Also note that if you specify one row variable and two or more column variables, SPSS will print crosstabs for each pairing of the row variable with the column variables. Frequency analysis is a descriptive statistical method that shows the number of occurrences of each response chosen by the respondents. In the DATA window, click on Statistics at the top of the data window, then click on Summarize, and finally click on Frequencies. I am analyzing multiple response questions in SPSS. I defined a mutliple response set as below. Merging count frequencies SPSS. Drag the desired variables which are the multiple responses in the box "variables in set". The Frequency Distribution Table. Data Multiple Response. The simplest analysis we can undertake on a multiple response set is to run a frequency (Figure 5) on the new variable (Though you can also perform crosstabs To analyze multiple frequencies Figure 5 - Analyze Frequencies The SPSS multiple frequencies command. • Two ways of coding: –For each response, a variable can have one of two values e.g., 1=Yes and 2=No (“multiple-dichotomy” method) –Create a series of variables for 1st choice, 2nd choice, etc. The answers are given as "0" or "1". This form of graphical representation allows the user to determine the level of data distribution. A cross tabulation is a joint frequency distribution of cases based on two or more categorical variables. You must first define one or more multiple response sets (see "To Define Multiple Response Sets"). These definitions do not persist in the data file, but you can save the syntax. To create a frequency table or a cross table from these variables, you can let SPSS know that these belonged to each other by creating a multiple response set. When you run a multiple response frequency or crosstabs, the set is actually created within the syntax for that table, and the set only exists while that syntax is run. SPSS FREQUENCIES - Multiple Variables. Output includes both the names and values for any custom variable attributes associated with each variable. At this point, a "Frequencies" dialog box will appear. The new special variable should appear. Remember that the chi-square test assumes that each cell has an expected frequency of five or more, but the Fisher’s exact test has no such assumption and can be used regardless of how small the expected frequency is. Does anyone > know the difference betweeen the two columns? After setting up a multiple response set, you will be able to access the Multiple Response Frequencies option through the menus. In the data editor window, click the“Analyze” option, highlight “Descriptive statistics” and choose “Frequencies” on the submenu. The Multiple Response Crosstabs procedure crosstabulates defined multiple response sets, elementary variables, or a combination. -- for indicating missing values. for multiple response sets. You decide if the base used to calculate percentages is respondents or responses. Multiple Response Sets - Frequency Analysis: SPSS (2.6): When more than one response or measurement is allowed for a survey question, you can use a multiple response set. With MULTI Each column in the dichotomy is indicator of absence or presence of particular feature. How to make a frequency tabel for multiple response items Step 1 is to specify which variables have to be combined into a set; we use the DATA menu for this. Choose Multiple Response Sets and complete the dialog window as shown on the right. Obviously, FREQUENCIES can be run for multiple variables, possibly using TO or ALL. 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