Questions tagged [ordinal-data]

Data with categorical values that can be ordered by magnitude, but the exact distance (spacing) between categories is undefined or unknown.

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Differences between cumulative link models (ordinal) and multinom (nnet) for fitting multinomial data

I'm trying to understand cumulative link models and how they differ from multinom models in R. Here's a simple example of a multinom model and plot output using the nnet package: ...
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12 views

Regression with ranked and truncated dependent variable

I'm struggling to find a model that will best fit this data. The dependent variable is the ranking of a observation based on how many votes it received based of a list of choices (number of votes is ...
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Can binary data be used in ordinal regression models?

Basically I have some code which runs a lot of calculations originally on some ordinal response variable and some predictor variables, and it is based on the VGAM R package. As such, it seems like it ...
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10 views

Moderation in ordered regression

For my thesis, I have to do some regressions in STATA. I am not very good with STATA at the moment, so I would like to check if some things are correct with you. Help is greatly appreciated. My ...
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What is the best way to handle ordinal features having numeric values in python? [closed]

What is the best way to encode ordinal feature? Is it by transforming it using OneHotEncoder so values going from 1 to 7 lets say would become head of new field feature. Or by using StandardScaler() ...
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39 views

Performing and interpreting a logistic regression using ordered variables in R

I'm currently working on my first larger project with self-collected data and only few guidelines. My dataset contains 29 variables, all of which are categorical and most of which are ordered (with 2 ...
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1answer
38 views

Random forest ordinal data

I want to estimate a Random Forest in some statistical language (SAS). This can only be estimated by setting the target variable as nominal instead of ordinal. Isn't it possible to estimate a Random ...
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1answer
32 views

Does treating trial number as a continuous variable for linear models lose information?

If I create a linear model where Trial number is one of the predictors, am I losing any information by treating it as continuous (when in fact it is actually discrete + ordinal)? I believe the answer ...
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Paired experiment with trinomial response - Analysis help!

I'm looking to analyze data (in SAS) from a trial investigating the effect of a particular protective padding on preventing skin irritation at multiple body locations among spinal surgery patients. (...
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1answer
20 views

How to handle clustering analysis of data which has different numbers of levels

For example, if i have data which is along the lines of ...
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25 views

Encoding Ordinal categorical data using Python

I am trying to encode ordinal data. I found a post which suggests a way to do it. Where to find a guide to encoding categorical features? This seems to make sense. For nominal data, I would do the one-...
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2answers
122 views

Mapping categories of probability estimation onto a continuous distribution

I have a model for turning bookmaker odds into probabilities by removing the bookmaker's over-round. This generally works pretty well but I've run into an issue with certain kinds of markets, ...
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Understanding p values in ordinal logistic regression in R

I'm trying to wrap my head around ordinal logistic regression outputs in R. I've seen some similar posts before and read many tutorials, but I feel like some things are missing. What I'm looking for ...
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How can I visualize an ordinal variable predicting a continuous outcome?

What is the best way to visualize the relationship between an ordinal predictor and a continuous outcome? So far I have the below, but I feel like this is lacking... The way I modeled it is I ...
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1answer
45 views

Interpreting odds ratios in ordinal logistic regression

I am trying to predict exam performance (below, average, above) based on whether participants attended a revision class. I am analysing my data in R using a proportional odds logistic regression. I am ...
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1answer
23 views

Kendals tau-b correlation with lots of 0 variance columns

I am writing a paper that is meant to establish that certain algorithms rank candidate values accross multiple problems in a different way. To do this, I take Algorithm A and run it on the candidate ...
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Wich analysis should I use for 2 or 3 ordinal predictors and 2 nominal outcomes?

I´m actually a bit confused.These are my variables: -->predictor Variables: Ordinal Variable X (Low-high), Difficulty (low-middle-high) -->control Variable: Confidence (low-high) -->outcome Variables:...
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1answer
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Which regression is useable for an ordinal dependent and multiple discrete/ordinal/binary independent variables?

