"Ordinal" data refers to data with values categorical yet underlying quantitative: the categories can be ordered by magnitude, but the exact magnitude of the spacing between them is undetermined. [Not to be confused with binned interval data where the spacing is known.] Special kinds of analysis ...

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CFA power analysis using existing Likert-type data with lavaan and simsem in R

To preface, this is my first foray into CFA and SEM, so please forgive me as I am likely making a number of unwitting mistakes. I am currently working on a study to validate a proposed psychometric ...
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13 views

Correlation between reaction times and ordinal ratings

I conducted a psychological experiment and now I'm starting to evaluate the data. During evaluation I found something, that looks like a correlation between reaction times of one task and ordinal ...
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11 views

Pearson r or Spearman correlation to use for ordinal variable with interval variable?

I need to establish correlation coefficients between an independent ordinal variable (the scores are computed with the use of Likert scales) with an interval dependent variable (test scores). May I ...
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1answer
38 views

Identifiability of ordered regression cutpoints

I have an ordered regression model as described in ?polr: The ordered factor which is observed is which bin Y_i falls into with breakpoints zeta_0 = -Inf ...
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2answers
36 views

Help interpreting interaction terms in proportional cumulative logistic regression- ordinal regression

I am using the polr() function in R to analyze the relationship between a students score on their first exam, their score in their prerequisite course, and their beginning of semester GPA on their ...
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1answer
29 views

Regression technque to use for continuous data behaving like ordinal

I am trying to create a model to explain/predict fulfillment ratio of a product by a store i.e orders placed divided by orders delivered.The QQ-plot of the fulfillment ratio is: The QQ-plot of the ...
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19 views

ANCOVA with ordinal covariate?

My study looks at the effects of sex on performance in a psychological task. There are 3 variables: sex (m/f), plus 2 within-subjects factors (with 2 and 3 levels), so it's a 2x2x3 repeated-measures ...
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15 views

simple statistical test for longitudinal ordinal data

New researcher here. What statistical test do I use to compare scores (on the general self efficacy scale) over time (12 times total including pre-test) to test a single intervention? It's a simple ...
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13 views

Testing Proportional Odds Assumptions

I am working in R with a response variable that is the letter grade the student received in a specific course. The response is ordinal, and, in my opinion, seems logically proportional. My ...
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1answer
42 views

Is there any conventional small, medium and large effect sizes for ordinal logistic regression?

I was performing a power analysis of articles published in a journal of management using the pwr package in R. However, it seemed to be impossible to compute power ...
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22 views

Deep Learning for Ordinal Classification

Can we use any of the various types of Deep Neural Networks for Ordinal Classification? If yes, then how? If no, then what is the limiting problem? I know that CovNets with a softmax output can be ...
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12 views

How to get correlation of each predictor to response

I am wondering how can I get the correlation from one predictor to a repsonse when I am looking at a given data set with many predictors. For example, the output of GLM in R would be exactly what I ...
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1answer
34 views

Selecting a loss-function for k-fold cross-validation over shrinkage parameter

I am doing a penalized regression with categorical (ordinal) outcomes. I would like to select the shrinkage parameter $\lambda$ on the basis of cross-validation (CV). In this case, I have 50k ...
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16 views

testing multiple paired ordinal measures

Please give me advice on a robust way to evaluate multiple ordinal measures. I have a group of n subjects who have a treatment for spasticity (abnormal muscle stiffness). A measure of spasticity is ...
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31 views

Can I use proportion data and continous data for estimate of Spearman' s rho ? what if monotonic relatioship does not come out for a dataset ?

I want to use Spearman's rho test on proportional data for one variable and continuous data for the second variable (e.g. % survival of fish related to concentration of arsenic)? Further I want to ...
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0answers
12 views

Nonparametric test for discovering a unimodal distribution?

