In this video Jarlath Quinn demonstrates how to use the compute procedure to calculate the mean of a number of variables to create one combined variable, and also how to use the count values procedure to count how many times a particular value occurs across a series of variables in order to create an overall count. How do I combine these into one variable? How can I do it in SPSS? Now say we'd like to combine “doctor_rating” and “nurse_rating” (near the end of the file). This tutorial demonstrates just that. Black 3. IF v#c=1 ethnic=3. Open the file in SPSS and have a look at it. Sometimes you will want to transform a variable by combining some of its categories or values together. Ive tried different approaches, e.g. And add these counts for male/female as new variables to your data? Right, we first download and install the SPSS Clone Variables Tool. In the Variables pane, use Shift+click or Ctrl+click to select the variables that you want to merge. Each case in the one file corresponds to one case in the other file. Most real world data will satisy those. We first present the syntax that does the trick. In both files each case has an identifier, and the identifiers match across cases. Your comment will show up after approval from a moderator. This will, however, require SPSS version 14 or higher with the SPSS Python Essentials properly installed. IF v#e=1 ethnic=5. IF v#b=1 ethnic=2. VALUE LABELS race 1 'white' 2 'white minority' 3 'non-white minority'. In my survey I asked the respondents to check the boxes that apply to how to describe their ethnicity. Making dummy variables in SPSS via syntax. Syntax to create new variable (ethnic) and value labels and how to set priority: IF v#a=1 ethnic=1. Next, we'll point out how it how to easily use it on other data files. This tutorial demonstrates just that. eval(ez_write_tag([[300,250],'spss_tutorials_com-banner-1','ezslot_3',109,'0','0'])); Those who'd like a closer look at some of the commands and functions we combined in this tutorial may want to consult string variables, STRING function, VALUELABEL, CONCAT, RTRIM and AUTORECODE. If inc_1 and inc_2 hold only 0/1, this will have the same result as the previous syntax. Clicking on the cell for the relevant variable will summon a pop-up menu like the one shown below. Later, I want to use this binary variable as a dependent variable in a logistic regression model. Specify an old value and a new value. ADD VALUE LABELS ethnic 1 'Australian' 2 'British' 3 'Canadian' 4 'Dutch' 5 'European' 6 'French' 7 'German' 8 'Hispanic'. An example of such a value label is for missing if a respondent didn't select it. However, for reporting purposes we usually display only value labels and not the underlying values. document.getElementById("comment").setAttribute( "id", "ac413c3a1dcd8b1a3761dc5e9e79557c" );document.getElementById("d7c2cba526").setAttribute( "id", "comment" ); *Required field. Type the name of your new variable in the space under "Target Variable." Note that all variables are numericwith proper value labels applied to them. IF v#g=1 ethnic=7. Right, when doing a routine inspection of this data file, we'll see that the variable nation has many small categories. From the menu, choose. In order to split the file, SPSS requires that the data be sorted with respect to the splitting variable. 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. The result is shown in the screenshot below. We'll therefore apply these ourselves. However, the real information is usually in the value labels instead of the values. You may follow along by downloading and opening hospital.sav. Further, note that the syntax we used made a couple of assumptions. IF (RACE = 1 AND HISPANIC = 0) RACE_ETH = 1. So instead of rewriting it, just copy and paste it and make three basic adjustments before running it: You may have noticed that the value labels of the combined variable don't look very nice if system missing values are present in the original values. Before doing so, however, we'll first apply a variable labelto this variable. A detailed instruction with screenshots can be downloaded here for version 23 or older , or here for version 24 , … 2. After doing so, the resulting value label will look as follows: Note that all variables are numeric with proper value labels applied to them. IF white=1 race=1. We'll now show two solid approaches for doing just that. For incidence and mortality rate calculations, we recoded detailed race information into four major categories in order to make them compatible with available annual population estimates used as denominators for the rates. Right, when doing a routine inspection of this data file, we'll see that the variable nation has many small categories. We'll call this new variable rec_nation which is short for “recoded nation”. White 2. Assign p.race the value "Hispanic or Latino" when they indicated this ethnicity. doctor_rating = 3 (Neutral) nurse_rating = 7 (System missing). Because of that I have 6 separate race variables. SPSS will not stop you from using a continuous variable as a splitting variable, but it is a bad idea to try to attempt this; SPSS will see each unique numeric