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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Anything to watch out for in my Ordinal Regression model?

I'm trying to run data with 2 predictors. First predictor is dichotomous (treat or no treatment) and 2nd predictor is an ordinal score that goes 1 to 6 with no decimals in between (only whole numbers)....
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30 views

Ordinal Logistic Regression in R - Understanding coefficients

I am creating an OLR model using R with the polr function in the MASS package. All of my predictors are also ordinal data, all of the data is the integers from 1 to 5 coming from a customer survey. I ...
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19 views

Combination of categorical/binary variables vs an ordinal variable [closed]

I am conducting an analysis for my dissertation on the topic of how usage of technologies is connected to motivation in sport. My data contains respondent ID, age, gender, a number of answers on a ...
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38 views

Visualising ranked data with distribution and mean

I would like to visualise ordinal data with ranks (1st-4th) in different categories however, I'm unsure how to best go about it. I'd like to be able to see the distribution and the mean ranking for ...
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Multi level logistic regression with ordinal level dependent and independent variables

I am currently trying to run a multi level logistic regression model and struggling to identify the best way forward using STATA.Details below: Independent variable: ordinal with 5 levels Dependant ...
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36 views

Ordinal longitudinal data with unequal number of responses

I have a dataset that comprises of about 900 subjects. There are baseline independent variables which can be continuous or not (e.g. sex, age etc.). The "response" variable is a series of measurements ...
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26 views

Should I treat variables representing level of disease risk as ordinal?

I'm working with a study where we have collected the subjects' genotypes for risk factors for a disease. These can be homozygous non-risk (e.g. AA), homozygous risk (e.g. TT) or heterozygous (e.g. AT) ...
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19 views

Binary vs ordinal logistic regresson

I have made my response variable as both a binary and a ordinal variable and performed binary logistic regression respective ordinal logistic regression. If I want to test which model fits the data ...
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25 views

Is my interpretation of the results of my ordered logistic regression right?

I am currently writing my master's thesis. To analyse the results of my survey, I conducted an ordered logistic regression using Stata. My outcome variable is whether someone wants to start a business ...
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29 views

What kind of test of significance can I use on ordinal data?

I have several variables that consist of ordinal categories (i.e. no fruit consumption, 1 portion a day, 2 portions, etc.) and I would like to test whether they differ significantly with respect to a ...
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31 views

Checking if my categorical variables are really unidimensional, ordinal

I have 6 categorical variables that can have the values -1, 0 and +1. The extremes are assigned to a semantic label. During rating, the rater could select either one of the labels (-1, +1) or neither ...
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18 views

Post hoc for ordinal mixed model with multilevel categorical predictor

I have conducted an ordinal mixed model with four predictors; all of which are either ordinal or multilevel categorical. In my model comparison, I've found significant main effects and interaction, ...
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23 views

Should ordinal variable be considered multilevel categorical or continuous in mixed model?

I have an ordinal mixed model with four multilevel predictors (it's for exploration). My response variable is ranking 1-4 and so is one of my predictors. My question is if I should treat this ordinal ...
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34 views

Does “random effect” used here for the clm function (in ordinal package in R) the same as “fixed effect”?

I am trying to understand the the clm function to use it for a mixed effect ordered logistic regression. Referring to the following package In the following data, the variable 'judge' can take 9 ...
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22 views

Can I use Cumulative Logistic Regression in spite of violation of proportional odds assumption?

I have an ordinal outcome variable with the following levels (unlikely, somewhat likely, very likely) that I want to test in an adjusted regression model with about 20 predictor variables (including ...
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1answer
51 views

Test for multiple samples of ordinal data

I have 10 independent samples of ordinal data ranked 1-3. I also have predicted ranks for the same data set. I want to test if the predicted ranking matches the observed ranking at a rate better ...
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39 views

Statistical Analysis of 3 groups(parameterisation of same algorithm) under the same dataset: non-repeated measures or repeated-measures?

I'm analyzing the performance of 3 parameterizations of the same algorithm under the same dataset. This performance is user-evaluated under a single Likert-type item (5-values). Given the ordinal ...
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34 views

Choosing the appropriate test to use when analyzing categorical count data

I am analyzing data that compares responses to various questions across a variety of demographics. I want to see how the count of each response varies by each demographic group. The most basic test to ...
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Can I use item as random factor if not all participants saw the same items?

I'm running an ordinal mixed model on data collected from when my participants ranked 16 photos of people of who they think are most similar to them. Depending on the age of the participant, they ...
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How does R's lm algorithm handle factors [closed]

I thought they use discriminant analysis as discribed e.g. in chapter 4.4. in James et. al. "An Introduction to Statistical Learning with Applications in R". But after input from this article and ...
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Interpreting nominal_test to relax proportional odds assumption on specific variables using CLM from ordinal package R

I've tried and searched but am not finding much. Not sure if this is for stack overflow or for cross-validated. I'm trying to use CLM from the ordinal package to analyze some data. I understand that ...
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15 views

Statistically Analyzing Numerical Rating Scale

I'm creating a survey to administer to food inspectors n=30 for an internship project. I want to find their opinions related to food truck and restaurant food poisoning topics and see if their ...
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1answer
32 views

t-test on ordinal data

I have a questionnaire which contains 8 questions on a 4-point Likert scale. This questionnaire is repeated after 8 weeks and a training course about the subject. There are approximately 30 - 35 ...
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22 views

Statistical test for significance on difference in scoring values on ordinal scale between two groups

Statistical test for significance of the difference in scoring values on an ordinal scale between two groups. Respondents were asked how worried they are about something on a scale between 1 (least ...
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31 views

Do I have numerical data or ordinal data?