For a paper of mine I am trying to figure out if there is a correlation between success as a musician and multiple other factors. These are my variables: Dependent variable: Success from 2016 ...
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1answer
44 views

Ordinal Logistic Regression: is it normal to find very high coefficients?

I am running an ordinal logistic regression in R to assess the effect of 3 IVs (GDP, n. of bilateral agreements, HDI - all in log) on the diplomatic ranking (DV) ascribed to different countries (...
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1answer
21 views

Relationship between two categorical variable

I'm trying to check a relationship between two variable. one with three levels and other is with 7 levels. one variable is ...
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26 views

Interpretaion Of ordinal logistic regression

I have one variable overall_sentiment with (Positive, Negative, Neutral) three levels. I have one more variable comments_created_at with (Monday, Tuesday, Wed, Thu, Fri, sat, sun) 7 levels. I have to ...
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2answers
49 views

poisson vs ordinal regression

I have an outcome variable in my dataset that follows a Poisson distribution Y Frequency 0 52121 1 2831 2 34 0 - None, 1 - Moderate, 2- Severe : ...
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6 views

Ordinal Classification or Regression for ratio scala with max. and min. value

My data consists of images which have the label "-1", "0", "1". The labels are on a ratio scale (e.g. the difference between -1 and 0 is two times the difference of -1 and 1). While my training data ...
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Name of a similarity test for Ordinal data to see how similar a set of participant answers are to expert answers

I asked 12 participants in a small experiment to order 5 distorted webpages from the least to most trustworthy (1 - 5). I want to know the best way to test how similar participants answers are to a ...
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ordinal outcome and time variant covariates

I am analyzing a balanced dataset with one "ordinal" $Y_i$ and several time variant covariates $X_{ij}$ where $i$ represents subject index, $i:1,2,...n$ and $j$ represents time in hour of the day , $j:...
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14 views

Regression for continuous response and ordinal predictors ranked relative to each other

I would like to predict the value of a continuous response variable $y$ from some predictor variables $x_1, ..., x_n$ which are all ordinal insofar as their numerical values in my observations are ...
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1answer
32 views

Do ordinal variables require one hot encoding?

For categorical variables, one hot encoding is a must if the variable is non-binary . But what about ordinals? These variables are ordered but are mutually exclusive. Do they require the same ...
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6 views

Anything to watch out for in my Ordinal Regression model?

I'm trying to run data with 2 predictors. First predictor is dichotomous (treat or no treatment) and 2nd predictor is an ordinal score that goes 1 to 6 with no decimals in between (only whole numbers)....
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54 views

Ordinal Logistic Regression in R - Understanding coefficients

I am creating an OLR model using R with the polr function in the MASS package. All of my predictors are also ordinal data, all of the data is the integers from 1 to 5 coming from a customer survey. I ...
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42 views

Visualising ranked data with distribution and mean

I would like to visualise ordinal data with ranks (1st-4th) in different categories however, I'm unsure how to best go about it. I'd like to be able to see the distribution and the mean ranking for ...
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7 views

Multi level logistic regression with ordinal level dependent and independent variables

I am currently trying to run a multi level logistic regression model and struggling to identify the best way forward using STATA.Details below: Independent variable: ordinal with 5 levels Dependant ...
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1answer
43 views

Ordinal longitudinal data with unequal number of responses

I have a dataset that comprises of about 900 subjects. There are baseline independent variables which can be continuous or not (e.g. sex, age etc.). The "response" variable is a series of measurements ...
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1answer
29 views

Should I treat variables representing level of disease risk as ordinal?

I'm working with a study where we have collected the subjects' genotypes for risk factors for a disease. These can be homozygous non-risk (e.g. AA), homozygous risk (e.g. TT) or heterozygous (e.g. AT) ...
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1answer
26 views

Binary vs ordinal logistic regresson

I have made my response variable as both a binary and a ordinal variable and performed binary logistic regression respective ordinal logistic regression. If I want to test which model fits the data ...
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1answer
26 views

Is my interpretation of the results of my ordered logistic regression right?

