TWO- WAY ANOVA

Two- way ANOVA

Two- way ANOVA

Forearm

Tests of Between-Subjects Effects

Dependent Variable: Forearm

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Corrected Model

325.234a

3

108.411

1.147

.333

Intercept

52444.392

1

52444.392

555.090

.000

Dominant And Subordinate Arm

171.125

1

171.125

1.811

.181

Gender

85.100

1

85.100

.901

.345

Dominant and subordinate arm * gender

16.000

1

16.000

.169

.681

Error

10959.566

116

94.479

Total

67531.500

120

Corrected Total

11284.800

119

a. R Squared = .029 (Adjusted R Squared = .004)

From the above table, it can be observed that level of significance is not statistically significant that is 0.681 for dominant and subordinate arm * gender for forearm. For that reason, it can be noted that there is significant difference in forearm between dominant and subordinate arm with the significance level of 0.181 and gender with the significance level of 0.345.

Hand

Tests of Between-Subjects Effects

Dependent Variable: Hand

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Corrected Model

37.267a

3

12.422

.378

.769

Intercept

8236.510

1

8236.510

250.369

.000

Dominant And Subordinate Arm

6.379

1

6.379

.194

.661

Gender

7.235

1

7.235

.220

.640

Dominant and subordinate arm * gender

29.129

1

29.129

.885

.350

Error

2500.205

76

32.897

Total

11750.250

80

Corrected Total

2537.472

79

a. R Squared = .015 (Adjusted R Squared = -.024)

In view of the given test, it is noted that the significance level is not statistically significant that is 0.350 for dominant and subordinate arm * gender. Thus, it is observed that there is significant difference in hand between dominant and subordinate arm with the level of significance of 0.661 and gender with the level of significance of 0.640.

Thumb

Tests of Between-Subjects Effects

Dependent Variable: Thumb

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Corrected Model

15.556a

3

5.185

.726

.543

Intercept

713.886

1

713.886

99.982

.000

Dominant And Subordinate Arm

3.570

1

3.570

.500

.484

Gender

11.886

1

11.886

1.665

.205

Dominant and subordinate arm * gender

.070

1

.070

.010

.921

Error

257.044

36

7.140

Total

1119.000

40

Corrected Total

272.600

39

a. R Squared = .057 (Adjusted R Squared = -.022)

Pertaining to Two way ANOVA, it is presented that for thumb, the significance value is also not significant that is 0.921 for dominant and subordinate arm * gender. Keeping this in view, it can be said that there is also significant difference for thumb between gender with the level of significance of 0.205 and dominant and subordinate arm with the level of significance that is 0.484.

Index

Tests of Between-Subjects Effects

Dependent Variable: Index

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Corrected Model

3.526a

3

1.175

.296

.828

Intercept

446.250

1

446.250

112.407

.000

Dominant And Subordinate Arm

.020

1

.020

.005

.944

Gender

3.000

1

3.000

.756

.390

Dominant and subordinate arm * gender

.520

1

.520

.131

.720

Error

142.918

36

3.970

Total

661.250

40

Corrected Total

146.444

39

a. R Squared = .024 (Adjusted R Squared = -.057)

From above two way ANOVA test, it can be observed that for index, the level of significance for dominant and subordinate arm * gender is not significant with p-value of 0.720. Therefore, it can be noted that there is significant difference for index between gender with the p-value of 0.390 and dominant and subordinate arm with the p-value of 0.944.

Middle

Tests of Between-Subjects Effects

Dependent Variable: Middle

Source

Type III Sum of Squares

df

Mean Square

F

Sig.

Corrected Model

2.274a

3

.758

.184

.907

Intercept

577.846

1

577.846

139.924

.000

Dominant and subordinate arm

.731

1

.731

.177

.677

Gender

1.731

1

1.731

.419

.521

Dominant and subordinate arm * gender

.155

1

.155

.038

.847

Error

148.670

36

4.130

Total

819.250

40

Corrected Total

150.944

39

a. R Squared = .015 (Adjusted R Squared = -.067)

It is presented that ...