value as a distinct category. We recommend you try the examples for yourself by downloading and opening hotel_evaluation.sav. This gives you a blank histogram template. I typically do this kind of stuff with a simple IF command. You now need to define what information will be displayed on the X-axis and the Y-axis of the graph. Hello, I am inexperienced in SAS and need some help. Enter an output (new) variable name for each new variable and click Change. so that you can analyse them statistically. Say race has three values, 1 2 and 3, and you want to make three dummies, race1 race2 and race3.Note that this does not work for string variables (but you can first convert the string variable to numeric and then use this procedure).. DATA LIST FREE / race… So that every "1" in one variable is a category in the new variable V5. Merging some categories of a categorical variable in SPSS is not hard if you do it the right way. In the SPSS menu, select Analyze>Compare Means>One Sample T-test Select the variable(s) from the list you want to look at and click the button to move it into the “Test Variable(s)” area. doctor_rating = 3 (Neutral) nurse_rating = 7 (System missing). You can do so by AGGREGATE. A very decent way to merge our small categories is creating a new variable with RECODE (syntax below, step 1). The syntax below shows how to do so. You want to match up records by identifiers. SPSS is easy to learn and enables teachers as well as students to easily derive results with the help of a … Create a new variable, p.race. COMPUTE inc_3 = 0. The United States Census Bureau has a long history of conducting research to improve questions and data on race and ethnicity. This is the name of the variable you are creating by adding two or more other variables … In this case, you want each bar of the histogram to represent a score on the We'll walk through them below. Now say we'd like to combine “doctor_rating” and “nurse_rating” (near the end of the file). m.out=matchit(ESRD~Age+Sex1+Race,method="nearest",data=datamatch,ratio=5) the above syntax gives me exact matching for age (I think). in SPSS each category is split into its own variable. FREQ ALL. You want to count values (maybe 0 = female, 1 = male or something?) In SPSS, this type of transform is called recoding. The NHANES sample weights can be quite variable due to the oversampling of subgroups. We realize that many readers may find this syntax too difficult to rewrite for their own data files. (). After doing so, we can use the syntax below for merging our categories as desired. Like so, we can quickly confirm that all 100 respondents from Belgium (first row) still have “Belgium” on our new variable. EXECUTE. If you select multiple variables, they must be the same type (numeric or string). It is assumed that all values in the original variables consist of. Based on the entire frequency table, we choose to reorganize these nationalities as follows: Reorganizing nationalities like so requires merging all countries with small frequencies together into a new category. For estimates by age and race and Hispanic origin, use of the following age categories is recommended for reducing the variability in the sample weights and therefore reducing the variance of the estimates: 5 years and under, 6-11 years, 12-19 years, 20-39 years, 40-59 years, 60 years and over. Click on the link entitled Fast-food study SPSS data. A nicer result can be obtained without changing the basic syntax for combining categorical variables. IF white = 1 AND minority_dummy = 1 race=2. IMPORTANT NOTE. You may follow along by downloading and opening hospital.sav. Use either SELECT IF (delete cases) or FILTER (filter out cases). Your comment will show up after approval from a moderator. In this example, we’re testing the hypothesis that the median house value is 200,000. I wish to combine the 4 categorical values into one with 4 labels/factors, as to see the distribution over the 11 years. COMPUTE FILT_1 = 0. I am still relatively new to SPSS. document.getElementById("comment").setAttribute( "id", "adb3c7940b3b846be183d8ff7da6bf59" );document.getElementById("de7f0aa44f").setAttribute( "id", "comment" ); I see. COMPUTE inc_3 = sum(inc_1 to inc_2). Continuous versus categorical variables: Thanks! Creating Race/Ethnicity Variable for Race/Ethnicity ... Can sort, summarize, subset, merge, and concatenate data sets, create new variables. SPSS (The Statistical Package for the Social Sciences) software has been developed by IBM and it is widely used to analyse data and make predictions based on specific collections of data. RECODE inc_3 (2 THRU HI = 1). SPSS: Frequency table of multiple variables with same values Below are the steps to generate a frequency table of multiple variables that have the same values. Finally, we inspect the result in the same way as we did previously.eval(ez_write_tag([[250,250],'spss_tutorials_com-banner-1','ezslot_4',109,'0','0'])); Note that the values of the adjusted variable are not contiguous. Assign p.race the value of one of the eight variables for race/ethnicity (below). This becomes apparent when running FREQUENCIES (syntax below, step 3). Uninsured