Mixed Design in SPSS A doctor comes up with a diet that he claims can make you l
ID: 3434278 • Letter: M
Question
Mixed Design in SPSS
A doctor comes up with a diet that he claims can make you lose weight drastically. To test the efficacy, he took 10 participants and them on this diet for two months. Their weight was measured in Kilograms at the start of the diet and then after 1 month and 2 months. Here are the data:
1.) Using SPSS analyze the data using an alpha of .05. It will be a mixed design. Determine if the diet has been effective.(Free trial of SPSS here: http://www-01.ibm.com/software/analytics/spss/products/statistics/downloads.html)
2.) After analyzing the data give and interpret the effect size for each main effect and the interaction. Please use sentences in proper form. Thank you!
Explanation / Answer
1.) Using SPSS analyze the data using an alpha of .05. It will be a mixed design. Determine if the diet has been effective.(
Descriptive Statistics
Mean
Std. Deviation
N
Before
78.0530
20.23028
10
month1
77.4630
18.61402
10
month2
77.0670
16.10698
10
Tests of Within-Subjects Effects
Measure: MEASURE_1
Source
Type III Sum of Squares
df
Mean Square
F
Sig.
Partial Eta Squared
factor1
Sphericity Assumed
4.924
2
2.462
.055
.946
.006
Greenhouse-Geisser
4.924
1.200
4.102
.055
.860
.006
Huynh-Feldt
4.924
1.282
3.840
.055
.874
.006
Lower-bound
4.924
1.000
4.924
.055
.819
.006
Error(factor1)
Sphericity Assumed
800.274
18
44.460
Greenhouse-Geisser
800.274
10.802
74.087
Huynh-Feldt
800.274
11.541
69.342
Lower-bound
800.274
9.000
88.919
Calculated F(2,18) = 0.055, P=0.946 > 0.05 level.
The null hypothesis is rejected.
We conclude that the diet has been not effective.
2.) After analyzing the data give and interpret the effect size for each main effect and the interaction. Please use sentences in proper form. Thank you!
Effect size measure , Partial Eta Squared is .006, the effect is vey small. There is only one factor, there is no calculation of interaction.
Descriptive Statistics
Mean
Std. Deviation
N
Before
78.0530
20.23028
10
month1
77.4630
18.61402
10
month2
77.0670
16.10698
10