cumulative link model in R

Hi!
I'm new to R for my thesis and I tried to understand the basics of R and statistics with 'how to' youtube videos.
I need to test if there are correlations between ordinal data (questionnaires with scoring systems, one of them a likert-scale).
My promotor said something about a cumulative link model, sadly I never heard about that before and I don't really find info about it on the internet...
Is their somebody who can explain why you should use this function in this case?

I post some data below...

Sub Groep Niet_Behandeling 2.1 2.2 2.3 2.4 2.5 2.6 2.7 2.8 2.9 2.10 2.11 2.12 2.13 2.14 2.15 2.16 2.17
1    1    BE                1   2   1   4   2   1   3   3   4   1    1    1    1    1    1    1    3    1
2   23    BE                1   2   4   2   1   1   1   2   4   1    1    1    1    5    1    1    1    1
3   24    BE                1   1   4   2   1   1   1   1   1   1    1    1    1    1    1    1    1    1
4   25  BEBD                1   2   2   4   2   2   2   4   4   3    3    3    3    3    3    3    3    3
5   27    BE                1   2   3   4   1   3   4   1   4   2    4    1    1    1    1    1    1    1
6   32  BEBD                1   1   4   2   4   1   4   1   4   1    5    1    3    1    1    1    1    1
7   34    BE                1   2   5   4   4   4   3   4   4   4    3    3    3    3    2    1    3    3
8   37    BE                1   3   3   4   2   1   3   2   2   3    1    1    1    3    1    1    1    1
9   38    BE                1   4   5   1   3   2   4   4   4   1    1    3    2    1    1    1    4    4
10  41    BE                1   3   3   3   2   2   4   4   3   2    2    2    2    2    1    1    1    1
11  45    BE                1   1   5   3   3   1   2   4   5   3    2    2    3    2    2    1    4    3
12  55  BEBD                1   1   1   1   1   1   3   2   4   1    4    1    1    5    1    1    1    1
13  58    BE                1   4   3   4   2   3   2   2   3   1    2    1    3    2    1    1    2    1
14  65  BEBD                1   4   2   5   1   1   3   2   3   1    1    1    1    1    1    1    1    1
15  66    BE                1   4   5   4   2   1   2   3   2   1    1    1    1    1    1    1    1    1
16  68    BE                1   4   2   4   5   3   4   4   3   2    2    2    2    2    1    1    2    2
17  72  BEBD                1   4   2   5   1   1   1   1   3   1    1    1    1    1    1    1    2    1
18  73  BEBD                1   4   2   4   3   2   2   2   4   1    2    2    1    2    1    1    2    1

      2.18 2.19 2.20 2.21 2.22 EDE_Q_EC EDE_R EDE-Q_WC EDE_Q_SC EDE_Q_Totaal
1     3    4    3    5    3       24    28       30       30          132
2     4    1    1    2    4        5    10        8       13           39
3     4    3    2    1    1       23    28       30       48          129
4     4    4    3    4    3       22    17       48       30          117
5     1    1    1    2    1       23    17       29       47          120
6     1    1    4    2    1       10     2       16       34           66
7     3    3    3    4    3       17     6       27       45           95
8     1    1    1    3    3        4     3       18       35           62
9     5    4    4    1    1       16    10       29       48          103
10    1    1    1    1    1        4     4        2        5           17
11    3    5    4    4    3       19    12       25       40           97
12    1    3    1    5    1       19    27       30       48          126
13    1    1    3    4    3       11    14       25       38           91
14    1    2    3    5    3       17    11       21       38           92
15    2    2    1    5    3        7    15       13       28           68
16    3    4    4    5    1       15    18       27       43          106
17    1    1    1    4    3        4    15       14       13           49
18    1    3    2    5    3        4     3       11       22           42

I tapped my knowledge base (google) and the first hit on Cumulative link model is the R package CLM article in PDF format

The cumulative link model is a type of ordinal regression. Here are notes from a short course by Alan Agresti, author of the text Analysis of Ordinal Categorical Data (Agresti has published other R examples for ordinal regression, as well (here and here, for example)).

A google search for ordinal regression in R turns up many tutorials. There are also a number of tutorials on bayesian ordinal regression models in R.

This topic was automatically closed 21 days after the last reply. New replies are no longer allowed.

You might consider looking at a simple Chi-squared test of independence to learn more about your data before moving on to regression