Linked Questions
17 questions linked to/from Logistic regression and ordinal independent variables
34
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3
answers
52k
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How to handle ordinal categorical variable as independent variable
I am using a logit model. My dependent variable is binary. However I have an independent variable which is categorical and contains the responses: ...
20
votes
2
answers
13k
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Logit with ordinal independent variables
In a logit model, is there a smarter way to determine the effect of an independent ordinal variable than to use dummy variables for each level?
12
votes
3
answers
56k
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Can I use multiple regression when I have mixed categorical and continuous predictors?
It looks like you can use coding for one categorical variable, but I have two categorical and one continuous predictor variable. Can i use multiple regression for this in SPSS and if so how?
thanks!
1
vote
2
answers
7k
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Is education continuous or categorical?
When estimating the returns to education, you can measure education by adding a quantitative variable school years, or as a set of indicator variables representing the different levels of education. ...
1
vote
3
answers
13k
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Ordinal data in regression?
My data is almost only ordinal data. My dependent variable is a 4 point scale:
1 = completely agree
2 = agree to some extent
3 = disagree to some extent
4 = completely disagree
I want to use ...
3
votes
1
answer
11k
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Using ordered factor as predictor in R [duplicate]
This is a really simple problem I am having, yet for the life of me I can't find a solution searching around. In theory I can simply recode the data, but that is an extreme solution I would rather not ...
1
vote
1
answer
615
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Is it possible to use ordered categorical independent variables in logistic regression?
I'm trying to model a logistic regression in R between two simple variables:
Rating: An independent ordered categorical one, ranging from 1 to 99 (1, 2, 3, 4, 5, 99 in particular, 1 is the best)
...
2
votes
1
answer
923
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Logistic Regression with Dummy dependent and Ordinal independent variables
I am working on model that involves a dummy dependent variable with probabilty of occurance of event (0,1) and ordinal independent variables (with the value increasing with the number of times another ...
1
vote
1
answer
528
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How to use ordinal data as explanatory variables in OLS
What is the correct way to handle ordinal variables in multiple regression? (This might seem very basic for some of you here). I'm using an ordinal variable in a multiple OLS regression model (1-4, ...
0
votes
2
answers
158
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Non-significant results from logit model with one categorical independent variable
My model consists of a dependent variable $y$ that can take values 0 and 1. The independent variable $x$ is a categorical variable that can take values, 1, 2 and 3. The logit model looks like this:
$$...
1
vote
1
answer
83
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How to consider wage data in a logistic regression model when the values are bucketed?
If I have data such as
wage :
under 10K
10K - 20K
20K - 40K
40K - 80K
over 80K
don't know
rather not say
Which I ...
3
votes
0
answers
149
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How to handle ordinal predictors/independent variables in LASSO?
Hello: I would like to select independent variables from a list of 150 using LASSO. Most of the independent variables are in Likert Scale (1-strongly disagree, ..., 5-strongly agree). It is better to ...
1
vote
0
answers
120
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Treating Categorical Data as nominal or ordinal? [duplicate]
There is a four category classification system for individuals with HIV, labeled Stages 1, 2, 3, and 4, with higher stages indicating more advanced disease. Cell count is a continuous variable, and ...
0
votes
1
answer
60
views
Can logistic regression predictor variables be nominal?
Can logistic regression predictor variables be nominal (like the charlson comorbidity index which ranges from 0-6)?
0
votes
0
answers
84
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Correlation between Ordered Variable and Categorical Variable
I am analyzing Opportunities for Sales people.
I have a categorical variable which is Status:{Won,Lost} My dependent variable, and other Independent ordered variables like the stages of the ...