Each recipe tackles a specific problem with a solution you can apply to your own project and includes a discussion of how and why the recipe works. How to combine 2 or more categorical variables into one for frequencies purposes. I transfered this SPSS file from a Stata file wherein I had all missing values coded as -9999. Click “Add” to add this new group to the “Old−−>New:” box as shown in Figure 2. Select the variables you want to recode. You will witness all the advantages that come with using syntax, especially one that is already built-in. Both are easy to do with syntax). Recoding Variables in SPSS Statistics Introduction. These cookies do not store any personal information. The left column lists all of the variables in your dataset. In the Set Definition list, select each variable you want to include in your new multiple dataset, and then click the arrow to move the selections to the Variables in Set list. Another issue is that the combined variable doesn't have any value labels but it's not obvious what value labels you'd like to have in this case. All rights reserved. However, we can clone a variable with its dictionary information by combining RECODE with APPLY DICTIONARY. You can use this information to ensure that the reshaping went as desired. Keep in mind that you can RECODE and apply value labels to many variables at once. We might try and build a tool for this job some day because the question is asked pretty often and there isn't any really good solution for it yet. It comes in handy for merging categories, dichotomizing continuous variables and some other tasks. EXECUTE. All examples use supermarket.sav. Var2=1 'child2_with_Value1' Recoding into the same variables works in the same way as recoding into different variables except there’s one important distinguishing characteristic. I have 2 variables, (VigPA, ModPA), each with a range of 0-1260 mins, and I need to recode them into one new variable (PAgroup) with specific conditions for each level. Finally, note that RANK offers an alternative for discretizing variables.eval(ez_write_tag([[250,250],'spss_tutorials_com-large-leaderboard-2','ezslot_4',113,'0','0'])); A disadvantage of recoding into new variables is they don't have any dictionary information by default. We'll dichotomize variables v4 to v6 by changing values 1, 2 and 3 into 0 and values 4 and 5 into 1 as implied byrecode v4 to v6 (1,2,3 = 0)(4,5 = 1).Value 6 is is left unaltered. Is it possible, if more than one choice is indicated , for the recode to use a priority system in choosing which one to specify in the new variable? You'll soon notice that recoding from syntax is very simple and way, way faster than from the GUI. Help !! Required fields are marked *, Data Analysis with SPSS 3. Check the documentation if you need to know more about this. A very simple example would be RECODE A (1 = 0) (2=1). If you don’t have many variables to recode, say one or two, it’s not a big deal to use the menus (but at least paste the code, so you have a record of what you did later!). If you need a regression, for example, you can include all variants except one, and there you go - you know what I mean. The Analysis Factor uses cookies to ensure that we give you the best experience of our website. by Stephen Sweet andKaren Grace-Martin, Copyright © 2008–2020 The Analysis Factor, LLC. RECODE famimpor (4=3). The first Recode dialog offers also an IF button that lets you perform a conditional RECODE, i.e. The instructions below will show you how to recode variables. Create the new variables (recode :::, gen()). So do not recode over an existing variable unless you are absolutely certain that the lost information will never be needed. Using Case Summaries in SPSS to Debug your Variable Creation, Getting Started with R (and Why You Might Want to), Poisson and Negative Binomial Regression for Count Data, Introduction to R: A Step-by-Step Approach to the Fundamentals (Jan 2021), Analyzing Count Data: Poisson, Negative Binomial, and Other Essential Models (Jan 2021), Effect Size Statistics, Power, and Sample Size Calculations, Principal Component Analysis and Factor Analysis, Survival Analysis and Event History Analysis. Do you want to know how to use SPSS syntax for data manipulation and analyses? But opting out of some of these cookies may affect your browsing experience. If you’re just getting started with data analysis in SPSS, or would like a thorough refresher, please join us in our online workshop Introduction to Data Analysis in SPSS. In almost every situation, you want to use Into Different Variables. The Self-Esteem Survey (esteem.sav) data set will be used to illustrate the SPSS recode facility.Open the data set esteem.sav.The variables esteem1 to esteem5 are coded from 1 (strongly disagree) through 4 (strongly agree). First, note that the new variables don't have any dictionary information at all. We want to create a new variable “Chain2” that combines chain and coop stores into one category and keeps private stores as a second, separate category RECODE chain name of the starting variable SPSS RECODE replaces data values with different values. Recoding Into Same Variables replaces the values in the existing variable. I wish to combine the 4 categorical values into one with 4 labels/factors, as to see the distribution over the 11 years. (4th Edition) This procedure will divide your sample into groups (e.g. Unfortunately, copying the variable labels from the old to the new variables requires some more work but this can be automated with Python if desired. How to recode multiple response variables in SPSS into a single categorical variable. Now, you can't recode multiple variables into one with RECODE. In case of doubt we can always check the recoded variable against its clone and if necessary delete it and start over from a new clone. Hi SPSS listers, I want to recode seven variables into one variable. 