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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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 ...
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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 ...
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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%. ...
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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. ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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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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 (...
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Prediction intervals using predict.polr vs predict

I am a little puzzled by this - hope you will give this a shot! I am looking for a way to get prediction intervals from an ordered logit model (polr()). The ...
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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 ...
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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 ...
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Is fixed-effects ordered logit models (feologit in Stata) suitable for matched case-control data?

Does anyone happen to be familiar with this method: fixed-effects ordered logit models (feologit in Stata)? In this paper: https://journals.sagepub.com/doi/pdf/10.1177/1536867X20930984 In the paper, ...
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How can I code an ordered logistic regression for panel data in R?

I am writing my thesis, and I am trying to test the relationship between transnational counterterrorism and state repression in countries of intervention. My independent variable is counterterrorism ...
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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, ...
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Probability to belong in a class in a Proportional Odds Logistic Regression

I'm having trouble understanding how the probability of belonging to each class is being calculated. Appreciate it if someone could help me out! Assuming the dependent variable with 3 ordinal classes (...
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Mediation analysis with interactions and an ordinal mediator produced by mixed level modeling

I have two models that have fairly good support, to wit: A clustered AFT model where time is right-censored (trial failure), regressed off genotype, age, and day of trial, clustered by specific animal....
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How to do ordinal logistic regression (OLR) on survey data with categorical answers?

I am trying to learn how to use r to perform an ordinal logistic regression, in order to look for correlation between survey questions with categorical answers and another question asking about level ...
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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 (...
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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 ...
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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 ...
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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 ...
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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 ...
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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) ...
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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 ...
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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 ...
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Does including random effects in CLMM alter the calculation of OR?

I'm having trouble using the output of a model to find OR and 95% CI. I've created two models. Model 1 has no random effects (clm) and model 2 includes random 1 random effect of participant ID ...
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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 ...
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Rank ordered logit model based on large numbers of items

Say I have a set of 50 sweets of 5 different types, and a child makes a choice from all those available to pick and eat one. They repeat this until none are left. I give the same set of choices to 30 ...
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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/...
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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 ...
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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): ...
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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 (...
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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 ...
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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 ...
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Updated: How to do a sensitivity analysis for an ordered logistic regression in R?

How would you do an robustness or sensitivity analysis for an ordered logistic regression? Can it be done by replacing the control variables with others that are similar in the model? For instance ...
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The definition formula for $c$-index?

I'm sorry if this question sounds trivial or is a duplicate, but I could't find a definition formula for the $c$-index. There are numerous questions and answers about it, but all I have skimmed assume ...
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Ordinal logistic regression with aggregated data

I'm wondering if it is feasible to conduct a ordinal logistic regression on the following dataset. I want to investigate if there is a correlation between the alcohol outlet density (as counts) and ...
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Multicollinearity for ordered logistic regression

How is multicollinearity calcuated for an ordered logistic regression if R^2 is not determined for this type of regression? Because the formula for vif says: 1/(1-R^2) In R the looking up ...
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Can the s.e. be used to identify heteroskedasticity for an ordered logit regression?

The title of this post actually says what I want to ask about. To detect heteroksedasticity for an ordered logit regression using the polr function in the MASS package in R can the standard error from ...
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Multivariable logistic regression where dependent variable has multiple levels using survey data in R

I have survey data for which I would like to run a logistic regression analysis. The dependent variable here has multiple levels (i.e. A, B, C, etc. but there is an order to them A < B < C). The ...
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What can cause violation of the proportional odds assumption?

What can the reasons be that the assumption of proportional odds / assumption of parallel regression lines is not met? By using MASS::polr in R, I tried to run ...
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How to interpret the odds ratio of an ordered logit regression with ordered variables?

I'm trying to understand the interpretation of ordered logit regression. So, here is explained an example of a regression. Let's say I estimated an ordered logit regression with health as dependent ...
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R ordered logit regression polr

I have result from R: polars ...
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Can the coefficients in ordered logit be interpreted or is it necessary to determine exp()? [duplicate]

When estimating an ordered logit using MASS::polr is it then possible or a good idea to interpret the coefficient from the summary output or is it necessary to determine the exp() and use the ...
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What is your recommendation for using ordered logit regression?

I'm estimated the effect of discrepancy of working hours on satisfaction of life, so I modeled an ordered logit regression using MASS:polr for my thesis. I created ...
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Alternative-specific slope ordered probit

Consider the following ordered response model: $Pr[Y=j|X]=Pr[\alpha_{j-1}-x'\beta_{j-1}<u<\alpha_{j}-x'\beta_{j}]\quad j=1,2,3,4$ i.e. the coefficients of x is alternative-specific. Can we ...
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How to check heteroskedasticity in ordered logistic regressionmodels? [duplicate]

When estimating an ordered logistic regression in R using library(MASS)::polr how can I check for heteroskedasticity and fit it if it's exist? I'm self-studying the ...
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