`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 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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406 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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19 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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12 views

Recoding 11 binary variables into 1 using Stata [migrated]

I am using Stata. So I have 11 separate variables, all "0 1" binary variables. I would like to recode them into one variable, and at the same time I would like to group the values from variables 1-3 ...
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15 views

Category prediction in ordinal regression

This could be a naive question. I have three slabs for my dependent variable and when I run the ordinal regression the predicted responses are in first and third slab but no observation is predicted ...
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16 views

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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24 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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12 views

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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10 views

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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41 views

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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21 views

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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78 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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22 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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24 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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29 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
118 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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55 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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35 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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38 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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35 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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60 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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18 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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32 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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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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33 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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16 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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52 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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39 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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1answer
62 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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109 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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140 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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7 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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55 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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40 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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20 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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27 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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39 views

Linear model with categorical dependent variable

I need to identify relationships between multiple 'counting' independent variables (representing numbers of amino acids in a protein sequence) and one ordered categorical dependent variable (an ...
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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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81 views

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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28 views

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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90 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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1answer
83 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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2answers
145 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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62 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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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 ...