Data Paired Comparisons: Training Delivery Modes 2
Description
A study of n=207 persons (that belong to the 4 main learning types by Kolb) in the labour market training (AMS)
to explore preferences for training delivery modes like computer-based (CO), TV-based (TV), paper-based (GL),
audio-based (AU) and classroom-based (UV) training by using paired comparison models including the subject covariates sex,
learning style by David A. Kolb (Lerntypen), education (edu3), and age (alter_kat).
Usage
data(trdeliv2)
Format
A data frame with 207 observations on the following 14 variables.
V1
- comparison between CO and TV; 1= object 1 preferred, 2= object 2 preferred
V2
- comparison between CO and GL; 1= object 1 preferred, 2= object 2 preferred
V3
- comparison between TV and GL; 1= object 1 preferred, 2= object 2 preferred
V4
- comparison between CO and AU; 1= object 1 preferred, 2= object 2 preferred
V5
- comparison between TV and AU; 1= object 1 preferred, 2= object 2 preferred
V6
- comparison between GL and AU; 1= object 1 preferred, 2= object 2 preferred
V7
- comparison between CO and UV; 1= object 1 preferred, 2= object 2 preferred
V8
- comparison between TV and UV; 1= object 1 preferred, 2= object 2 preferred
V9
- comparison between GL and UV; 1= object 1 preferred, 2= object 2 preferred
V10
- comparison between AU and UV; 1= object 1 preferred, 2= object 2 preferred
Lerntypen
- 1=accomodator, 2=diverger, 3=converger, 4=assimilator
sex
- 1=male, 2=female
edu3
- 1=compulsory school, 2=middle education without high school graduate, 3=high school graduate or higher
alter_kat
- 1=teenagers up to 20 years, 2=young adults 21-29 years, 3=adults from 30 years
Details
In this study the subject covariate Lerntypen contains 4 groups - only the main learning styles. The subject covariate
education (edu3) consists of 3 categories.
Source
trdeliv2.RData
References
diploma thesis: Schöll, B. & Veith, S. "Learning style evaluation and preferred training delivery modes in labour market
training - an analysis of preferences using paired comparisons in R"
Examples
data(trdeliv2)
str(trdeliv2)
head(trdeliv2)