Timeline for Ordinal or binomial regression?
Current License: CC BY-SA 3.0
6 events
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| Mar 26, 2016 at 22:15 | comment | added | Marquis de Carabas | @MatthewRogers The answer depends on what people in your field usually do. In some fields, it may be commonplace to enter the Likert scale responses as dummy variables. In other fields, it is commonplace to dichotomize the scale variable (for example, recode "strongly agree" and "agree" to 1, and recode remaining responses to 0). A third option is to create some kind of composite measure from more than 1 questionnaire item, e.g. using PCA or factor analysis if it makes sense in your context. Without knowing too much about your ordinal independent variables, it's hard to make a suggestion | |
| Mar 19, 2016 at 20:05 | comment | added | Matthew Rogers | with the ultimate goal of trying to see which category influences the intention to vote the greatest? | |
| Mar 19, 2016 at 20:01 | comment | added | Matthew Rogers | Thanks. How would I then input this into SPSS within the context of my question? Would I have "Intention to vote" as the Dependent, and then each individual dummy variable across the independent variables - which will be 4 for each category so 16 in total? | |
| Mar 19, 2016 at 17:59 | comment | added | Marquis de Carabas | you need (k-1) dummy variables for each of your categorical independent variables, where k is the number of categories for the independent variable. For example, if you have age (5 categories), income bracket (4 categories), and number of hours of exercise per week (5 categories) as independent variables, you would need 4 age dummies, 3 income dummies, and 4 exercise dummies | |
| Mar 19, 2016 at 14:45 | comment | added | Matthew Rogers | Thanks! Are you suggesting then that I need to have dummy variables for each of my independent variables then? | |
| Mar 18, 2016 at 17:27 | history | answered | Marquis de Carabas | CC BY-SA 3.0 |