`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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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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How to use ordinal data for statistical analysis for two variables

my research work is on slum health. I did a survey in the whole slum for assessing efficiency of the Health centers. There are 24 questions for Govt. hospital and private hospital each. The questions ...
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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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15 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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19 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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16 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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29 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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30 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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13 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 ...
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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' ...
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43 views

Checking the proportional odds assumption holds in an ordinal logistic regression using polr function

I have used the ‘polr’ function in the MASS package to run an ordinal logistic regression for an ordinal categorical response variable with 15 continuous explanatory variables. I have used the code ...
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39 views

Comparing medians from two groups

Hi: I have a survey where respondents were asked to rank a series of statements in terms of how much they agreed with them. There were seven statements. So, for each of seven statements, each ...
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1answer
44 views

Curvilinear relationship between two Likert-Scales - is there any coefficient to measure it?

I have two Likert-scale variables, that values vary from "strongly disagree" to "strongly agree". Somehow I know, that many people who stronly disagree on the first scale, strongly agree on the second ...
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35 views

What is a continuous variable in statistics?

Continuous variables can be split into three categories according to statements over here: http://www.unesco.org/webworld/idams/advguide/Chapt1_3.htm. One category is Interval - scale Variables. It ...
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90 views

How to implement ordinal logistic regression for a factorial design

I have read a few answers (e.g. this, this and this) recommending to use Ordinal Logistic Regression (OLR) as a generalized method when Kruskal-Wallis is not suitable. For instance, a 2x2 factorial ...
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20 views

Regression to chose questions which better correlate with a 10 points likert like score

We have a survey with several questions with 5 likert scale points and we would like to compare the answers to those of another likert like question with 10 points. The approach we thought of is a ...
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12 views

Effect of independent nominal variables on dependent nominals

I was assigned to decide if two independent variables (musical mode and tempo - nominal, both with values 1,2 or 3) have effect on various dependent variables (such as brand attitude - ordinal, with 4 ...
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37 views

GAM and ordered probit regression in R

I want to check the fit of the ordinal probit regression model with the help of GAM (generalized additive models). There are plenty of examples how to construct GAM for dichotomous responses in R. ...
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37 views

How to calculate correlation between two independent sets of ordinal variables from an online survey through SPSS

I have a survey conducted. Each responded has answered two sets of ordinal questions. Positive answers in one set would normally be reflected as positive answers to other set. I need to find the ...
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R programming, correlation of quantitave variables with one qualitative variable

I have a flat CSV file that has one column of student names, one column of grades (outcomes) coded as a factor A-F, and about 100 columns of test scores (independent variables) of various sorts, on ...
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41 views

Regression model for ordinal dependent variable and catogrical independent variables

If I'm using R, which regression model should I use for my dataset? (I need to get the R-squared value.) I have 1 dependent variable and 6 independent variables as follows: 1 dependent variable: ...
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32 views

Diagnostics for multinomial and ordinal regression models

In the case of a binary outcome and a number of explanatory variables, logistic regression can be used and a number of diagnostic tools can be applied to assess the relative (e.g. AIC, if one wishes ...
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30 views

Ways to test bar charts with few bars to see if they come from the same distribution?

I have survey data with ordinal/categorical data. Most of the time the answers to question are Yes/No. I want to compare the bar charts (normalized) of yes/no from participants who gave a particular ...
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81 views

Factor analysis on non normal data ( Ordinal data of Likert Scale) [duplicate]

How to check the normality of data collected on 5 point Likert scale? As it is ordinal numbers not continuous. Using SPSS the Shapiro Wilk or Kolmogorov-Smirnov test indicate my data is not normal. ...
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Compare two items when rated by ordinal variables

This question was spurred by one of those tech support sites that asks at the bottom "rate how helpful this article was" and allows you to rate the article 5 for very helpful and 1 for not helpful at ...
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multimodel inference when using rms package

I would be glad to have some advise about how to proceed with multimodel inference to obtain weighted estimates based on AICc after running ordinal logistic analyzes with "rms' package. I used the ...
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Comparing treatment vs control for ordinal data, controling for potential confounders?

I am new here so bear with me. I have two groups, Intervention and Control. Patients have answered the question: How are your back problems now compared to before treatment? Much better, ...
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61 views

Jonckheere-Terpstra Trend Test Use and Effect Size

I would like to find out if there is a statistically significant increase among four groups. I have 4 ordinal groups (ex group 1 is count 1-20, group 2 is count 21-30 etc) and I have data for each of ...
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38 views

Net Promotor Score (NPS) - Ordinal or Interval?

I have a DV (NPS) on a "1 = not likely at all" - "10 =extremely likely" scale. My two IVs are on an ordinal scale (1-3 with N/A option). Would like to run a regression, but not sure which regression ...
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64 views

Is the linear probability model generalisable to ordered logit/probit regressions?

