1
/
13
Psych 210 Exam 4 JMU questions with complete
solutions graded A+ passed
1.
Analysis
of
Variance
(ANOVA)
tests whether 3 or more groups' means are
different
(is
there
a
significant
difference
among
the
groups)
2.
one-way ANOVA
1 IV with three or more levels (multi-group). between
or within subjects design
3.
two-way ANOVA
two IVs with two or more levels (factorial). between,
within, or mixed subjects design
4.
Why
not
use
multiple
t-tests?
1)
could
take
a
while
2)
the alphas are cumulative across the
experiment,
so the more tests you do, the more
error there is
5.
within-group
variation
(error)
if
the
null
is
true,
any
numerical
differences
will
be
"within" each group since the samples came from
the same population. therefore, any numerical differ-
ences are error
6. between-group variation (sample
means)
if the null is NOT true, then between-group variation
is due to change in the IV
7.
F
F = between-group variance divided by within-
group variance OR MS between divided by MS
within. you want F to be big. if null is true, F
should be 1
8.
sources
of
variance
1)
measurement
error
(DV)
[error]
2)
uncontrolled
variables
[error]
