For more information on the benefits of using SPSS to conduct survey data analysis, here are some helpful resources:. We use cookies to track how our visitors are browsing and engaging with our website in order to understand and improve the user experience. Review our Privacy Policy to learn more. What is SPSS? There are a handful of statistical methods that can be leveraged in SPSS, including: Descriptive statistics, including methodologies such as frequencies, cross-tabulation , and descriptive ratio statistics.
Bivariate statistics, including methodologies such as analysis of variance ANOVA , means, correlation, and nonparametric tests. Numeral outcome prediction such as linear regression. Prediction for identifying groups, including methodologies such as cluster analysis and factor analysis.
Get started with Alchemer today. Click on Next on the first screen and, after accepting the license terms read through them first if you want , click on Next again on the second screen to continue with the installation. SPSS includes a scripting language that can be used to automate various processes within the software. While the scripting language will not be covered in this section, you may find it useful down the road. The scripting is done via the Python language, and part of the installation process involves installing Python.
The next three screens deal with installing Python and agreeing to the associated license terms. The following screenshot shows the initial screen where you indicate that the Python component is to be included in the installation:. On the two following screens, accept the license terms for Python and click on Next to proceed.
As part of the installation, you will be asked where to put the files associated with the SPSS software. You can change the location for these files using the Browse button but unless you have a compelling reason to do so, we recommend using the setting shown in the image after the paragraph.
Depending on the options you have licensed SPSS consists of a base package along with options such as Advanced Statistics, Decision Trees, Forecasting, and so on , you may need up to 2 GB of disk space. After specifying the folder to use for the SPSS files, click on Next and, on the following screen, click on Install to begin the process:. The process of copying the files to the folder and performing the installation may take a couple of minutes.
A screen displays the progress of the file copying step. Installing the Python component for use within SPSS results in a screen as shown in the following screenshot. There are no buttons associated with this screen, only a display of the files being compiled:. SPSS uses an activation code to license the product after purchase. You should have obtained this code when you downloaded the software initially. It is typically a character code with a mix of numbers and letters.
On the screen shown in the following screenshot, click on License Product to initiate the authorization of the software:. Use the Next button to proceed through this screen and the two following screens. The authorized user license choice on the last screen is the right choice, unless your organization has provided you with information for a concurrent user setup. If this is the case, change the setting to that option before proceeding. The following screenshot shows the screen where you will enter your authorization code to activate the software via the Internet.
The authorization code unlocks SPSS Statistics base along with any options that you are entitled to use. If your purchase included the Forecasting option, for example, there would be a Forecasting choice on the Analyze menu within the SPSS software. Some of the options included in the activation code used in this example are shown in the following screenshot:. Scroll through the license information to see which options are included in your SPSS license. After reviewing the options that you have available, click on Finish to exit the installation process.
The first screenshot shown under the licensing SPSS section is displayed initially. The Data Editor window resembles a spreadsheet in terms of the layout, with the columns representing fields and the rows representing cases. As no data file has been loaded at this point, the window will have no content in the cells. Go to the Edit menu and select Options at the very bottom, as shown in the following screenshot:.
The General tab, which is where some of the basic settings can be changed, is displayed. It is likely that you will not need to change any of these specifications initially, but at some point, you may want to alter these default settings. Click on the File Locations tab to display the dialog box in the following screenshot. But why use syntax if SPSS has such a nice menu? The basic point is that syntax can be saved , corrected, rerun and shared between projects or users.
Your syntax makes your SPSS work replicable. If anybody raises any doubts regarding your outcomes, you can show exactly what you did and -if needed- correct and rerun it in seconds.
Now that we have a basic idea of how SPSS works, let's take a look at what it can do. Following a typical project workflow, SPSS is great for. SPSS has its own data file format.
In real world research, raw data usually need some editing before they can be properly analyzed. Typical examples are creating means or sums as new variables, restructuring data or detecting and removing unlikely observations. SPSS performs such tasks -and more complex ones- with amazing efficiency.
For getting things done fast, SPSS contains many numeric functions , string functions , date functions and other handy routines. All basic tables and charts can be created easily and fast in SPSS. Typical examples are demonstrated under Data Analysis. A real weakness of SPSS is that its charts tend to be ugly and often have a clumsy layout. A great way to overcome this problem is developing and applying SPSS chart templates.
0コメント