Question 2. Please read the following case and answer all questions. (45 marks)

John, a HR manager in a local firm, is working on a project to understand what factors will influence employees intention to leave. While he is doing some preliminary research on this topic, he found that employees perception of distributive justice, burnout and job satisfaction influence the employees intention to leave. Also, John found that the impact of burnout on employees intention to leave may be weaken if employees perceive leaders support.

1. 2.1 Please draw a conceptual model diagram based on the case description. (5 marks)

2. 2.2 John also tried to compare the level of intention to leave between male and female employees. Please read the table information and write up the result statement for this hypothesis: Male employees have higher level of intention to leave than female

employees. T-test

(10 marks)

Group Statistics

0=male; 1=female

N

Mean

Std. Deviation

Std. Error Mean

Intention to leave

male

89

2.4101

.75589

.08012

female

85

2.7765

.74204

.08049

Independent Samples Test

Levene's Test for Equality of Variances

t-test for Equality of Means

F

Sig.

t

df

Sig. (2- tailed)

Mean Difference

Std. Error Difference

95% Confidence Interval of the Difference

Lower

Upper

Intention to leave

Equal variances assumed

.120

.730

172

.002

-.36636

.11362

-.59062

-.14209

Equal variances not assumed

171.868

.002

-.36636

.11357

-.59053

-.14219

-3.224 -3.226

2.3 The following tables show the correlation analysis results for four variablesdistributive justice, burnout, job satisfaction and intention to leave. The detailed information can be found from the following SPSS output.

1. Draw a data summary table based on these results. (8 marks)

2. Briefly describe the results based on the correlation analysis. (12 marks)

Correlations
		Distributive justice	Burnout	Job satisfaction	Intention to leave
Distributive justice	Pearson Correlation	1	.089	.280**	-.384**
	Sig. (2-tailed)		.241	.000	.000
	N	174	174	173	174
Burnout	Pearson Correlation	.089	1	-.242**	.037
	Sig. (2-tailed)	.241		.001	.629
	N	174	174	173	174
Job satisfaction	Pearson Correlation	.280**	-.242**	1	-.703**
	Sig. (2-tailed)	.000	.001		.000
	N	173	173	173	173
Intention to leave	Pearson Correlation	-.384**	.037	-.703**	1
	Sig. (2-tailed)	.000	.629	.000
	N	174	174	173	174

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2.4 John run a regression to test the impact of distributive justice, burnout and job satisfaction on employees intention to leave. The following tables show the results. Please report the results based on the following tables. (10 marks)

Regression

Model Summary
Model R		R Square	Adjusted R Square	Std. Error of the Estimate
1	.735a	.541	.533	.52658
a. Predictors: (Constant), jobsatisfaction, burnout, distributive justice

ANOV Aa
Model Sum of Squares			df	Mean Square	F	Sig.
1	Regression	55.158	3	18.386	66.306	.000b
	Residual	46.862	169	.277
	Total	102.020	172
a. Dependent Variable: intention to leave b. Predictors: (Constant), jobsatisfaction, burnout, distributive justice

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients Beta	t	Sig.
		B	Std. Error
1	(Constant)	4.604	.222		20.753	.000
	Distributive justice	-.171	.051	-.185	-3.360	.001
	Burnout	-.114	.063	-.099	-1.824	.070
	Job satisfaction	-.445	.037	-.675	-11.944	.000
a. Dependent Variable: Intention to leave

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Question 3. Why is it important to be adept in handling the manager-researcher relationship? (15 marks)

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