`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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What analysis should we use for repeated measures when some only have the first or second measure?

We're doing a report on a teacher rating system. It finished its second year and in the report we have the percentages of teachers that received each rating (ordinal variable with 4 levels) for each ...
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23 views

Should I analyse data as ordinal or categorical variables?

I am designing an experiment where I take two groups of subjects (healthcare professionals vs patients) through an imaginary narrative scenario as though they were the patient in the story. The ...
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24 views

How to install libsvm extention on Ubuntu? [on hold]

I use libsvm on Linux and it works (although I don't know Linux and I use it only for that). Now, I'm trying to extend svm procedure to deal with ordinal regression as here: ...
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16 views

Regression model selection for gross motor function analysis

I am using the Gross Motor Function Measure (https://www.canchild.ca/en/measures/gmfm.asp) to explore the relationship between age and gross motor function in a cohort of children. I have chosen ...
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2answers
146 views

Can binary data be ordinal?

Binary data is often mentioned as a nominal sub-category, especially in such examples as female/male, smoker/non-smoker, etc. However, binary data with such values as pass/fail, correct/incorrect, ...
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31 views

What level of measurement are names by letters?

A respondent had to correctly recall the name of a character from the scenario. Both the first and the last names consisted of 5 letters each. For each letter, the respondent would get 0.2 points. If ...
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6 views

Problems facing in fitting ordinal regression model on life satisfaction data

While running an ordinal regression analysis of life satisfaction data SPSS, I got the following warning: There are 148 (65.8%) cells (i.e., dependent variable levels by combinations of predictor ...
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1answer
31 views

Gaussian processes ordinal regression in R [closed]

Is there any ordinal regression using gaussian processes implemented in R? I made a research in the Internet, but I didn't find anything.
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23 views

Relationship numerical and categorical multiple response sets in spss

The situation is the following, I have two sets of data: one numerical set of data (answer to the question "How important is this to you?" 1=little, 2= medium, 3= very) one set of categorical ...
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31 views

Ordinal logistic regression in Python

I would like to run an ordinal logistic regression in Python - for a response variable with three levels and with a few explanatory factors. The statsmodels package ...
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1answer
55 views

Ordered Logit regression intrepretation

I hope the image is relatively clear... My dependent variable is the change in people's idea about whether it is a good idea, where it is the support they give to the same question minus the support ...
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12 views

Ranking of Rates of Return as dependent variable

I am working on a study for my university. I am trying to test a model that some companies uses to rank countries as a top-down model for investing. The objective of the model is to rank, explained ...
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6 views

Calling predict after training with polr on multicollinear data

Take a look at the code below. This question has been asked before but shut down - presumably for lack of R code to reproduce the problem. Basically, when there is multicollinearity in the data, ...
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1answer
14 views

Evaluating which factors influences a questionnaire scores

i have this problem to solve. I have a questionnaire of 19 questions, each one has 3 options, and only one for each is correct and it scores 1, while the others scores 0. Thus the max score will be ...
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1answer
41 views

non equal variances alternative for kruskal wallis anova

I have a dataset with a total of about 6 groups set up, and there is a minimum of n=150-200 samples per group. Now when I look at the data, its not normally distributed, and the variances are not ...
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19 views

Developing a statistical index

I have some variables like countable (water consumption in litres per day, medicine intake etc.) and some uncountable variables (mood status, happiness etc.) To develop a happiness index, what kind of ...
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1answer
40 views

Multicollinearity problems with `polr` function in the MASS package for ordinal response [closed]

I've been trying to use the polr function for a couple days now. The dataset has lot of features (~70) and some of them are factor variables. When I run a simple ...
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1answer
33 views

What statistical method to analyze relationship between ordinal and categorical variables?

I am working in my dissertation proposal and need to identify what is the best statistical method to analyze my research idea. I am analyzing a company that sells gps services for vehicles. The ...
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1answer
30 views

Spherical Data?

I am current using cluster analysis. Hierarchical clustering using the ward method appears to be the best method I have found. I read that this method is good for spherical data. I do not know what ...
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1answer
38 views

Ordinal data in regression?

My data is almost only ordinal data. My dependent variable is a 4 point scale: 1 = completely agree 2 = agree to some extent 3 = disagree to some extent 4 = completely disagree I want to use ...
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19 views

how to find an association between nominal and ordinal data? [duplicate]

I have a data of diabetic patient and i want to find any association between their their knowledge, attitude and practice with other variables (around 50) like their gender(dichotomy), type of ...
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1answer
65 views

What type of regression model do I need to use?

I am looking at the relationship between the two concepts of psychological strategy (PS) usage and athlete engagement (AE), looking to see if PS predicts AE as a whole and if certain subscales of PS ...
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1answer
43 views

Perfect separation of two groups but rs is not 1

I have a dichotomous variable (group 1 and 2) and an ordinal scaled variable. The values of the ordinal scaled variable for group 1 are always lower than those for group 2: As I understand it, this ...
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1answer
34 views

Ordinal Dependent Variable and Ordinal Independent Variable. Which test to perform analysis with?

