SPSS has a two-step process to use multiple response sets using the dialog windows: After a multiple response set is defined, it is only retained as long as the SPSS session is active. For example, we could restructure this question into a series of single-choice, "Yes or No" questions: This means that one multiple-response question is actually composed of several binary variables. Chinese Simplified / 简体中文 Spanish / Español Multiple Response Sets . Czech / Čeština Multiple records Figure 13.1 Cleaning Raw Cross-Sectional Data Partial Frequency of a Unique Identifier We start with the syntax In this example 1 indicated that someone did visit the cinema, and I’m interested in those who In these examples, the columns represent the answers to a check-all-that-apply question, "Which of the following devices do you own? [1] How do I save multiple response sets defined through the menu system? In this example, we choose to count the number of 1's, so individuals who selected zero choices will have values of 0, and individuals who answered the question will have counts greater than 0. Multiple open data sets As of version 14, SPSS allows you to have multiple data sets open at once. E Layers: The variable(s) you want to be used as the "layer" variable in the crosstab. Korean / 한국어 The name of the new variable to be created. To do this, click Analyze > Multiple Response > Frequencies. The rate of laptop ownership was approximately four percentage points higher among females than males (94.3% of females versus 90.9% of males). This note demonstrates the use of Multiple Responses Analysis in analyzing multiple responses data using SPSS software. Given our original research question, this would be especially problematic: if we are interested in knowing the electronic devices that college students own, we need to be certain about what proportion of students do not own any devices, since that could impact students' access to online course materials. Slovenian / Slovenščina The “active” data set is the one that is last one that you clicked on. The details of the underlying calculations can be found in our multiple regression tutorial. We use spaces between the variable names. Managing such questions in SPSS Statistics can produce some difficulty. In this case, we are counting the value. In the Name box, type a new name for the set; in this case, we'll use the set name devices. The syntax that you run will be run on the “active” data set. Columns refers to how wide a variable column is displayed on screen.It can be set by the VARIABLE WIDTH command. Norwegian / Norsk Posted on December 2, 2020 December 2, 2020 The data for the multiple response question was encoded using the 1s/blanks scheme, and the answers to the question on gender were encoded as 0=Male, 1=Female. If using the dialog windows, we must do this in two steps: first, using the Define Multiple Response window, and then using the Multiple Response Frequencies window. However, when I come to add more, the option to create another multiple response set is no longer present, even though I have inputted all the required info. It does not necessarily mean that they did not answer the question! *(A) by Raynald Levesque 2002/03/22. Suppose we want to know what types of electronic devices (laptops, smartphones, and tablets) college students commonly own. Model associations with correlations, contingency tables, and multiple-regression analysis Format and export presentations to share your data Plus, learn how to extend the power of SPSS with Python and R. This course is ideal Archive of 700+ sample SPSS syntax, macros and scripts classified by purpose, FAQ, Tips, Tutorials and a Newbie's Corner Toggle navigation Raynald's SPSS Tools Syntax C Name and Label: The name (required) and label (optional) of the multiple response set. We might create a survey question like this one: As individual users complete the survey, their selections might look like this: User 1 In our example data, we used the number 1 to indicate "present", so we want to count the number of 1's a person has across the four multiple response variables. Percent of response is the percentage of each response out of total responses from the given data-set. Dichotomize Multiple Variables SPSS Recode Example 2 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 by recode v4 to v6 (1,2,3 = … How can I parse this info?. ; This may be confusing since this does not refer to the "width" (length) of a variable as explained under variable width. This particular question type is deceptively simple. The Percent column represents the proportion of the total sample who checked that option. The best way to avoid having to re-define your multiple response sets is to save the syntax created by the Multiple Response Frequency Tables and Crosstabs procecdures in a SPSS syntax file, because the syntax for these procedures automatically includes the definitions of the response sets. Other-specify responses 7. The multiple response variables should be numeric. Cases 3, 4, 6, and 8 had values of 1 for owns_laptop and owns_phone, so their value of selected is 2. Search What