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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Ordinal regression / 2-step model
I unfortunately have to be somewhat ambiguous with details but hopefully I can provide enough general information to ask a relevant question with enough content that readers might be able to guide me ...
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Dimension reduction to 1 ranked dimension
I have a dataset that contains a comprehensive questionnaire to 13,000 individuals containing about 40 questions regarding disability e.g., can I shower independently? Can I do groceries alone? Etc
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Percentage changes versus absolute changes when comparing rankings
We are analyzing the ranking changes of countries based on an economic index to determine whether these variations are significant. For example, Country A moves from rank 5 to rank 3, representing a ...
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How to perform correlation & regression analysis using both 5-point likert scale and "Yes/No/Maybe" questionnaire?
I have collected a data for my thesis to analyze the degree of awareness among the individual taxpayers. For that purpose, i have distributed the questionnaire that contains questions for IV (audit, ...
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Can I retain the ordinal nature of a predictor while answering a question about it that is inherently binary?
As part of a collaboration, I've been asked to fit a model with a continuous response $Y$ and an ordinal predictor $X$ (levels 1 to 5). The dataset owner is after an answer that is inherently binary: ...
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Alternative to mixed-effect ordinal logistic regression for small sample sizes with missing categories
I'm struggling to work out how analyse directions of animal body temperature responses reported among papers in a systematic review.
The responses are coded relative to baseline as ...
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Where is there is only set of odds ratio in ordinal logistic regression?
I am running an ordinal logit regression with health status(poor, fair, good, very good, excellent) as the outcome. I understand the difference between ordinal and multinomial outcomes, and read many ...
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Multiple ordinal independent variables, correlation control and clustering
I conducted a survey with 25 5 point questions that resulted in a Likert scale Score variable, while also collecting several ordinal demographic variables: years employment, tasks per year, salary, ...
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Analyses for a vocabulary profiler data
I am writing a paper which uses data from vocabulary profiler (a tool that tokenizes and analyzes a text, output is something like "This text consists of 20% of Level X vocabulary, 20% of Level Y ...
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Multivariable analysis for an ordinal dependent variable
I am investigating the factors associated with self-perception of oral health. My dependent variable is self-perception of oral health, which is an ordinal variable measured on a 5-point Likert scale. ...
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Can descriptive statistics of three ordered groups be converted into a correlation?
I know that a one-way ANOVA with two groups can be converted into a Standardized Mean Difference (SMD), that can, in turn, be converted into a Pearson correlation. Anyway, with two group means and ...
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How to create a rank from ranks?
I have calculated ranks for each row based on a condition on each column. Now I have,
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Negative average marginal effect for positive estimate in ordinal logistic regression
I'm running an ordinal logistic regression with eight indepdent variables and the dependent variable has five categories (1 = Not at all and 5 = To a great extent). To interpret the coefficient ...
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Ordinal outcome, repeat measures, attrition, appropriate model?
The researchers are measuring a 5-point ordinal outcome on animals subject to treatment combinations (k = 4). This is being measured at three time points. Between each time point, some animals have ...
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What hypothesis testing method should I use for comparing binned latency counts
I am trying to select a proper hypothesis testing method for testing if the latency is higher in a group of servers is higher than another group. However, all what I have is just counts for a number ...
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Appropriate datatype for cyclical periods (like days of the week and seasons) [duplicate]
I am trying to figure out the best way to encode cyclical time indicators like days of the week and seasons. (Other examples would be day of the month and week of the year, but I'll try to keep this ...
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Multiple logistic regression with ordinal predictors
I'm looking for resources on general guidance for how to perform and interpret multiple logistic regression using SPSS, with ordinal predictors. I have 2 ordinal predictor variable. Each ordinal ...
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Logistic Regression - categorical predictors [duplicate]
I'm looking for resources on general guidance for how to perform and interpret multiple logistic regression using SPSS, using categorial predictors. I have 2 categorical predictor variable. Each ...
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What is the probability of condition rating 5 following a given condition rating?
I have an asset management system in which assets are given a condition rating from 1 (good) to 5 (bad). Assets are inspected and given a rating every year; new assets start with condition rating 1 ...
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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 ...
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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 ...
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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-...
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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 ...
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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) ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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'...
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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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