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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Change over time in QOL score

Hoping someone might help point me in the right direction with some questions I had (newby at stats, with 0 experience doing analysis with questionnaire data). Let’s say I have some participants who ...
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Correlation between ordinal variable and continuous variable in R [closed]

I have seen answers to correlation between continuous and ordinal variables in CV questions like this. They recommend using Spearman's rank correlation, which makes sense. However, when I try to ...
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22 views

Compare results of more than two ordinal models with different IVs

I am using the ordinal package to create 4 different ordinal/cumulative link models. The dependent variable is a ranking (1, 2, 3, 4, or 5) and the independent ...
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How to compare before and after responses for a frequency of use question in R?

I'm trying to compare 2 survey questions, before and after an event, where the answer choices are as follows: Less than monthly Less than weekly Once or twice a week On most days More than once a ...
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Understanding threshold coefficients

I am running a model using the ordinal package, where the dependent variable is an opinion score (1, 2, 3, 4 or 5). Right now, I am only using one predictor, which ...
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Ordinal vs. Nominal?

Say I have a dataset of patient information, and some variable X representing labels for degree of a burn, with possible values of X = {1,2,3,4,5}: 1: First-Degree Burn 2: Second-Degree Burn 3: Third-...
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creating a continuous variable from ordinal variables

Could I simply sum up ordinal variables (some 4-,some 7-scale) to create a continuous dummy variable, and include it in a regression model? E.g. ...
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Relationship between ordinal regression with a cloglog link vs. one with a (negative) log-log link and reversed ordered factor

Suppose I have an ordinal variable $Y$ that takes values $K=\{1,\dots,k\}$ (e.g., a Likert scale, or a score from 1 to 10) and predictors $\boldsymbol{X}$. I fit two ordinal regression models ...
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How can I measure the relationship between an independent nominal variable and a dependent ordinal variable?

I have one independent variable that is nominal and a dependent one that is ordinal. I want to study the relationship between these two variables and conclude if there is a relation of dependence. ...
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Danger of choosing multinomial logit instead of ordinal logit

(I feel like if you're active here, you've come across my problem before because I've been asking a lot...) I want to run a regression, in the area of credit risk in loans, to predict the outcome of a ...
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Testing proportional odds

I want to test the proportional odds assumption to run an ordinal logit. I saw some answers by Frank Harrell before and he said a method to test this is to run binary regressions and then compare ...
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Ordinal Feature Encoding (Linear or Nonlinear?)

In most ordinal features, it seem that the scaling is linear. E.g. [1, 2, 3, 4] with higher score representing larger effect on the target variables But is it ...
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Type of correlation between binary and ordinal variable [duplicate]

I have two variables. The first variable is binary (yes or no) and measures if a person is happy or not. The second variable consists of 5 integers from 1 to 5 and measures if an emotion is positive ...
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Using Ordinal (Star Rating) variables to predict outcomes in Log lin regressions + Taking Median significant coefficients of multiple regressions

Framing the regression I am attempting to analyze the effects of several variables on clicks for Google My Business listings. Currently I'm using a Log-Lin regression model to predict the % increase ...
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Which nonparametric measure of the strength and direction of association to use when there isn't a monotonic relationship?

Which nonparametric measure of the strength and direction of association that exists between two variables measured on an ordinal scale should I use when there isn't a monotonic relationship?
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Plotting probabilities from firth's logistic regression with ordinal predictor in R

I have fit a model using firth's logistic regression. library(logistf) Model <- logistf(a~b, data = data) Where b is an ordinal variable with 3 levels. ...
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Imputing missing values for linear regression model, using linear regression

I scraped a real estate website and would like to impute missing data on total area (about 40% missing) using linear regression. I achieve the best results using price, number of rooms, bedrooms, ...
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How should I interpret the median and the interquartile range?

I have a 7 point Liker Scale, ranging from 1=Strongly disagree to 7=Strongly Agree that has the purpose to measure if the respondents recognize the logo of a brand. I estimated the median and the ...
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How to prove variable is ordinal

I want to run a model that determines the probability of self curing for loan customers who entered arrears. The thing is that when a customer enters arrears there are 3 ways he could go: -not cure -...
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How do I interpret model fit for ordinal regression when AICc and likelihood ratio test conflict?

I'm working with 4 nested models using ordinal regression (same sample, n=344, and dependent variable across models). The -2LL for each successive model increases and becomes statistically significant....
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If 'test that all slopes are zero' is non-significant, do levels of IVs need to be checked?

I've run a univariate ordinal regression in Minitab and my 'test that all scopes are zero' value is non-significant at my chosen alpha (p=0.141). According to the Minitab guide, this value represents &...
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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 ...
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How to interpret insignificant intercept in logistic regression with orthogonal polynomial encoding

I have conducted a logistic regression. Model <- logistf(A ~ C, family ="binomial"(link = "logit"), data=Data) The dependent variable is ...
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Upper and lower limit for number of categories in ordinal data

I want to categorize a variable on ordinal scale and give them values of 0,1,2,3... etc. Are there any upper and lower limits for number of categories for it to be considered ordinal data. I want to ...
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160 views

Data With Ordinal Responses: Calculate ICC & Assess Model Fit

I have a data set of animal responses with repeated measures. The responses are on a 9-point scale. Here, I present an example data set that is very similar to mine: ...
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Analysis of contingency table with ordinal outcome?

