Tagged Questions

2
votes
2answers
52 views

Which is applicable, ordinal or multinomial regression model?

I have done a job satisfaction survey where the DV is a 7 point Likert type scale and 5 IVs with 6 point Likert-type scale and 6 IVs with 5 point Likert type scale, all ordinal. Which type of ...
3
votes
1answer
34 views

Given the below dependent variable description, should I chose either Ordered or Multinomial logistic regressions?

My dependent variable looks like a range of ranks. It actually might be considered that way. But the ranking is based on subjective non-quantifiable cutoffs. We assessed the behaviors of a group of ...
1
vote
1answer
52 views

Why do Minitab and SPSS give opposite results in Ordinal Logistic Regression?

I run an ordinal logistic regression model using both SPSS and Minitab. The dataset is exactly the same. The results are exactly the same, but in opposite directions. I have not manipulated default ...
3
votes
0answers
46 views

Generalization of cumulative probability models for ordinal Y

There are many models in existence for ordinal $Y$, for example the proportional odds ordinal logistic model, the continuation ratio model, and the cumulative probit model. The first and third of ...
0
votes
0answers
25 views

Modelling a skewed, 10-point Satisfaction variable

I am trying to replicate and hopefully improve on an analysis done in a study to find determinants of patient satisfaction after shoulder surgery. Satisfaction is heavily skewed (with over 60% of ...
3
votes
2answers
71 views

Is this a case for ordered logistic regression?

I have the following study setup: Three groups of people were asked a question, and the answer was ordinal (likely, somewhat likely, somewhat unlikely, unlikely). In my data set, I have a contingency ...
2
votes
3answers
154 views

Pros/Cons of recoding ordinal/nominal variables to target mean for logistic regression?

Say I have an independent variable with the following relationship to the binary dependent variable, DV: ...
0
votes
1answer
151 views

Ordinal dependent variable with continuous independent variables

I have an ordinal dependent variable, named D, which varies from very small, small, medium, big, to very big. This variable depends on the independent variables X, V, which are continuous variables. ...
1
vote
1answer
171 views

If using interval data (independent variables) and grades (outcome or dependent variable), what type of analysis would one use?

First of all, my background in statistics is a bit shaky these days due to a trauma to the brain. I am considering a study that examines at least three independent variables (e.g., creativity, locus ...
1
vote
1answer
190 views

Analysing a grouped 0 to 10 scale using ordinal logistic regression

I read in an article that the logit link is considered suitable for analyzing ordered categorical data evenly distributed among all categories. I want to do ordinal logistic regression and I have an ...
0
votes
0answers
76 views

How do you perform a bayesian ordered logistic regression in R?

Trying to perform a Bayesian ordered logistic regression in R where age is my outcome variable. I have installed the ARM package but I am unsure how to go about generating my model in R. I also need ...
1
vote
1answer
63 views

Ordinal variable with 0.3% of observations in one category - delete, ignore?

The response variable in my ordered logit model has 5 categories ranging from '1 = strongly disagree' to '5 = strongly agree'. However, only 0.3% of observations fall into category 1 (4 observations ...
2
votes
0answers
343 views

Measure of goodness-of-fit in Ordinal Logistic Regression with continuous independent variable

In case of the ordinal logistic regression, both of the goodness-of-fit statistics, Pearson and Deviance goodness-of-fit measures, should be used only for models that have reasonably large expected ...
0
votes
0answers
164 views

Interpretation of ordinal logistic regression output from SAS

In the SAS output for ordinal logistic regression, how should "Assessment Score Rankings" and "Assessment Score Distribution" tables be interpreted?
1
vote
1answer
55 views

Ordinal Logistic Modeling

When making ordinal logistic models and you have two or more parameters how can you tell which one has a greater effect on the response variable?
2
votes
1answer
65 views

Experimental Design for Comparative Responses

Suppose I were looking to optimize the amount of certain spices in a chili spice recipe. The textbook experimental design would have me encode the amount of each spice in the design variable, choose ...
1
vote
0answers
110 views

Are there packages for fitting ordinal logistic/probit mixed models with random slopes in R?

