Once you read the data to IBM SPSS Statistics, you should at least do a cursory data check of the inputted data. Do you see numeric data? String data? Is the data in the expected scale and range? Is the data complete?

Of course, even if your data is not really very large in either the number of rows or columns, it can be difficult to assess via a simple visual inspection. For this reason, you might use SPSS Statistics to produce a tabular summary of variables showing counts and percentages. Doing so produces tables showing all the data codes in the designated variables. Once you have defined the SPSS Variable Properties such as value labels, you can control the tabular display to show data values (the data codes), value labels, or both.

A further consideration is how the data values are represented for categorical variables. Let's...

Here is a snapshot of a portion of an Excel spreadsheet:

Note that row 1 of the Excel spreadsheet is a header row containing variable names for the columns.

IBM SPSS Statistics can directly read an Excel sheet. There are different implementations in different recent releases of IBM SPSS Statistics but, in general, the capability exists on the File menu. In IBM SPSS Statistics 24, use the following path:

File | Import Data

Here is the Read Excel File dialog box:

By default, IBM SPSS Statistics shows the entire range of data that it encounters in the Excel sheet. You can use the Range portion of the dialog box to specify a subset range. Also by default, IBM SPSS Statistics expects to find variable names in...

Here is a snapshot of a portion of a comma-delimited text file:

A delimiter is a character such as a comma that serves as a separator between elements across a line of data. A text file is a kind of computer file that is structured as a sequence of lines of electronic text, often using the ASCII character set. Such a file is easily viewed in Windows accessories such as Notepad. Note that row 1 of the comma-delimited text file is a header row containing variable names for the columns.

IBM SPSS Statistics can directly read a delimited text file. There are different implementations in different recent releases of IBM SPSS Statistics, but the capability exists on the File menu. In IBM SPSS Statistics 24, use the following path:

File | Import Data

Here is the Read CSV File dialog box:

The Read CSV File dialog box shows the name of the file and a...

Use the SAVE command to save a data file in the IBM SPSS Statistics format, which contains data plus a dictionary. The dictionary contains a name for each variable, plus variable metadata (variable properties) such as assigned variable labels, value labels, missing values, and formats. As an aside, the dictionary also contains text that was specified on the DOCUMENTS command, if this command is used.

To save the data file along with variable properties from the menus, specify as follows:

File | Save

This brings up the Save Data As dialog box:

At a minimum, specify the folder in which you wish to save the file, along with a filename. Then press either Paste to paste the syntax or Save to write the file to disk. In addition, you can use the Variables… button to select variables to keep or drop.

Here is an example of the pasted syntax:

SAVE...

The IBM SPSS Statistics file is a data file created and saved in IBM SPSS Statistics. This file contains data in binary form, variable names, and other variable properties, and is directly readable by IBM SPSS Statistics.

In IBM SPSS Statistics 24, use File | Open | Data.

Here is the Open Data dialog box:

Click on OK to read the file, or click on Paste to paste the constructed syntax to the syntax window.

Here is the constructed syntax:

GET
 FILE='C:\Users\Tony\Documents\KSBSPSSBOOK_DATA\chapter2\gss2014\gss2014extract170113.sav'.
DATASET NAME DataSet1 WINDOW=FRONT.

Running the syntax populates an IBM SPSS Statistics Data Editor window with the data.

The GSS 2014 data extract has 2,538 rows. You can inspect the data by visually scanning and scrolling through the data window, but the sample size makes it difficult to grasp all of the data at once. For example, how many unique values are there in a given variable? Do the values in a given variable occur with about the same frequency, or do certain values predominate? Running Frequencies on the data can serve as a useful first look because it produces summary tables that show all data values on the specified variables.

To run Frequencies from the menus, specify as follows:

Analyze | Descriptive Statistics | Frequencies

This opens the Frequencies dialog box.

Move all variables except ID from the left-hand side to the right-hand side variable list. Why leave out ID? This is because the resulting frequency table is quite lengthy.

Once you successfully read a source data file, the next steps are to establish the variable properties for each variable and then do some data checking.

Here is an example of a portion of a Variable View with variable properties:

The IBM SPSS Statistics Data Editor window presents two views accessible via tabs in the lower left of the window: Data View and Variable View. The Data View shows a flat file view of the data with observations in the rows and variables in the column. The Variable View shows the variables row-wise along with the variable properties. In the Variable View, there are as many rows as there are variables. At the time of writing this, there are 11 default variable properties, plus you can define and add custom attributes.

The variable properties are as follows:

• Name: Each variable must have a unique variable name
• Type: The type or format...

This chapter showed you how to read in data from two common file formats--Excel and delimited data. These are common file formats that are writeable by most software, so the ability to read these formats means that you can share data from many other applications.

This chapter also showed you how to save the data as an IBM SPSS Statistics data file. Of course, if you can save a file in that format, then you can use IBM SPSS Statistics to read that file format. The advantage of the SPSS Statistics file format is that the variable information and data are saved in a form that you can access directly. The SPSS Statistics file format is also the native file format of the IBM SPSS Modeler.

This chapter also discussed variable properties, which you can specify for the variables and then save in the IBM SPSS Statistics file format. Variable properties are important because they...