![]() ![]() You can generate this detailed codebook using the Codebooks dialog window, or using syntax. Also unlike the simple method, the summary information for each variable will be printed in its own table. ![]() Unlike the simple method, you can choose which variables are included in the codebook, and you can choose which variable properties are included in the summary. This codebook method includes all of the same information as the simple method, but also includes options for printing summary statistics as well. The codebook will print to the Output Viewer window.Click File > Display Data File Information > Working File. ![]() You can generate this simple codebook using the point-and-click menus, or using syntax. It also prints a table with the assigned value labels for categorical variables. It gives the names, labels, measurement levels, widths, formats, and any assigned missing values labels for every variable in the dataset. This codebook method prints most of the information found in the Variable View window. If you are not familiar with variable properties (such as labels or measurement levels) or concepts like value labeling of category codes in SPSS, you should read the Defining Variables tutorial before continuing. Many codebooks are created manually however, in SPSS, it's possible to generate a codebook from an existing SPSS data file. A good codebook allows you to communicate your research data to others clearly and succinctly, and ensures that the data is understood and interpreted properly. For categorical variables: If coded numerically, the numeric codes and what they representĬodebooks can also contain documentation about when and how the data was created.For scale variables: The variable's units of measurement.numeric, string how many characters wide it is how many decimal places it has) How the variable was actually recorded in the raw data (i.e.What the variable represents (i.e., its label).So you don’t have to remember that Job Category (jobcat) 1 is “Clerical,” 2 is “Custodial,” and 3 is “Managerial.A codebook is a document containing information about each of the variables in your dataset, such as: It lists out the labels for all the values for each variable. I find the information I use the most are the labels and the missing data codes.Įven more useful, though, is the Value Label table. The first includes the following information on the variables. Simply choose Display Data File Information and Working File.ĭoing this gives you two tables. There is a nice little way to get a few tables with a list of all the variable metadata. Or even just to print them out for yourself for easy reference. But sometimes you need to just print them all out–to create a code book for another analyst or to include in the output you’re sending to a collaborator. Spending the time to set up variable information makes data analysis much easier–you don’t have to keep looking up whether males are coded 1 or 0, for example.Īnd having them all in the variable view window makes things incredibly easy while you’re doing your analysis. This includes variable labels, missing data codes, value labels, and variable formats. One of the nice features of SPSS is its ability to keep track of information on the variables themselves. ![]()
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