`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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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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20 views

Extracting meaningful demographic data from ordinal / Likert responses in SPSS [on hold]

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
11 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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9 views

Nested ANOVA for ordinal data or random effects [R]

My objective is to find an assotiation between levels/presence of heavy metals in trees and the park where they are located. Also find a possible interaction between heavy metals and parks. To do so, ...
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1answer
30 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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9 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
35 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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3 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
12 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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10 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
164 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
20 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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12 views

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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12 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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40 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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12 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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17 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
49 views
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26 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
35 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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15 views

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
40 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
32 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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35 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
43 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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23 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 ...
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6 views

How can I test the slope difference in generalized mixed model with ordinal response

I have fitted a generalized mixed model with ordinal response in SAS. The link function is a cumulative logit. There are three covariates are ...
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1answer
36 views

Comparing variability of likert scale answers beyond IQR

I am analysing a simple study where users were asked questions on 5-point likert scales. I use interquartile range (IQR) to assess the variability in the answers of the respondents. In particular, I ...
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23 views

Interpreting margins of dummy variables [duplicate]

I have estimated an ordinal probit model in Stata. The dependent variable is walkability. The main independent variables are on a Likert scale (1=agree, 2=partially agree, 3=disagree). The other ...
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1answer
33 views

Ordinal Logistic Regression Predicted Probabilities

I'm looking for a way to produce a matrix of predicted probabilities on data that went through SPSS's logistic regression test. I only use two ordinal variables with a range of 1-4 and 1-10 ...
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23 views

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] for a number of users over groups of audio excerpts was collected. ...
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31 views

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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13 views

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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13 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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15 views

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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19 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
33 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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138 views

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
139 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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36 views

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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2answers
74 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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1answer
40 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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40 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
64 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
108 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
81 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
31 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
15 views

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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10 views

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
30 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 ...