Research Methods Theory & Data Analysis
BEng/MEng Degree Examinations 2024-5
项目类别:物理
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Question: [40 marks]
Write a consultancy report for GreenBuild Materials investigating factors influencing
employee productivity. Your report should include the following sections:
A. Introduction (200 to 250 Words): [6 marks]
This section should explain the report's purpose and value to the Executive Board.
• It should clearly outline your specific hypotheses relevant to the research
question. [3 marks]
• You need to identify relevant variables from your hypotheses and
provide reasons for your chosen research direction. [3 marks]

B. Methodology (200 to 250 Words): [11 marks]
• You need to explain the methods / tests you used to conduct the
research process - including data cleaning procedures. [5 marks]
• You need to provide reasons for each of your choices. [6 marks]

C. Results (250 words): [10 marks]
• Present the findings using charts or tables created in SPSS, Excel,
Python, or another statistical software. [5 marks]
• Use diagrams, graphs, or charts to present the data clearly and visually
illustrate productivity scores across shifts, noise levels, and other
variables. You should provide a complete picture of the empirical
analysis and not pick-and-choose findings based on their significance.
[5 marks]

D. Discussion and Reflection (100 words to 150 words): [10 marks]
• Interpret the statistical findings to address the research questions,
highlighting factors that significantly affect productivity.

E. Conclusion (50 words to 100 words): [3 marks]
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• Provide actionable recommendations for GreenBuild to improve
scheduling, work environments, or employee engagement based on the
findings.

Supplementary Evidence Requirement
You must include supplementary evidence, such as graphical data or tables
generated in SPSS or another statistical software, to enhance clarity and support
your findings. Evidence may include histograms, bar charts, box plots, correlation
matrices, or ANOVA output tables.

Note: The instructions are outlined as follows:

Case: GreenBuild Materials - Manufacturing Efficiency
Consultancy Report for GreenBuild Materials: Investigating the Effect of
Workplace Factors on Employee Productivity
GreenBuild Materials is a leading company in sustainable construction, operating
multiple manufacturing facilities across the region. Recently, the Board of Directors
has raised concerns about variable productivity levels among employees across
different shifts and environmental conditions. They believe that factors such as shift
type, noise exposure, workplace temperature, employee satisfaction, and salary may
significantly impact productivity, affecting overall efficiency.
To gain a clearer understanding of these factors, GreenBuild conducted a survey
among their manufacturing workforce. The data collected will help the company
identify the most influential factors on productivity, enabling the Board to implement
targeted changes to optimize employee performance and satisfaction. Some key
questions they are interested in exploring include:
• How do different shift types (morning, afternoon, night) impact productivity?
• Is there a relationship between noise level exposure and employee
productivity?
• Does workplace temperature affect productivity levels?
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• What is the correlation between employee satisfaction and productivity?
• How does annual salary relate to productivity scores?
You may be able to think of other important questions the company should be asking
that can be answered by this data set. Marks will be awarded for deeper insights and
additional exploration of the dataset.
Dataset overview:
The dataset comprises responses from 120 employees across GreenBuild’s
facilities, with data collected on the following key variables:
• Employee ID: Unique identifier for each participant.
• Age: Age of the employee.
• Gender: Gender of the employee.
• Shift Type: Type of shift (Morning, Afternoon, Night) worked by the employee.
• Noise Level Exposure: Noise exposure level in the workplace (Low, Medium,
High).
• Workplace Temperature (°C): Average temperature in the employee’s work
area.
• Employee Satisfaction: Satisfaction level on a scale of 1 to 5, with 5
indicating “highly/Very satisfied.”
• Productivity Score: Productivity score based on performance evaluations on
a scale of 1 to 10, where 10 is the highest productivity score.
• Years at Company: Duration of employment at GreenBuild.
• Training Hours Last Year: Training hours completed in the past year.
• Workload Intensity: Perceived job intensity (Low, Moderate, High).
• Annual Salary (£): Annual salary of the employee in British pounds (£).

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Instructions for Candidates:
Your task is firstly to explore which variables relating to salary are the most
important, then statistically analyse the dataset gathered by the Board of
Directors and use the findings from your analysis to write a report for the
Executive Board. Your statistical analysis should follow these steps:
Instruction:
Step 1: Formulate Appropriate Hypotheses:
• To answer the research question, you will need to select relevant hypotheses
- there is a strong recommendation to propose three hypotheses in total.
This step will be important in shaping your statistical analysis and guiding the
investigative journey.
Step 2: Identify relevant variables from your hypotheses:
• You need to identify what the relevant variables are for your selected
hypotheses. These variables will play a crucial role in shaping the study's focus
and analytical framework.
Step 3: Complete Data Cleaning:
• Before the analysis phase, rigorous data cleaning procedures are essential to
ensure the dataset is accurate, reliable, and ready for scrutiny. This preparatory
step should fix any dataset discrepancies or anomalies that might affect the
validity of the findings.
Step 4: Identifying and applying statistical tests for analysis:
• The core of the research process involves systematically conducting statistical
tests and analysis to assess the validity of the formulated hypotheses. This step
is central to uncovering empirical evidence and gaining a better understanding
of the research question.
Step 5: Interpret the results:
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• The insights derived from the analysis, whether significant or not, will require
effective interpretation. Use diagrams, graphs, or charts to clarify / visualise
the findings.
Step 6: Write your Report.
• The report must be between 800 to 1000 words. This word count ensures a
concise yet thorough presentation of the research process, findings, and
implications.
Note: Graphical evidence such as graphs and tables are excluded from the word
count.
Additional information:
● No references are required.
● You must add supplementary evidence such as graphical data from SPSS or
any statistical tools you used for this data analysis.
● Cover page, contents list, figures, appendices, and references are excluded
from the total word count.
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