'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 odds ration of an ordinal regression when indepent 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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10 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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27 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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37 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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25 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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49 views

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 ...
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14 views

Factorial design for interactions with ordinal DV

I want to make a 4 question, multiple choice survey in which each question asks about an analogous range of actions for slightly different scenarios. Each participant would only be administered the ...
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29 views

Best algorithms for ordinal classification

I am working on a data set of about 34K rows trying to predict an ordinal response variable using R. I have tried association rules, random forest and ordinal regression. Does anyone have experience ...
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12 views

Longitudinal data format in WinBUGS or OpenBUGS, different number of items per time point

I am working with longitudinal data, where there are a different number of "items" per time point. I am working with the MCMCdynamicIRT1d function in ...
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23 views

Fitting mixed effects logistic regression with random effects

I have a data frame of 134 observations, 9 independent variables, and a binary, categorical response; please see its structure below: ...
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12 views

Error messages when doing regression in SPSS

I need to do a number of regressions in SPSS but keep getting error messages. For example - "There are X cells (i.e., dependent variable levels by combinations of predictor variable values) with ...
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44 views

Interpreting ordinal regression result and calculating individual percentage contributions of independent variables

I ran an ordinal logistic regression in R using the polr function on a survey analysis dataset. The responses of the dependent variable range from Poor to Excellent. The responses to the independent ...
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Extracting full set of coefficients for multilevel explanatory factor in clmm

I am having trouble extracting coefficients for all levels of a explanatory response from clmm() in the ordinal package. My problem seems basic, and feel I am missing something obvious, forgive me if ...
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When fitting a model in Amos with ordinal data do I use Bollen stine adjustment or Baysian techniques?

I am trying to run a model validation/fit in AMOS using 18 items and three factors. The data is ordinal (1-4 scale) for each item. My data is non-normal both on a univariate and multivariate level. I ...
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27 views

Ordinal logistic model in R

I have the neuropsychiatric questionnaire scores of 300 individuals, of which 200 are normal, and 100 have the disease. The questionnaire is divided into 12 categories (delusion, agitation, ... etc). ...
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1answer
36 views

Regression analysis?

I have scored pig carcasses for injuries at 2 points; immediately after slaughter (slaughter stage 1 [SS1]) and again after the carcases have been washed, scalded and dehaired (slaughter stage 2 ...
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How to evaluate 4 methods with 4 possible outcomes

I have a table that looks like something this: Outcome Method 3 2 1 0 1 x_11 2 x_21 .... 3 x_31 4 x_41 x_44 Each x_ij ...
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51 views

Linear regression and ordinal data

I am running a multiple regression looking at whether TV viewing predicts waist circumference (WC). When I ran through the tests with my tutor we placed WC as the dependant and TV as independent, then ...
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85 views

Sample size calculation for paired ordinal data

What formula should be used for sample size calculations for paired ordinal data? Imagine we have an intervention and we want to measure the effect based on before and after measurements of an ordered ...
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108 views

Should types of data (nominal/ordinal/interval/ratio) really be considered types of variables?

So for instance here are the definitions that I get from standard text books Variable - characteristic of population or sample. ex. Price of a stock or grade on a test Data - actual ...
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Ordinal Data analysis

I have to analyze the results of a survey. The questions regard different motivators that the interviewees encounter ("I do it to help my colleagues" as a motivator for instance); all the answers are ...
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6 views

Which test do I run to check inter-rater agreement for multiple ordinal variables?

I'd like to check the inter-rater agreement between the six raters for the six ordinal variables scored for each of the 24 score sheets passed to each rater (6 ordinal variables per sheet, 24 sheets ...
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35 views

Do I run a one-tailed or two-tailed test when running Spearman's correlation between interval and ordinal data?

I have one interval variable on a 1-25 point interval scale, i.e. placement test scores where 25 is the highest competence score (data not normally distributed), and six different ordinal variables on ...
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34 views

Statistics Test for bivariate frequency table

First time user here! I have some troubles in finding some statistic method that would fit my purpose for testing bivariate frequency table. Below is a sample frequency table I have created with ...
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17 views

Which non-parametric test should I run on ordinal data from a small sample?

I have one group of six raters who scored recordings of two separate six-person groups of participants, each group under separate conditions. While the participants were divided into two independent ...
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25 views

Ordinal Logistic Regression with a Different Link Function

Consider an outcome variable that has four clear, ordered categories to it. This seems like a good use of ordinal logistic regression to estimate Odds Ratios for the effect of covariates on moving a ...
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Analysis of ordinal data with multiple assessments per unit… the right approach?

Suppose I have a dataset with the following information: N objects, each of which can be rated The number of ratings per object is variable (raters are unidentified), e.g., there are 30 objects each ...
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Is it possible to fit a Graded Response Model in Stata?

