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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Polychoric PCA and component loadings in Stata

I’m using Stata 12.0, and I’ve downloaded the polychoricpca command written by Stas Kolenikov, which I wanted to use with data that includes a mix of categorical ...
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8 votes
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Interpreting odds ratios less than 1 with 3-category outcome

I have a 3-category ordered outcome (food consumption: 1=no food, 2=less food, 3=more food) and a 3-category ordered predictor (food exposure: 3=no time, 2= less time, 1= more time- whereby 3=no time ...
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can I use PCA and PAF on Kendall's and Spearman's correlation matrix?

I have a dataset of 77 items, ranked by 17 people, with many ties (actually: Q-sorted under a forced quasi-normal distribution ...
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Running a poisson GLM with cyclical explanatory variable?

Im running a few poisson GLMs looking at count data of bats sightings in relation to lunar cycle. We specifically want to look at how species are affected leading up to and away from new moon/full ...
Dillon Jones's user avatar
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557 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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Help with using variables as ordered factors/how to read lme4 output

I am quite new to R and also to LME statistics and would greatly appreciate any help. I am trying to figure out whether I have changed the variables in my study accordingly, and how to read the ...
V Mileva's user avatar
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What are the representations of splines? Is there a concept of a 0 degree spline?

The splines package in R is mostly focused on, what they call, a B-spline representation which is, by default, a cubic polynomial with no knots (unless you supply them). The actual numeric coding of ...
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Analysing when tunes are alike: testing ordinal and categorical similarity

I'd like to compare some Jazz tunes. Jazz tunes are characterized by a succession of chords. The interval between each succeeding chord (number of tones) and the order in which they appear matter. ...
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Correlation between numeric and ordinal variables

What test can I use to test correlation between an ordinal and a numeric variable? I think linear regression (taking numeric variable as outcome) or ordinal regression (taking ordinal variable as ...
rnso's user avatar
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Ordinal correlation vs. univariate isotonic regression - practical differences?

Ordinal correlation statistics such as Spearman's $\rho$ or Kendall's $\tau$ allow us to measure the association of two variables while considering only the ranks of the observations. Isotonic ...
Trisoloriansunscreen's user avatar
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Generalised Residuals - Estimated value of the density at that point for observation $j$ $i$?

I am trying to write R code for the generalised residuals as described in Vella (1993) and also mentioned by Wooldridge (2014). Wooldridge suggests to use these ...
Tom's user avatar
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Ordered logistic Regression with categorical variables

I am conducting a regression. There is an ordinal dependent variable (ordered from 1 to three) and some categorical independent variables (each of them includes several items). I adopted the ...
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Categorical PCA: Merge categories based on Transformation Plots?

A tutorial on categorical pca (CATPCA) (Linting et al. 2012) explains that a decision to merge categories of an ordinal variable can be made based on the category quantification ("none of the ...
user116948's user avatar
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523 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 ...
George Youssef's user avatar
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712 views

Testing if treating a categorical variable as continuous is okay

Pardon me if this is a simple question, but I haven't found a great resource for this just yet. Yes, I know that when possible, we should try to treat ordinal variables as categorical rather than ...
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I have 12 items to get into a single rank order. Can I get this from having a few hundred people see a set of 10 of the possible pairs of items?

I attempted to run a study where people had to rank order 12 statements from best to worst. However, it was extremely messy and difficult for people to rank that many items. Now, my professor and I ...
Bofstein's user avatar
3 votes
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Deducing from Ordinal to Binary Data

Assume I have two rank vectors $r^A, r^B$ of size $p$ - that is, each of them is some permutation of $1,...,p$. For the sake of simplicity, assume that $p$ is odd. Now, I take these vectors and recode ...
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How to handle ordinal predictors/independent variables in LASSO?

Hello: I would like to select independent variables from a list of 150 using LASSO. Most of the independent variables are in Likert Scale (1-strongly disagree,..., 5-strongly agree). It is better to ...
goren9's user avatar
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Mixed effects ordinal regression: CLMM (ordinal) with non-proportional odds?

