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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AIC in Ordinal Logistic Regression Modelling

Can AIC be used to compare Unweighted and Weighted OLR Models?
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Consensus Measurement on Ranked Data

I have the results of a ranked dataset from a survey monkey questionnaire: Option A: 8 times place 1; 1 time place 2 Option B: 1 time place 1; 7 times place 2 Each ...
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SEM with random effect and ordinal response?

I am looking for the appropriate method to build a Structural Equation Model that allows for both an ordinal response and a random effect. ...
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Plotting Two-way Repeated Ordinal Regression

I've done a Two-way Repeated Ordinal Regression with the clmm function and I would like to plot my results. here is my data set: ID Likert Week Treatment 1 2 13 0 2 1 13 0 3 4 13 0 .. .. .. .. ...
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Negative values for Krippendorff 's alpha

I am trying to assess the inter-rater reliability for 5 raters about 36 questions. My variables are ordinal. Am I doing something wrong? Or what is the meaning of negative values?
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Understanding/interpreting regression

Apologies if this is a very stupid question; I am doing more statistical analysis than I've ever previously done and it is taking me beyond what I'm comfortable interpreting without seeking input from ...
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What analysis is acceptable to assess reliability of a questionnarie composed for nominal and ordinal items?

I need to asses the reliability of a questionnarie composed by a series of n items that respond to n characteristics. In each item the surveyed idividuals have to nominate three individuals and assign ...
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What method to use to analyzescale response?

I have a response variable called GOSE (glasgow outcome scale extended), which measures the patients functional outcome. It has 8 levels, ranging from 1 to 8. Detail meanings are: 1 Death, 2 ...
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Process ordinal data as a function of time in R

I try to treat ordinal data as a function of time in order to analyze if there is a significant difference between two different modalities. Here is my data set num Note Semaine Companion mummies ...
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Can we perform ordinal regression on n<30 using bootstrapping?

The data collected aims to analyze an institute's performance and they have an only a small number of employees working, I want to establish a model using ordinal regression can it be possible?
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What are the assumptions of the Cochran-Armitage test for trend?

I have actually three questions about the Cochran-Armitage test for trend, which tests for an association between a binary variable and an ordinal one: Is it valid if the expected cell count is low (&...
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Variable selection in ordered ordinal model - transform variables prior?

I am running a series of proportional odds ordinal models. I have a set of predictors that correlate. I aim to find out how effect sizes and significance change after introducing control and ...
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Multilevel Structural Equation Model with ordinal data at each level and latent moderated predictors

I am trying to build a three-level (possibly four-level) structural equation model using large-scale student survey data, with response items from students, teachers and school admins, used to predict ...
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Ordinal Regression: Significant p-values and no colinearity, but very high misclassification error

I cannot show the R code, since it is about a confidential research project. I hope someone can still help me make sense of this. I conducted ordinal logistic regression with a few ordinal, discrete, ...
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Is this a meaningful method to determine spread around mean?

I have student ratings of 123 schools across the US. They represent 100% of this type of school across the US. The ratings are on the scale Poor, Fair, Good, and Superb, and I have the number and ...
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Is it appropriate to use continuous regression for dependent variable that consists of equidistant categorical responses?

I have survey data where the dependent (y) variable was collected as a percent value between 0% and 100% at 10% intervals. In other words, respondent could choose one of 0%, 10%, 20%, ..., 90%, 100%. ...
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Correlation test between the summed up scores of a multi-item Likert Scale and the summed up scores of a repeated single-item Likert Scale

For my Master’s Thesis, I used a 10 items-Likert Scale of 6 points to measure attitude (1 = strongly disagree, 6 = strongly agree). I also measured three other variables concerning the manipulation (...
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Logistic regression gives very confusing results in SPSS

While analyzing the data for my bachelor thesis, I got some results that I just don't know how to make sense of. I've been trying to predict a binary variable (yes/no choice in a questionnaire) from a ...
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Combining ordinal variables and what statistical test to use

I have heard a lot of different opinions on this matter, which led to some confusion on my side. I have ordinal data that was captured in a survey with a 5-point Likert scale (Strongly disagree, ...
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Caret: ordinal models with VGAM library

I started to look into the students performance dataset: https://archive.ics.uci.edu/ml/datasets/Higher+Education+Students+Performance+Evaluation+Dataset I would like to train two models with caret ...
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Would the Mantel-Haenszel test for linear trend be appropriate for this data/hypothesis?

I am testing whether or not there is an association between the parents education level and the pupils grades in the oral exam in social studies in the last year of danish primary school from the ...
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Can I convert a classification problem with an ordinal dependent variable in a regression problem?

It looks interesting to me to know about the variables related to the students performance, so I started to look into the following dataset: https://archive.ics.uci.edu/ml/datasets/Higher+Education+...
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How to convert percentage values from 7 point scale to 5 point scale?

Suppose in one year I had a survey with 7-point scale and the values are like ...
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What is this one-hot-like encoding of ordinal variables called and is it feasible?

Common understanding seems to be that when we're doing machine learning (classification or regression) using linear models, there are basically two ways to encode ordinal variables: Ordinal scale: 1, ...
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Multivariate multilevel ordinal regression

I am looking to estimate a multivariate multilevel ordinal regression model (preferably via the ordered logit) in $R$ using non-bayesian methods. Is anyone aware of a package that does this? If not, I ...
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Is there a fundamental mathematical reason that ordered factors are represented as orthogonal polynomials in linear regression?

