Question

A hospital human resource manager wants to investigate the relationship between burnout and nurses being absent from work. The manager collects absence and "psychological burnout" from a random sample of nurses at the hospital. What can the manger conclude with an α of 0.10?

absence	burnout
5 7 6 7 6 8 8 10 9	2 1 2 3 4 4 7 7 8

a) What is the appropriate statistic?
---Select one--- (na, Correlation, Slope, Chi-Square)
Compute the statistic selected in a):  

b) Input the appropriate value(s) to make a decision about H₀.
(Hint: Make sure to write down the null and alternative hypotheses to help solve the problem.)
p-value =  ; Decision:  ---Select one--- (Reject H0, Fail to reject H0)

c) Using the SPSS results, compute the corresponding effect size(s) and indicate magnitude(s).
If not appropriate, input and/or select "na" below.
effect size =  ;    ---Select one--- (na, trivial effect, small effect, medium effect, large effect)

d) Make an interpretation based on the results.

a. There is a significant positive relationship between being absent from work and burnout.

b. There is a significant negative relationship between being absent from work and burnout.

c. There is no significant relationship between being absent from work and burnout.

Answer 1

A] CORRELATION STATISTIC

r= 0.789

B] NULL HYPOTHESIS H0:

ALTERNATIVE HYPOTHESIS Ha:

PVALUE=0.006

SINCE P VALUE SMALLER THAN THE LEVEL OF SIGNIFICANCE THEREFORE SIGNIFICANT .

DECISION : REJECT NULL HYPOTHESIS H0.

C] EFFECT SIZE FOR CORRELATION IS COEFFICIENT OF DETRMINATION.

r^2= (0.789)^2= 0.622

LARGE EFFECT

THE EFFECT SIZE FOR BURNOUT IS r^2= 0.622indicated that a large portion of varaibility in job satisfaction (62.2%)was accounted for by the level of burnout that the counseler experienced.

D] An interpretation based on the results.: There is a significant positive relationship between being absent from work and burnout.