Quantitative Analysis Report: Staff Satisfaction and Sleep Problems

Staff Satisfaction and Sleep Problems
Student's Name
Institutional Affiliation
Course Code and Title
Professor's Name
Date
Introduction
How employees perform their responsibilities is crucial for a firm's performance, which is achieved based on how employees are satisfied. Employee satisfaction measures how contented employees are with their jobs, experience and the organization they work for. The more satisfied employees are, the more likely the organization will make positive progress through enhanced public image and increased revenue.
Sleep is an important input for the human body's health. The body needs enough rest to function optimally. Sufficient sleep of 7-9 hours per 24 hours in adults provides enough rest for the body. However, insufficient sleep can affect crucial functioning of the body and brain as it negatively affects cognitive functions like memory, judgement, and increased body weight.
Literature Review
Employee Satisfaction
Job satisfaction significantly affects employee experience, performance and perception of the firm. Soni et al. (2017) researched the relationship between job satisfaction and employee experience and its impact on job satisfaction. This study used a questionnaire to collect data on 40 participants and found a correlation between career growth paths and the fact that the employees would recommend the organization to others. Besides, the study also found a positive correlation between recognition and rewards and employees recommending the company to others. Frederiksen (2017) also found that employee satisfaction encourages them to recommend the company to other people. However, the study also noted that those who would highly recommend the company to others reported that they would leave the firm. Additionally, employees who had stayed longer in the organization were more satisfied with their jobs. In a different study, Dawson et al. (2019) found that employees hired on permanent contracts were more satisfied than temporary employees who were insecure about the future of their jobs.
Sleep
Several studies have explored how males and females experience sleep and the effects of insufficient sleep. He et al. (2020) researched gender differences in drug users' sleep problems. They found that females experienced a higher frequency of sleep disorders and poor quality of sleep than men, affirming a significant difference in how men and women are affected by sleep problems. However, Miner and Kryger (2020) argue that sleeping disorders and disturbance are not part of ageing. Instead, sleep disturbance is high in ageing people because of the prevalence of polypharmacy, multimorbidity, and psychosocial factors affecting sleep.
Methods
This study used staffsurvey.sav data was collected from an educational institution with branches across Australia. A sample size of 536 staff members answered the anonymous questionnaire. The data collected measures the satisfaction levels of staff from the various branches. The staff answered an anonymous questionnaire about their opinions and experience in the organization and how they have been treated as employees. The variables used in this study were employstatus (permanent=1and casual=2), recommend(no=0 and yes=1), Total Staff satisfaction scale (totsatis) and length of service(<= 2, 3-5 and 6+ years)
The study used a sample size of 271 participants, 35% males and 55% females. Ranging from 18 to 84 years, the average age of the participants was 44 years. The dataset used in this study was the sleep.sav, collected using a questionnaire from university staff in Melbourne, Australia. Participants were provided with a questionnaire about their sleep behavior, sleep problems and their effects on daily life aspects like work, driving and relationships. The study used a correlational design that did not control or manipulate variables. The variables used were sex coded as 0 to represent females and 1 to indicate males. Probsleeprec coded as 0=no and 1 = yes, age group(<=37, 38-50 and 51+ years. TotSAS represents the total score brought about by adding scores of five items (lethargy, tired, fatigue, energy and sleepy) rated on a scale of 1 to 10 in the Sleepiness and Associated Sensations scale. The totSAS has a minimum score of 5, indicating low sleepiness and a maximum of 50, indicating extreme sleepiness.
Results
Chi-Square Test of Independence: Employment Status and Recommend
This study carried out a chi-square test of independence to establish whether a significant relationship existed between employment status and recommendation.
Table SEQ Table \* ARABIC 1
Crosstabulation for Employment Status and Recommend

recommend

Total


no

yes


employment status

permanent

Count

34

294

328



% within employment status

10.4%

89.6%

100.0%



Adjusted Residual

-.4

.4



casual

Count

22

171

193



% within employment status

11.4%

88.6%

100.0%



Adjusted Residual

.4

-.4


Total

Count

56

465

521


% within employment status

10.7%

89.3%

100.0%

Table SEQ Table \* ARABIC 2
Chi-Square Tests: Employment Status and Recommend

Value

df

Asymp. Sig. (2-sided)

Exact Sig. (2-sided)

Exact Sig. (1-sided)

Pearson Chi-Square

.135a

1

.713



Continuity Correctionb

.049

1

.825



Likelihood Ratio

.134

1

.714



Fisher's Exact Test




.770

.409

Linear-by-Linear Association

.135

1

.713



N of Valid Cases

521





a. 0 cells (.0%) have expected count less than 5. The minimum expected count is 20.74.

b. Computed only for a 2x2 table

The results from the crosstabulation table revealed that 88.6% of casual staff and 89.6% of permanent staff were likely to recommend the organization to other people as a good place to work. Further, results from the Chi-square test, with Yates' Continuity correction, showed no significant association between employment status and recommended, X2 (1, n= 521) = .049, p = .83, Phi = -02.
Chi-Square Test of Independence: Gender and Sleep Problem
Table SEQ Table \* ARABIC 3
Crosstabulation for Gender and Sleep Problems

prob sleep recode 01

Total


no

yes


sex

female

Count

81

67

148



% within sex

54.7%

45.3%

100.0%



Adjusted Residual

-.6

.6