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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Reasons for failure of convergence in multiple imputation in wide format of (longitudinally) repeated Likert items

Our group is working on a dataset of approximately 1000 patients with 10 complete variables at the time of an acute disease, who subsequently completed a questionnaire of 5 Likert items (questions ...
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How should I analyze data that is paired and also repeatedly measured?

I have data collected from the same subjects (n=10) over 11 days, with measurements taken under two conditions each day: immediately after training(D0) and 30 minutes after training(D30). The data is ...
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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 ...
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Unreasonable estimate in mixed models with interaction terms

In a LMM with interaction effect, the estimate seems unreasonable because the Score suppose to range from 0-12. ...
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Statistical approach to explain variance in different types of soil health data (organic material decomp vs lab based measures)

Seeking feedback and guidance on the statistical approach to explain variance in soil health data for a scientific paper on the sensitivity of organic material (teabag) decomposition to commonly used ...
EBH's user avatar
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PCA with correlated variables

I'm analyzing data from around 10 survey questions focused on regulatory issues. I've noticed these questions are highly correlated (of course since they are all about regulation), and I'm concerned ...
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Likert scale study - ordinal regression model

My linguistics rating experiment contains 36 stimuli in total for rating. There are 6 themes (e.g. doctor, farm, etc), and each theme has 3 conditions (good, bad, mixed), and each condition has 2 ...
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What does the iteration limit warning message I get when using ordinal::clmm mean? [closed]

I am running the following CLMM model in R Studio (version 4.3.1): incr_clmm <- clmm(OLR_Response ~ Distance + Species + (1|Bird_ID), data=olr_increm) I am able to run it but I get the following ...
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Ordinal logistic regression with small cells

I have a data of around 100 observation with two dependent variables--one is ordered attitude (values encoded as '1','2', and '3') and the other is binary ...
ksing's user avatar
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Compare the consistensy of two ordinal variables [duplicate]

I have have a dataset of about 500k subjects, each subject have 2 measures of the same thing: measures A: in which 0 is the worst case and 1 is the best case. measures B: in witch ordinal variable ...
data student's user avatar
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Effect Size of CLMM

I am conducting an omnibus analysis of a CLMM model from the ordinal package. I passed the CLMM model to the function ...
Tavaro Evanis's user avatar
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Number of levels for ordinal DV, variance, and statistical significance

I am interested in how closely a person places themselves to a certain situation in the responses they give. The responses are coded, and I create a score, with the lowest value indicating the person ...
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Ordinal independent variable (IV) and continuous dependent variable (DV)

My independent variable is measured on a likert scale (1–5). My moderator is dichonomous (yes or no) I want to use SPSS process macro to measure the moderation relationship. Should I use a dependent ...
breeks's user avatar
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Clustering an ordinal variable with unequal interval size

I am interested in clustering a mixed type dataset and therefore I have found the package "clustMixType" in R Link to package description. I want to cluster numerical, categorical and ...
ExchangedVisual111's user avatar
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Categorizing responses on a likert-type scale for use in ordinal regression

I have a dataset mostly consisting of single items and I have been analyzing them with ordinal regression and other ordinal analyses. However, I also have a likert-type scale and in theory I would ...
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Are agreement statistics suitable for comparing ratings produced by the same rater on different experiments?

I am interested in comparing the results of a single statistical test applied separately to two different datasets. My test produces lists of p-values and estimated effect sizes for the features of a ...
jay's user avatar
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R Package for Ordinal Data Modeling with Random Effects, but with Relaxation of Proportional Odds Assumption [closed]

Seeking an R package capable of modeling ordinal data including random effects (like clmm) while relaxing the proportional odds assumption. Although clmm handles random effects, it does not allow ...
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Which test should be used for an ordinal dependent variable with pretest-posttest and two factors?

Consider a pretest-posttest design, where the dependent variable (y) is measured by 3 ordinal values 1,2,3. There are also two factors: One factor (say A) consists of a control and an experimental ...
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Testing for Association in RxC Contingency Tables with 1 Ordinal Variable

I'm currently trying to analyze data similar to the following example: Suppose I have count data from a survey of US States (~10) relating to their population's feelings about how their current state ...
Rubberduckquack'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 ...
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Does sample size affect whether to have a variable as categorical or continuous? [duplicate]

I have a dataset with around 5000 observations. I have an independent variable 'passed' which is number of tests passed. This variable ranges from 0 to 6, but only has 9 observations in category 6. I'...
minus123's user avatar
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Which test is appropriate when testing between nested groups

Imagine that we want to analyze the outcome of a variable $Y$. The variable $Y$ represents the number of test passed, going from 1 to 7. I want to know if $Y$ varies among different groups, for ...
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How do I estimate and plot model predicted marginal means from a GEE model fitted using the multgee package in R?

I am trying to obtain model-predicted means and CI's from a GEE model fitted with the ordLORgee function in the Multgee package in R. I was able to fit the model and estimate the predicted means over ...
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Statistical analysis of academic grades

Let's say I have 2 sets of grades from students. Maybe I'm looking at gender differences or some such but the disaggregating factor could be continuous or multinomial. Group A: 3 D's, 5 C's, 13 B's ...
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Can logistic regression predictor variables be nominal?

