Download Figure 9. Choosing an appropriate statistical procedure

Purpose of
statistical analysis
Summarizing
univariate data
Descriptive
statistics
(mean,
standard
deviation,
variance, etc)
Exploring
relationships
between variables
Testing
significance of
differences
Form of data
Number of groups
Frequencies
Measurements
One: mean
compared to
a specified
value
Number of
variables
Number of
variables
One-sample
t-test
One: compared to
theoretical
distribution
Two: tested for
association
Two: degree of
relationship
Chi-square
goodness-of-fit
test
Chi-square test for
association
Level of
measurement
Ordinal
Spearman's
rho
Two
Independent
samples
Related
samples
Form of
data
Form of data
Multiple: effect
of 2+ predictors
on a dependant
variable
Multiple
regression
Multiple
Ordinal
Interval
Mann-Whitney
U test
Independentsamples t-test
Ordinal
Independent
samples
One
independent
variable
Multiple
independent
variables
One-way
ANOVA
Multifactorial
ANOVA
Related
samples
Repeatedmeasures
ANOVA
Interval
Interval
Pearson's
correlation
cooeficient
Wilcoxon
matchedpairs test
Figure 9. Choosing an appropriate statistical procedure
Pairedsamples
t-test
Source: Corston and Colman (2000)