`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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Interpreting ordered logistic regression in R

Lets say I have a predictor variable with the following values: x <- c(0, 1, 2, 3, 4, 5, 6, 7, 8, 9) I want a piecewise linear model with breakpoints at 3, 5, ...
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Ranked responses across survey questions

We have a set of arthritis disease activity questions. Patients are given a scenario that describes a disease activity level scenario, like (A)"It is not painful to write" or (B)"It is painful to ...
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54 views

Correlation between two ordinal categorical variables

What is the best statistical test for investigating if there is any correlation between 2 categorical variables? both are satisfaction scores: 1-First variable is: "Overall satisfaction with the ...
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31 views

Interpret effect of adding random effects to ordinal regression (R - ordinal package - clmm)

I know there are already lots of questions around this topic (especially this one and this one) but I haven't really seen anything that directly helps me (It will be obvious I'm not a great ...
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15 views

ANOVA, mixed model, or something else, for ordinal groups with a continuous outcome?

Possibly a simple / daft question so apologies in advance... Suppose I have several independent observations of a continuous variable, like height. The observations are grouped, and I would like to ...
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ordinal variables and caret when preprocessing

I have found that many examples in the APM book by Dr. Max Kuhn tend to cover data sets that have continuous variables as the predictor set. If working with a data set that has ordinal factors, would ...
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14 views

What to do when parallel regression assumption violated

When the dependent variable in a regression model is ordinal, I know that we often use ordered probit/logit to estimate the model. These have an assumption called the parallel regression assumption. ...
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1answer
25 views

Analyze a social flying service

I am writing a dissertation to obtain a Master's degree in Business Administration, but have no solid experience in statistical analysis. I have to analyze data from questionnaire in SPSS and I am ...
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2 ordinal dependent variables, 2 categorical independent variables - which statistical test?

My data consists of: 2 ordinal dependent variables: participants' rating on A Participants' rating on B 2 categorical independent variables: group (2 groups) item condition (condition A en B) ...
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1answer
41 views

Correlation choice when attribute values are given in intervals

I am trying to find the correlation between two continuous variables but the values of one of them are originally given in intervals ([1-5] ,[6-9],...). What is the best approach to deal with this? ...
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22 views

Distribution of residuals in multinomial / ordinal logistic regression

In simple logistic regression, the standardized residuals are assumed to be normally distributed. Are there any such assumptions for ordinal or multinomial logistic regression? Because in these ...
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1answer
30 views

Measure of association between non-dichotomous ordinal variable and continuous variable

I have to collect and then analyse a large dataset. A particular data input (continuous variable) is laborious to collect and I believe that an ordinal category (1,2,3,4) would correlate closely with ...
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18 views

Ordinal Regression- multiple continuous predictor variables

I am working on a project where I have a dependent variable that is ordinal, and two continuous independent variables. I believe running an ordinal logistic regression is the proper method of attack, ...
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39 views

Analyzing relationships between ordinal and continuous time series data

I have two sets of time series data - roleTrajectories & normalizedDegree. The former data set contains ordinal rankings of subjects' positions within a network at 13 time periods. The latter data ...
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How to measure the relative strength among available categories based on their odds raitos?

I have 7 categories (suppose a, b, c, d, e, f, g) and I applied Ordinal logistic regression keeping one as a reference category( suppose here the reference category is g). I want to know which ...
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1answer
25 views

CFA chi-square value ordinal variables

For my thesis I need to know how the chi-square value is computed with a CFA for ordinal variables, using DWLS (preferably in R). I know that for continuous variables the chi-square is computed in the ...
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1answer
71 views

Correlation between two Likert items with a non-monotonic relationship

One of the assumptions for Spearman correlation is that there is a monotonic relationship between the two variables. I've created a scatterplot for two Likert item variables, but it seems impossible ...
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1answer
19 views

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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3answers
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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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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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1answer
28 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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1answer
19 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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2answers
185 views

Best method to create growth charts

I have to create charts (similar to growth charts) for children of ages 5 to 15 years (only 5,6,7 etc; there are no fractional values like 2.6 years) for a health variable which is non-negative, ...
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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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1answer
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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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1answer
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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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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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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
53 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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1answer
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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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1answer
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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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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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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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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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46 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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1answer
45 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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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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1answer
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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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1answer
108 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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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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1answer
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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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1answer
79 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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1answer
21 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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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. ...