Example ***Confidence Intervals are close to what you get in SUDAAN, but SUDAAN is still the Note that we are able to set the variables equal to zero first, without worrying about missing cases only because there happen to be no missing cases for the race variable. Case Numbers • Each case in an SPSS file should include a case number. Click the "Transform" menu at the top of the window and select "Compute" from the drop-down menu to open the Compute Variable dialog box. If you let the cursor hover over a variable name, you will get a longer description of what it's about; most of these are self-explanatory. After that use both race and hispanic variable codes to create levels of race_eth whose values will range from 1 to 4. That is, we're using 1, 2, 11, 12 (...) instead of 1, 2, 3, 4. IF minority_dummy=1 race=3. system missing values. *Required field. Keep in mind that this new variable doesn't come with any variable labels or value labels. We'll therefore propose a faster approach that circumvents this. One approach would be to use SPSS syntax editor. I want to combine two categorical variables (income from dependent employment and income from independent employment, both coded with yes/no) into one categorical variable, also with the values yes/no. Click Old and New Values. The result is shown in the screenshot below. Then enter the test value. Result: inc_3 will be 0 or 1 if the sum of inc_1 and inc_2 is greater than zero. I have a rather urgent question. • Use variable names that help you identify the scale or instrument to which they apply. Use a value that's not yet present in the original variables and apply a value label to it. After creating the new variables, they are entered into the regression (the original variable is not entered), so we would enter x1 x2 and x3 instead of entering race into our regression equation and the regression output will include coefficients for each of these variables. To replace this, simply click on the box containing the variable and drag it back to the Variables list. Since the first census in 1790, the Census Bureau has collected information on race/ethnicity and the census form has reflected changes in society and shifts that have occurred in the way the Census Bureau classifies race and ethnicity. Prior to running this syntax, simply RECODE IF(Q1 > 4 AND Q2 > 4) FILT_1 = 1. doctor_rating = 3 (Neutral) nurse_rating = . Now I want to make out of these 4 variables (V1-V4) one categorical variable (let's call it V5 "used rooms") with the values 1 = kitchen, 2 = WC, 3 = living room and 4 = hallway. I exported Qualitrics data to SPSS. IF (RACE = 2 AND HISPANIC = 0) RACE_ETH = 2. EXE. Please advice. Click Add to place the specification into the Old–>New list. We recommend you try the examples for yourself by downloading and opening hotel_evaluation.sav. I am analyzing some student survey data which had a ‘race’ variable where respondents had the option to select more than one race category. • The order of variables in the SPSS data file normally should be the same as the order of items in the questionnaire. For example you will need to assign numeric values for gender (0 = boys, 1 = girls) and ethnicity (0 = White British, 1 = Mixed Heritage, 2 = Indian, etc.) IF v#d=1 ethnic=4. Many easy options have been proposed for combining the values of categorical variables in SPSS. This displays the New Variable window. over sets of rows (members in single household)? Note that this is an SPSS Extension Bundle. I have tried so many things to no avail. For example. Do you have an idea on how to solve that? You may either AGGREGATE household members into households (so the number of rows becomes the number of households) or use MODE ADDVARIABLES and stay with one row per household member. However, since these don't show up in any way, this does not bother us either. Since this pattern holds for all rows, we conclude that the result is indeed correct. This tutorial proposes a simple trick for combining categorical variables and automatically applying correct value labels to the result. The first option we proposed uses only very basic syntax so it will work fine on all SPSS versions. Create a variable called race_eth then assign a value of 0. Variables > Merge. The latter are referred to as “small categories” and we often find these undesirable. set have; format RaceAndEthnicity $ 20.; If Ethnicity= "1" then RaceAndEthnicity = "Hispanic - Any Race"; Else If Ethnicity= "2" and Race = "White" then RaceAndEthnicity = "White NH"; Else If Ethnicity= "2" and Race = " Black or African American " then RaceAndEthnicity = "Black NH"; doctor_rating = 3 (Neutral) nurse_rating = . I want to select the cases which have given specific ranks (eg: Strongly agree and agree) to two variables. Merging some categories of a categorical variable in SPSS is not hard if you do it the right way. See below: COMPUTE RACE_ETH = 0. For example, you may want to change a continuous variable into an ordinal categorical variable, or you may want to merge the categories of a nominal variable. To count values ( maybe 0 = female, 1 = male something. 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