`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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ordinal logistic regression with time series

At several time points, I sample different individuals from a population (say 60 ind/time point). I assign to each of them one category (either low < middle < high). I then want to model this ...
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A measure for level of experience [on hold]

For a survey about mountain bike injuries I would like to obtain some information to allow me to quantify the level of experience of the rider. Ideally I would want to end up with some kind of ordinal ...
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12 views

How to interpret clmm output

I am using the clmm() function from the R package ordinal. I understand that the ...
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1answer
16 views

Binary Logistic Regression with multiple binary and ordinal independent variables

In my data set I have one dependent variable (dead or alive) and 37 predictor variables. 35 of my predictor variables are dichotomous (Obese: 1 or 0, Female 1 or 0, etc), however 2 of my variables are ...
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2answers
24 views

Using a dichotomous categorical variable that has an underlying continuous dichotomy in a multiple regression?

FINAL EDIT I just found a good answer to this question in another thread in the forum here, therefore, I think this question could be closed. Thanks so much for your help and the clarification about ...
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14 views

What test used when DV is Ordinal and IVs are ratio?

I have a problem in doing my research. I want to predict the rank of a variable (that is, dependent variable) based on some factors (independent variable) that influence the dependent variable. The ...
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17 views

How do you treat replicates for ordinal data?

Let's say I have a set of tumors, and I ask two pathologists to rate it on a scale of 1 through 5, 1 being the most benign, and 5 being the most aggressive. The data sends up looking like: ...
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I calculated composite scores (mean) out of Likert Scale items. Can I run linear regression with them?

I am learning about how ordinal data (Likert scale, etc) should not be used to conduct linear regression tests. I ended up calculating composite scores out of groups of items measured in a likert ...
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16 views

Regression for continuous dependent variable with independent ordinal variable

My situation is as follows: as a teacher, I've given students the option to make 5 sets of homework during the year, which does not count for their grade, but solely to practice and receive feedback; ...
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6 views

Time weighted variables

anyone please help... Variables: *Independent variable: BP in followup *Dependent variable: Change in Glucose/year (ordinal: low:<-10/year, moderate: -10/year to 10/year, high: >10/year) Time: ...
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1answer
63 views

lrm and orm contrast rms package

need help. I use rms and can't understand different between orm and lrm when i used ...
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6 views

Can I treat my ordinal data as categorical, and use those results to corellate with a 5 point likert scale?

I have recently been reading about business ethics and have undertaken a research project concerning interest in ethical consumption. I am rusty on my stats so I am desperate to get to the bottom of ...
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10 views

analysing improvement in ordinal score in a group before and after an intervention

I am looking for direction in how to analyse ordinal data in a sample before and a sample after an intervention. I have performed an audit of safe drug syringe labelling practice in surgery before ...
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9 views

Ordinal regression with discrete probability distribution

The ordinal regression model outputs probabilities for observation $(\mathbf{x}, y)$ falling into the k-th class or worse via $\Pr(y \le k | \mathbf{x}) = \Phi(\mathbf{w} \cdot \mathbf{x} - ...
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Consequences of fixing thresholds/cut points in ordinal regression

The ordinal regression model outputs probabilities for observation $(\mathbf{x}, y)$ falling into the k-th class or worse via $\Pr(y \le k | \mathbf{x}) = \Phi(\mathbf{w} \cdot \mathbf{x} - ...
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Ordinal dependent variable + Continuous, Nominal AND Ordinal independent variables Can I run Linear regression in SPSS?

I am very new with regression... it's only been two weeks. I am using a trial version of SPSS, looking at linear regression. Here is the breakdown of my variables: Dependent: -5-point Likert scale ...
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1answer
12 views

Evaluating a pretreatment predictor with repeated measures ordinal data

I am currently attempting to study whether particular baseline factors predict pre/post changes in relation to a substance use intervention. However, a few things have me stumped. Our substance use ...
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1answer
26 views

Definition of ordered probit

Can someone please provide a definition of the ordered probit model so that I can calculate the value of $\Pr(y \le k | \mathbf{x})$, i.e. probability of observation falling in the $k$-th class or ...
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1answer
36 views

How do you fit the ordered logit model?

I am reading the wikipedia article on ordered logit models. As I understand it, the model is specified by: $\Pr(y \le k | \mathbf{x}) = \frac{1}{1 + e^{\mathbf{w} \cdot \mathbf{x} - \theta_k}}$ ...
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hierarchical ordered logistic regression

I am using a hierarchical logistic regression model for my categorical dependent variable and a hierarchical ordered logistic model for the ordinal dependent variable. However, my understanding is ...
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1answer
27 views

Nominal/Ordinal and scale in SPSS OLS regression

I'm running an OLS regression in SPSS and have a question about models that feature both Scale and Nominal/Ordinal variables. I say nominal/ordinal because the variables I'm looking at range from 0-2, ...
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6 views

how to use a comparison between two ordinals as a regression predictor

I'd like to predict which species is likely to dominate the other in a pairwise interaction between species. In the literature on dominance hierarchies ("pecking order"), what's usually considered to ...
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10 views

I have ranked, ordinal data with a twist

We asked people to rank their top three choices, in order, from a list of 10 potential items. In essence this I think this translates to seven items tied for not ranked, then 3 (least favored), 2, 1 ...
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39 views

Forecast a song ranking for tomorrow

I need to forecast the position of a song on a music chart. EXAMPLE: chart from #100 to #1 my song started from #100 and raised during the days my song today is #10 and i know the movements and the ...
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1answer
70 views

How to deal with clmm warning: “hessian is numerically singular”?

I am using R's ordinal package to run a mixed regression model with an ordinal dependent variable. The data I am working with looks like this: ...
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1answer
32 views

Poisson glm for rank or score data?