What statistical test do I apply in following 2 situations: ...
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Testing multi collinearity of ordinal variables in R

I want to test if there is multi collinearity in my dataset. This is made up of multiple ordinal independent variables. Am I correct that this should be done as shown below ...
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Composite Variables and Levels of Measurement

I have six worry items (worrying about economy, health, etc. and 1-Not worried, 2-Somewhat worried, 3-Very worried) and I want to create a composite variable to see if I can use all worries in a ...
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Interpreting coefficients of ordinal independent variables in logistic regression in R

I have conducted a logistic regression in R ...
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Odd-logs ratio is too large for linear term?

I have the following glm: ...
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1answer
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VIF scores for ordinal independent variables

I suspected there was a high degree of multicollinearity in the independent variables of my data. Each of these variables is ordinal. The original model is ...
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How does one interpret results from an ordinal regression analysis in SPSS?

Let's say I perform an ordinal regression analysis and I use 15 predictor variables of which 5 have turned out to be significant but each predictor has different levels as I have used ordinal ...
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1answer
66 views

Correlation between scale and ordinal variables?

I am currently writing my thesis, and one of my research questions involves testing a correlation between two variables from my questionnaire. One of the variables is a number between 1.0 and 5.0, ...
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Choosing between Ordinal logistic Regression and Multiple linear regression

I have data in which the response variable (attitudes towards tourism) is scaled in nature ranging from -10 to +10 (calculated from the summation of scores of a few questions related to tourism). The ...
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Rms::orm - weighting data?

I am interested in using the rms::orm function in R to model a continuous ordinal outcome in a complex survey design (see https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5675816/). Since the data is from ...
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Testing multi-collinearity of ordinal independent variables in R

I am trying to conduct an ordinal logistic regression, but I first want to test if I fulfill the assumption of no multicollinearity. All of my 8 independent variables are ordinal with up to 5 levels. ...
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R: Can I make a regression model (or something similar) with likert scale data? [duplicate]

I’m currently analyzing a data set from a customer satisfaction survey. Customers have indicated their satisfaction with certain attributes on a five-point Likert scale. Additionally, they have also ...
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suggestion for ordinal logistic regression or CLMM

I want to use a ordinal logistic regression that works with 2 random variables. I know that POLR and CLM don't work for multilevel regression and I am trying CLMM. I am evaluating how much the method ...
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Optimal weights to maximize similarity of two ordinal rankings

I want to find the optimal weights so that the pairwise Euclidean distances in my training dataset are closest possible to the differences in ordinal rankings. In other words, I want to train the ...
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37 views

Which is the optimal method to check association between continuous and binary data?

I have a data frame mod with the following information. The row names are Samples and column names are ...
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54 views

Non-parametric Correlation with a Right-Skewed Likert-type Ordinal Variable

This is my first question on the site, so please feel free to advise if I'm doing anything wrong/give any tips that might make my future questions more palatable to the community. Many thanks! I am ...
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Do I need to train my model when using the (ordinal) logistic regression for hypothesis testing?

I am currently conducting statistical tests that include two independent variables and 5 dependent variables (ranging from categorical to interval variables). My samples have more than 1000 entries ...
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Problems with interpretation of RStudio ordinal regression output

I'm new to the community (and to RStudio usage in general). I have some doubts interpreting the results of an ordinal regression analysis I've implemented in RStudio. I have 2 dependent ordinal ...
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Is there a test for the most influential features, which produces results on an ordinal scale?

I have a few datasets of 200 continuous features, about 6-8 samples divided between two known groups. For each of those datasets, I want to select the features that contribute most to this division. ...
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Categorizing training data for ordinal regression

I previously asked a question about categorizing sentiment (level of happiness) in sentences using Machine Learning and some user proposed using an ordinal regression to solve this problem. In the ...
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30 views

Relationship between ordinal and continous variables

How can I find out if there is a relationship between these two variables: x1 (ordinal) and x2 (continuous), this is a portion of my data: x1 x2 severo 0,688 severo 0,879 leve 0,75 leve 0,775 ...
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Ordinal Logistic Regression in SPSS

This is my first time conducting an ordinal logistic regression on SPSS, and I want to check for the assumptions. Assumption 1: My dependent variable is indeed ordinal. My variable is anxiety symptom ...
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Relative impacts of interval and categorical factors on ordinal/interval DVs in an emotion regulation study?

For a study on emotion regulation, we used the experience sampling method via a cellphone app to collect 4 survey responses per day from participants over 2 weeks. While some of our hypotheses are ...
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Regression for the dependent variable values given as intervals

What are optimal methods to find regression coefficients (I need many variable linear regression) when the information about values of the dependent variable is given in form of intervals? ...
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Interpetation of Nominal Regression

I am studying regression analysis at the moment and encountered some doubts when I try to interpret the results in nominal regression. I have a response variable with 3 levels (1,2,3), the first level ...

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