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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. These files are saved as plain text and almost any text editor can open them, but with a file extension of.
As with the other types of windows, you can have more than one Syntax Editor open and the active window is marked with a tiny orange plus sign. When you paste syntax from dialog boxes, it goes to the active Syntax Editor.
If you close out all your Syntax Editors and then paste a command, a fresh Syntax Editor is opened. In general commands may be issued either through menus and dialog boxes that invoke the programming language behind the scenes, or by typing the programming language in a Syntax Editor and running the commands.
Dialog Boxes Although each dialog box is unique, they have many common features.The SPSS Windows and Files. SPSS Statistics has three main windows, plus a menu bar at the top.
These allow you to (1) see your data, (2) see your statistical output, and (3) see any programming commands you have written.
IT 전산 DATA 용어 가감산기;adder-subtracter 가능성;feasibility 가능세계;possible world 가능세계 의미론;possible world semantics 가능 신호;enable signal 가능케 하다;to enable 가능해;feasible solution. You are here: Home Basics Popular SPSS Tutorials SPSS IF – A Quick Tutorial In SPSS, IF is a conditional COMPUTE benjaminpohle.com calculates a (possibly new) variable but only for those cases that satisfy some condition(s).
This tutorial walks you through some typical examples of the IF command. Mar 14, · I demonstrate how to write a high quality results section for an independent samples t-test.
You can choose from many types of regression analysis. Learn which are appropriate for dependent variables that are continuous, categorical, and count data.
Writing up a one-way between-subjects design appears below. Recall that when you are writing up a results section you want to cover three things: a) Tell the reader the analysis that was conducted.