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Questions tagged [ordered-logit]

The ordered logit model (also known as ordered/ordinal logistic regression) is an extension of the logistic regression from binary dependent variable to an ordinal dependent variable. A widespread special case is proportional odds model.

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Do the threshold values in the results of Ordinal Logistic Regression need to be strictly increasing?

I understand that the estimates of the thresholds should be strictly increasing from here and this youtube lecture. This is because they represent the thresholds that determine which output class the ...
jojorabbit's user avatar
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estimating category thresholds across a continuous variable using Ordered logistic regression

I've got a set of tomatoes at various stages of ripening, with as an ordered categorical variable ["green","yellow", "orange","red"], along with their weight as ...
Nath's user avatar
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Why is the ordinal logit also called POLR?

The ordinal logit is often referred to as proportional odds logistic regression (POLR, e.g. in R). I am wondering where the term proportional is coming from? It is clear to me that the logit model is ...
Marlon Brando's user avatar
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How to interpret ordinal data in logistic regression, both negative coefficients

I have a logistic regression model that has a bunch of variables in it, including a variable of rurality that has three levels (urban, rural 1, and rural 2). That is an ordinal variable. My model has ...
Scott's user avatar
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what are the consequences of re-encoding with 0 or -1?

I have a dataset of information about students and the last column is the target variable which is the final note. My goal is to make logistic regression and ordinal regression models to see whether ...
Moez Daly's user avatar
4 votes
1 answer
123 views

Sample size calculation for proportional odds model

Apologies in advance for my lack of statistical knowledge/insight! I am trying to calculate the sample size for a clinical trial of treatment A versus placebo with primary outcome of prolongation of ...
Catherina Muscat's user avatar
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Checking my interpretation of the odds ratio in OLR [duplicate]

I have run an ordinal logistic regression (response variable is "classification" with three ordered levels: control, intermediary group, and disease group). The predictor variable is a ...
Cam_stats's user avatar
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32 views

Interpretation of negative coefficients in ordinal regression in spss

I have built an ordinal regression (logit) in the spss for data in the likert scales. I put the independent variables into factors, not covariates. As far as I understand, this should be done with ...
TylerJ's user avatar
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Estimating Average Marginal Effects with Ordered Logistic Regression

I am estimating a series of ordered logistic regression models for a 4-level ordered dependent variable and I am trying to estimate the average marginal effect (using {marginaleffects}) of moving from ...
Brian Lookabaugh's user avatar
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38 views

What is bhat from emmeans in clm ordinal models? And how does it relate to the model coefficients?

I am researching how ordinal models work in conjunction with marginal means. I am stuck with understanding a particular part of the emmeans output, specifically what bhat contains when building an ...
SamPassmore's user avatar
1 vote
1 answer
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In a proportional odds model, when two adjacent categories are pooled together, the estimated parameters (slopes) are changing, even they shouldn't

In several articles I've red that when using proportional odds (PO, or cumulative logit) model it is natural to collapse adjacent categories of outcome since the slope parameter remains unchanged. ...
Bettina's user avatar
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Ordinal Logistic Regression SPSS Interpretation

I have data from a questionnaire study structured like so: Age - Ordinal (18-24, 25-34, 35-44, 45-54, 55+) Gender - Nominal (Male, Female) AnxietyType - Nominal (Self-diagnosed, Professionally ...
amydowse's user avatar
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In ordinal regression cumulative link models, when to use scale effects (versus/with random intercepts)

When fitting a cumulative link mixed model (clmm) using the ordinal package in R we have the option to provide random effects ...
JWilliman's user avatar
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How should I deal with an ordered logit model with numerous, mutually exclusive dummy variables?

I an trying to estimate an ordered logit model where the DV is a likert-scale response (1-5) and I have 6 independent dummy variables representing whether an observation belongs to one of six mutually-...
Haris's user avatar
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1 answer
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What type of regression to use when outcome is integers from 0 to 10

I have an outcome variable that measures "community perception," with responses ranging from $0$ to $10$. For instance, the outcome variable might represent answers to the question: "In ...
Carlos Ramos's user avatar
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R model for proportional odds methodology for scale variable that allows for variable improvements

I'm looking to understand what would be the most appropriate R model for fitting a clinical dataset in which the dependent variable is the change in a 5-point scale and the end of treatment. The data ...
wingsoficarus116's user avatar
7 votes
1 answer
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Ordinal log-loss in a multiclass classification in XGBoost?