I have Likert scale responses (DV) from a survey rating 10 voices on 10 personality traits. I need to run a regression model in R to look at the effect of accent and some other participant demographic ...
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Is there a fundamental mathematical reason that ordered factors are represented as orthogonal polynomials in linear regression?

At least for R, Chambers/Hastie write in their book "Statistical Models in S" in chapter 2.3.2 "Coding Factors by Contrasts": Ordered factors are coded so that individual ...
Christoph's user avatar
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Linear regression with education as an ordinal variable

I wanted to know can I take education as an ordinal variable in my analysis. For example Olevels as 1, A levels as 2, Bachelors as 3, Masters as 4, PHD as 5 and then run a simple linear regression? Is ...
Ahsan Tech's user avatar
3 votes
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278 views

Interpreting the threshold shift/nominal effects variables output from a cumulative link model (CLM) from ordinal package

Is it appropriate to report the statistical significance of the threshold coefficients for variables in a clm model that were calculated with nominal effects? Using the example from the ordinal ...
James DeWeese's user avatar
3 votes
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80 views

Working with tiered data

I have data on a sample of individuals infected with a disease, which has several serovars (distinct variations of the bacteria - e.g., Bratislava, Hardio, Grippo). An infected individual can test ...
ZombiePlan37's user avatar
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Analysis of contingency table with ordinal outcome?

What statistical test do I apply in following 2 situations: ...
rnso's user avatar
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173 views

How to model qualitative body condition scores? Ordinal logistic regression?

I am after some advice on how to model qualitative animal body condition scores? My overarching research question relates to comparing the body condition of animals across seasons, locations, age ...
Pat Taggart's user avatar
3 votes
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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 ...
Sean Schmitz's user avatar
3 votes
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1k views

Regression: Should ordinal variables start at 1 or 0?

I have a multiple regression that contains multiple variables, many of them ordinal with 3 or 4 possible choices. (e.g: Are you currently experiencing stress? 1: No, not at all. 2: Somewhat. 3: Yes, ...
Jasper's user avatar
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578 views

Distance or divergence for ordinal distribution

Measures like KL divergence can be symmetrized (into JS divergence). Bhattacharyya distance serves a similar function. Either is well-suited to both continuous distributions and discrete (e.g. ...
Arya McCarthy's user avatar
3 votes
1 answer
644 views

Modelling Races

The question that I wish to ask is what is an appropriate likelihood model to use for races. For example, suppose that we have 4 competitors in a 100m race. We observe the competitors weight and age ...
sachinruk's user avatar
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Profiling survey respondents with both categorical and ordinal variables

I have a mixture of categorical and ordinal variables from a survey that I am trying to use to create "profiles" or segments that differ from one another with respect to a dependent variable (the ...
quincy16's user avatar
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164 views

Google consumer survey stats

In Google's consumer survey product, they calculate confidence intervals using the Wilson score interval for the unweighted results. Does anyone know how they calculate the confidence interval after ...
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Estimating fixed effects for ordinal regression

I am running a model when the response variable (behaviour) is an ordinal factor (levels: $0,1,2,3,4$) and I am testing the relationship with two fixed effect factors (year: $A,B,C,D$; colony; $X_1$,$...
Sam's user avatar
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3 votes
0 answers
404 views

Can I include nominal predictor variables in ordinal regression?

I am in the process of performing ordinal regression on a large data set that measures different types of variables (nominal, ordinal, continuous). My outcome variable is ordinal, hence the ordinal ...
user12146's user avatar
3 votes
0 answers
281 views

How to analyze mood data over time?

I've collected data for individuals on a team about their daily mood. Each day, individuals rate their mood on a scale that is assigned the following values: 0 (bad), 5 (so-so), 10 (good). Using the ...
swanson's user avatar
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Is it valid to model discrete numerical test scores as coming from a continuous random variable?

