![]() In many cases, RECODE is an easier alternative for IF. *IF: respondents meeting both conditions get result_2. *DO IF: respondents meeting both conditions get result_1. ![]() The syntax below sketches this idea.ĭO IF - ELSE IF Versus Multiple IF Commands If you use multiple IF commands instead, the last condition met by each case takes effect. If cases meet more than 1 condition, the first condition prevails when using DO IF - ELSE IF.IF is a conditional COMPUTE command whereas DO IF can affect other transformations -such as RECODE or COUNT- as well.IF is a single line command while DO IF requires at least 3 lines: DO IF, some transformation(s) and END IF.The main differences between DO IF and IF are that Some SPSS users may be familiar with DO IF. The minimum for females working fulltime is 36. The maximum for females not working fulltime is below 36. ![]() This table -shown below- is a nice way to check the results. Our syntax ends with a MEANS table showing minima, maxima, means and standard deviations per gender per group. means whours by gender by fulltime /cells min max mean stddev. add value labels fulltime 0 'Not working fulltime' 1 'Working fulltime'. if(gender = 1 & whours >= 40) fulltime = 1. if(gender = 0 & whours >= 36) fulltime = 1. *Set fulltime to 1 if whours >= 36 for females or whours >= 40 for males. We then set it to one if the year -extracted from the date of birth- is in the RANGE 1980 through 1989. The syntax below first computes our flag variable -born80s- as a column of zeroes. Let's flag all respondents born during the 80’s. Example 1 - Flag Cases Based on Date Function For getting the most out of this tutorial, we recommend you download the file and try the examples for yourself. Example 3 - Compute Variable Differently Based on GenderĪll examples use bank.sav, a short survey of bank employees.Example 2 - Replace Range of Values by Function.Example 1 - Flag Cases Based on Date Function.In SPSS, IF computes a new or existing variableįor analyzing a selection of cases, use FILTER or SELECT IF instead. It does not store any personal data.SPSS IF – A Quick Tutorial By Ruben Geert van den Berg under Basics & SPSS A-Z The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. The cookie is used to store the user consent for the cookies in the category "Performance". This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. The cookies is used to store the user consent for the cookies in the category "Necessary". The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". The cookie is used to store the user consent for the cookies in the category "Analytics". These cookies ensure basic functionalities and security features of the website, anonymously. Necessary cookies are absolutely essential for the website to function properly. If the COMPUTE command puzzles you, see Compute A = B = C for an explanation. For example, we'll flag cases that have a missing value on doctor_rating with the syntax below. SPSS MISSING function evaluates whether a value is missing (either a user missing value or a system missing value). Return number of valid values over variables Return number of missing values over variables SPSS Missing Values Functions ExpressionĮvaluate whether value is system missing or user missing Missing values doctor_rating to facilities_rating (6). Setting User Missing Valuesīefore discussing SPSS missing values functions, we'll first set 6 as a user missing value for the last 5 variables by running the line of syntax below. We'll do so by using the last 5 variables in hospital.sav. This tutorial demonstrates how to use them effectively. In order to do so, SPSS has some missing values functions that are mostly used with COMPUTE, IF AND DO IF. It's always a good idea to inspect the amount of missingness for avoiding unpleasant surprises later on. Most real world data contain some (or many) missing values. SPSS Missing Values Functions By Ruben Geert van den Berg under SPSS Blog
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