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This table will only appear if you have value labels defined for at least one variable in your dataset otherwise, it is omitted. The second table is the Variable Values table.
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Position (i.e., the order of the columns).This table summarizes variable-level information, including: The first table is the Variable Information table. To generate a simple codebook for the sample data, click File > Display Data File Information > Working File. If you receive a dataset from a collaborator, you can get an overview of its contents by running the Display Dictionary procedure. This includes having succinct but descriptive labels for your variables, and labels for any numeric codes used for categories. When sharing your data with others, it's important that your variables are properly documented.
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This will add all of the appropriate variable labels and value labels for this dataset.
#EXAMPLE SPSS CODE IN WORD DOCUMENT DOWNLOAD#
To reproduce this example, download the sample SPSS dataset and SPSS syntax file. Note: When listing the variable names in the syntax, the assigned measurement level must be given in brackets after each variable name: for scale, for nominal, for ordinal. STATISTICS COUNT PERCENT MEAN STDDEV QUARTILES. OPTIONS VARORDER=VARLIST SORT=ASCENDING MAXCATS=200 VARINFO POSITION LABEL TYPE FORMAT MEASURE ROLE VALUELABELS MISSING ATTRIBUTES By default, counts and percents will be printed for nominal and ordinal variables, and mean, standard deviation, and quartiles will be printed for scale variables.
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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).A codebook is a document containing information about each of the variables in your dataset, such as: