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In these two sessions, you won't become an SPSS or data analysis guru, but Most importantly, you'll learn how to learn more about SPSS. The purpose of this guide is to provide both basic understanding of statistical concepts (know- why) as well as practical tools to analyse quantitative data in. SPSS Beginners Tutorials. Quickly master SPSS by learning it the right way. Follow along with our examples on downloadable practice data files.

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SPSS Basics. ➢ Tutorial 1: SPSS Windows. There are six different windows that can be opened when using SPSS. The following will give a description of each. of statistical analyses using the latest version of SPSS, SPSS Each chapter .. Help — Tutorial provides access to an introductory SPSS tutorial, includ-. at the tutorial, which shows you how to do all the essential tasks in SPSS. Details about all of the real data sets used to illustrate the capacities of SPSS are.

The best part? SPSS Statistics shows you words in place of numeric values and provides awesome visualizations, charts and graphs to explore your data.

The Data Editor is where you create variables, enter data, and carry out statistical functions.

The data view tab looks similar to an Excel spreadsheet, where data is inputted e. The variable view is what you see behind the data.


This is where you tell SPSS what your numbers represent. Here, your variables are in rows and their properties are in columns.

The Output Viewer is simply where the results of any analysis appear. This window is broken up into two sections.

SPSS Tutorials: Getting Started with SPSS

We discuss this further and what options to select in our enhanced one-sample t-test guide. Click the button. You will be returned to the One-Sample T Test dialogue box.

Click the button to generate the output. Join the 10,s of students, academics and professionals who rely on Laerd Statistics.

If your data passed assumption 3 i.

However, since you should have tested your data for these assumptions, you will also need to interpret the SPSS Statistics output that was produced when you tested for them i. If you do not know how to do this, we show you in our enhanced one-sample t-test guide. Remember that if your data failed any of these assumptions, the output that you get from the one-sample t-test procedure i.

However, in this "quick start" guide, we take you through each of the two main tables in turn, assuming that your data met all the relevant assumptions: Descriptive statistics You can make an initial interpretation of the data using the One-Sample Statistics table, which presents relevant descriptive statistics: Published with written permission from SPSS Statistics, IBM Corporation. It is more common than not to present your descriptive statistics using the mean and standard deviation "Std.

When you perform any command in SPSS, the Output Viewer window opens automatically and displays a log of the actions taken and the associated output. Primarily, the Output Viewer is where the results of statistical analysis are shown, but any command invoked through the drop-down menus or syntax will be printed to the Output Viewer.

General Information

This includes opening, closing, or saving a data file. If an Output Viewer window is not open when a command is run, a new Output Viewer window will automatically be created. The Output Viewer window is divided into two sections, or frames. The left frame contains an outline of the content in the Output Viewer. This outline is especially useful when you have run many SPSS commands and need to locate a particular section of output easily.

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The right frame contains the actual output. Clicking on an item in the left frame will jump to that content in the right frame. Items that have been selected in the right frame are indicated by a red arrow and a box drawn around the content. You can modify the contents in the Output Viewer by selecting items in the left or right frame and copying, pasting, or deleting them.

To remove an item from the Output Viewer, click on its name in the left frame or click on the object itself in the right frame, then press the Delete key on your keyboard.

SPSS syntax is a programming language unique to SPSS that can be used as an alternative to the drop-down menus for data manipulation and statistical analyses. The right panel of the Syntax Editor window is where your syntax is entered.

The left panel of the Syntax Editor window shows an outline of the commands in your syntax, and can be used to navigate within your code. You can jump to a specific part of your code by clicking on the command in the left panel. This feature is useful for showing the start and end points of a command, especially if the command is longer than one line.

When working in SPSS, it's possible to have multiple windows of the same type open simultaneously. Or, you may want to keep your exploratory data analysis and regression modeling syntax in separate syntax files, but you have both open in SPSS so that you can work on both tasks. When this happens, it's important to take note of which window is currently the active window for that window type. An active window is a window that is currently selected and on which any commands will be run. If you have multiple windows of the same type open, it is important to know which of these is the active window because SPSS may direct specific information to the active window.

For example, if you have more than one Output Viewer window open, and you run a command, SPSS will print the results of the command in the active Output Viewer window. Thus, if you want output to display in a specific output file, you will want to make sure that file is the active window. You may have multiple windows open during a session e.


Drop-down menus: Users who are new to SPSS typically learn the software by using drop-down menus. These are the menus that you see across the toolbar at the top of the screen--e. These menus provide the options you need for performing specific actions on your data.

Clicking on any one of the menus will produce a list of menu items. You may then select a specific menu item from the list to perform specific actions. Syntax Commands: Advanced users can interact with SPSS by writing their own syntax.

Syntax is a command-driven language that tells SPSS what actions to perform on the data. Using syntax commands rather than drop-down menus is preferable for several reasons:. Overall, syntax offers more flexibility, a clearer record, and greater ease in making changes and re-running commands.

It does take some practice to learn to write the basic command language, but once you learn the language the benefits of working with data in this way will become very clear.Since a couple of years, I have somewhat neglected to this guide. Syntax is a command-driven language that tells SPSS what actions to perform on the data.

Join the 10,s of students, academics and professionals who rely on Laerd Statistics. There are still times when writing or editing syntax commands is useful, or even necessary. When data is loaded into the Data Editor, each column will represent a variable and each row will represent a case.

This tutorial describes how to import data stored in an external file into SPSS. One thing that is indeed impossible via syntax files is setting up a data set and entering data.

Variable labels are set by simply typing them in, value labels work through a dialog box.