I am currently writing my master's thesis. To analyse the results of my survey, I conducted an ordered logistic regression using Stata. My outcome variable is whether someone wants to start a business ...
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1answer
29 views

What kind of test of significance can I use on ordinal data?

I have several variables that consist of ordinal categories (i.e. no fruit consumption, 1 portion a day, 2 portions, etc.) and I would like to test whether they differ significantly with respect to a ...
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32 views

Checking if my categorical variables are really unidimensional, ordinal

I have 6 categorical variables that can have the values -1, 0 and +1. The extremes are assigned to a semantic label. During rating, the rater could select either one of the labels (-1, +1) or neither ...
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19 views

Post hoc for ordinal mixed model with multilevel categorical predictor

I have conducted an ordinal mixed model with four predictors; all of which are either ordinal or multilevel categorical. In my model comparison, I've found significant main effects and interaction, ...
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26 views

Should ordinal variable be considered multilevel categorical or continuous in mixed model?

I have an ordinal mixed model with four multilevel predictors (it's for exploration). My response variable is ranking 1-4 and so is one of my predictors. My question is if I should treat this ordinal ...
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1answer
35 views

Does “random effect” used here for the clm function (in ordinal package in R) the same as “fixed effect”?

I am trying to understand the the clm function to use it for a mixed effect ordered logistic regression. Referring to the following package In the following data, the variable 'judge' can take 9 ...
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27 views

Can I use Cumulative Logistic Regression in spite of violation of proportional odds assumption?

I have an ordinal outcome variable with the following levels (unlikely, somewhat likely, very likely) that I want to test in an adjusted regression model with about 20 predictor variables (including ...
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1answer
52 views

Test for multiple samples of ordinal data

I have 10 independent samples of ordinal data ranked 1-3. I also have predicted ranks for the same data set. I want to test if the predicted ranking matches the observed ranking at a rate better ...
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1answer
40 views

Statistical Analysis of 3 groups(parameterisation of same algorithm) under the same dataset: non-repeated measures or repeated-measures?

I'm analyzing the performance of 3 parameterizations of the same algorithm under the same dataset. This performance is user-evaluated under a single Likert-type item (5-values). Given the ordinal ...
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39 views

Choosing the appropriate test to use when analyzing categorical count data

I am analyzing data that compares responses to various questions across a variety of demographics. I want to see how the count of each response varies by each demographic group. The most basic test to ...
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Can I use item as random factor if not all participants saw the same items?

I'm running an ordinal mixed model on data collected from when my participants ranked 16 photos of people of who they think are most similar to them. Depending on the age of the participant, they ...
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2answers
104 views

How does R's lm algorithm handle factors [closed]

I thought they use discriminant analysis as discribed e.g. in chapter 4.4. in James et. al. "An Introduction to Statistical Learning with Applications in R". But after input from this article and ...
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Interpreting nominal_test to relax proportional odds assumption on specific variables using CLM from ordinal package R

I've tried and searched but am not finding much. Not sure if this is for stack overflow or for cross-validated. I'm trying to use CLM from the ordinal package to analyze some data. I understand that ...
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18 views

Statistically Analyzing Numerical Rating Scale

I'm creating a survey to administer to food inspectors n=30 for an internship project. I want to find their opinions related to food truck and restaurant food poisoning topics and see if their ...
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1answer
32 views

t-test on ordinal data

I have a questionnaire which contains 8 questions on a 4-point Likert scale. This questionnaire is repeated after 8 weeks and a training course about the subject. There are approximately 30 - 35 ...
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23 views

Statistical test for significance on difference in scoring values on ordinal scale between two groups

Statistical test for significance of the difference in scoring values on an ordinal scale between two groups. Respondents were asked how worried they are about something on a scale between 1 (least ...