`ordinal` refers to data that have an order but not necessarily equal spacing between levels. It can also refer to ordinal logistic regression.

learn more… | top users | synonyms (1)

1
vote
1answer
35 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 ...
0
votes
0answers
11 views

ordinal dataset modeling [closed]

I need to come up with acceptance criteria (95 or 97% interval for individual population values) for a process that is characterized by an analytical test for one of the components that results in ...
1
vote
1answer
26 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 ...
0
votes
0answers
21 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 ...
0
votes
1answer
41 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 ...
1
vote
0answers
17 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 ...
0
votes
0answers
3 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 ...
0
votes
1answer
21 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 ...
0
votes
0answers
21 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 ...
0
votes
1answer
31 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 ...
0
votes
0answers
21 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. ...
1
vote
0answers
22 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 ...
0
votes
0answers
9 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 ...
0
votes
0answers
10 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?
2
votes
0answers
5 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 ...
0
votes
0answers
16 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 ...
1
vote
1answer
37 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 ...
0
votes
1answer
19 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 ...
2
votes
0answers
64 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 ...
0
votes
1answer
58 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 ...
0
votes
0answers
22 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 ...
0
votes
2answers
62 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). ...
3
votes
1answer
35 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) ...
0
votes
0answers
27 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 ...
1
vote
1answer
56 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 ...
2
votes
1answer
72 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 ...
0
votes
1answer
63 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 ...
0
votes
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? ...
0
votes
1answer
10 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 ...
1
vote
0answers
8 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 ...
0
votes
1answer
20 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 ...
2
votes
0answers
40 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) ...
0
votes
0answers
20 views

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 ...
3
votes
0answers
49 views

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, ...
8
votes
4answers
335 views

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' ...
0
votes
0answers
44 views

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 ...
0
votes
1answer
71 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 ...
0
votes
0answers
25 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 ...
0
votes
0answers
20 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 ...
0
votes
0answers
15 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 ...
0
votes
0answers
13 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 ...
0
votes
0answers
42 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 ...
0
votes
0answers
39 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 ...
4
votes
1answer
95 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 ...
0
votes
0answers
13 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) ...
0
votes
0answers
28 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 )
1
vote
0answers
31 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 ...
0
votes
0answers
34 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 ...
0
votes
0answers
65 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 ...
0
votes
0answers
52 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 ...