id: 05945664
dt: j
an: 2011e.00760
au: Valero-Mora, Pedro M.; Ledesma, Ruben D.
ti: Using interactive graphics to teach multivariate data analysis to
psychology students.
so: J. Stat. Educ. 19, No. 1, 19 p. (2011).
py: 2011
pu: Taylor \& Francis, Abingdon, Oxfordshire; American Statistical Association
(ASA), Alexandria, VA
la: EN
cc: K85
ut: 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
ci:
li: http://www.amstat.org/publications/jse/v19n1/valero-mora.pdf
ab: 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)
rv: