Statistical Methods for Psychology

(Michael S) #1

608 Chapter 16 Analyses of Variance and Covariance as General Linear Models


Estimated Marginal Means
Treatment Group
Dependent Variable: POSTTEST

Treatment group
Control
0.1mg
0.5mg
1 mg
2 mg

Mean
1.715a
2.333a
3.172a
2.381a
1.935a

Std. Error
.232
.223
.248
.248
.226

Lower
Bound
1.246
1.882
2.671
1.880
1.480

95% Confidence Interval

aEvaluated at covariates appeared in the model: PRETEST 5 4.8060

Upper
Bound
2.185
2.785
3.672
2.882
2.391

Mean
N
Std. Deviation
Mean
N
Std. Deviation
Mean
N
Std. Deviation
Mean
N
Std. Deviation
Mean
N
Std. Deviation
Mean
N
Std. Deviation

Treatment group
Control

0.1mg

0.5mg

1 mg

2 mg

Total

PRETEST
3.3770
10
1.3963
5.3870
10
3.4448
6.4944
9
2.3781
5.0450
8
1.6876
3.9430
10
1.2207
4.8060
47
2.3788

POSTTEST
1.0940
10
.5850
2.5860
10
1.5332
3.9056
9
1.4768
2.4850
8
1.1874
1.5600
10
.8765
2.2857
47
1.4947

Report

Exhibit 16.4 SPSS output for analysis of Conti and Musty data


Type III Sum
of Squares
82.644a
.347
38.341
9.224
20.125
348.327
102.769

Source
Corrected Model
Intercept
PRETEST
GROUP
Error
Total
Corrected Total

df
5
1
1
4
41
47
46

Mean
Square
16.529
.347
38.341
2.306
.491

F
33.673
.707
78.108
4.698

Sig.
.000
.405
.000
.003

Eta
Squared
.804
.017
.656
.314

Tests of Between-Subjects Effects
Dependent Variable: POSTTEST

aR Squared 5 .804 (Adjusted R Squared 5 .780)

(continues)
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