2007. This feature is sometimes used when discretizing continuous variables: you can use LO (the lowest value that hasn't been previously addressed) as the lower boundary for each category. The syntax below looks a bit awkward but is not unusual. This is done by using the INTO keyword like sorecode v2 (1=2) into rec_v2.However, this doesn't tell which values rec_v2 should hold if v2 is not 1, resulting in lots of system missing values. 2. This example shows some disadvantages of recoding into new variables. Please note that, due to the large number of comments submitted, any questions on problems related to a personal study/project. If you'd like to avoid that, see Combine Categorical Variables but I should add that it's somewhat technical (I should have built a tool for this syntax but I don't have the time for doing so). The reason is that we rarely see these in practice and we didn't want to go into detail any further than we already did. In the previous examples the original values were overwritten by the recoded values. Usually, people code single variable with multiple responses and than recode it into several dummy-variables (0,1). Statistical Consulting, Resources, and Statistics Workshops for Researchers. You also have the option to opt-out of these cookies. This holds especially when you want to do calculations on ordinal variables under the Assumption of Equal Intervals.Note that we can't use AUTORECODE here because we don't want our values to follow the alphabetical order of our string values. I have an spss datafile which separated responses from two groups of participants on the same survey question into two variables in SPSS (i.e. For example, you may have measured people’s BMI (body mass index) as a continuous variable but may want to use it to create groups such as underweight, normal, overweight, obese. Define the value label (label define :::). Select a Set Name and (optionally) a Set Label. All the traditional mathematical operators (i.e., +, -, /, (, ), and *) work in R in the way that you would expect when performing math on variables. Optionally, you can define a subset of cases to recode. For a complete example -with test data- see SPSS - Recode Multiple Variables into One Variable Example. VARIABLE LABELS  Educ_cat ‘Education in Categories’. For a complete example -with test data- see SPSS - Recode Multiple Variables into One Variable Example. This tutorial didn't cover some more exotic RECODE options. Output variable Label: Education in Categories. SPSS Syntax to combine categories of a qualitative variable using RECODE Example: The “chain” variable has three categories. The reason why we need two quotes in don''t know is explained in Escape Sequence (General Concept). If so, it automatically declares the new string variables with the correct lengths that are needed for recoding into. (And of course, once you recode, you should immediately enter value labels and test your syntax to make sure it worked. I would like to recode all variables in my data set. 1 Introduction Recoding may be needed in a number of different situtions: • To categorise a continuous variable. The command Into Same Variable replaces existing data with new values, but the command Into Different Variables adds a new variable to the data set. Your email address will not be published. Conditional recodes . It's free to sign up and bid on jobs. Software . We also use third-party cookies that help us analyze and understand how you use this website. Hello, I have 4 categorical variables (disease diagnosis) who run over the span of 11 years, yes/no. where all values of 1 are changed into 0, and 2 into 1. We'll do this by changing all values of 1 into 2. Just make sure that the number of input variables matches the number of output variables. Note that if variable A has other values, they will be left unchanged. three age groups). One trick that does work is the formula. Here we can use ELSE, which means “all values that were not previously addressed”. But if you have more than just one or two, all those mouse-clicks get old, fast. Want to learn more? SPSS offers two choices under the recode command: Into Same Variable and Into Different Variables. First, why would you want to combine many variables into one anyway? For quickly getting very proficient with RECODE it's recommended you follow along with the examples. you only recode the cases corresponding to a logical condition. 2. Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. compute combined = v1 + v2 * 10 + v3 * 100. but it requires all original values are single digits. Th… newval specifies the new values to replace oldvalues. (If you have value labels, perhaps you should change these now accordingly). In almost every situation, you want to use Into Different Variables. Search for jobs related to Recode into same variables spss or hire on the world's largest freelancing marketplace with 18m+ jobs. If you continue we assume that you consent to receive cookies on all websites from The Analysis Factor. The standard approach here is to add up all variables and multiply the last variable by 1, the second last variable by 10, the third last variable by 100 and so on. In this section, we will learn about the Recode function in SPSS. This website uses cookies to improve your experience while you navigate through the website. Recode function is located in the Transform menu, and it comes into two varieties Recode into the same variables and Recode into different variables like this: So we will learn when we use these two different functions. That is: *Required field. Click OK Or, you could do all of that in just a few lines of very logical syntax code: RECODE educ (12=2) (16=4) (MISSING=SYSMIS) (Lowest thru 11=1) (13 thru 15=3) (17 thru Highest=5) INTO Educ_cat. 877-272-8096   Contact Us. Your comment will show up after approval from a moderator. In it, I am recoding Educ, Years of Education, into 5 categories: Less than High School, High School Grad, Some College, Bachelor’s degree, More than college. Therefore, you can't adddress a range of original and recoded variables by using the TO ALL keywords. Numeric variables. Specifying Values to Recode … Assume we have variable famimpor with values 1, 2, 3 and 4, measuring how important having a family is for the respondent. Let me know if that gets you any further, ok? We'll run FREQUENCIES right before and after recoding so we can check the results. I'm having a hard time figuring out how to merge several numeric variables but keeping all cases including those with the same value. If you select multiple variables, they must be the same type (numeric or string). We would like to match merge the files together so we have the dads observation on the same line with the faminc observation based on the key variable famid. For copying them from v2 into rec_v2 we'll use (ELSE = COPY). This tutorial walks you through its main options, best practices and pitfalls. I want to turn the seven variables into one variable, with 1=Native American, 2=Asian, 3=African American, and so on. An alternative is creating a new variable holding the recoded values. Some more options than described here are covered by the command syntax reference.eval(ez_write_tag([[300,250],'spss_tutorials_com-leader-1','ezslot_5',114,'0','0'])); document.getElementById("comment").setAttribute( "id", "a03dadd914d204c17ee91cb03aec6d8e" );document.getElementById("e6b3f439ac").setAttribute( "id", "comment" ); Hi In some cases you may want to recode a string variable into a numeric one. you could perform a particular recode for women only, but not for men. [Novice] SPSS. This is fast but it only works if the original values are all single digits. My experience is that it's often done without any real need for it. Enter an output (new) variable name for each new variable and click Change. This is as simple as recode v1 (1 = 2).The screenshot illustrates the effect. However, an easy way to reorder is using MATCH FILES.eval(ez_write_tag([[300,250],'spss_tutorials_com-banner-1','ezslot_3',109,'0','0'])); Recoding several variables into several new variables is straightforward: simply fill in multiple input variable names after RECODE and multiple output variable names after INTO. And if you need to go back and change your coding scheme, say to combine two small categories, it’s a quick matter to update the code. The command Into Same Variable replaces existing data with new values, but the command Into Different Variables adds a new variable to the data set. Out of these, the cookies that are categorized as necessary are stored on your browser as they are essential for the working of basic functionalities of the website. hi In this example we'll merge categories 1 and 2 of a variable v1. Now, you can't combine multiple variables into one with RECODE. variable are developed already…, Your email address will not be published. Busque trabalhos relacionados com Spss recode multiple variables into one ou contrate no maior mercado de freelancers do mundo com mais de 18 de trabalhos. Var1=1 'child1_with_Value1' and The standard approach here is to add up all variables and multiply the last variable by 1, the second last variable by 10, the third last variable by 100 and so on. Doing this cover some more exotic recode options an existing variable unless you are absolutely essential for the.! Also have the option to opt-out of these cookies on all websites from the Social. The first place you are absolutely certain that the new variables how do I add more data into the?. Famimpor ( 1,2 =1 ) ( 3=2 ) ( 3=2 ) ( 3=2 ) ( 3,4 = 2 ) screenshot... That come with using syntax, especially one that is already built-in hire on the top right, give range... 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Cookies on all websites from the General Social spss recode multiple variables into one data Set to procure user consent prior to running cookies! Multiple response variables in my data Set that comes along with SPSS the top right, this! Notice that recoding from syntax is very simple and way, way faster than from the Factor!