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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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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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1answer
41 views

Loss function for binary classification with ordered subclasses [on hold]

I have a set of companies that I want to classify as having either >= 250, or < 250, employees (so it's a binary classification), however my training dataset contains more detailed information ...
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3answers
61 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 ...
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8 views

Create a composite score from nominal, ordinal and scale data [duplicate]

I want to calculate a composite score for temper tantrums' severity. I want the variable to be dichotomous so that it represents normal temper tantrums and severe temper tantrums. Severe tantrums ...
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Ordered logit and proportional odds assumption

According to Wikipedia, ordered logit regression relies on the proportional odds assumption. Suppose that the proportion of people in groups 1, 2, 3, 4, and 5 are given by p1, p2, p3, p4, and p5. ...
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10 views

Correlation-like characteristic for ordinal feature with only three values

I have tabular data with two variables: one of them is regular continuous (float) variable and the second one is ordinal with three values only. I want to measure their dependency. (If it can help, I ...
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0answers
8 views

Correlation between “ Time of the day” and an ordinal variable

My hypothesis is The compliance score (Dependent/ ordinal variable) varies during a different time of the day. for example, I would expect high compliance between regular working hours 7 am - 5 pm -...
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0answers
15 views

“Down” “Null” “Up” logistic regression

I am familiar with binomial (logistic) regression and with multinomial regression based thereon. Is there a technique specifically adapted to "trinomial" data, where the data can be represented -1, 0, ...
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24 views

Two predictor variables are partially related. How do I handle them before performing logistic regression

I have a predictor variable which has three levels (success, failure, nonexistent). For all nonexistent values another predictor variable value is 0 but success and failure could fall within a range ...
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15 views

which test to use

I'm wondering which statistics should I use. I’ve conducted an acceptability judgment task using 7 point scale for 8 different conditions. My study has a 2*2*2 factorial design with two level for each ...
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1answer
19 views

Analysing partially ordered responses

I'd like to analyse judges' decisions on bail. Ie some decisions (remand in prison) and clearly worse than others (unconditional bail). But in the middle there are a range of possible responses that ...
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1answer
49 views

How to calculate the covariance matrix for a categorized variable?

Let $X$ and $Y$ be jointly distributed as a multivariate normal with the following parameters: $$ \mu_{XY} = \begin{bmatrix} 0 \\ 0.2 \end{bmatrix} \qquad \Sigma_{XY} = \begin{bmatrix} 1 & 0.05 \...
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Categorical/Nominal Variables w/ Dependent Variable Ordinal: How to determine change over time

I am trying to run a statistical test to determine how four variables influenced moss mat reattachment rates in a removal experiment. In the experiment, we removed a 10x10 cm moss mat from a rock ...
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0answers
20 views

Choosing statistical analysis with an ordinal DV

I am struggling to determine which statistical test to use for my analysis for my dissertation. I am studying how psychologists and clergy members are taught to work with families where there has been ...
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1answer
42 views

How to use a Non-Linear Ordinal Variable as (In)dependent Variable?

I am using the World Values Survey and the answers to my independent variable are as follows: Daily Weekly Monthly Never Answers to my dependent variable: Always Usually Never As you can see, the ...
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0answers
68 views

weighted kappa for intra/inter-rater reliability in SPSS

I am working with ordinal scales for cerebral atrophy (ratings 0 to 4) and vascular burden (ratings 0 to 3) assessed by two raters. I have installed the extension bundle for weighted kappa from SPSS ...
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45 views

Why do regression parameters change when adding more explanatory variables in ordinal logistic regression?

I have been using ordinal logistic regression with the ordinal package in R and the clm() function to complete an analysis of ordinal survey research data. In ...
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30 views

Analyze Ranking Data

I've some data from an experiment. Users had to use 4 different applications and had to rank these 4 applications in regards to "best overall", "easiest to use", "safest to use" using 1 for the best ...
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1answer
28 views

How is probability y = j|X calculated from an ordinal logistic regression model?

I have an ordinal logistic regression model fitted with lrm from the rms library in R, and am presenting results as prob y = j|X ...
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1answer
50 views

Can I combine several ordinal questions to create an independent variable? [duplicate]

I am currently doing a research and recently encountered a few statistical concerns. I am basing this question on the following post. My question is quite similar to the above-mentioned one but has ...
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0answers
45 views

VGAM parallel=F model error (doesn't occur for parallel=T)

I was looking into the proportional odds assumption for a wine dataset from the archive. I used the code from the UCLA page to assess the assumption and completed the Brant test using the brant ...
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0answers
32 views

Regression methods for ordered categorical data with more than 2 levels

I am dealing with an Outcome Variable y which is categorical (0,1,2,3) and ordered. My question is what type of regression models can I try for such a dataset ? I ...
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0answers
53 views

Confidence intervals and variance for ordinal scale set [0-5]

We have a known sample of data coming from a multiple choice ordinal scale survey question with scores from the set [0,1,2,3,4,5]. In one sample, the mean of this ...
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1answer
26 views

How to compare the fit of an ordinal logistic regression model to fits of a set of binary logistic regression models fit to the same data?

I have ordinal data (4 levels) which I have fit with: a) 1 proportional-odds logistic regression model and also b) 3 separate binary logistic regression models fit to values >= levels 2, 3, and 4. ...
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0answers
13 views

How to compare the rankings of two groups?

