# Change Management

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

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

Model Summary

Model

R

R Square

Std. Error of the Estimate

1

0.592a

0.351

0.349

0.50204

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

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

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

For Training:

Regression

Model Summary

Model

R

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

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