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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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Can I do a meta-analysis of categorical outcomes by assigning them to ordinal values in single-arm studies?

I have a collection of case reports and single arm cohort studies (without control groups) that describe the clinical response of patients treated with a particular drug. The response is reported ...
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Cut-off based on an ordinal variable in unbalanced panel data

I am currently looking for an appropriate statistical analysis for my research questions. I have a continuous variable (score) and an ordinal variable (test). Score is quadratically related to Test, i....
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Why is the ordinal logit also called POLR?

The ordinal logit is often referred to as proportional odds logistic regression (POLR, e.g. in R). I am wondering where the term proportional is coming from? It is clear to me that the logit model is ...
Marlon Brando's user avatar
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How to interpret ordinal data in logistic regression, both negative coefficients

I have a logistic regression model that has a bunch of variables in it, including a variable of rurality that has three levels (urban, rural 1, and rural 2). That is an ordinal variable. My model has ...
Scott's user avatar
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What is the statistical model for an Ordinal outcome variable predicted with binary, ordinal, continuous and nominal predictors?

I have paired survey data of healthcare workers (HCWs) taken pre- and post-COVID-19 pandemic. The purpose is twofold: (1) To determine HCW Job Satisfaction (JS) and HCW Intention-to-Leave (ITL) pre-...
David Musoke's user avatar
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Position in hierarchy as ordinal predictor in linear regression

I'm writing my thesis and I'm unsure about the analysis procedure. One of the hypotheses is: "A higher position of the deceased in the attachment hierarchy of the bereaved predicts a higher level ...
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Understanding linear regression output for ordinal independent variable

I'm running a linear regression on JASP with an ordinal independent variable (education level with levels 1, 2, 3) and I am wondering what is meant when the coefficient table includes different ...
elangston's user avatar
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Which Analysis to Use for 2 Likert Scale Questionnaire Groups With Multiple Responses

I have a data set that I acquired through running a questionnaire. The questionnaire consisted of participants having to rate 80 different phrases using a 5-point Likert scale; ranging from Strongly ...
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Calculating Sample Size for Cumulative Link Mixed Model (CLMM)

I am going to collect data in which each participant answers to 3 questions to 18 vignettes (each vignette has 3 questions), each question with likert scales 1-5. The dependent variables (questions) ...
Simón Schulz Montecinos's user avatar
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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 ...
torwart's user avatar
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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 ...
benrilzm's user avatar
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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 ...
Brian Lookabaugh's user avatar
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38 views

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. ...
hey0god's user avatar
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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 ...
chunguc1004's user avatar
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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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35 views

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 ...
Conrad Baldner's user avatar
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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 ...
Bettina's user avatar
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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 ...
M. Er's user avatar
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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
2 votes
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41 views

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 ...
JWilliman's user avatar
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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 ...
Sharon's user avatar
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1 answer
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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 ...
Leonhard Euler's user avatar
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1 answer
52 views

Can logistic regression predictor variables be nominal?

Can logistic regression predictor variables be nominal (like the charlson comorbidity index which ranges from 0-6)?
learning_890's user avatar
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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
1 answer
187 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
-2 votes
1 answer
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'. ...
lisaarthur's user avatar
1 vote
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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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1 vote
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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 ...
Deb's user avatar
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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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1 vote
1 answer
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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
0 votes
2 answers
103 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
182 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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1 vote
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54 views

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 ...
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