Can logistic regression predictor variables be nominal (like the charlson comorbidity index which ranges from 0-6)?
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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
3 votes
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135 views

Ordinal vs multinominal classification in XGboost: differences in one-hot encoding

I have followed this post and tried to see if there will be any difference in predicted probabilities if I use different one-hot encoding in XGboost. This is my code with some dummy data, which is ...
deblue's user avatar
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How can I handle 'Unknown" category in ordinal data analysis?

I have some environmental monitoring data that I've collected and I'd like to compare the condition plots that have more resources designed to improve their condition "managed" vs. those ...
Lannie84's user avatar
3 votes
1 answer
48 views

How to measure consistency of teacher grading?

I would like to determine how consistent teacher grades are for a given item, both for that teacher and across all teachers. E.g., does teacher A consistently score item 1 as a 1,2,3, or 4; and do all ...
Anthony Schmidt's user avatar
1 vote
1 answer
43 views

Why do we require ordinality of the response with respect to the predictors in the proportional odds model

I've recently been reading about ordinal regression with a focus on the proportional odds model in the book regression modelling strategies. The author states "A basic assumption of all commonly ...
Albert Nilsson's user avatar
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197 views

Binary logistic regression results interpretation when one IV is ordinal [closed]

I don't know how to interpret the ordinal variable 'Stress' in my binary logistic regression analysis.'Stress' was measured on a 10 point scale where 1 is 'Least stressed' and 10 is 'Most stressed'. ...
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Sample size calculator for Ordinal Data

For my experiment, I am comparing the results of melanoma grades( ordinal data, such as Stage 1, 2, 3, 4) as obtained from my proposed noninvasive imaging modality to that obtained from the gold ...
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Mixed Model Ordinal Regression - number of questions don't affect power?

I'm doing a study where two groups of individuals will answer a number of questions. Let's call the amount of individuals in each group Ni and the amount of questions Nq. No individual will be in ...
Ylor's user avatar
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Significance in 3x3 crosstab including low values and high N

I am conducting a study of 126 organizations. Each organization has one or more registered domain names. Each domain name needs to conform with specific cybersecurity requirements. Some ...
possum's user avatar
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How to interpret multinomial logistic regression results in r with ordered independent variable?

If there is a independent variable X that is a ordered factor (low, medium, high) - high being the base class, the results of the multinomial regression for each class in X should be interpreted as ...
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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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Would ordinal logistic regression be appropriate in this case?

I have 2 independent variables with 2 categories each: 'gender' (male, female) and 'relationship status' (married, single), and one DV: 'emotional impact' measured on a 10 point scale ranging from 1 (...
lisaarthur's user avatar
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Statistical test for Likert scale perceptions of application of a HR development model to dental restorative specialty training

I'd be most grateful for some advice about suitable statistical testing for a research project. It's a survey questionnaire to restorative specialty trainees and alumni trainees exploring the ...
Temi Ajimoko's user avatar
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2 answers
86 views

Repeated measures for ordinal categorical variable analysis in r

I have some environmental monitoring data that I've collected over 4 different years. I'd like to analyses the trend in the condition over this time period. 2010 2013 2017 2022 Very good 37 34 8 29 ...
Lannie84's user avatar
2 votes
1 answer
157 views

interpretation of trends in ordinal regression with emmeans

I'm using emmeans to extract trends from an interaction of two factors, one categorical (temp) and one continuous (...
locus's user avatar
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Extract id-specific coefficients of a multilevel ordinal regression for the different combination of factor levels

I ran this multilevel ordinal regression using clmm from the ordinal package ...
locus's user avatar
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1 answer
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Predicting CSAT scores using GAM

I am trying to fit a GAM model to predict CSAT (customer satisfaction scores on a scale of 0 to 10) which I believe are ordinal in nature. I used a categorical predictor (type) and two numeric ...
Math Lover's user avatar
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23 views

How to test hypothesis for ordinal dependent variable and categorical independent variable

I want to test the following hypothesis: H1: Traditional business owners protect customers' personal information better than online business owners. Here, indepedent variable is business (2 groups: ...
Aydan Pakta's user avatar
3 votes
1 answer
30 views

Deducing from Ordinal to Binary Data

Assume I have two rank vectors $r^A, r^B$ of size $p$ - that is, each of them is some permutation of $1,...,p$. For the sake of simplicity, assume that $p$ is odd. Now, I take these vectors and recode ...
Spätzle's user avatar
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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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When to use factor and ordinal factor?

When modeling a regression (glm.nb) one of my predictors is the number of sides of a road that has forest next to the road. This means my predictor can take one of three values. 0 = no forest on ...
Adina's user avatar
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Which model for highly skewed data

The response variable in the dataset is highly skewed with a "ceiling effect". The errors of a fitted regression model, will thus also be skewed. I tried to fit a regression but as expected ...
Simone's user avatar
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1 vote
1 answer
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Group selection for Wilcoxon Rank-Sum Test

Are there any issues with only including a subset of the population in the paired samples? For instance let's say that we are comparing pain scores (ordinal values 0,1,2,3,4,5) before and after ...
Minnie's user avatar
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3 votes
2 answers
143 views

Linear Mixed Models for randomized clinical trial

I am working on analyzing data from a randomized clinical trial which is studying the effect of a mesh type on patient-reported pain. The 2 study arms are the 2 different meshes (biologic and ...
S. Patel's user avatar
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1 answer
57 views

Mann-Whitney U Test - Interpretation

I have conducted a survey and would like to assess whether men compared to women differ in their attitudes. At a glance, the means differ quite much, which is why I wanted to prove it statistically. ...
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