![]() ![]() So you don’t have to remember that Job Category (jobcat) 1 is “Clerical,” 2 is “Custodial,” and 3 is “Managerial. It lists out the labels for all the values for each variable. Measures, National Performance and Outcome Measures, and Subgroups, SPSS Codebook, Version 1.0, Data Resource Center for Child and Adolescent Health supported by Cooperative Agreement U59MC27866 from the U.S. 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. Use the codebook provided in the appendix at the back of the Manual to guide you.One of the nice features of SPSS is its ability to keep track of information on the variables themselves. You will need to open the survey.sav data file. ![]() Use the codebook provided in the appendix at the back of the Manual to guide you.Ģ.4 Using the instructions provided in Chapter 5 of the SPSS Survival Manual, check the following continuous variables for out-of-range cases. These exercises give you practice with the process of screening your data and correcting errors.Ģ.3 Using the instructions provided in Chapter 5 of the SPSS Survival Manual, check the following categorical variables for out-of-range cases. It is very important that you check your data file for errors before beginning statistical analyses. When you have finished, enter some pretend data-you can generate this data yourself by completing the survey presented in the appendix at the back of the Manual. Follow the procedures described in Chapter 4 to define each of the variables listed in the codebook. Unless the variables in the dataset have. The files available on this page include questionnaires, data files in ASCII format, codebooks, compendia and SAS and SPSS control files in order to process. Here, you can select the variables for inclusion in the codebook. Use this codebook to set up a data file from scratch. SPSS will then show a screen similar to Figure A5.1. Numerical values can be saved as a separate variable by using the command. At the back of the SPSS Survival Manual you will find a codebook for survey.sav (the file that was used to generate some of the output throughout the book) and the questionnaire that this came from. Similarly, the command codebook(ds) displays the frequency tables of all variables. (c) If you wished to change the format used to display the output tables, where in the Options would you do this?Ģ.2 The best way to learn how to set up an SPSS data file is to actually work through each of the steps yourself. (b) How do you change the number of decimal places that are used as the default for new variables? alphabetical order instead of file order)? (a) How do you change the order in which your variables are displayed (e.g. Use the following questions to review this material. This is covered at the start of Chapter 4 of the SPSS Survival Manual. Creating a data file and entering dataĢ.1 Before you start using SPSS to prepare a data file and run analyses, it is important to check the SPSS Options. Practice exercises Part Two: Preparing the data fileīefore attempting these questions read through Chapters 4 and 5 of the SPSS Survival Manual. ![]()
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