I have a set of data where the dependent variable is an ordered response with 7 levels and I've fitted an ordered logit model to the data, and now I want to conduct some robustness checks on the ...
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19 views

Ordinal variables relation analysis [duplicate]

I have a data set containing 10 subjects and students' grades in those subjects (e.g., A+, A, B+, B, C+, C, D+, D). I want to find out out if the grades in one subject are affecting the grades for ...
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492 views

Is the sum of a number of ordinal variables still ordinal?

I have performed a survey where I have a number of questions which can be answered Strongly Agree, Agree etc. to Strongly Disagree. Some of the questions have been designed to measure the same thing. ...
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25 views

Can I transform ordinal data into pseudo-metric?

I have 150 participants from a study, and there are numerous variables involved. I have completed all the stats other than those involved for one hypothesis. Basically, I have two dependent variables ...
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28 views

Category prediction in ordinal regression

This could be a naive question. I have three slabs for my dependent variable.. i.e three ordered categories. I have equal no. of observations in all the three categories. But when the observations ...
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Testing correlation between multiscaled rank-ordered variables

I aim to test correlation for the following rank ordered ordinal variables : 1st set of variables - Total 4 ( These are reduced variables using PCA from original 10 variables to 4, ranked on a ...
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35 views

How to predict 4 dependent ordinal DV from 6 ordinal/nominal IVs

My question is simple. I got 4 ordinal variables and I wish to investigate the extent that other 6 ordinal/nominal variables predicts their values. I know that ordinal regression is the appropriate ...
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comparing two ordinal variables by different groups

I have question. I have two groups, like students above 40 and between 24-40 (variable name :student) Also I have 2 different ordinal variables like (education: primary through Phd) and life ...
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Variable types and level of measurement

I am trying to fit the different variables types and measurement levels into some logic, like a tree diagram, and I am not sure about some things. On one hand, you have quantitative variable vs. ...
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Hierarchical ordinal regression (or ranking) with prediction constraints on clusters?

I am interested in predicting an ordered outcome of 0,1,2 or 3 (0<1<2<3) for individual responses in a bunch of different clusters. In each cluster $i$ of size $n_i$ there is a single 3, 2 ...
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difficulties evaluating if a ordinal multnomial model fitted with polr (in Rstudio) can be used for predicting over new data

I'm getting very different output when i perform a multinomial ordinal model depending on wether I scale or not my data first. Anyone could tell me why? Here are the results with raw data: ...
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1answer
118 views

Manual calculation of ordinal logistic regression probabilities - starting at different comparison

I am having a little issue with manually calculating some predicted probabilities from a ordinal logistic regression (I am doing this as a learning exercise - I am aware I don't have to do this ...
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32 views

Power analysis for repeated measures design with ordinal response

I am designing a randomised pretest-posttest trial for which I'm trying to do a sample size calculation. My brain is about to explode from confusion, so I hope someone can help me. Just a little ...
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55 views

Quantify shift between different categories

Let us consider a ordinal variable with four values say A,B,C,D (A greater than B greater than C greater than D) and a person can have any of these values at a given point in time. I have data which ...
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57 views

Alternatives to proportional odds mixed effects models

I was doing some reading about categorical data analysis (e.g. Agresti (2010): Analysis of Ordinal Categorical Data). Additionally to analysing data with an ordinal response with the help of ...
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1answer
191 views

Interpreting odds ratio of an ordinal regression when independent variables are negative percentages

I'm trying to express the results of an ordinal regression with a certain "perspective", and I'm confused. My dependent variable is an ordinal representing the progression in a scale of negative ...
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1answer
66 views

Imputation model: Pooled model is insignificant. How to interpret?

I have ordinal data on three IVs ranging from 1 to 5 as below: IV1: Not at all Important - Very Important IV2: Not at all Satisfied - Very Satisfied IV3: Performs much Worse - Performs much better ...
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98 views

Can I normalize Ordinal Data

I have ordinal data on three IVs ranging from 1 to 5 as below: IV1: Not at all Important - Very Important IV2: Not at all Satisfied - Very Satisfied IV3: Performs much Worse - Performs much better ...
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44 views

Normalized likelihoods

AIC (BIC) model selection methods are widely used. These methods can select non-nested models unlike likelihood ratio type selection that requires model to be nested. The AIC has definition ...
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62 views

How to analyze full-factorial within-subject experiment with ordinal (likert) data?

How can I analyze an within-subject full-factorial experiment with ordinal data from likert scale (with repetitions)? I would greatly appreciate your help. Study design Here is a description of the ...
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Which Analysis to use? Likert Scale

I have 3 independent variables (1-5 Likert Scale) questions and I want to check how well these three can predict/explain my DV (1-5 Likert scale) The three independent variables are: 1. Quality of ...