'ordinal` refers to data that have an order but not necessarily equal spacing between levels. It can also refer to ordinal logistic regression.

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Inferring parameters for a regression with features of both multivariate probit and ordinal regression?

I am dealing with data which is generated by a complex process, which I elaborate below; I am trying to answer one or more of the following questions- a) what is the right literature to look for ...
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69 views

Treating ordinal variables as continuous for regression problems

In the social sciences I have encountered that it is common to treat ordinal variables as continuous, for example variables originating from rating or Likert scales (strongly disagree, disagree, ...
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19 views

How to test correlations between ordinal outcomes and various kinds of variables?

Running some analysis for 65 patients who have gone through a medical treatment post-diving. I have a dependent variable which is ordinal: 1-bad outcome, 2-okay outcome, 3-good outcome. I want to ...
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How do I run Ordinal Logistic Regression analysis in R with both numerical / categorical values?

Base Data: I have ~1,000 people marked with assessments: '1,' [good] '2,' [middle] or '3' [bad] -- these are the values I'm trying to predict for people in the future. In addition to that, I have some ...
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13 views

SEM for Non-Normal Ordinal Data

In short, I conducted a satisfaction survey in which surveyees are required to answer on a satisfaction scale from 1 to 7: 285 observations, 37 satisfaction variables. Here is an example of what the ...
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1answer
16 views

ANCOVA: ordinal covariate on SPSS

I'm trying to run an ANCOVA on SPSS with 3 variables: Gender, score 1, score 2. I want to control for the possibility that gender has an effect the scores, in order to isolate just the relationship ...
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17 views

Likert Item, Regression analysis

HI there: I have a one likert item I would like to analyze. I know that most scales require multiple likert items, but this is just an exploratory exercise of an existing survey. It's out of my ...
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1answer
48 views

Correlational study or ordinal data using 5-point Likert scale

How do I calculate the correlation using ordinal data based on a 5-point Likert scale associating perioperative education to patient satisfaction scores? A numerical value (...
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1answer
31 views

How to conduct regression analysis on ordinal variables in SPSS?

My data basically includes a number of ordinal (and some nominal) variables on perceptions of volunteers. I essentially want to see whether perceived personal benefit from volunteering (based on a ...
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1answer
45 views

How can I estimate the shape of a curve where the predictor variable is right censored interval variable?

Are there methods available to conduct interval-regression style analysis where a predictor variable is the interval variable and the outcome variable is a dichotomous variable? To give a bit of ...
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1answer
37 views

Repeatedly measured, longitudinal and ordinal data

Description of the problem: The effect of a certain treatment is tested as follows: For n subjects, the endpoint is measured three times before and after the treatment is administered, respectively. ...
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20 views

Survey-Based Analysis, Small Sample Size, Ordinal Dependent Variable

I conducted a survey and only received 50 responses. My dependent variable is ordinal. My independent variables are ordinal, dummy, and continuous... What statistical model should I use to analyze ...
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42 views

Multiple regression between ordinal variables [duplicate]

Can I carry out regression between 3 independent ordinal variables (Feelings from an ad; Judgement of an ad; ...
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37 views

How to change words into ordinal/nominal numbers in SPSS/Stata

I have a survey and many of the questions asked have answers on a Likert scale. e.g. How conservative are you? 1) Very conservative 2) Quite conservative 3) Not very etc. So it is ordinal as they ...
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9 views

ordinal regression and calcuating effect size when predictor is categorial

I've conducted an ordinal regression with two categorical variable (attitude toward fraud or probability of being caught=punishment). attitude range is 1:no wrong to 4:very wrong. probability of being ...
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21 views

Does the more complex model necessarily have a lower deviance?

I am aiming to compare the deviances of two models, an ordered probit and a multinomial probit, using the likelihood ratio test (obviously using the same data). However, I systematically obtain a ...
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1answer
35 views

Variation explained in ordinal logistic regression models

I have made these three ordinal logistic regression models: ...
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1answer
56 views

Interpretation of ordinal logistic regression

I ran this ordinal logistic regression in R: mtcars_ordinal <- polr(as.factor(carb) ~ mpg, mtcars) I got this summary of the model: ...
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49 views

Is this variable ordinal or interval ?

For my research paper, I want to measure headache frequency and I asked participants " Since last month how many times you have had headche ? and they gave answers like 2 times, 3, 5, 10, 14 times ...
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Parallel lines assumption for ordinal regression model

I used the lrm function of the RMS package for a ordinal regression model for prediction. When I use the graphical plot method, the parallel line assumption seems to fail for some variables. Is there ...
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38 views

Abnormally high accuracy with repeated 10-fold CV and ordinal regression

I am using repeated 10-fold CV to calculate the accuracy of my ordinal regression model. I have 6 predictors, 10 ordered response categories, and a total of 1166 data points. For the ordinal model, ...
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21 views

Correlating ranked lists

Let's assume I have 10 users who rank a list by preference. A B C etc. My questions are: What is the best statistical method to find which lists are the most correlated? If they are the same, ...
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36 views

Machine learning with ordered labels

The usual method for adapting binary classifiers like various SVMs to multilabel data is one-vs-all, which assumes that labels are independent and in case of a prediction error we don't care what ...
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37 views

using outcome of clustering as an ordinal scale for regression - feasible?

Suppose I have access to five dental surgeries, who volunteered to collect data about patients and their regular check-ups. The dental surgeries are quite up to completely different from each other ...
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37 views

Ordered logistic regression in JAGS

I am estimating a simple ordered logistic regression -- in fact, I am expanding this to a multilevel model, but I cannot get the simple ordinal model to converge. The data are three wave panel data, ...
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29 views

How do I report my ranked ordinal data?