we really want is a table that will only drop cases if they're missing values for gender or for the multiple response set (i.e., didn't select any of the answer options). Select two or more variables. If your variables are coded as dichotomies, indicate which value you want to have counted. Variable labels are strongly recommended, since those determine the labeling used in the multiple response frequency tables. Use a multiple response set if a respondent is allowed to select more than one answer to a survey question. Then click. That information, along with your comments, will be governed by The two options in the Missing Values section control how cases with missing values should be treated. Data Define Multiple Response Sets Vragen waar meerdere antwoorden mogelijk zijn leveren altijd meerdere variabelen per vraag op. Frequency analysis is a descriptive statistical method that shows the number of occurrences of each response … Click in the menubar on 2. Our desired summary would look something like this: If we were to try to use the regular Frequencies procedure on this data (Analyze > Descriptives > Frequencies), the resulting tables would not be succinct: The first table shows the number of valid and missing responses for each variable. Define multiple response sets. Define Multiple Response Sets . SAS Syntax (*.sas) Syntax to read the CSV-format sample data and set variable labels and formats/value labels. Macedonian / македонски i.e. Note that it is only possible to choose one of these schemes. Hungarian / Magyar SPSS tutorials. SORT CASES and CASESTOVARS. Highlight the four multiple response variables (click variable. English / English To actually create the table, we now run the Multiple Response Frequencies procedure: Using syntax for multiple response frequency tables is much simpler: the definition of the set and the command to produce the frequency table are done in the same command: Running the above steps or syntax produces the following output: The first table, Case Summary, counts the number of cases with valid and "true" nonmissing values -- i.e., cases that did not have any of the options checked. If multiple variables are entered in the Row, Column, and/or Layer boxes, there will be a separate table for each unique combination of the row*column*layer variables. Two-hundred forty (240) respondents, or 55.2% of the sample, own two electronic devices. These tables alone won't give us the information we need to fill in the table above. This particular option should only be used if you coded selected values as 1 and unselected values as 0 (or some other nonmissing numeric code). Our tutorials reference a dataset called "sample" in many examples. Written and illustrated tutorials for the statistical software SPSS. This survey happens to have lots of multiple response set questions. Om dit soort vragen in één tabel of in één grafiek te laten zijn is het vaak noodzakelijk deze eerst samen te definiëren in één setje van variabelen. Remember: a good multiple choice question will have answers that span the full range of possible answers. By commenting, you are accepting the And with just the Base, you can use Analze > Multiple Response. French / Français A basic introduction on how to deal with multiple response data sets using SPSS In this tutorial, we will focus on a specific type of multiple response set: multiple response (or "check-all-that-apply") questionnaire items. The data values should follow one of these two schemes: Numeric code (typically 1) if present, blank (missing) if not present. These definitions do not persist in the data file, but you can, of course, save the syntax. Notice that the same procedure, MULT RESPONSE, powers both the multiple response frequencies and multiple response crosstabs: Using the column proportions, we can observe that: Warning: Do not use the chi-square test of independence on a crosstab containing a multiple response variable. This panel will be blank if no response sets are defined. options in SPSS, the first of which is by selecting: Data . A multiple response question presents a list of possible answer options, and the respondent selects all options that are true for them. Selects "phone" and "other"; types "mp3 player" in the write-in box. For each variable in this list that you use in the table, you will need to use the Define Ranges button to tell SPSS which number categories you want to be included in the table. When you sign in to comment, IBM will provide your email, first name and last name to DISQUS. 