`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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Rejecting subjects based on retest analysis

Are there objective criteria for rejecting subjects based on a test-retest analysis? Perceptual data on a discrete scale [1,...,9] was collected. For the main analysis, non-parametric methods were ...
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Testing interactions with non-normal ordinal data

I am testing a hypothesis in which my scale DV (PSS) is predicted by an interaction between an Ordinal DV and a scale IV. The ordinal IV is TF (Total Freq) The scale IV is and PQM (Practice ...
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22 views

ordinal probit model and odd ratios [closed]

For my final paper i am working on an ordinal probit model. The data has been collected through a survey. I have read literature regarding this model (agesti, long and freese, greene) however there ...
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formal tests for ordinal probit model

What are the basic post estimation tests for an ordinal probit model? How do we check parallel line assumption for ordinal probit model? the omodel comand of stat only works for probit model, i have ...
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9 views

Categorical data and different analyses

Why does categorical data have different tests? I know there are many tests for categorical data such as a crosstabs or Chi-Square but why does the data use different tests?
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How to test the inter-rater reliability of a nominal coding process that generates ordinal data?

A researcher studying hunger on a tropical island asks respondents, "What did you eat for lunch yesterday?" and the possible choices are "(4) Nothing; (3) a banana; (2) an unripe coconut; (1) a ripe ...
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14 views

I am looking to find the correlation score for 2 ordinal variables with a different number of categories

I am trying to find a simple correlation score for 2 ordinal variables from the NSYR data set: MEANLIFE from National Study of Youth and Religion, Wave 1 (2003) Y93. How often, if at all, do you ...
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1answer
31 views

Post-estimation tests for ordinal probit [closed]

I have performed an ordinal probit model in Stata and have 2 queries: The parallel line assumption test (run by oparallel or ...
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1answer
18 views

Analyzing multiple, within-subjects, non-independent ordinal rankings

So I'm working with some previously collected data where participants (N=139) were asked to rank 3 types of events (1 being best, 3 being worst) for 6 separate scenarios. The question of interest is ...
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How to perform a test for trend on an ordinal variable in logistic regression?

I have a dichotomous outcome (gallstones/no gallstones) and an ordinal predictor variable consisting of four classes (body mass index <25(ref.), 25-30, 30-35, 35-45). I want to perform a test for ...
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1answer
38 views

Confused with SPSS ordinal regression output

I'm a bit (actually, totally) confused with SPSS ordinal regression output. Let say we have dependent variable score=1,2,3,4,5 (higher is better) and one predictor gender=male,female. We run Ordinal ...
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Mediation analysis with Likert scale mediator

For my master's thesis, I need to conduct a mediation analysis. My independent variable is the condition assigned, with three different conditions: high income, low income and neutral. I coded the IV ...
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51 views

Discrete choice model

I have a ordinal probit model. The dependent variable, say walkability, is a Likert scale variable (1,2,3). The main independent variable, say connectivity, is also a Likert scale variable (1,2,3). ...
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34 views

Interaction term

I wanted to ask about interaction term. I am having an ordinal probit model. The two of the independent variables that i have are discrete 1-Uni( a 0,1 dummy variable) and second is continuity (1,2,3) ...
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25 views

PCA on nominal-ordinal data

I am trying to "decorrelate" two variables: one is binary categorical (cluster assignments) and the other one is ordinal (0 to 4 ratings). I have browsed around and came across Nonlinear principal ...
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1answer
50 views

Transforming continuous variable to ordinal for estimation with ordered logit

I currently have a continuous variable. However, I would like to transform it into 5 intervals using cutpoints of my choosing to carry out an ordered logit estimation. That is: Will this affect ...
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1answer
54 views

How to assess if a model is good in multinomial logistic regression?

I have some ordinal response $y$ that I modeled using both ordinal logistic regression and multinomial logistic regression (to avoid the proportional odds assumption), using two continuous variables ...
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1answer
56 views

Confidence intervals for ordered probit [closed]

I'm attempting to compute confidence intervals for an ordered probit. I am a graduate student and it was suggested as one of the tasks to add to my final paper. I have found a few papers discussing it ...
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1answer
27 views

Regressing a 7-level ordinal variable using linear regression in a sample of 1000

I have a dependent variable which has responses on scale of 1-7 and i am regressing it against the variable which are continuous and categorical in nature. is using linear regression even appropriate? ...
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1answer
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The best method to compare survey response? [duplicate]

What would be the best method to compare to products on a question rated 1-7? The current technique being utilized in my team is compare mean for the 2 groups using F test. but doesn't it violates ...
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Influence function for inequality index using ordinal data

I wonder whether it is possible to derive influence function (explained for example here: Influence functions and OLS) for an inequality index designed for ordinal (non-continuous) data in this ...
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1answer
16 views

writing ordinal probit model equation

assyme the following function walkabality f(conectivity, gender, age, uni, conectivityuni) where wallkability is a dep ordinal variable (1-3 i.e agree, partially agree, disagree) gender m agem uni are ...
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36 views

Analyzing ordered factor vs continuous variable

I have data of 50 students of a class as follows: build : an ordered factor with levels 'low', 'medium' and 'high' score : a continuous variable (values 1-9) ...
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Comparing two groups of ordinal survey data?

I am trying to compare two (theoretical) independent groups of surveys with a 5 point ordinal scale (1 - greatly disagree, 5 - greatly agree). Both group A and group B received the same 10 questions ...
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OLS with ordinal dependent variable - do the coefficients mean anything?

I currently read a paper in which the author has asked people 3 different questions regarding their life satisfaction, all of which are to be rated on a four point scale: 1) very low, 2) low, 3) high, ...
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Develop a statistical test to distinguish two products

I have a data set from a customer survey, I want to deploy a statistical test to see whether there is significance difference between product 1 and product 2. Here is a data set of customers' ...
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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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1answer
67 views

What test(s) should I use to compare 2, non-normally distributed populations with unequal variances? (IV is 2 categories; DV is ordinal)

I'm a bit stumped as to what test(s) is/are most appropriate for the following scenario. I found a couple of similar questions but wasn't sure if the answers applied. For a report I am working on for ...
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21 views

Model selection (BIC / AIC) ordinal multilevel model containing a factor score and/or part of the factor

I am building a ordinal multilevel model (Stata 13.1; meologit-command). At this stage I am trying to conduct my model selection using the BIC / AIC. I estimated several models and now I need some ...
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18 views

what statistical test should i use? ordinal dependent and IV

I have a subset of strains, number of factors possessed is counted in 0, 1, 2, and 3. and at the same time the MIC of the strains measured in 1, 2, 4, 8, 16........ was done. I would like to examine ...
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14 views

Distribution-specific variance component to use with R-squared for ordinal logistic GLMM

I think this should be straightforward, though I cannot find an answer after digging around a lot within work by Nakagawa et al. on $R^2$ values for GLMMs. My question is similar to that posed before ...
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10 views

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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37 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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35 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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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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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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24 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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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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31 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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54 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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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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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
54 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
64 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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2answers
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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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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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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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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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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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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 ...