Lab update
1
Attitudes Towards Remote Work
Student name
Faculty name
Due date
Null Hypothesis (H0):
There is no significant difference in how employees feel about working from home between technology, healthcare, education, finance, and other fields.
Alternative Hypothesis (H1):
There is a significant difference in how remote workers in healthcare, education, banking, and technology professions feel about working from home.
Independent Variable:
· Variable: Job Sector
· Levels: Technology, Healthcare, Education, Finance, Other
· Type: Categorical
· Scale: Nominal
Dependent Variable:
Variable: Attitude towards remote work
Type: Continuous
Scale: Interval (sum of Likert scale responses)
Indicate your gender:
Male: Female: Other:
Instructions:
Independent Variable Question:
Which industry do you work in?
Technology. Healthcare. Education. Finance. Other.
Dependent Variable Questions (Attitude towards remote work):
For each of the following questions, kindly indicate the level at which you agree with the statement by making use of the following scale (Aithal & Aithal, 2020):
1 = Strongly Disagree
2 = Disagree
3 = Neutral
4 = Agree
5 = Strongly Agree
[1] My job satisfaction increases with working remotely.
1: 2: 3: 4: 5:
[2] I feel am more productive working remotely.
1: 2: 3: 4: 5:
[3] Working remotely enhances my work-life balance.
1: 2: 3: 4: 5:
[4] I’d prefer working remotely over working in an office.
1: 2: 3: 4: 5:
[5] Working remotely minimizes my work-related stress.
1: 2: 3: 4: 5:
[6] It is always easier for me to cooperate with workmates while working remotely.
1: 2: 3: 4: 5:
[7] Working remotely increases my flexibility with my working hours.
1: 2: 3: 4: 5:
[8] I feel a deeper connection with my company while working remotely.
1: 2: 3: 4: 5:
[9] Working remotely has positively impacted my growth in my profession
1: 2: 3: 4: 5:
[10] I would choose to shift between jobs for better remote work opportunities.
1 : 2: 3: 4: 5:
References
Aithal, A., & Aithal, P. S. (2020). Development and validation of survey questionnaire & experimental data–a systematical review-based statistical approach. International Journal of Management, Technology, and Social Sciences (IJMTS), 5(2), 233-251.