I have collected data and I am analyzing data from a game with 20 contestants over 20 games. I am running a regression to try to model the final position of a player in the game. The position of a ...
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Collapsed Categories - Interval or Ordinal Scale

Is it appropriate to treat the following indicator as having an interval scale: "In the last two weeks, how many times have you been late for school: 1. Never (62% of respondents) 2. Once or twice (15%...
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11 views

When to Throw out a Respondent (Likert data)

I have a dataset of Likert-type responses, with a few nonresponses throughout. However, one respondent only answered half of the items (basically stopping halfway through). Should a respondent like ...
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Compare change of ordinal variables between admission and dismission with different levels

I would like to compare difference between admission and dismission fron rehab center of an ordinal variable relative to diagnosis. At admission patients are divided in 3 groups (Emersion, SMC or SV, ...
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31 views

Questionnaire - clustering of ordinal data

I have the following kind of results from a questionnaire. Here, are 4 questions(Q1-Q4) and 7 respondents. The respondents have scored with 3 the most likely event and 0 the least likely. ...
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1answer
24 views

Measuring predictive accuracy of an ordinal outcome when the predictor is continuous

I'm predicting a response measured by a 5-point likert scale from a model that produces continuous predictions of the same variable. For example: ...
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2answers
44 views

Applying TF/IDF to non-text data?

I have a classification problem in which I am supposed to predict the end state of an object based on a set of events it experiences. There are about one thousand possible events and each object is ...
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1answer
52 views

Doubt about Likert scale

I know from a previous question that I can use zero in a Likert scale, e.g., 0, 1, 2, 3. I was wondering, is there any reason I should not use a scale like: 0, 1, 2, 4.
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26 views

Why is my output for nominal_test incomplete?

I am currently using the nominal_test function, in the ordinal package, to test for the proportional odds assumption but have encountered a problem. Here is my code: ...
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1answer
50 views

Is “distance” an ordinal variable?

I have an independent variable (distance between two stimuli) with 6 levels, but the levels are not equally spaced (e.g. 10, 15, 25, 35, 45, 60 pixels). The distance between two stimuli is important ...
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25 views

Is this the right statistical test?

I'm designing a research plan (not actually performing it) and chose personality traits in internet addicts. I decided to give my participants the Eysenck Personality Questionnaire(EPQ-R) in order to ...
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52 views

Visualizing positive, negative and neutral in 2D?

Overview: The campus I work for has a website that students can use to vote how they feel in terms of comfort in a particular room. The options the students have when logged into the site are : Cold, ...
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1answer
39 views

Analysing and Reporting ordinal logistic regression in R

was wondering if anyone could help. Sorry if this question has been asked before - cannot find it anywhere I am running multiple ordinal logistic regressions using R, using the "ordinal" package, ...
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26 views

How to treat ordinal average rating as a regression predictor?

I have several variables that are averages of responses to a 5-star scale to rate attributes of a product. I have spent a little while reading about the potential issue of averaging a Likert scale and ...
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1answer
100 views

Analysis for ordinal categorical outcome

I am not sure how to evaluate my data correctly, since the outcome (dependent variable) is on an ordinal categorical scale and there are two independent variables. To simplify my experiment: Each ...
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48 views

How to deal with categorical dependent variable with more than 2 categories?

I've been struggling to understand how to approach this problem. Problem Description I have $n$ features that describe a dog race such as: Final time First bend time Track Grade My dependent ...
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14 views

Ordinal categorical predictor in multiple regression

I have an ordinal predictor (family income), which has 4 levels: 1- Below $2000 2- $2000 - $3999 3- $4000 - $5999 4- $6000 - $7999 So each level is an increase ...
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34 views

Can I use regression to analyze relationship between rating and choose-all-that-apply data?

If I sent all of my customers a product to try, let's say it is a laundry detergent product. I then ask them to rank their liking of this product, from 1 to 9. then I ask them 'which words do they ...
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Strategies for predicting values of a time-dependent CDF, given covariates

I've got data that looks like this: ...
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19 views

When is categorical data ordinal?

I've obtained some datasets on which I should perform the analysis. Since I have not made the questionnaires I have some doubts about the questions with categorical outcomes. I'm unsure whether I ...
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1answer
37 views

What is the appropriate test when dependent variable is ordinal binary and independent variable is continuous?

I am curious what is the most appropriate test to use when the outcome variable is an ordinal binary (test score of pass or fail) with a set of four unordered treatment conditions (A,B,C,D) as the ...
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93 views

Bootstrapping ordinal correlations? How to deal with the effect of duplicated observations?

When dealing with ordinal correlations (e.g. Spearman's Rho, Kendall's Tau), one can non-parametrically test the null hypothesis of no correlation by a random permutation test (shuffling one of the ...
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Logistic regression of both ordinal response and explanatory variables [duplicate]

Here the last column is my response variable. I have four predictors that are ordinal. How best to code them to preserve their "ordinal" properties?
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66 views

How should I deal with continuous independent variables in a regression for ordinal dependent variables?

I am doing a research for which I will perform a data-analysis in SPSS. My dependent variable is 'father involvement'. I have four different questions that have measured different forms of 'father ...
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2answers
64 views

Main effects flip sign when adding interaction term in ordinal logistic regression

I am running an ordinal logistic regression. DV: policy score (0-3). IV: all continuous scale (GDP, corruption perception, total number of mines) All IV have a positive correlation with DV. When ...
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28 views

Why Converting Regression to Ordinal Regression

Intro: Ordinal Regression/Classification is a classification where the labels have orders (https://en.wikipedia.org/wiki/Ordinal_regression) Question: Can you comment what are pros and cons if ...