I'm trying to compare the rankings of two different groups (states that voted Democrat and states that voted Republican). What test should I use? Based on some googling, it seems that I should be ...
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0answers
25 views

Can ICC be used to measure and benchmark ordinal classification accuracy?

I am conducting ordinal regression with an ordinal categorical target outcome roughly equally distributed as 1, 2 or 3. (This ordinal categorical target is actually the conversion of a numeric target ...
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1answer
76 views

Proportional odds assumption for multilevel data

I'm running model in which I analyze salary of recent graduates. People graduated from different majors and in different years. The dependent variable (salary) is measured using intervals, e.g., "less ...
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8 views

Formalised analysis of questionnaires

I have given a dataset that resembles a questionnaire and I am requested to write a statistics paper on it. I have little to no experience dealing with cross section categorical data. While I have ...
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1answer
28 views

Independent variable derived from the dependent variable in regression modeling

We wish to model ratings (1-9) based on several predictors. We hypothesize that the effect of some predictors may vary across the ratings. That is, some predictors might distinguish higher ratings (e....
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0answers
38 views

Testing endogeneity in a Logit vs Probit model

I'm completely new with logit/probit models and I am confused. While I read in some books/papers that endogeneity would be a major issue in a probit model, I cannot find any references regarding logit ...
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1answer
35 views

Analysis of two categorical independent variables with one categorical (ordinal) and one continuous dependent variables

I am trying to understand how best to analyze my data, or find similar examples. I have two independent variables: Treatment (11 categorical levels) and Genotype (2 categorical levels). I then ...
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0answers
21 views

Regression for Interval and Continuous Predictors - Continuous Target Variable

I have in my dataset a continuous target variable sales and two predictors- one continuous and one interval. The continuous variable is ...
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0answers
21 views

Correlation between Ordered Variable and Categorical Variable

I am analyzing Opportunities for Sales people. I have a categorical variable which is Status:{Won,Lost} My dependent variable, and other Independent ordered variables like the stages of the ...
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0answers
31 views

Ordinal regression with R

In the book "An introduction to Generalized Linear Models - Third edition" by Dobson and Barnett, on page 161 (the database is here [bit.ly/2NtJFAw]); I'm trying to replicate some results, but the ...
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1answer
164 views

R: Interpretation ordinal regression with clm

I have a question regarding the interpretation of an ordinal regression in R with the clm function. I am new to this and used this formula: ...
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0answers
15 views

Analytical method for two ordinal variables

I have such a contingency table for analysis. Both Experience and Importance are ordinal variables. How can I analyse the relationship between these two variables? Which methods and R packages do you ...
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1answer
57 views

How do I simulate a random valid correlation matrix of ordinal variables given a list of marginal probabilities?

I am trying to use R to simulate random variations in a real dataset with a known number of categorical and continuous predictor variables, as well as known marginal probabilities for each ordinal/...
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1answer
36 views

What is an example of how ordinal data can yield bad classification results in contrast with one-hot encoding?

Let's say that we want to perform classification on a dataset e.g. whether a customer is going to buy again from a shop or not. There could be a categorical variable, let's say the customer's title (...
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1answer
79 views

Lsmeans output for clmm models (R)

I've fitted a cumulative logit model, where the IV is categorical (different animation models being compared), the DV is ordinal (points on a 1-9 scale), and there are some random effects (subject, ...
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8 views

TEST: relationship of minority students academic performance to CRT

Which test should I run if I am looking at the relationship of academic performance (outcome) by minority students (nominal variable) to their cultural responsive experience/perception (ordinal ...
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1answer
31 views

Estimating point of flat behavior of curve?

I am working with discrete data that falls along a decay-like curve, and I want to estimate a $k$ such that for $i > k$, the y value doesn't change much at all. Here's simulated data that looks ...
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0answers
24 views

Deriving predicted probabilities from gologit2 (proportional odds models) output

I am trying to understand the output from Richard Williams's amazing gologit2 STATA package. The software is used for ordinal logistic regression and circumvents violations of the proportional odds ...
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0answers
15 views

Inter- and intra-observer agreement based on regression coefficients

I have a following study design for a group of people looking at a picture: Ordinal outcome variable - based on picture, how sure you are that A is true from 1 to 5 Binary predictor - a golden ...
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1answer
30 views

Repeated measures with ordinal response and two categorical independent variables

I am trying to test this difference in students results (ordinal response variable; 1 - above expected, 2 - working at expected, 3 - working just below, 4 - working below) for two periods of time in a ...
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1answer
20 views

Valid method for analysing if positive association between giving a drug and increasing ordinal scores

I have a set of ordinal scale scores for a group of patients before and after an intervention (drug). I was wondering what would be a valid statistical method for analysing if there was a positive ...
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0answers
7 views

How to test association between rank difference and continuous numerical variable

Suppose we have two timepoints, $t_1$ and $t_2$, and a population of size N for which, at each time point, we have rankings of the members of the population, $x_1$, $x_2$,...$x_N$, and also observe a ...
3
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1answer
79 views

Comparing two grade distributions

I have the following contingency table showing student grades in 2017 and 2018. Student populations are different in both years. In 2018, a different exam format is introduced. The research questions ...
3
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1answer
50 views

Different Types of Data

According to my Elementary statistics for Business and Economics text book revised Edition 2012 . Under a section concerning the Different types of Data . This text book says that under Quantitative ...
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4answers
169 views

How to best code the N/A response of the Likert-type rating scale?

Say I have a dataset of people's opinion/"rating" on something, and they have to choose 1 out of 5 possible answers for each question - Very happy, ...