Selects "phone" and "other" types "mp3 player" in the write-in box We might create a survey question like this one:Īs individual users complete the survey, their selections might look like this: For example, suppose we are interested in surveying a group about what types of electronic devices they own, and suppose we are especially interested in the three most common types of mobile computing devices: laptops, phones, and tablets. In this tutorial, we will focus on a specific type of multiple response set: multiple response (or "check-all-that-apply") questionnaire items.Ī multiple response question presents a list of possible answer options, and the respondent selects all options that are true for them. Multiple response sets occur when you have a set of related choices or characteristics in which a subject or experimental unit can possess one or more of those characteristics. Example: Multiple Response Frequency Tables.Defining Multiple Response Sets in SPSS.Counting the Number of Selected Options using Count Values Within Cases.Introduction: About Multiple Response Set Variables.© W.This tutorial is a primer on how to work with data from multiple choice, multiple-response (or "check all that apply") questions in SPSS Statistics. Whereas in FILTERing cases these conditions have to be defined prior to the FILTERing command to yield the single filtering variable. That is, you may use all the possibilities for conditional transformations to define the condition by which cases are to be selected right after the SELECT IF keyword, In the SELECT IF command, any condition can be defined for selecting cases. Therefore, usually you will take care that you will either not save your reduced data set or that you will save it under a different name. However, you must keep in mind that when saving your data, any file with that name will be overwritten with the reduced data set. This command therefore is useful for saving computation time if you are doing a certain amount of analyses on a part of your data only, if will be reasonable to SELECT that part. To SELECT cases means that all other cases are deleted from the working file. Also, data transformations will be performed on all cases. Note that FILTERing does not affect all procedures for instance, when you SAVE your data file, all cases will be saved, not only those filtered. Only one FILTERing variable can be listed in the command therefore, if the filtering condition is a combination of several data values, you have to define a filtering variable accordingly. All other cases will remain in the analyses. FILTERing BY a variable (which may have any name) means that all cases with value 0 or with a missing value in that variable will not enter the analyses that follow until the command is revoked by the FILTER OFF command. The cases that do not meet the filtering condition are "barred", as it were, from the analysis however, they may re-enter at any time. How the FILTER BY command works can be easily seen in the data window. (However, rest assured that SELECT IF affects only your working file, not the original data set).ĬOMPUTE filter_v = (var17 eq 1 and var23 lt 23). The SELECT IF command deletes the cases that do not fulfil a given condition from the working file, and thus cannot be "undone". You may select cases for analysis in two ways: The FILTER BY command temporarily selects cases that fulfil a condition that usually is (but has not necessarily to be) defined in a yes/no mode (with yes = 1 and no = 0) it can be undone by the command FILTER OFF. In many instances, analysis is required only for a defined subset of your data.
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