Reference no: EM134040394 , Length: Word Count:1800
Quantitative and Qualitative Research Techniques
Assessment- Analysis of a Practice Dataset
Learning Outcome 1: Appraise quantitative and qualitative data analysis methods in research formulation and validation.
Select suitable quantitative research techniques in research design and analysis.
Jamovi. IT students: Python in a Jupyter Notebook.
Assignment Description
Business Problem: Employee Burnout, Job Satisfaction and Technology Adoption
A mid-sized High-Tech business has engaged you as a research consultant to help understand what is driving employee satisfaction and dissatisfaction, and how this relates to workplace technology adoption. A survey was conducted, and the data is provided in the spreadsheet (please note that this dataset has some issues to be rectified).
Data (variable coding):
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Variable
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Coding / description
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employee_id
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Unique ID
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age
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Age in years
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gender
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Female / Male / Non-binary/Other
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department
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IT / Marketing / Operations / HR / Finance
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job_level
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Entry / Mid / Senior / Executive
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education
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High school / Bachelor / Master / PhD (some missing)
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tenure_years
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Years with the High-Tech business (contains error, some missing)
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remote_work_status
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Onsite / Hybrid / Remote (labels are inconsistently entered)
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weekly_hours_worked
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Self-reported weekly work hours (contains error, some missing)
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digital_skills_score
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Composite score (1-low, 7- high) (some missing)
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tech_adoption_score
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Composite score 0-100: workplace technology adoption
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RO1_too_much_work
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Role overload item 1: "I have too much work to do it all well" (1-7)
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RO2_never_enough_time
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Role overload item 3: "I never seem to have enough time" (1-7)
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B1_emotionally_drained
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Burnout item 1: "I feel emotionally drained from my work" (1-7)
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B2_used_up_end_of_day
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Burnout item 2: "I feel used up at the end of the workday" (1-7)
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B3_burned_out
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Burnout item 4: "I feel burned out from my work" (1-7, some missing)
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B4_frustrated_by_job
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Burnout item 5: "I feel frustrated by my job" (1-7)
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JS1_overall_satisfied
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Job satisfaction item 1: "Overall, I am satisfied with my job" (1-7)
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JS2_sense_of_pride
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Job satisfaction item 3: "I feel a sense of pride in doing my job" (1-7)
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JS3_job_is_enjoyable
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Job satisfaction item 4: "My job is enjoyable" (1-7)
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wellbeing_score
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Composite score 0-100
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productivity_score
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Composite score 0-100 (self-rated)
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turnover_intention
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Yes / No
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Based on the managerial report and the data collected, there are six propositions below that could be tested as hypotheses:
H1: Employees who work Onsite report higher burnout than those who work Remote.
H2: Technology adoption differs across departments.
H3: Department and turnover intention are associated.
Assignment instructions
Students are required to produce an individual assignment analysing the provided dataset. Business students should complete the analysis in Jamovi; IT students should complete the analysis in Python using a Jupyter Notebook. Quantitative research theory, concepts, tools and terminology are required to analyse the data and write up the assignment.
Assignment structure:
Introduction
Describe your overall plan for analysing this dataset to test the three hypotheses above. What statistical method will you use for each hypothesis, and why?
Sampling design process
Using the five-step sampling theory process, complete the table below for this study.
Step Your answer for this study
1. Target population
2. Sampling frame
3. Sampling technique (probability or non-probability, and which specific technique)
4. Sample size (with brief justification)
5. Any sampling frame problem you would need to watch for (subset / superset / intersection)
Data screening and cleaning
Identify and remove exact duplicate rows.
Standardise the inconsistent category labels in gender and remote_work_status.
Identify and fix errors in age, weekly_hours_worked, and tenure_years.
Report your final sample size after cleaning and a full missing-data summary.
Identifying data types and measurement scales
Expand the table below to include all variables and their level of measurement (Nominal, Ordinal, or Scale).
Descriptive statistics
Report and interpret measures of central tendency (mean, median) and dispersion (SD, range) for: role_overload, burnout, job_satisfaction, tech_adoption_score and wellbeing_score.
H1: Independent-samples t-test
Test H1: compare burnout between employees who work Onsite and those who work Remote (exclude Hybrid from this test).
Report the test statistic, df, p-value and an effect size, interpret the result, and state whether H1 is supported.
H2: One-way ANOVA
Test H2: compare tech_adoption_score across the five departments using a one-way ANOVA.
Report F statistic, df, p-value and an effect size, interpret the result, and state whether H2 is supported.
H3: Chi-square test of independence
Test H3: department and turnover_intention using a chi-square test of independence.
Report the contingency table, chi-square statistic, df and p-value, interpret the result, and state whether H3 is supported.
Confidence interval
Calculate a 95% confidence interval for the mean of job_satisfaction and explain in plain language what it tells the organisation about the true population mean.
Conclusion
Summarise which hypotheses were supported, discuss practical/business implications, and identify at least two limitations of the dataset or analysis.
Referencing
Use APA7 or IEEE, respectively for SOB and SITE students.