I have a multi-class problem that which classes are simultaneously mutually exclusive and have ordering. You can think of the classes as being some score: 0 (Low), 1 (Medium), 2 (High). What I would ...
deblue's user avatar
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1 answer
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Why shouldn't I run a logistic regression with dependent vars between 0 and 1?

I'm trying to predict the probability of an individual progressing all the way through a series of tasks. I have participants, they participate in Task 1, if they succeed, they move to Task 2, if they ...
M_Wholey's user avatar
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Is there a significant difference between the number of lecture sessions students attend and their final grades?

I have a database with number of sessions students attended and their final grades as Fail, 3, 4 and 5. Which test should I run to find out if there is a relationship between their attendance and ...
yahya's user avatar
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2 votes
0 answers
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Analysis of a case-control study using ordinal logistic regression

Suppose we have data from a case-control study where for each case having had some disease or event $Y_{binary}$ a control was included that was free of $Y_{binary}$. Due to this study design we ...
incredible interval's user avatar
1 vote
1 answer
664 views

How to interpret interaction effect in ordinal (logistic) regression?

I ran an ordinal regression in R with the polr function from the MASS package as described in this tutorial, which is very good. However, the tutorial does not ...
Simone's user avatar
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Conditionally Quasi-random Choices and Qualitative Dependent Variable Models

I have a scenario about limited dependent variable models and some of their implications. Suppose that I estimate some limited dependent model, it does not really matter which one, that captures the ...
DarkenExcalibur's user avatar
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"decreased", "same", "increased" outcomes : ordinal logistic vs multinomial logistic?

I am conducting a study where I have ordinal categorical outcome variables representing frequency for two distinct periods. My goal is to consolidate the responses from these periods into a single ...
HYL's user avatar
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High Type 1 Errors in Power Analysis by Simulation for Null Effect with Multilevel Ordinal Regression with Cumulative Link Model

I am doing a power analysis for an experiment where we will fit a cumulative link model for ordinal regression. But when I do the power analysis, my power for the null effect is between 20% and 30%. ...
chasmani's user avatar
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How do I check proportional odds assumption for cumulative link mixed models?

I am using ordinal R-package to fit a cumulative link mixed model to an ordered, categorical outcome (5 levels) using logit function as the link function. The model is a random intercepts only model. ...
medium-dimensional's user avatar
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Are cumulative link models multinomial generalized nonlinear models?

I am trying to understand the following statement (Christensen and Brockhoff, 2013): Cumulative link mixed models is a member of a class of models sometimes referred to as multivariate generalized ...
medium-dimensional's user avatar
5 votes
1 answer
349 views

What is a visual representation of an ordinal logistic fitted model

Naturally, the above image is a graphical representation of a sigmoid function fit for a logistic regression I'm trying to understand the equivalent of an ordered logit. Below is an image that, to the ...
bluegopher's user avatar
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2k views

Ordinal regression using statsmodels OrderedModel - basic interpretation

I want to run an ordinal regression in Python. My dependent variable describes a medical condition in an ordered manner (e.g. 0 = healthy, 1 = affected, 2 = very affected, 3= severely affected). I was ...
Jer Sto's user avatar
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Easy goodness of fit tests when using svyolr package (ordered logit regression on complex survey data)?

for a uni project I am running an ordered logit regression on survey data, using the svyolr package in R. I am looking to report some sort of goodness of fit for the model but am struggling to find ...
Ollie's user avatar
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1 vote
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63 views

How to Conduct and Analyze Time Series Ordinal Logistic Regression using R?

I am working on a project where I have collected ordinal outcome data at three different time points. I am interested in modeling the change over time with these ordinal outcomes. Initially, I ...
Karl A's user avatar
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1 answer
317 views

How to get model fit from GAM with ordered categorical data?

I am using a GAM with ordered categorial data to estimate temporal trends in shifts from one category to another. I would like to add the model fit to my data, but I don't know what to do with what I ...
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199 views

Calculating confidence intervals for coefficients in ordinal logistic regression

I've fitted an ordinal logistic regression model in R using MASS::polr and I am looking to compute confidence intervals for the fitted coefficients. Here is the (...
damtheduck's user avatar
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0 answers
41 views

Rank-Ordered Logit models for partial rankings with time as covariate

I'm working on a problem which requires a ROL model, the problem is R does not have much support for these in terms of packages and documentation. I want to fit a ROL model to partial rankings with ...
spazznolo's user avatar
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2 votes
1 answer
193 views

How to choose theta θ thresholds for ocat family in mgcv package. (ordinal regression)

I have a dependent variable named "FGR" which represents a ratio and takes values between 0 and +Inf. The histogram plot below illustrates the distribution of FGR, excluding +Infinite values ...
insan's user avatar
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What is wrong with my coefficient's standard error?

