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SPSS
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Create a histogram to display data about the current position of participants

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

Task Description:

In this assessment, you will demonstrate your ability to perform descriptive and inferential statistical tests using the SPSS dataset provided. You will have access to this dataset at the beginning of Week 4.

Background to the study:

Nursing comprises the largest health workforce in Australia. However there is growing concern regarding the health of this population. Research has indicated that those in healthcare professions are at a high risk of developing symptoms of exhaustion and burnout as a result of high demands placed on them in their work roles.

Burnout and exhaustion can be a result of a myriad of factors including increased workloads, role diversity, changes to roles and responsibility, limited career progression opportunities, over-commitment, inadequate support internally and externally to the workplace, as well as unhealthy coping strategies. As there are so many external factors that can contribute to an individual’s burnout and exhaustion, researchers were interested to explore if any demographic factors could be indicators of exhaustion and burnout and whether nurses and midwives actually felt the services in place were adequate. The results of this research may identify groups at risk within the workforce and enable adequate interventions for these groups to be put in place prior to any exhaustion or burnout being experienced by employees.

A study was undertaken and the researchers recruited 90 nursing staff currently working in healthcare with a particular interest in investigating their levels of emotional exhaustion and burnout. All participants received a survey via email asking them their gender, origin country, age, their current employment (position, workplace context and employment type), their qualifications, and years worked in the nursing field. Participants were also required to rate their emotional exhaustion and burnout. The total score for emotional exhaustion is a number between 1-18, with scores of 1-6 indicating low level emotional exhaustion, scores of 7-12 indicating moderate emotional exhaustion and scores of 13-18 indicating high emotional exhaustion. Additionally, participants were asked whether they had accessed the mental health services within their workplace and if they were experiencing exhaustion or burnout whether they thought the services available to them would be helpful in managing these concerns.

Question 2 (Descriptive Statistics)

Use SPSS to answer these additional questions relating to the sample. Provide a copy of your SPSS output file as evidence of the statistical tests applied for all questions. (5 marks)

1.      What is the age range of participants? (1 mark) 

2.      What percentage of participants have postgraduate qualifications (Graduate certificate, graduate diploma, Master’s degree or PhD)? (1 mark)

3.      What is the mean (and standard deviation) emotional exhaustion score for female participants? (1 mark)

4.      What is the mean (and standard deviation) emotional exhaustion score for male participants? (1 mark)       

5.      Create a histogram to display data about the current position of participants. (1 mark)

Question 3 (Normality Testing)

A.     A researcher was deciding whether to run parametric or non-parametric analyses for their data set. The variable of interest was Emotional Exhaustion/Burnout Scores. Run the appropriate tests to answer the following questions. (6 marks)

1.      What does the skewness value tell us about the Emotional Exhaustion/Burnout Score variable distribution? (1 mark)

2.      What could we say about the distribution of the data? I.e. is it normally distributed or non-normally distributed? (1 mark)

3.      What type of analyses (parametric or non-parametric) would you recommend the researcher use and why? (3 marks)

Provide SPSS output as evidence of the statistical testing you have conducted.

B.     The researcher is still interested in the Emotional Exhaustion/Burnout Score variable, however thinks there may be a difference between male and females scores. Manipulate the data in the appropriate manner and run the appropriate tests to answer the questions below.

1.      What could we say about the distribution of the data for each group? I.e. is it normally distributed or non-normally distributed? (1 mark)

Provide SPSS output as evidence of the statistical testing you have conducted. 

(5/5)
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