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CHAPTER 14 EXERCISES
14.1.
Assume we are interested in the effects of client-therapist ethnic/
racial match, service location, and service satisfaction across treatment
sessions
for
community
mental
health
clients.
Hence,
the
between-
subjects
factors
are
Factor
A
,
client-therapist,
ethnic/racial
match
(
a
1
=
match and
a
2
=
no match) and Factor
B
, service location (
b
1
=
at home). Assume that for Factor
A
, clients were held
constant, but their therapists across sessions were varied in order to pro-
duce the match/no match manipulation. The first three treatment sessions
for the
n
in clinic and
b
2
=
3 participants serve as the within-subjects factor. Rated service
satisfaction (1
=
=
poor
to 10
=
excellent
) served as the dependent measure.
The data are as follows:
Sessions
Subject
c
1
c
2
c
3
s
1
7
8
9
b
1
s
2
7
8
9
a
1
s
3
6
9
10
s
4
7
8
9
b
2
s
5
7
8
9
s
6
8
8
10
s
7
3
3
5
b
1
s
8
3
4
4
a
2
s
9
3
3
5
s
10
1
4
2
b
2
s
11
2
4
2
s
12
2
3
2
a.
Conduct an ANOVA on these data with SPSS or SAS.
b.
If the interaction(s) is(are) statistically significant, conduct sim-
ple effects analyses and multiple comparisons tests with SPSS or
SAS.
14.2.
Suppose the management of a large hotel chain was interested in eval-
uating the effect of type of view (Factor
A
)andbedsize(Factor
B
) on cus-
tomer perception of quality over a one-week period. The between-subjects
factors were Factor
A
,typeofview(
a
1
=
ocean and
a
2
=
parking lot) and
Factor
B
,bedsize(
a
1
queen). The within-subjects fac-
tor was a block of five contiguous days that
n
=
king and
b
2
=
3 customers stayed at the
flagship hotel. The dependent measure was an overall customer satisfaction
question (1
=
extremely unsatisfied
to 10
=
extremely satisfied
). The data are
as follows:
=
