`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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Correlation between ordinal and dichotomous variable with repeated measurements

I ask say 50 people to rate 10 statements whether they are true of false (dichotomous answer). The 10 statements were rated concerning the occurrence of specific cues (such as details or emotional ...
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28 views

How to set up neural network to output ordinal data?

I have a neural network set up to predict something where the output variable is ordinal. I will describe below using three possible outputs A < B < C. It is pretty obvious how to use a ...
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statistics test to use with ordinal data [closed]

If a group of people come into a room in a given order one day and we compare with the same group of people coming into the same room on another day and they enter in a different order. Each person is ...
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17 views

Best procedure for evaluating group differences in a Lasso regularized regression

I am evaluating 25 predictors (continuous, ordinal, multinomial) on an ordinal outcome variable using a lasso regularized regression. I am using the lasso for variable selection, to determine which ...
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10 views

Best test for a ordinal and a continuous variable? [closed]

My outcome variable is pain in a 10-pain scale and my independent variable is time (continuous). What is the best test to get a correlation? Thanks!
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1answer
30 views

Parallel regression assumption

In ordinal logit models, do I violate the parallel regression assumption if I include a quadratic term for a nonlinear relationship? Because then it would mean that the coefficients are not in the ...
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12 views

Analysing ordered non numerical data from a survey

I'm working on a social experiment which involves basically asking people to order a bunch of images from best to worst, according to their own opinion. The objective is to select the best (ordered) ...
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17 views

Ordinal Logistic Regression using Fractional Polynomials in SAS

I am looking for Case Studies / Examples where Ordinal Logistic Regression Models ( using Fractional Polynomials for Continuous Predictor Variables ) are implemented in SAS ( SAS Macros )
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2 views

Testing partial measurement invariance with ordinal data, using wlsmv estimation (lavaan/semTools) [migrated]

I want to analyse the partial measurement invariance. I already analysed the measurement invariance by constraining the whole model. Now I want to constrain just one subfactor at the time. I think I ...
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23 views

Linear regression with ordinal scaled variables

A friend of mine is working on a problem set and asked me an interesting question: if we have 2 variables, which are ordinal scaled how to compute a linear regression with those? $$x \in ...
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29 views

Recode ordinary scaled variables

Iam trying to make a linear regression in STATA with ordinary scaled(in dataset): dependant variable(0;10) independant variable(0;10) Does anyone know how can recode the variables into metric scaled ...
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34 views

How to remove spatial autocorrelation in my ordinal regression data

I am trying to deal with complete separation and spatial autocorrelation in an ordinal regression. The study design: We flew two transect lines in a helicopter along a 600 km stretch. Transects were ...
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24 views

Mixed effect partial proportional odds ordinal regression in R

I want to ask if there is a package in R that can fit and more importantly predict a clustered (random effect) ordinal regression with non-proportional ...
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10 views

Testing relationship between a binary variable and an ordinal variable

I want to work out if there is a relationship between having certain characteristics (each coded as 0 if not and 1 if present) and support for a particular policy (measured using a Likert scale which ...
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1answer
44 views

3 values ordinal variable: Mann-Whitney or Chi-squared?

I have an ordinal variable which assumes only 3 values. I need to do a comparison between 2 treatments. I used Mann-Whitney test, since is an ordinal. My "p-value" is quite high (0.9388) which is ...
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1answer
45 views

Should ordinal variables be normalized for PCA?

I need to analyze my (ecological) data with PCA, but the data don't seem to meet the assumption of normality very well. The problem is, that out of my 9 variables only two are continuous and the ...
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25 views

Reporting Results of Mann-Whitney U Test - Means vs Medians

I had a question yesterday that I got a bunch of great responses on. I have, hopefully, a quicker question here. There is a debate in the literature regarding reporting means vs medians in a ...
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26 views

If the options for my likert variable are described with percentages, can I treat it as continuous?

I am conducting research on production quality improvement in a group of different companies. The main question is: "How has product quality changed?" The answer is on a 6 point Likert scale: ...
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28 views

Ordinal logistic regression model set-up for repeated measures

I have been looking for a non-parametric equivalent to a 3-way repeated measures ANOVA, and most of the sources I've read recommend using ordinal logistic regression. My ANOVA model had 3 ...
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10 views

Testing ordinal response, repeated measures

I am interesting in modeling an ordinal response variable with a number of covariates, both discrete and continuous, as well as time-dependent and fixed. Normally, I would use an ordered logistic ...
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32 views

Repeated measures ordinal data analysis SPSS

I'm looking to run an analysis using ordinal data with a repeated measures design, and could do with some advice on how to do so. I'm looking at whether or not extra curricular activity changes after ...
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1answer
23 views

Interpreting Coefficients of a Dummy variables derived from an Ordinal variable

I have a variable that is measure societal complexity (SC) on a 3 point scale. 1 being the least complex and 3 being the most complex, and I think that this can safely be classed as a ordinal ...
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1answer
23 views

Analyse data with ordinal dependent variables, and categorical and interval independent variables

My aim is to see if there is a pattern between demographic features of my customers and the features of the product they most value. The six features of the product make the six dependent variables. ...
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45 views

Interpreting ordered logistic regression in R

Lets say I have a predictor variable with the following values: x <- c(0, 1, 2, 3, 4, 5, 6, 7, 8, 9) I want a piecewise linear model with breakpoints at 3, 5, ...
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Ranked responses across survey questions

We have a set of arthritis disease activity questions. Patients are given a scenario that describes a disease activity level scenario, like (A)"It is not painful to write" or (B)"It is painful to ...
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2answers
60 views

Correlation between two ordinal categorical variables

What is the best statistical test for investigating if there is any correlation between 2 categorical variables? both are satisfaction scores: 1-First variable is: "Overall satisfaction with the ...
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1answer
50 views

Interpret effect of adding random effects to ordinal regression (R - ordinal package - clmm)

I know there are already lots of questions around this topic (especially this one and this one) but I haven't really seen anything that directly helps me (It will be obvious I'm not a great ...
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1answer
26 views

ANOVA, mixed model, or something else, for ordinal groups with a continuous outcome?