I've been reading about Item Response Theory during the past few weeks and I'd like to use it to examine how my scales are functioning. The response categories are ordinal. If I understood well, the ...
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Model uniformly distributed response in cumulative link (logit/probit) model

I have an ordered response variable (stated preference from strong dislike to strong like) that is virtually uniformly distributed. I am using package ordinal in R to estimate the probability of an ...
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81 views

ordinal regression or Spearman correlation?

I am conducting research investigating two different groups of women: one group of Short-Stature Women (SSW) and another with Non-Short Women (NSW). We have the hypothesis that SSW has an inaccurate ...
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72 views

test for trend in ordinal response variable

I have an ordinal response variable and multiple explanatory variables-both continuous and categorical. What I'd like to do is check for any univariate trend between the the different explanatory ...
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104 views

Logistic regression and ordinal independent variables

I have found this post: Yes. The coefficient reflects the change in log odds for each increment of change in the ordinal predictor. This (very common) model specification assumes the the predictor ...
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57 views

Clustering on a data set with mixed variables

I have a data set consisting of $n$ elements with $d$ features for each element ($x_{i,f}$ means the value for the f-th feature of the i-th element). I would like to cluster this data set into $k$ ...
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66 views

What type of predictive analysis should I use? [closed]

I have a pure math background with knowledge of basic statistics (random variables, inference, etc.) but am new to predictive modeling. Here is my situation: I have a bunch of independent variables ...
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49 views

How do you correlate binary & ordinal variables?

Which test to use to calculate correlations between them? Cramer's V, Kruskal-Wallis, or something else?
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correlate/compare two scales measuring different constructs

I need to compare a multidimensional pain scale item response >3 pain is present and a scale measuring emotional suffering with classified levels of suffering (High, intermediate and low). Will ICC ...
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107 views

Binary and ordinal scale

I know my response variable is ordinal(5 levels). I decide to ignore all the information in the response variable and group it into two groups. I then fit a logistic regression model to it. I use this ...
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61 views

Latent variables motivation for ordinal and binary logistic regression

The latent variable motivation for losgistic regression goes thus. There exist $Y^*=\beta^tX+\epsilon$ which is continuous. We can only observe $Y$ at specific thresholds of $Y^*$, say at $Y^*\leq ...
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40 views

Writing an ordinal (proportion odds model) as function of binary regression

I wonder if it is possible to write a proportional odds model as some function of binary logistic models. Indeed I have data on an ordinal response scale (mild, moderate, poor). There are options to ...
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Comparing the difference in change in repeated measures ordinal variables between two groups

I have two groups of patients, those with (OSA) and those without (nOSA) sleep apnoea. Patients were scheduled to undergo a surgical procedure (Sx). Each patient completed a type of quality of life ...
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1answer
44 views

How to bin a quantitative covariate for multiple regression?

I do a multiple regression in which spacing between lines is one of four variables. However, this spacing between lines varies so I have grouped them into five classes designated with numbers 1 ...
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1answer
164 views

Can I have an Interaction term with ordinal variables in a multiple regression model?

My dependent variable is corruption. I want to test the effect of press freedom and democracy on corruption. The measure for press freedom varies from 1-100 and the democracy variable is ordinal ...
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two measures at each ordinal variable category

I have an repeated measure (4 total measures) variable of severity, but two measures are high severity and two measures are low severity. I want to test the difference between high and low severity. ...
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75 views

Which regression to use for ordinal variables?

I have 10 independent ordinal variables, each having 5 levels, all intended to measure the same latent construct, and one ordinal dependent variable named rank with ...
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74 views

Ordinal Independent Variables and Dependent Variable Regression Analysis

I have 3 variables (2 are independent and 1 is dependent). All three variables are measured with questionnaires consisting of multiple questions recorded on 5 point scale. I want to perform regression ...
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1answer
98 views

how to interpret KS test or Shapiro wilk test for ordinal criterion variable?

Here Rank is my dependent variable from level (Strongly disagree to strongly agree) and Pre_Sales_support is one of the independent variable. Due to smaller sample size of 15, I am taking ...
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Which Non-parametric test to use with two Ordinal sets of data

I am trying to find which factors in Ques 6 are strongly related to company being rated high as compared to others in Ques 4 and similarly factors related to company being rated low.
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124 views

Plot and interpret ordinal logistic regression

I have a ordinal dependendent variable, easiness, that ranges from 1 (not easy) to 5 (very easy). Increases in the values of the independent factors are associated with an increased easiness rating. ...
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33 views

Cummulative Mixed Model in R variable names

I'm trying to fit a cumulative link mixed model clmm() in Rstudio. I'm currently having issues with the diagnosing what is wrong with my model from the output I am getting. The output I got from my ...
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1answer
157 views

Inferring parameters for a regression with features of both multivariate probit and ordinal regression?

I am dealing with data which is generated by a complex process, which I elaborate below; I am trying to answer one or more of the following questions- a) what is the right literature to look for ...