At least for R, Chambers/Hastie write in their book "Statistical Models in S" in chapter 2.3.2 "Coding Factors by Contrasts": Ordered factors are coded so that individual ...
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Sample size for interaction term in HLM

I am running a hierarchical ordinal regression model with 41 subjects evaluated at 5-time points each. Besides a single level-1 time-varying covariate, I only have two other explanatory variables - ...
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What is the advantage of a scoring scale with many levels?

In my research I have different ordinal variables with 3 levels of scores. Each score represents the severity of a condition. In other studies I see that the same variables are scored on a scale with ...
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Ordinal logistic regression with interaction

I have a dependent variable donation intention on a 7-point likert scale(1=totally disagree, 7= totally agree), an independent variable which is a dummy (0= price is not framed, 1 = price is framed) ...
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Ordinal Regression - Using a Continuous Attribute of 3 Categories as a Covariate as a Proxy for the Categories

I'm conducting an ordinal regression with SPSS 28. I have 3 subsets in my data (n=87 total, mostly equally distributed between the subsets) that represent 3 different scenarios where study ...
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How to consider categorial ordinal variable?

First, I would like to apologize because I'm a beginner in statistics and I'm surely confused on some points. I would like to explain a continuous quantitative variable, which is a species activity, ...
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Can I compare the size of the regression coefficients of an ordinal and categorical variable?

I am running an OLS regression that includes variables such as nationalism, social class, educational qualification, age, etc. as predictors of social capital (dependent variable). I want to compare ...
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Ordinal Regression with Categorical Predictors in R (Proportional Odds Logistic Regression)

My independent variable is Party Identification which I think will be best to create dummy variables for (Conservative, Labour) and then Lib Dem would be the intercept if I'm not mistaken. The ...
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Suppose I have 100 integers and I sample 10 without repetition. What is the expected rank of the lowest out of 10 samples?

Suppose I have 100 integers and I sample 10 without replacement. What is the expected rank of the lowest out of 10 samples? i.e. my lowest integer in the 10-sample is kth smallest out of 100. what is ...
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Interpreting Ordinal Logistic Regression in R

I am doing an ‘Ordinal Logistic Regression’ in R but I am struggling to interpret the output. When looking at regression with continuous values I can understand the values and what they represent but ...
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Correlation measure for ordinal values (values are ratings of different items)

I'm looking for the correct correlation metric for following problem: Scale is from: 0-3 (0,1,2,3) There are n items to rate by k raters (n and k are both small). I want to compare their ratings to ...
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Jonckheere-Terpstra test for DEPENDENT samples with an ordered alternative hypothesis

I have a question about the tests that consider an a priori ordering (the alternative hypothesis is ordered - testing the hypothesis u1 ≤ u2 ≤ ... ≤ un). We want to compare a variable in the same ...
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Categorical and ordinal variables and one dependent discrete variable

Í have a dataset with two categorical variables: let's say "city type" (categorical) and "living crampedness" (ordinal), and one discrete dependent variable ("house square ...
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Quantifying agreement of ordinally ranked sequences

I've been using a very particular set of closely related metrics to quantify how well two ranked sequences agree with one another. I'd like to know if this way of thinking is well-known and if any of ...
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How should I statistically analyze pre and post test Likert scale data?

So I used a survey, where I had the participants answer 4 Likert-scale questions both before and after a presentation. Ended up with 7 participants total. Since I want to compare their responses pre ...
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If we numerically code the categories of an ordinal variable, then can we determine its mean as in Likert scale?

Can anyone clear my doubts about 2 things. Doubt1)A dataset of Ordinal type having 2 modes, then does it mean that such dataset have 2 central locations ? Doubt2)As We know that we can not determine ...
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Converting a continuous output to risk score category and selecting the optimal number of bins

I am trying to convert a continuous measurement of a patient’s bone mineral density to a risk score which I will display to the user with the corresponding observed prevalence (observed probability of ...
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How to interpret threshold value not intersecting with smooth in ordered GAM?

My model consists of an ordered factor with four levels as the response variable and a continuous predictor. mod <- gam(lev ~ s(pred), family = ocat(R = 4)) The ...
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what association test is the best for categorical (ordinal) variables

I have two variables: Variable A (dichotomous): positive/negative Variable B (ordinal, three level): disease/ maybe disease / no disease. I want to test the association between these two variable, a ...
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Appropriate standardized solution for a CFA of one latent variable, and multiple ordinal indicators

I am currently working on a CFA in OpenMx, where a standardized latent variable is estimated by multiple ordinal indicators with means and variances restricted to 0 and 1, respectively. According to ...
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Should we use PCA or Categorical PCA or Multiple Response Analysis if categorical variable is ordinal numeric?

The dataset I use includes several categorical variables where values are ordinal numeric. For example, I have a variable X1 of which possible values are as follows: Value Description of value 1 Bad ...
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Interpretion natural spline function ov IV in ordinal regression

I know that this question was already posed several times but I am not sure If I really got the interpretation for spline functions right. I have an ordered model that is regressed on an index ranging ...
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When to convert an ordinal variable to a binary variable?

I have seen some people convert their ordinal variable to a binary one, especially in the public opinion literature. For instance, when there is a four-scale question with responses including "...
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2 stages mediation ordinal independent variables and yes/no dependant variable

i want to test if low work efficiency during lockdown has an impact on sleeping pills consumption, my dependent variable is the consumption of sleeping pills ( yes/no question) , the independent ...
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Testing the significance of interaction terms with multcomp::glht()

I am estimating an ordinal logistic regression under the assumption of proportional odds with the ordinal::clm() function. As a RE see this model from the "housing" dataset (...
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