I am doing a literature review. I want to count how many times a given HCI concept has been found to have some effect (strong, medium, weak or none, with negative effects that's an ordinal scale with ...
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1answer
41 views

Negative coefficients for ordinal logistic regression in R

I am trying to model my dependent variable (ordinal - three levels) using a set of independent variables (5 ordinal and 10 numeric). I am using lrm function in ...
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0answers
26 views

How to deal with failing the proportional odds assumption in ordinal logistic regression

I am attempting to do ordinal logistic regression but I keep failing to pass the proportional odds assumption. Almost all of my features are shown to have high significance, but the only model that I ...
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1answer
41 views

How can I combine nominal with ordinal data to build a unique variable?

I performed an Interview with 44 questions Protocol. The structure of questions is based on 18 variables. Major variables are coming from theory. Every major variable consists of 3,4 or more question ...
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15 views

What is the way to report effect size for an ordinal logistic regression?

I am very new to working with ordinal logistic regression models and I was wondering what is the best/most appropriate way to report effect sizes for these models. I am using the polr function from ...
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13 views

How to perform a multivariate-regression on all ordinal variables

I'm trying to do some analysis on the effect of the economy on voting behavior for my undergraduate dissertation. I am relatively new to statistics and trying to get to grips with it, but currently ...
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11 views

How to interpret coefficients in ordinal logistic regression with partially relaxed proportional odds/parallel lines assumption?

Suppose I estimate an ordinal logistic regression model: $Y$ ~ $\beta_1X + \beta_2Z$ where $Y$ is the ordinal-scale dependent variable with $y = 1, 2...k$ responses. $X$ and $Z$ are independent ...
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1answer
167 views

Ordinal Logistic Regression - Strange Results

I've been having struggling with the analysis of ordinal categorical data that I have (against 3 binary categorical explanatory variables). The problem is that for one of my data sets,running ordinal ...
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3answers
42 views

Use categorical variable vs create dichotomous variable for each one?

I would like to know whether I should/shouldn't split a categorical variable into separate dummy variables for an OLS regression. For example, I am regressing income on education using data from the ...
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1answer
99 views

Why can't we use linear regression for discrete Y?

This text is from An Introduction to Statistical Learning with Applications in R(by • Gareth James • Daniela Witten • Trevor Hastie • Robert Tibshirani) List item Can anyone help me by making linear ...
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1answer
39 views

Ordinal outcome survey regularization and variable selection

I am analyzing some survey data with many thousands of respondants. My main dependent variable of interest is a three-level Likert scale (very/pretty/not-so-much). I have ~50 predictors. I would like ...
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1answer
47 views

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 ...
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37 views

R CLMM: Reaching Iteration Limit for Random Effects

I have a dataset with the characteristics of 10001 applications from a major app store. The apps have been repeatedly observed for 14 weeks. In total I have 140014 observations. (There are missings ...
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1answer
34 views

Popular (single) imputation methods for ordinal variable

I am setting up a monte carlo simulation study in R for a comparison between several imputation methods for ordinal variables. So far, I am planning to use the following imputation methods: Multiple ...
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26 views

Correlation between interval and ordinal data

I am performing analysis to establish the correlation between personality (self-rated) and competency performance (line manager rated). The personality domains are the 'Big 5' and have been created ...
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21 views

Correlation between Ordinal scale and multiple response question/ tick all that apply

I am trying to correlate the Ordinal scale variable, that is: Mother's education( Lower, Medium, and High) with the "career choice question, with multiple response option (tick all that apply).... How ...
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1answer
27 views

multinomial and ordinal regression

Given a set of objects $\{x_1,x_2,\dots,x_n\}$ we can define an order to them and re-arrange them in that order. For example, if $n$ objects in the set and we define the object $x_i$ to be the integer ...
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26 views

What analysis should be applied to this survey?

I conducted a survey where I presented the participants a advertisement strategy. They could answer the questions: a) What is your general acceptance b) Does your acceoptance increease when X (for ...
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2answers
66 views

Ordinal or binomial regression?

