Application of Statistical software is required (SPSS)
Comment:
The aim of the dissertation is to analyse and discuss the role of coaching, leadership, training and communication (independent) in successfully implementing change management (dependent).
The only part request is the analysis, interpretation and writing of regression analysis of the four dimensions (independent) supported by graphical representation. The attached word file is the results extracted from SPSS.
For Coaching:
Regression Result:
R2: influence or effect factor
F: factor of determination
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
0.530a
0.281
0.279
0.52860
a. Predictors: (Constant), Coaching
ANOVAb
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
45.106
1
45.106
161.430
0.000a
Residual
115.677
414
0.279
Total
160.783
415
a. Predictors: (Constant), Coaching
b. Dependent Variable: Change Management
There is an effect of factor determination R2 (0.281) which is WEAK but statically significance as the value in ANOVA table is (0.000).
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
1.667
0.185
9.008
0.000
Coaching
0.555
0.044
0.530
12.706
0.000
a. Dependent Variable: Change Management
Simple Linea Regression equation (to be applied on all dimensions)
Y= a+b X
a= constant; b=constant
Change management Effectiveness= (1.667)+(0.555) (Coaching)
Means that to increase the change management effectiveness it’s required to increase coaching
For Leadership:
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
0.592a
0.351
0.349
0.50204
a. Predictors: (Constant), Leadership
ANOVAb
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
56.437
1
56.437
223.920
0.000a
Residual
104.346
414
0.252
Total
160.783
415
a. Predictors: (Constant), Leadership
b. Dependent Variable: Mchange
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
2.018
0.134
15.013
0.000
Leadership
0.504
0.034
0.592
14.964
0.000
a. Dependent Variable: Change Management
If you increase the constant values (a) and (b) will increase the effectiveness of Change Management
Y= a+b X
Change Management Effectiveness= (2.018+0.504) Leadership
For Training:
Regression
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
0.535a
0.286
0.284
0.52651
a. Predictors: (Constant), Training
ANOVAb
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
46.018
1
46.018
166.006
0.000a
Residual
114.765
414
0.277
Total
160.783
415
a. Predictors: (Constant), Training
b. Dependent Variable: Change Management
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
2.204
0.141
15.582
0.000
Training
0.449
0.035
0.535
12.884
0.000
a. Dependent Variable: Change Management
For Communication:
Regression
Model Summary
Model
R
R Square
Adjusted R Square
Std. Error of the Estimate
1
0.545a
0.297
0.295
0.52252
a. Predictors: (Constant), Communication
ANOVAb
Model
Sum of Squares
df
Mean Square
F
Sig.
1
Regression
47.752
1
47.752
174.901
.000a
Residual
113.031
414
0.273
Total
160.783
415
a. Predictors: (Constant), Communication
b. Dependent Variable: Change Management
Coefficientsa
Model
Unstandardized Coefficients
Standardized Coefficients
t
Sig.
B
Std. Error
Beta
1
(Constant)
1.780
0.170
10.503
0.000
Communication
0.537
0.041
0.545
13.225
0.000
a. Dependent Variable: Change Management