## How do I combine variable values in SPSS?

How to Combine Variables in SPSS

- Pull Up Data. Go to “File” in the tool bar at the top of the page in SPSS.
- Add Variables Together. 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.
- Multiply Variables.

**How do I combine categories in SPSS?**

In the Categories pane, select the elements you would like to merge together. From the menus, choose Categories > Merge Categories. The Category Properties dialog box is displayed in which you enter a name for the newly created category. The selected categories are merged into the new category as subcategories.

**How do I combine frequency tables in SPSS?**

2.6. 1.3. SPSS: Frequency table of multiple variables with same values

- Click in the menubar on Analyze.
- Click on Tables (or in version 23 on Custom Tables)
- Click on Custom Tables.
- Select all the variables that you want to show and have the same values.
- Move them all to the Rows.

### How do you recode multiple variables in one variable in SPSS?

To recode into different variables, click Transform > Recode into Different Variables. The Recode into Different Variables window will appear. The left column lists all of the variables in your dataset. Select the variable you wish to recode by clicking it.

**How do I Dichotomize a variable in SPSS?**

1. Select Transform/Recode/Into Different Variables. 2. Select the variable to be dichotomized.

**How do I combine multiple categorical variables in SPSS?**

SPSS Combine Categorical Variables Syntax

- *1. Declare new tmp string variable. string tmp(a1000).
- *2. Combine values and value labels of doctor_rating and nurse_rating into tmp string variable.
- *3. Convert string variable into numeric.
- *4. Delete tmp string variable.
- *5. Optionally, apply variable label to end result.

## How do I group categorical variables in SPSS?

Running the Procedure

- Click Data > Split File.
- Select the option Organize output by groups.
- Double-click the variable Gender to move it to the Groups Based on field.
- When you are finished, click OK.

**How do I create multiple variables in one table?**

You can create tables with an unlimited number of variables by selecting Insert > Analysis > More and then selecting Tables > Multiway Table. For example, the table below shows Average monthly bill by Occupation, Work Status, and Gender.

**How do I compare three groups in SPSS?**

Running the Procedure

- Open Compare Means (Analyze > Compare Means > Means).
- Double-click on variable MileMinDur to move it to the Dependent List area.
- Click Options to open the Means: Options window, where you can select what statistics you want to see.
- Click OK.

### Why do we Dichotomize variables?

Re- searchers may dichotomize independent variables for many reasons—for example, because they believe there exist distinct groups of individuals or because they believe analyses or presentation of results will be simplified.

**What is a grouping variable?**

Grouping variables are utility variables used to group, or categorize, observations. Grouping variables are useful for summarizing or visualizing data by group. A grouping variable can be any of these data types: Numeric vector.

**What is an example of an ordinal variable?**

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## How to dummy code SPSS?

– Click T ransform > Create Dummy Variables on the main menu, as shown below: Published with written permission from SPSS Statistics, IBM Corporation. – Transfer the categorical independent variable, favourite_sport, into the C reate Dummy Variables for: box by selecting it (by clicking on it) and then clicking on the button. – Click on the button.

**Which variable is ordinal?**

An ordinal variable is a categorical variable for which the possible values are ordered. Ordinal variables can be considered “in between” categorical and quantitative variables. Example: Educational level might be categorized as. 1: Elementary school education. 2: High school graduate. 3: Some college. 4: College graduate.

**How to perform multiple linear regression in SPSS?**

– run basic histograms over all variables. Check if their frequency distributions look plausible. – inspect a scatterplot for each independent variable (x-axis) versus the dependent variable (y-axis). – run descriptive statistics over all variables. – inspect the Pearson correlations among all variables.