In the Variables tab: Add the variables you want in the codebook to the Codebook Variables box.If you are using an older version of SPSS, this command is not available - it will not appear in the menus, and running the syntax will return error messages. Note: This procedure was introduced in SPSS version 17 ( source: SPSS v23 Command Syntax Reference). 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 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).Syntax in chapter_4.A codebook is a document containing information about each of the variables in your dataset, such as:.Syntax in chapter_2.sps (sps, 621 bytes).Syntax in chapter_1.sps (sps, 428 bytes).Missing data imputation: imputation_2017 (sps, 12 kB) Syntax (per chapter) in 'How to Use SPSS Syntax'.Difference in Differences with bootstrap and two transformations: SPSS syntax (sps, 4,5 kB) + data (sav, 1,2 kB).Tests of nonlinearity in multiple regression models (sps, 4,3 kB).interaction with mean centered variables + graphs) (sps, 2,8 kB).Interaction (please first read 'research note on interaction') (sps, 755 bytes).Research note on interaction (pdf, 51 kB).Some examples of treating string variables: string 2014.sps (sps, 3,5 kB) Analyses.Create dummy variables (dummy coding) (sps, 2,1 kB).Missing data substitution in longitudinal data.Extented IF command (sps, 1,3 kB) ( p.37 English book, p.The content below is intended to be generally helpful to researchers and students who (would) like to use the powerful Syntax editor in SPSS.
#BOOKS WITH SPSS CODE HOW TO#
This webpage is linked to How to Use SPSS Syntax (available at SAGE) and its Dutch counterpart SPSS met Syntax ( Van Grocum).