Possibly a simple / daft question so apologies in advance... Suppose I have several independent observations of a continuous variable, like height. The observations are grouped, and I would like to ...
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ordinal variables and caret when preprocessing

I have found that many examples in the APM book by Dr. Max Kuhn tend to cover data sets that have continuous variables as the predictor set. If working with a data set that has ordinal factors, would ...
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1answer
26 views

What to do when parallel regression assumption violated

When the dependent variable in a regression model is ordinal, I know that we often use ordered probit/logit to estimate the model. These have an assumption called the parallel regression assumption. ...
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1answer
33 views

Analyze a social flying service

I am writing a dissertation to obtain a Master's degree in Business Administration, but have no solid experience in statistical analysis. I have to analyze data from questionnaire in SPSS and I am ...
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14 views

2 ordinal dependent variables, 2 categorical independent variables - which statistical test?

My data consists of: 2 ordinal dependent variables: participants' rating on A Participants' rating on B 2 categorical independent variables: group (2 groups) item condition (condition A en B) ...
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1answer
86 views

Correlation choice when attribute values are given in intervals

I am trying to find the correlation between two continuous variables but the values of one of them are originally given in intervals ([1-5] ,[6-9],...). What is the best approach to deal with this? ...
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24 views

Distribution of residuals in multinomial / ordinal logistic regression

In simple logistic regression, the standardized residuals are assumed to be normally distributed. Are there any such assumptions for ordinal or multinomial logistic regression? Because in these ...
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1answer
46 views

Measure of association between non-dichotomous ordinal variable and continuous variable

I have to collect and then analyse a large dataset. A particular data input (continuous variable) is laborious to collect and I believe that an ordinal category (1,2,3,4) would correlate closely with ...
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33 views

Ordinal Regression- multiple continuous predictor variables

I am working on a project where I have a dependent variable that is ordinal, and two continuous independent variables. I believe running an ordinal logistic regression is the proper method of attack, ...
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1answer
54 views

Analyzing relationships between ordinal and continuous time series data

I have two sets of time series data - roleTrajectories & normalizedDegree. The former data set contains ordinal rankings of subjects' positions within a network at 13 time periods. The latter data ...
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16 views

How to measure the relative strength among available categories based on their odds raitos?

I have 7 categories (suppose a, b, c, d, e, f, g) and I applied Ordinal logistic regression keeping one as a reference category( suppose here the reference category is g). I want to know which ...
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1answer
31 views

CFA chi-square value ordinal variables

For my thesis I need to know how the chi-square value is computed with a CFA for ordinal variables, using DWLS (preferably in R). I know that for continuous variables the chi-square is computed in the ...
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1answer
123 views

Correlation between two Likert items with a non-monotonic relationship

One of the assumptions for Spearman correlation is that there is a monotonic relationship between the two variables. I've created a scatterplot for two Likert item variables, but it seems impossible ...
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1answer
26 views

ordinal classification using C5.0

My question is about machine learning to predict ordinal variables. Most ML models for classification that I have seen do not make any assumption about the order of different categories. I can see ...
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3answers
45 views

Ordinal variable with 'don't know'

Can a variable that contains 'don't know' as a response be ordinal? For example, say the variable corresponds to responses to the question 'Do you agree with ...?' where the responses are: Agree ...
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34 views

Is this interpretation of mixed ordinal logistic regression correct?

I am doing mixed ordinal logistic regression using clmm function in ordinal package. Before running the clmm model I have changed my DV into ordinal variable using: ...
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1answer
43 views

What statistical test to use to examine attitude and which components have strong/weak influnces on attitude? 4-point Likert Scale survey

This is a quantitative study using survey to examine attitude towards online reading. In the survey, there are 5 main components which contribute to overall attitude. Each component has different ...
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1answer
33 views

Ordinal package: cannot run lsmeans to see all pair contrasts

From the question regarding stats formula to use with mixed ordinal data: Do the residual plot and QQ plot look normal?, It seems like mixed ordinal logistic regression would be appropriate for my ...
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2answers
213 views

Best method to create growth charts

I have to create charts (similar to growth charts) for children of ages 5 to 15 years (only 5,6,7 etc; there are no fractional values like 2.6 years) for a health variable which is non-negative, ...
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2answers
34 views

Ordinal or nominal

I designed a questionnaire regarding teacher readiness to conduct / perform certain tasks other than teaching in the classroom. One of the items included is the period of service of the teacher. Here ...
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1answer
34 views

How do you test for a trend in a series of random variables?

If I want to test whether black mice are heavier than white mice it's pretty easy to set up a t-test where I'm comparing the mean weights of a bunch of mice, but if I wanted to test whether black mice ...
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1answer
20 views

Mean comparison of two categorical variables

I'd like to compare people's perception of safety at a certain location [which is a categorical variable on a scale of 1-10, with 1=feel very unsafe & 10=feel very safe] before and after being ...
4
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0answers
33 views

What is the “pdm” stat in the “rms” R package?

I am new to the world of Regression in statistics and I have been doing a research in which I am building an ordinal logistic regression model (ORM). In order to fit my ORM model, I am using the 'orm' ...