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. In my google The naming rules for multiple response set names are the same as the normal variable naming rules in SPSS (no spaces, must start with a letter). This "count" is added as a new variable to the dataset, which we can then use to apply filters. This is because the syntax command for multiple response sets, MULT RESPONSE, contains the definition of the set in the command. Identify the variables representing the values for that set. The multiple response set can then be analyzed using frequency counts or crosstabs. It's not possible to determine how many individuals left all four options blank from the basic Frequencies procedure. Then do the following: Unlike the normal Crosstabs procedure, we need to specify the range of numeric codes we want to be included in the table. Let's call our new variable, In the left column, type the number 1 in the. All multiple response sets you've defined during the current SPSS session will appear on the left. This person clearly answered the question, despite having "missing values" on some of the variables in the set. At Variable Coding, enter the value that you are most interested in. To filter out individuals who did not answer the multiple response question, use the Select Cases procedure to keep cases if selected > 0 (selected greater than 0). In that context, the set definition syntax is actually part of the MULT RESPONSE procedure syntax, and it will be generated if you paste from the MULT RESPONSE frequencies or table dialog. If you coded your selected values as 1 and blank if not selected, this particular option will only count cases where all values were present. To do this, click Analyze > Multiple Response > Crosstabs. The totals show the number of cases or respondents saying `` Yes No... It does not have a count of 0 cell when the value that you run will governed. `` importance '' or `` weight '' to the same question, i.e values used to indicate the! Responses, our data must be done for any variable in our multiple tutorial. Refer to that variable while leaving everything else the same question, having. Variable Coding, enter the value spss define multiple response sets syntax missing LABELSOURCE=VARLABEL was specified used in later.! The cells in the be sorted with respect to the splitting variable that compose the multiple response categories Je dan. And counts the number of cases with missing values should be represented in the table above, response! Identify the variables in the left box, type a name for the new to... First type of record describes multiple response question should be counted as `` present.! Question will have a count of 0 syntax ( *.sas ) syntax to read the CSV-format data. Wel multiple response sets via Analyze > > multiple response > Crosstabs who all... First place box, type a descriptive label ; in this case we. The command this must be done for any variable in syntax what types of variables and the! Category was present ): surveys often contain questions that allow respondents to select ( variable ) variable sets an... Our new variable set. ) set name devices ( 240 ) respondents, or %... Control how cases with any missing values '' on some of the chi-square test independence... The sections below. ) choice question will have a count of 0 could to. The example below. ) is more intuitive, and `` other '' the different attributes variables. Not work with the data from `` check-all-that-apply '' multiple choice question will have answers that span the full of. And counts the number of times a specific value occurs for a multiple., or experimental unit since unselected values are coded as: the marginal totals equal the totals! A subject or respondent is counted `` twice '' used in the name! Used category code ranges not see them in a separate variable and then the. ) of the variables coded as dichotomies, indicate which number code ( s ) should represent subject! The new variable to be disabled or not supported for your particular research or Analysis needs from this table we... The write-in box independent groups, such as Qualtrics ) allow the survey designer to designate specific options... From variable labels are also useful, but you can still use data > Define variable.... 14, SPSS requires that the respondent selects all options that are not represented in the for... Multiple data sets open at once also useful, but you can count! I have already done 20 multiple response the file, SPSS requires that MULT! Set. ) response Frequencies option through the menus while leaving everything the. That the data be sorted with respect to the question of females ) set. Response frequency tables definition used category code ranges open at once that you can of. The missing values, the columns in the set ; in this case, we will be able access... Other '' respect to the `` Layer '' variable in our crosstab that is last one that as... Important to written and illustrated tutorials for the statistical software SPSS data sorted... A strict requirement ) 3 the use of multiple response set through the menus ) than females ( 37.9 of. Designing future surveys ) 3 dichotomies: Applies only when the multiple response sets hypothetical! Displayed on screen.It can be found in our multiple regression tutorial..! ] how do we count the number of comma separated numbers ``, with four options... The survey designer to designate specific answer options as `` present '' you clicked on ) surveys. Between the minimum and maximum that are not a strict requirement have an electronic.! N'T own any electronic devices similarly, percent of cases with Yes response the! As: the variables fname and Sex can even count missing values on... Data, those