I have a question about analyzing a dataset that I'm currently working with. Each row of the dataset represents an individual songbird, and its reproductive success over the course of a breeding ...
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What to do with categorical data when calculating standardized z-scores?

I have numerous environmental variables I'd like to correlate to some tree species data. The environmental variables vary greatly in scale, so I'd like to standardize each by calculating standard ...
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How to calculate the mean of scale with scale and ordinal items measures in SPSS?

I have a scale called - Facebook Intensity Intensity, with 8 items, adapted from https://www.msu.edu/~nellison/TOIL/scales.html 6 out of 8 items are SCALE Measures, but others are ORDINAL as there ...
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7 views

Significance of changes in the distributions of dependent samples of ordinal data

I'm taking a chance here. Would like to find out if there is some kind of statistical test that can determine the significance of changes in the distributions of dependent samples of ordinal data. I ...
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24 views

Visualizing an ordered logistic regression model

How to visualize an ordered logistic regression model? What's the best graph? Also, what is the best estimator of comparison between multiple linear regression and ordered logistic regression? RMSE? ...
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infer (approximate) ranks or scale values from partial paired comparisons with only one rater

I have a set of items $10$ $(A, B, .., J)$ and paired comparisons between a subset of those items, with a value of $1$ indicating that the column item is ranked higher than the row item and a value of ...
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4answers
152 views

How to select cutpoints for dichotomizing an ordinal dependent variable for binary logistic regression

I am doing a research and want to analyze factors that are associated with dental erosion using binary regression analysis. Dental erosion (dependent variable) was graded using a scale criteria with 5 ...
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14 views

Calculating R-squared and best visual representation for Ordered Logistic Regression

How do I calculate the R-squared value for my ordered logistic regression machine learning model? My outcome variable is an ordered value between 0 to 5. The levels 1 to 5 are equally spaced, but ...
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Calculating R-squared and best visual representation for Ordered Logit

How do I go on calculating the R-squared value for my Ordered Logit machine learning model? My outcome variable is an ordered value ranging from 0 to 5. The levels 1 to 5 are equally spaced, but ...
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How to interpret the coefficients of linear regression when all the variables are ordinal with different categories.

I have a linear regression where my dependent variable is ordinal with 10 categories. One of the independent variable is ordinal with 4 categories and the other independent variable is ordinal with 6 ...
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10 views

What Would be the Best Statistical Test?

I want to see if the fiscal year end densities for public and private companies come from different distributions. The null being two samples come from the same population and the alternative being ...
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21 views

How do I assess correlation between ordinal responses to multiple survey questions

I have survey data on whether ~500 respondents would accept a hypothetical medical procedure in variable circumstances. Responses are graded 1 - definitely yes ; 2 - probably yes ; 3 - probably no ; 4 ...
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Is there a proper interpretation of ordered multinomial variables in binomial Logit model?

I am using a binomial Logit model to make inferences about how respondents of a survey use the Internet based on differences in their financial well-being and income. My dependent variable measures ...
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25 views

Combining ordinal multi level (multivariate) indicator variables into one variable

I have a single variable ,for example call it Quality (var x). It contains 2 indicator variables in it ; Efficiency(x 1) and usability(x 2). with each also contains indicator(s). Efficiency (x 1) : ...
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36 views

Best effect size statistic for ordered categories

I have ordered categories, and a prediction for the size of the categories. If the categories were unordered, I would use Cramer's V as a measure of the effect size. [Feel free to give an opinion on ...
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اHow we can do chi-square test for ordinal logistic regression?

اHow we can do appropriate test for ordinal logistic regression as chi-square for example if we did not get it within the results in table
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1answer
36 views

How to plot three ordinal measures on a single graph?

What is the best graph? A scatter plot with a color by can be misleading. For example, let us say that we measure products such as cars on value, driving experience, and service. Since each measure is ...
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46 views

Model selection for ordinal logistic regression

I am doing a regression analysis for an ordinal response variable with 5 explanatory variables. I will be using the polr() or ...
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1answer
124 views

Confidence Intervals for ECDF

The Dvoretzky–Kiefer–Wolfowitz inequality is the following: $Pr(\text{sup}|\hat{F}_n(x)-F(x)|>\epsilon)\leq 2\exp(-2n\epsilon^2)$, and it predicts how close an empirically determined ...
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1answer
44 views

How to check whether the relation between ordinal variable and scale variable is monotonic?

I am wondering what correlation measure to use for calculating the relation between ordinal and scale (interval) variable. For using Spearman's rho the relation must be monotonic. I created a ...
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16 views

Repeated measures with ordinal predictor and nominal outcome

My data are repeatedly collected over time, at year 0, year 1 and year 2 (three measurement points). For each subject, I have a predictor of interest which is ordinal with 6 levels, a dependent ...
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33 views

Combination of lme/lmer with clmm2 when running mediation

I was wondering whether it is possible to combine a cumulative link mixed model (clmm2) with the linear mixed model (lme4/nlme) when running a mediation (package mediation). I have been working with ...
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43 views

What are the methods for predicting an ordinal variable?

I am trying to predict age group for each individuals. I have a large data with 63 variables and about 50.000 observations. But I dont know what each variable mean, I have only values. To predict, I ...
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53 views

Mediation analysis for ordinal DV, categorical IV and continuous mediator

I want to do mediation analysis on my data and am a bit confused about how to interpret the results of my analyses. My data looks like this: X = The only IV, which is dichotomous. Y = The only DV, ...
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39 views

types of data (ordinal, interval etc)

I have data from a questionnaire that uses likert scales only. The response options on the scale were regarding frequency, e.g. 'never' 'sometimes' and 'always'. These responses were coded, with ...