I have a question regarding Ordinal data. I have measured 'Attitude towards a product' using Likert scale and I have measured 'Purchase Intentions to buy the product' also using Likert scale. Now I ...
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13 views

Method for correlating ordinal and continuous data

I have data from several dozen forest inventory plots. Tree canopy cover of each plot was assessed in the field and placed into one of 5 categories (analogous to very high, high, medium, low, none). ...
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30 views

Finding trends from ordinal / likert responses

I have two ordinal variables, ranked on a 1-5 Likert scale, and a categorical variable of age groups. What I would like to is extract significant (or determine and identify the existence of) ...
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42 views

Extracting meaningful demographic data from ordinal / Likert responses in SPSS

I'm currently working on the findings of my Masters dissertation where I've defined hypotheses, created a questionnaire, and then testing whether a relationship exists between different ordinal ...
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1answer
24 views

Why CLMM function for ordinal mixed logistic regression changes the means?

I am using CLMM to run the ordinal mixed logistic regression model as the DV is ordinal number from 1 to 9 (rating scale). First I read the file and change the DV into ordinal using these commands: ...
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1answer
36 views

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 ...
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17 views

Ordered Probit Interpretation

My dependent variable is ordinal from 1-4. My independent variable consists of categories. I haven't created dummies for the categories, but it would be easy to do so. From what I have gathered, an ...
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1answer
51 views

Comparing mean difference of categorical variables

I want to check if attrition is a problem. So I want to check if the mean of people who dropped out from a survey is significantly different from the mean of those people who took part. However, the ...
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16 views

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 ...
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1answer
16 views

Social Sciences: Screening cost-compliance survey

I have a survey in which 500 subjects were asked if they would take a screening test if the cost was free, \$1, \$10, \$50, and \$100. I have information on subjects' age, race, etc. I want to ...
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17 views

Example interpretations of rank biserial correlation?

Could anyone please suggest some reading on rank biserial correlation? I have tried to Google it but I found just a general info on its application without any any example, interpretation, etc.
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3answers
269 views

Is nominal, ordinal, & binary for quantitative data, qualitative data, or both?

I'm getting wrapped around data types and I need some help: If you look at the picture above (taken from here), it has the data types like this: Quantitative (Discrete, Continuous) Qualitative ...
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1answer
24 views

categorical moderator - ordinal iv and ordinal dv

I have found a significant positive correlation between 2 ordinal variables collected from likert scale data (Creativity at work and Engagement at work). I used the non parametric Spearmans rho test ...
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loop ordinal regression statistical analysis and save the data R [closed]

I am relatively new to R. The short version of the data looks ike this: ...
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15 views

Summative likert scale [duplicate]

I am looking for a relationship between two summative likert scale. Each one of them contains 7 items. The scale used for each item consists of 5 points. What is the best tool to use?
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43 views

Nominal or ordinal?

I've got several variables in a dataset of which I'm not really sure what type of data they are: nominal or ordinal. Context: the variables are part of a dataset in which each case a student. Of ...
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13 views

How does the polr command in R handle partitioning variance?

I am using ordinal regression (MASS package, polr command) to analyze ranked coloration data (% piebaldism) of an iguana species based on sex, snout-vent length (SVL), and location. I'm concerned that ...
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20 views

Why logistic and ordinal regression giving same output?

In the following case, both logistic regression and ordinal regression are giving same output. Ordinal regression: ...
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1answer
60 views
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27 views

Validating formative model - statistical analysis

Based upon literature I have developed a model which I want to validate. Data gathering will be done with the use of surveys. My knowledge of statistics, or more the lack thereof, has raised some ...
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1answer
37 views

Guidelines for when you can collapse ordered categorical variables into proportion (ratio) variables?

Please provide suggestions or resources that address the question of "how much is enough" data to transform a set of ordinal outcome variables to a proportion score A single multiple choice question ...
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Obtaining wide Confidence Intervals from a fitting of a model with 2x2 Crossover trial data. Where am I going wrong?

I am doing an analysis of a 2x2 crossover experiment with ordinal output. And it seem that the effect of the treatment (trt) is statistically significant. However my CI are very wide [1.05, 364.23]. ...
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1answer
43 views

linear regression: y “percent”, x “year”?

Is "year" as discrete or continuous variable..? is it proper to use linear regression with "year" (every year from 2009 to 2014) on the x axis and "percent" on the y axis..? Simple question from a ...
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1answer
35 views

1 continuous predictor and a 3 level ordinal outcome

I´m evaluating the impacts of logging in a forest, so my independent variable is the intensity of logging (i.e. trees per area) and my dependent variables are the injuries in the residual trees (the ...
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38 views

scale & why normality does not matter

So I was looking at the world happiness report 2013. In most of their questions they used "0 to 10 end-labelled scale". So ya, basically "0, 1, 2,.., 9, 10". I understand that these kind of scale data ...
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1answer
45 views

Why does my not statistically significant regression get significant when adding my crucial x-variable?

Short background. My regression consist of both micro-level data (individual data collected by survey, up to 60 000 observations) and macro-level data (national macroeconomic statistics such as ...
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27 views

Some categories never predicted in ordinal logistic regression model

SUBJECT: Some of the predicted categories missing in the ordinal logistic regression output In my ordinal logistic regression model, I have a set of 7 inputs and I have Y = 2, 3, 4, ..., 19 (18 ...