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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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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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13 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
48 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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19 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
44 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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24 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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1answer
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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27 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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23 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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65 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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1answer
39 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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11 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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2answers
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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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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
24 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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1answer
85 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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16 views

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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32 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
40 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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1answer
24 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 ...
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Plot of two ordinal variables?

It is common to represent various (ordinal, social) attributes on a pair of axes as in the examples below. In general, what is this sort of graph/representation called? It is, perhaps, useful to ...
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1answer
75 views

Binomial logistic regression with multiple Likert-scale (ordinal) predictors

My colleague wants to perform binomial logistic regression with data that include: binomial (T/F) response variable 35 different Likert-scale (1-5) predictor variables to choose between. N = 300 ...
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Regression/ classifcation model with Ordinal Outcome types and uses

Can somebody explain me the different types of models for the train function from the caret package in R under the heading "ordinal outcomes"? Specifically, "Adjacent Categories Probability Model for ...
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1answer
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Repeated measures: Use random intercepts model, too many intercepts?

This is a common question, but I couldn't find a question / answer on Cross Validated dealing with the same problem. In short, is 1000 intercepts too many intercepts, that is, can individual be a ...
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52 views

Cluster analysis for ordinal temporal data

My objective is to cluster individuals according to their answers to a questionnaire. My data contains 10 variables across 20 quarters in 5 years. All variables are ordinal and take values from -5 to ...
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1answer
37 views

Ordinal regression or multiple regression?

I'm using STATA and this page to find a proper test, but I'm not sure which is better fitting, an ordered logistic regression or multiple regression? My dependent variable is life quality (ordinal ...
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3answers
42 views

When transform variables to int or to ordinal variables to compute a linear regression model in R?

I am working in R with a database that contains variables as seasons, months, days, temperature, humidity and cnt (integer values). I want to compute a linear model using cnt as the dependent variable ...
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Are median values numeric or ordinal?

I'm trying to set up the input data that I'd feed into my DL model and for the simplicity, I'm thinking of plugging in only the min/max/average values of the original data. (This is necessary for my ...
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1answer
64 views

Using emmeans with clmm to look at joint effects

I am running an ordinal model on rating data, with 1 random effect (subject) and 2 fixed effects (condition with 3 levels, probe.position with 6). I use the clmm function from the ordinal package. I ...
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Analysis for a Within-Subjects Design with Ordinal IV and Continuous DV

I have a set of non-normal data I'm trying to analyse but am worried I'm violating the assumptions of my chosen test. I have a 18-trial within subjects experimental design. Participants received an ...
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20 views

Conditional dependence between two ordinal variables

I really hope that this question was not answered in any way before, but I couldn't find an appropriate solution to my problem - most probably due to my lack of statistical knowledge. I am trying to ...
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8 views

Ways to compare Likert ratings with non-equal total response count

I have Likert response data like this in which the surveyor asked 188 raters to rate on a 1-5 Likert scale for 6 different stories with the question, "I'd like to hear more stories like this". Some of ...
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1answer
42 views

Post-hoc testing for cumulative link mixed-effects model with interactions in R

I'm a resident physician working on my doctor's thesis and I'm trying to analyse data from a survey with R. I have basic mathematic and rookie statistics skills. Participants of the survey have been ...
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1answer
34 views

Which statistical analysis to use on ordinal questionnaire data?

I would like to analyze data on questionnaire scores on quality of life between two different groups. There are 20 quality of life questions, all with responses on a Likert scale 1-7. So I have an ...
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2answers
31 views

Does the total of ordinal scores on a questionnaire become scale in SPSS?

I have a questionnaire whose data I've inputted into SPSS. I wanted to ask that do the total scores of likert items become scale and no more ordinal?
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38 views

Power analysis for ordinal logistic regression (multiple independent variables)

I have a question with regard to a simulation based power analysis for ordinal logistic regression suggested here: https://stats.stackexchange.com/a/22410/231675 (by Greg Snow) The suggested power ...
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16 views

How to assign class weights & also mis-classification cost in multi class classification of Vowpal Wabit?

I have a problem of Ordinal Classification consisting of labels 1 < 2 < 3 < 4 < 5 < 6. Since the data and cardinality of features are extremely large I have but one choice to use Vowpal ...
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0answers
18 views

ANOVA does not produce results only dots

Question: I am trying to use an ANOVA on the following variables, but the results are only dots. How come? Dependent variable: grades (0, 1) where 0 = fail and 1 = pass Independent variables: ...
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Multivariate ordinal regression

I am facing the following problem: 100 respondents answered a questionnaire with 30 questions, each with a 5-point-Likert scale. The 30 questions can be subdivided into 2 x 15 (Blocks A and B). ...
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12 views

Compare categorical variables that are not(?) independent

I have some survey data in which respondents were classified in to two overlapping groups (i.e. respondents who work in a profession and people who do this same work on their own-- many people do ...
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40 views

What is an appropriate way to re-scale ordinal features, for cluster analysis? AND any thoughts on euclidean-distance for ordinal data?

Background I have data from surveys (on political views from CSES) with answers from respondents in ranking-scales, either 0:10 (0, 1, 2, ..., 10) or 0:3 (0, 1, 2, 3). I want to analyze this data ...
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Which test to run for effect of nominal independent variable on multiple ordinal dependent variables

Im new to stats so dont shoot me. I am trying to work out what is the correct test to run in the following scenario Does the independent nominal variable of colour, with four categories (Blue, Brown, ...
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3 views

Analysis for Pilot Test Study Results

Is it possible to use Cronbach Alpha for a preliminary test study that has mostly dichotomous, nominal or ordinal responses or is this analysis method only specific for interval level responses such ...
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0answers
48 views

Calculating sample size for one 5-point likert item

I am trying to calculate the optimal sample size for a hypothetical experiment with the following: Treatment condition (n TBD) Control condition (n TBD) My dependent variable is an 'intent score' ...
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0answers
25 views

Association between an ordinal Likert variable and a nominal variable

I have responses from a 7 point Likert semantic differential scale -let's say from 'Completely Agree' at one end to 'Completely Disagree' to the other- and a nominal/semi-ordinal age groups variable ...
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7 views

Spatial clustering of ordinal attribute

I have a set of polygons (ESRI shapefile), each with one ordinal value. The values are in the range of 1 to 100. Not all values within this range are used and there can be repetition of values across ...
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0answers
14 views

Two correlated ordinal independent variables, several continuous dependent variables

I am currently struggling with a somewhat atypical analysis. People have been evaluating their cognitive state at two time periods – when they had attended school and at the present moment. Naturally, ...
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14 views

How to test for differences between groups for ordinal outcome variables in SPSS?

I do not have experience with ordinal data, please help me out with my questions? I have conducted a survey which consists of 25 Likert-items, these items are all statements for certain conditions ...
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3answers
75 views

Why linear regression and then approximation to the closest integer value is a bad idea if your dependent variable is ordinal?

While thinking about methods on how to predict a dependent variable that is ordinal and constrained (0, 1, 2, 3, 5 are the only possible values), I found that an ordered logistic regression is an ...