of your analysis. 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.

As a beginner, it will be strategic to learn a bit of both SPSS programming and the menus. In the long run, you will want to learn to just work directly in the programming language, because this is how you document your work, and good documentation is key to both trouble-shooting and replicating complicated projects.

For now, we assume you are just carrying out very simple tasks. Part two discusses common statistics, regression, and graphs.

When SPSS is first started you are presented with a dialog box asking you to open a file. Pick a recently opened file or pick "Open another file" from the list on the left.

Typically you start your SPSS session by opening the data file that you need to work with. These allow you to 1 see your data, 2 see your statistical output, and 3 see any programming commands you have written.

Each window corresponds to a separate type of SPSS file. You will always have at least one Data Editor open even if you have not yet opened a data set.

When you open an SPSS data file, what you see is a working copy of your data. Changes you make to your data are not permanent until you save them click File - Save or Save As. Data files are saved with a file type of. To open a different data set, click File - Open - Data.

SPSS lets you have many data sets open simultaneously, and the data set that you are currently working with, the active data set, is always marked with a tiny red "plus" sign on the title bar.

In order to avoid confusion it is usually a good strategy to close out any Data Editors you're done using. New data values will show up in the Data Editor. Statistical results will show up in the Output Viewer.

The Output Viewer shows you tables of statistical output and any graphs you create. By default it also show you the programming language for the commands that you issued called syntax in SPSS jargonand most error messages will also appear here.

The Output Viewer also allows you to edit and print your results. As with Data Editors, it is possible to open more than one Output Viewer to look at more than one output file.

The active Viewer, marked with a tiny blue plus sign, will receive the results of any commands that you issue. If you close all the Output Viewers and then issue a new command, a fresh Output Viewer is started. If you are also using the menus and dialog boxes, the Paste button automatically writes the syntax for the command you have specified into the active Syntax Editor.There is no equivalent in SPSS as SPSS only stores data, not the formula or Compute command that the data was calculated from.

If you need to import an Excel file that uses many formula as a work around you can copy the entire datasheet to a new sheet using . Cheat Sheet. Statistics For Dummies Cheat Sheet. From Statistics For Dummies, 2nd Edition. By Deborah J. Rumsey. Whether you’re studying for an exam or just want to make sense of data around you every day, knowing how and when to use data analysis techniques and formulas of statistics will help.

Being able to make the connections . Helpful Advising Information College of Sciences October 16, I. General Education Requirements A.

“C” or better in ENGL ( for Honors students); “D” ok in ENGL From SPSS For Dummies, 2nd Edition. By Arthur Griffith.

SPSS is an application that performs statistical analysis on data. Entering and manipulating information in the application can be done by using SPSS’s proprietary language, which is known as the Syntax command language, or more commonly, as Syntax. Data Analysis in SPSS Jamie DeCoster Department of Psychology University of Alabama Gordon Palmer Hall Box Tuscaloosa, AL parentheses into your formula, which can be used to tell SPSS which parts of your formula should be evaluated first.

Statistics Regression Cheatsheet Section 1B - Ryan Rosario I have found that the best way to practice regression is by brute force. That is, given nothing but a dataset and your mind, compute everything there is to compute about a regression model!

So let’s pretend that.

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SPSS for the Classroom: the Basics