I have designed a question and now intend to use SPSS to analyse the results: My dependent variable is: intention to vote. Yes or No. My independent variables are: a series of question ranked on a ...
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31 views

Should I treat my data as ordinal or interval?

I conducted a survey where I asked respondents how much they reduced their financial overhead, based on the following options: 0% (coded as 0 in my dataset) 1-10% (coded as 1) 11-25% (coded as 2, ...
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16 views

Using ordinal variable as continuous variable in MLM

In this post, Can I use multiple regression when I have mixed categorical and continuous predictors?, it is stated that you can use an ordinal IV as a continuous IV in a multilevel model. Does anyone ...
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1answer
40 views

Measure of Association between two Ordinal Variables

I have two ordinal variables. One is independent and the other one is dependent variable. I would like to test if there is monotonic relationship between these two or not. I am using Somers' d measure ...
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45 views

Calculating confidence intervals for ordinal logistic regression predictions

I'm looking to plot the predicted probabilities for an ordinal logistic regression for a 3-level factor with confidence bands around the prediction lines. I'm struggling with the proper way to ...
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1answer
36 views

Ordered Logit Versus OLS

I have an ordinal dependent variable. (I am looking at state bond ratings.) It ranges from 1 to 9. The 1st quantile value is 7-- so it is highly skewed with very few low values. I understand ...
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22 views

Skewed data and ordinal regression

The following plot shows the data I have. Each point indicates the number of actions (x-axis) and the number of different categories (y-axis) on which the actions are performed by a given user. The ...
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82 views

How to transform ordinal categorical income into a continuous variable?

I have a large data set including an ordinal categorical income variable and want to transform this variable into a continuous variable. I want to perform a simulation study with the dataset and ...
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0answers
20 views

is it necessary to create dichotomous dependent variables to test for proportional odds for ordinal regression?

I have a data set that contains variables collected using a set of likert scales. I want to do a separate ordinal logistic regression with age, gender, and income as the independent variables and each ...
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42 views

Categorical Principal Component Analysis

I am planning to perform a Categorical Principal Component Analysis, I have 14 variables with categorical ordinal data (from a 5 point likert scale) and one variable with categorical nominal data. ...
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1answer
25 views

How to do correlation in multiple ordinal variables?

I have five likert scaled variables (with 5 categories each). Variable 1-4 meassure one construct (let us say love) and will be the independent variable. Variable 5 will be the dependent variable. Now ...
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1answer
41 views

How to perform ordinal regression with rank-based dependent variable?

I have a dataset I'm about to use for some preliminary testing. However, I've stumbled onto a puzzle which I cannot seem to figure out. ...
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0answers
12 views

Level of significance for qualitative ordinal data

I have three sets of qualitative data (n=20). Each has four categories (0,1,2,3) with the data shown in percentage. What would be the best way to show if the differences between them are significant? ...
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0answers
16 views

Explaining a dichotomous variable with ordinal covariates and repeated measurements

I would like to predict a dichotomous variable Y with five ordinal variables X1, ..., X5. I have about 50 individuals to do that, and no missing data. But the study is a combination of ...
3
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1answer
40 views

Correlation between ordinal and ordinal variables

My study is aim to show the correlation between the Prostate MRI Scoring and Prostate Pathology Gleason Scores. For prostate MRI Scoring system (PIRADS) we score lesions according to their MRI finding ...
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47 views

Post hoc analysis following clmm (ordinal) with nested effects

I have conducted an experiment to investigate whether a painful stimulus affects the time taken to feed in snakes. I have three treatment groups: AO (anaesthetic only), CS (chemical stimulus) and SS ...
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How to perform Polychoric Correlation with non-normal distributed variables

I want to perform a polychoric correlation on non-normal distributed underlying variables (which are in my case likert scaled). According to Joakim Ekström ("A ...