I'm working with a sample of test scores which range from 0 to 100. These scores are generated from a set of 100 binary responses (0 or 1), so the higher the resulting sum, the better the performance. ...
ipadawan's user avatar
2 votes
0 answers
29 views

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 ...
Rubberduckquack's user avatar
2 votes
0 answers
34 views

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 ...
JWilliman's user avatar
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2 votes
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Mixed Model Ordinal Regression - number of questions don't affect power?

I'm doing a study where two groups of individuals will answer a number of questions. Let's call the amount of individuals in each group Ni and the amount of questions Nq. No individual will be in ...
Ylor's user avatar
  • 123
2 votes
1 answer
184 views

Mediation analysis with an ordinal mediator

I have to do mediation analysis for my research and my IV and DV are both continuous and mediator variable is ordinal (time spent on Instagram where categories are: less that 30 minutes a day 30 mins ...
Nikola's user avatar
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2 votes
1 answer
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Characterizing and comparing the heterogeneity of ordinal responses from survey

Let us consider the following setting: We have two groups Q1 and Q2 of questions Several participants answer all questions using a single ordinal scale A, B, C or D for all questions. Then, I want ...
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Is multivariate ordinal regression suitable for my reserach?

I want to test what leads to the support for two policies (Likert scale ß disagree to strongly agree). There are independent variables, some of which are demographic and two are of interest (...
Lia's user avatar
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2 votes
0 answers
23 views

Which test to use for associations between categorical independent and ordinal outcome

I am analyzing factors that influence program retention in a medical program. Our dependent variable, retention time, is split into 4 categories (<1 month, 1-3 months, 3.1-6 months and >6 months)...
Veronica's user avatar
2 votes
0 answers
41 views

Is this a meaningful method to determine spread around mean?

I have student ratings of 123 schools across the US. They represent 100% of this type of school across the US. The ratings are on the scale Poor, Fair, Good, and Superb, and I have the number and ...
Logan_Stat's user avatar
2 votes
0 answers
767 views

Hauck-Donner effect in ordinal generalized regression

I am running a series of ordinal regressions on a rather large data set (n=3640). With some predictors I had issues with violations of parallel lines assumptions, so I decided to run those with a ...
SPet's user avatar
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170 views

Effect size for an ordinal probit regression

I'm trying to simulate an ordinal regression model in order to compute a power analysis in R. Let's assume that I have a 4 level ordinal variable to predict and a dichotomous dummy coded predictor. ...
Filippo Gambarota's user avatar
2 votes
0 answers
34 views

How would you analyse two likert scales answered by the same people on several occasions?

I don't usually need to use stats in my work so this might seem like a basic question but, to me, it's baffling! I have two questionnaires that I'm giving to the same group of people who are ...
Alice's user avatar
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2 votes
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302 views

Diversity index and ordinal variables?

Is it possible to calculate a diversity index (Simpson's or eventually Shannon's index) from ordinal data? As in, we surveyed 50 transects and recorded several species' "abundance" in 4 ...
GManono's user avatar
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2 votes
0 answers
167 views

A couple of polr Issues for ordinal regression with ordinal independent variables

I am having trouble using polr for a ordinal regression because I also have ordinal independent variables. Looking online it looks like I should either convert them to categorical dummy variables or ...
Amy's user avatar
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2 votes
1 answer
506 views

How to compare paired qualitative data?

I would like to compare two methods on qualitative and paired data. To summarize my study for you (it's for an internship), I have activity values ​​that were measured on 13 sites, for 12 species of ...
Kuro's user avatar
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2 votes
0 answers
11 views

Nonparametric estimation of ranking data

Suppose I have $\{X_i, Y_i, N_i\}$, where $N_i$ is the number of objects for sample $i$ (typically 30 - 35 objects), $Y_i$ is complete ranking (ordering or permutation) of $N_i$ objects, and $X_i = (...
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