I am running an ordered logistic regression for my thesis. I am trying to test the relationship between counterterrorism aid and state repression levels in recipient countries. I ran my regression, ...
EmStaLo's user avatar
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-1 votes
1 answer
47 views

How to encode labels for for ordered categorical target? Is there an algorithm for this type of problem?

I have a classification problem, with a target categorical variable. Is a string variable that involves some sort of classification: good, medium and bad. Is there some algorithm or technique (...
Kaikus's user avatar
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1 vote
1 answer
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Models for a discrete numerical response with only 5 distinct values

I have a response variable that takes on only 5 distinct values: -15, -5, 0, 5, 15. These values are obtained in a clearly categorical manner, meaning: if event A happens, then the outcome is 5, if ...
UsDAnDreS's user avatar
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Ordinary logistic regression correctly applied/ is the model correct to answer my question [duplicate]

I am trying to model the following and would be happy about input/if its correct. I want to compute a model that checks on differences between Statuses between data sets plotted here on the graph: The ...
Sofia's user avatar
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3 votes
1 answer
189 views

Use count data models when the dependent variable is a ranking (with panel data)

I am currently writing a Master Thesis about the relationship between academic freedom and World University Rankings (such as ARWU, Times Higher Education, etc). I am using panel data. My dependant ...
Muller I. 's user avatar
1 vote
0 answers
24 views

Assign dynamic weight to group of variables

I am building a ordinal logistic regression model, with 10 independent categorical variables (X1 .... X10). I would like to split the variables into groups of importance and assign 60% weight to group ...
perumadan's user avatar
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0 answers
207 views

Mediation analysis in mixed model ordinal logistic regression

For my thesis i want to perform a mediation analysis in a mixed model ordinal logistic regression. y = survey data (ordinal variable) x = year (2021 data compared to 2020 data) ...
Eli Jong's user avatar
3 votes
1 answer
605 views

Interpreting ordinal regression output in R polr()

I ran an ordinal regression in R using polr(), and have checked the proportional odds assumptions with brant() from the brant package. I am very new to ordinal regression and I am a bit confused about ...
ouroboro's user avatar
1 vote
1 answer
85 views

Statistical significance test for ordered data and related effect size

I have data of the following form: Rating 1 2 3 control 0 20 11 treatment 6 14 12 Where 1 is a plant of top quality, 2 is a plant of lesser quality that USED TO BE top quality, and 3 is a plant of ...
Wilhelm's user avatar
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1 answer
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When performing a 3-step analysis in Latent Gold, should I use ML or BCH to model an ordinal outcome?

I'm performing a 3-step analysis in Latent Gold 5.1. In step 3 I estimate a model with an ordinal distant outcome. The documentation of Latent Gold gives advice for when to use ML (categorical ...
JJW's user avatar
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137 views

Ordinal Logistic Regression is not giving reasonable results

I am quite new to this kind of statistics, so please be kind to me! I am currently trying to use statsmodels to run an ordinal logistic regression(https://www.statsmodels.org/dev/examples/notebooks/...
Douglas Abrams's user avatar
2 votes
0 answers
132 views

How to test PO assumption in complex survey data (svyolr) in R?

I need to test the proportional odds assumption of an ordinal logistic regression of complex survey data. The model is estimated using survey::svyolr(). How can I ...
abrar's user avatar
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2 votes
1 answer
284 views

Plotting multinomial choice regression model in R

I generated myself some data to try some data with 4 levels (health status based on body-mass-index, please don't judge me if the values don't make sense): ...
Sebastian Geis's user avatar
3 votes
1 answer
199 views

Is multivariate ordinal regression suitable for my reserach?

I want to test what leads to the support for two policies (Likert scale ß disagree to strongly agree). There are independent variables, some of which are demographic and two are of interest (...
Lia's user avatar
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0 votes
1 answer
167 views

Ordinal logistic regression assumption

I aim to build for the first time an ordinal logistic regression between a dependent ordinal categorical variable (temperature sensation vote TSV, Y) coded on a bipolar ordered 6-point scale (from ...
Manon KOHLER's user avatar
0 votes
0 answers
130 views

The use of tau cuts from an ordered logistic regression

I runned several ordered logistic regression using the polr function from the MASS package and interpreted the odds ratios for each model. However, I'm in doubt how to use the intercepts/tau-cuts from ...
rr19's user avatar
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