I'm looking for a way to fit an ordinal logistic and/or probit mixed model that includes random slopes. The only package for R I could find that allows for random effects at all in ordinal mixed ...
3
votes
1answer
252 views

Binomial / multinomial logistic regression or chi-squared

I am currently doing my fourth year thesis examining the moral stages of children/adolescents. The DV is the moral stage (categorical variable, stages 1, 2, 3, or 4) and the IVs are age group (I ...
2
votes
1answer
244 views

Overall significance test for the effect of an independent continuous variable on a categorical dependent variable

If I have a dependent variable having more than two categories (the categories can be ordered) and a few independent variables which are all continuous, then how can I see whether the independent ...
0
votes
0answers
172 views

What are the assumptions of ordinal mixed effects logistic regression?

Specifically, what are the assumptions of ordinal mixed effect logistic regression performed with the "ordinal" package in R? I just got knobbled by a reviewer because these weren't clearly stated in ...
5
votes
1answer
261 views

Testing for trends in partial proportional odds models

I am trying to build a model to explain an ordinal response variable $y$ with 4 levels: $y_0$, $y_1$, $y_2$ and $y_3$. The independent variable in this model is $v$. $v$ is a categorical variable ...
2
votes
2answers
959 views

Proportional odds assumption in ordinal logistic regression in R with the packages VGAM and rms

An assumption of the ordinal logistic regression is the proportional odds assumption. Using R and the 2 packages mentioned I have 2 ways to check that but I have questions in each one. 1) Using the ...
3
votes
1answer
621 views

Interpreting coefficients of ordinal logistic regression when there is clustering within the data

I have built and refined a regression model using the ordinal package in R. The measure is $0>1>2>3>4>5$ (Yes/No ...
5
votes
0answers
306 views

AUC in ordinal logistic regression

I'm using 2 kind of logistic regression - one is the simple type, for binary classification, and the other is ordinal logistic regression. For calculating the accuracy of the first, I used ...
5
votes
1answer
739 views

Power analysis for ordinal logistic regression

I am looking for a program (in R or SAS or standalone, if free or low cost) that will do power analysis for ordinal logistic regression.
0
votes
0answers
271 views

Using Rasch model to explain relationships between a set of dependent and independent variables

My research study is in development economics. My data consist of more than one independent variables (continuous and categorical) as well as more than one dependent variables (categorical 5-point ...
1
vote
1answer
631 views

More than one outcome (dependent) variables in ordinal logistic regression

I want to run ordinal logistic regression (OLR) in SPSS. My data include 6 predictor variable (two continuous and 4 categorical ) but my outcome variables are also 6 (categorical-likert scale). e.g my ...
3
votes
2answers
569 views

How do you predict a response category given an ordinal logistic regression model?

I want to predict a health problem. I have 3 outcome categories that are ordered: 'normal', 'mild', and 'severe'. I wish to predict this from two predictor variables, a test result (a continuous, ...
3
votes
1answer
585 views

Independent variables in ordinal logistic regression

One of my IV's for my ordinal logistic regression is a nominal categorical variable with 4 categories. Most examples I see for this type of logistic regression have only binary categorical variables. ...
2
votes
1answer
1k views

How to perform repeated measures ordinal logistic regression using SPSS?

I'm usually a UseR. However, for didactic purposes I have to use SPSS today. I have to specify a General linear model with ordinal structure because what I'm examining is: Change in Likert scale ...
0
votes
2answers
183 views

Interpretation problems for 9 categories of response variable in ordinal and probit regression

I have 9 categories of response variable, and facing interpretation problems. Could I use this ordinal data as continuous data? If not then please refer me to some example with more than 5 ...
8
votes
3answers
312 views

What do I gain if I consider the outcome as ordinal instead of categorical?

There are different methods for prediction of ordinal and categorical variables. What I do not understand, is how this distinction matters. Is there a simple example which can make clear what goes ...
2
votes
1answer
167 views

Consequence of ignoring the order of a categorical variable with different levels in logistic regression

As title, I have hesitating whether I should use ordinal logistic regression or not, but I don't think I have time to understand that and to figure out how to work it out in R, can I just ignore it? ...
10
votes
2answers
3k views

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?