
05945664
j
2011e.00760
ValeroMora, Pedro M.
Ledesma, Ruben D.
Using interactive graphics to teach multivariate data analysis to psychology students.
J. Stat. Educ. 19, No. 1, 19 p. (2011).
2011
Taylor \& Francis, Abingdon, Oxfordshire; American Statistical Association (ASA), Alexandria, VA
EN
K85
interactive graphics
multivariate data
parallel boxplots
Cluster analysis
data analysis
psychology
computer graphics
educational technology
computer software
video technology
computer assisted instruction
statistics
mathematical concepts
class activities
college instruction
college mathematics
introductory courses
teaching methods
instructional effectiveness
multivariate analysis
http://www.amstat.org/publications/jse/v19n1/valeromora.pdf
Summary: This paper discusses the use of interactive graphics to teach multivariate data analysis to Psychology students. Three techniques are explored through separate activities: parallel coordinates/boxplots; principal components/exploratory factor analysis; and cluster analysis. With interactive graphics, students may perform important parts of the analysis "by hand," using techniques such as pointing at, selecting and changing the colors of the points/observations. Our experience demonstrates that this approach is very useful when teaching an intermediate/advanced course on multivariate data analysis to students of Psychology, who tend to have low to moderate proficiency in Mathematics. (Contains 6 figures.) (ERIC)