What is the effect size? ( use: Partial ETA Squared; to obtain partial ETA squar
ID: 3156784 • Letter: W
Question
What is the effect size? ( use: Partial ETA Squared; to obtain partial ETA squared use the Genera Linear Model approach to the analysis ).
What can be concluded from these results? Be sure to consider possible study limitations and recommendations for future research.
Tests of Between-Subjects Effects
Dependent Variable: ScoreTwo
Source
Type III Sum of Squares
df
Mean Square
F
Sig.
Partial Eta Squared
Corrected Model
334.320a
7
47.760
.950
.483
.172
Intercept
257297.708
1
257297.708
5115.724
.000
.994
Gender
86.617
1
86.617
1.722
.199
.051
Topic
243.508
3
81.169
1.614
.206
.131
Gender * Topic
81.816
3
27.272
.542
.657
.048
Error
1609.455
32
50.295
Total
288061.000
40
Corrected Total
1943.775
39
Tests of Between-Subjects Effects
Dependent Variable: ScoreTwo
Source
Type III Sum of Squares
df
Mean Square
F
Sig.
Partial Eta Squared
Corrected Model
334.320a
7
47.760
.950
.483
.172
Intercept
257297.708
1
257297.708
5115.724
.000
.994
Gender
86.617
1
86.617
1.722
.199
.051
Topic
243.508
3
81.169
1.614
.206
.131
Gender * Topic
81.816
3
27.272
.542
.657
.048
Error
1609.455
32
50.295
Total
288061.000
40
Corrected Total
1943.775
39
Explanation / Answer
What is the effect size? ( use: Partial ETA Squared; to obtain partial ETA squared use the Genera Linear Model approach to the analysis ).
What can be concluded from these results? Be sure to consider possible study limitations and recommendations for future research.
Dependent Variable: ScoreTwo
Source
Type III Sum of Squares
df
Mean Square
F
Sig.
Partial Eta Squared
Corrected Model
334.320a
7
47.760
.950
.483
.172
Intercept
257297.708
1
257297.708
5115.724
.000
.994
Gender
86.617
1
86.617
1.722
.199
.051
Topic
243.508
3
81.169
1.614
.206
.131
Gender * Topic
81.816
3
27.272
.542
.657
.048
Error
1609.455
32
50.295
Total
288061.000
40
Corrected Total
1943.775
39
ETA squared
Partial 2 = SS(effect) / [ SS(effect) + SS(error for that effect) ]
= 334.320/1943.775 =0.172
The effect size is large.
Even though the effect size is large, the model is not significant. We have to think of any other factor influencing the dependent variable or increase the sample size to get significant model.
Dependent Variable: ScoreTwo
Source
Type III Sum of Squares
df
Mean Square
F
Sig.
Partial Eta Squared
Corrected Model
334.320a
7
47.760
.950
.483
.172
Intercept
257297.708
1
257297.708
5115.724
.000
.994
Gender
86.617
1
86.617
1.722
.199
.051
Topic
243.508
3
81.169
1.614
.206
.131
Gender * Topic
81.816
3
27.272
.542
.657
.048
Error
1609.455
32
50.295
Total
288061.000
40
Corrected Total
1943.775
39
Related Questions
drjack9650@gmail.com
Navigate
Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.