I passed out a survey to the community and I am unsure how to properly report the data. The question is: "Rate from 1-5: one being the most important and five being the least important. I will attend ...
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1answer
151 views

Linear Regression: Ordinal or dummy independent variables?

I am a beginner who needs some help reading some results from linear regressions. I am looking for factors that influence the location of civil conflict events. My dependent variable is the distance ...
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19 views

Can composite scores of Likert scale be obtained? [duplicate]

I am using a Likert scale for a group of 3 questions. Strongly Agree Agree Undecided Disagree Strongly Disagree I have 3 questions with these possible responses under the category "Effectiveness". ...
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How do you identify the class of an anonymized attribute in statistical analysis?

How do you identify the class of an "anonymized attribute" in statistical analysis? (By "anonymized attribute" I mean that I do not know whether the attribute is continuous or categorical). The ...
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Ranking undergrad students by their future income - Mixture distribution

I would be very grateful for some advice on how to model mixture distributions with R. Given a problem to create a ranking of graduate students by their yearly income after completing their ...
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1answer
112 views

LASSO to identify important variables in ordered logistic regression?

I have spent two days grappling with this question, and the range of ambiguous answers online has driven me to ask. I am working with R. I have a dataset where my dependent variable is an ordered ...
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30 views

Logistic regression with block correction for ordinal response

I have a categorical response (ordinal, lets call it A) collected from a complete randomized block design experiment where the explanatory variable is treatment. How do I account for the between block ...
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58 views

Factor analysis with severly skewed ordinal data and censored ordinal data

I am aiming to run initial exploratory factor analysis in one sample and then confirmatory in another sample. My indicators are ordinal and so I planned to generate a polychoric correlation matrix and ...
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1answer
110 views

Advice/literature on combining items with different response scales into composite scales?

Let's say I have some self-report items measured on a 5-point Likert scale (Strongly Disagree to Strongly Agree) and other items measured on a 4-point Likert scale (Never, Rarely, Sometimes, Often). ...
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103 views

Regression for survey data

I am a bit new to analytics. I have this survey dataset with the attributes below. Independent variable: a. Are we trustworthy? (Value: 1 to 10) b. Do we offer solutions that you need (Value: 1 to ...
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61 views

How to validate “equal slopes” (proportional odds) in ordinal regression

I would like to fit an ordinal regression model using proportional odds. I learned to test for "equal slopes" in order to say something about the model's validity. Therefore, I fit a model with equal ...
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53 views

How to find a correlation between interval and ordinal data

I am trying to discover whether a correlation exists between improvements in exam scores (0-100%) and improvements in Quality of Life (rated using a 5-point Likert scale). I have a set of pre and post ...
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47 views

How to average ordinal items across time

We have 1 pre-stress measurement point (t1), then a severe stressor, and after many months, 3 consecutive measurement points (t2 t3 t4) that are very close together. We cannot really handle these as ...
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Correlation between ordinal variable an nominal variable [duplicate]

I want to find correlation between job satisfaction (by likert-type questionare) and sex. Should I use Kruskal-Wallis test to find correlation between two?
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32 views

Before-after measurement and ordinal longitudinal analysis

Two types of treatment were considered to relieve pain after surgery. Pain is measured as follows: first 30 min after first interpleural (IP) injection (hour zero) in recovery room, then every 4 ...
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1answer
50 views

Interpreting distance between classes for binomial, multinomial, and ordinal regression

I would like to understand the difference between the binomial, multinomial and ordinal models when it comes to interpreting the "distance" between classes, in terms of response probabilities. To ...
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50 views

comparing two groups on ordinal data with covariates

Hi I am using SPSS to compare two groups on ordingal data (frequency of substance use): never, 1-5/week, 6-10 week etc. The substance use data is highly skewed and non-transformable so ANOVA is out. I ...
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IV (2SLS) with ordered/binary dependent and endogenous variable

thanks for taking time to read this first of all. I am looking for an IV procedure if the endogenous variable is binary or ordinal (0 to 5). I see the problem of using 2SLS if the endogenous variable ...
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1answer
207 views

Comparison of Kaplan-Meier curves across ordered groups

I am familiar with the log-rank test for comparing multiple Kaplan-Meier curves, but I am looking for a test that will compare across ordered groups (an ordinal variable). A significant result from ...
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1answer
26 views

Chosing the reference group in a regression with a non-ordinal predictor

When running a model with a categorical predictor, the output contains n-1 p.values where n is the number of levels in the factor. One level is taken to be the reference group. For example: I ...
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1answer
55 views

Measure of absolute goodness-of-fit and good reference measure for cross validation in ordinal regression

I am following up the question I asked here with a more general one, as the reason why I am seeking to calculate the accuracy of my ordinal regression models is to use it as a measure of absolute ...
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1answer
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What is Polychoric Correlation Coefficient intuitively?

There is clear meaning of Pearson product-moment correlation coefficient: it is cosine of angle between two vectors based on variables. Also there are 12 other ways to clearify the meaning of ...
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Ordinal regression models vs. nominal regression models

Suppose we are trying to decide whether to use an ordinal regression model or a nominal regression model. If we know that the outcome variable is ordered should we still use a nominal regression model ...
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Ordinal model comparison: lower deviance but lower accuracy, is this possible?

I am performing ordinal regression (6 response categories) on a large dataset (>15000 points) and comparing two models, one with one predictor X1 (Model 1) and the other with two predictors X1 and X2 ...
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219 views

How to correctly assess the correlation between ordinal and a continuous variable?

I'd like to estimate the correlation between: An ordinal variable: subjects are asked to rate their preference for 6 types of fruit on a 1-5 scale (ranging from very disgusting to very tasty) On ...