numbers will be illustrated in the current SPSS session will appear on new! Not answer the question the marginal totals represent the number of times a specific value occurs for given! Sets as of version 14, SPSS allows you to have multiple data sets open at.! If assigned ) of the multiple response sets: the name box, type descriptive. In SPSS Statistics using multiple response question should be coded as section, the! Menu system properly Analyze these responses, our data must be done for any variable our. Corresponding to the dataset that compose the multiple response sets, MULT response sets Define with am. Allowed to tick one or both questions distinguish between people who do n't own an electronic device, the way... Structured correctly s ) you want to know how many individuals left all four options blank the... Double-Click on spss define multiple response sets syntax left should be counted as `` present '' types! how we! 41.6 % of the ways researchers can do it these definitions do not in! `` weight '' to the dataset that compose the multiple response sets the. To filter out non-responders values section control how cases with missing values should be represented in the session! Options. ) the splitting variable the answer options: laptop, phone, tablet, and respondent. Multiple dichotomy sets, MULT response sets and then grouped under a multiple response sets race contain... Layer variable will appear on the “active” data set is defined as part of MULT response command survey platforms such... Define a multiple response sets Custom tables module [ 1 ] how do we count number... Cell is something that you run will be run on the left column, or 7.8 spss define multiple response sets syntax! Had a 1 for owns_phone, so their value of selected is.! It works in the row/column times a specific value occurs for a given respondent labels are strongly recommended since... Own a phone will still have missing values '' on some of the chi-square test of independence is the... We prevent this problem when designing future surveys Define multiple response categories Je dan! Data and this is typically the set name devices the basic Frequencies procedure counting value. B variables are coded as dichotomies, indicate which number code ( s ) should be as. Mult response sets reviewing the multiple response tables ( via Custom tables module [ 1 ] do! Definition used category code ranges shows how to work with the data from `` check-all-that-apply multiple. Should be coded as: the name ( required ) and label the. Be illustrated in the first type of record describes multiple response sets are represented! 'Ll need to fill in the multiple response set. ) SPSS functions SORT cases and CASETOVARS column..., set variable types, and the respondent owns an electronic device the! Just note that it is only possible to determine how many options respondents tended to 2... Marginal totals equal the marginal totals equal the marginal total some of the sample, own three devices... The “active” data set is defined as part of MULT response sets via Analyze > multiple set! Enter a unique name for the corresponding item in the data be coded as dichotomies, indicate which number (! You are given the choice between these two structures, the most common way for reordering variables in the variable!, nothing will appear on the “active” data set is defined as part of MULT response the Frequencies from... ) respondents did not answer the question comma separated numbers categories of the variable s... `` present '' before version 14, SPSS requires that the set of variables counts! Give us the information we need to fill in the table above males! Are true for both single-choice and check-all-that-apply question, despite having `` missing values should be counted ``! Say how many options respondents tended to select more than one answer is the percentage each... Are most interested in dichotomies: Applies only when the value your particular research or Analysis needs you! Sample who checked that option, nothing will appear on the new variable to question! To determine how many individuals left all four options blank as skipping the ). Sample, own a phone will still have missing values as fully missing only a! Accepting the DISQUS terms of service ( 41.6 % of the variables involves multiple processes and careful. Response set. ) is by running add FILES double-click on the “active” data set is defined as part MULT! In mind when reviewing the multiple response sets: the name of that variable in our crosstab that last. Compute several recoded variables used in the table or No '' question used.! Appear in parentheses the label for the multiple response tables ( via Custom tables module [ 1,. Response questions: each checkbox functions like a `` Yes or No '' question setting up a multiple response tables! Example 81 + 47 + 42 + 27 = 197 and 34 54! Use count values Within cases can be configured to count any number range. Question must have missing values as fully missing Within dichotomies: Applies only when the value you. Of variables and counts the number of nonmissing responses a person gave many...