HBC203: Statistics and Data Analysis for the Social and Behavioral Sciences Tutor-Marked Assignment 01 (July 2025 Presentation)

Introduction

This page provides the full text of the HBC203 Tutor-Marked Assignment (TMA01) for the July 2025 presentation.

The assignment focuses on workplace productivity, employee burnout, and well-being.

The content below is given exactly as it appears in the official assignment document.

Assignment Information

Weightage: This assignment is worth 25% of the final mark for HBC203.

Cut-off Date: Wednesday, 17 September 2025, 11.55 pm.

Note to Students

• Include Course Code, Title of the TMA, SUSS PI No., Your Name and Submission Date in your submission.
• Label each question and the respective answer clearly in your TMA.
• All references should be cited in APA7 format and included at the end of your entire response.
• The word limit is 1,400 words (including in-text citations, excluding references). Exceeding the word limit will incur a 5% grade deduction.

Plagiarism & Generative AI

• Copying without quotation or rewriting is considered plagiarism. Attribute all sources properly, including AI-generated text.
• Answers that only reproduce information from sources (including AI tools) will be significantly marked down.

Question 1 (100 marks)

Research studies have consistently shown a strong association between workplace productivity, employee burnout and wellbeing.

Though not a new topic, workplace productivity has garnered renewed interest ever since the COVID-19 pandemic prompted the shift to remote work arrangements, which in turn led to heightened awareness of burnout and a greater emphasis on employee well-being.

To address these issues, companies have ramped up efforts to support their employees’ well-being.

PART 1 (35 marks)

A team of researchers wanted to compare the effectiveness of various types of workplace interventions in improving employees’ well-being and increasing productivity. They invited the Human Resource Director from 300 companies in the US to answer an online self-administered survey via email. They received responses from 68 companies.

The data from this study can be found in HBC203_TMA01 Dataset (Part 1).csv. (For Mac users: Please use a web browser other than Safari to download the .csv file from Canvas. Otherwise, you may be unable to open the downloaded file.)

Table 1: Variable Description

Tasks (Part 1):

• Identify the independent and dependent variables.
• Identify the most appropriate parametric statistical test and explain why it is the most appropriate.
• Using Jamovi, conduct the statistical test and show the output.
• Report the results in APA format and interpret them in relation to the researchers’ objective.

PART 2 (35 marks)

Another team of researchers in Japan conducted a similar study. They obtained the work email addresses of 5 companies in the hospitality or food & beverage (F&B) industries. Then, they sent an email to all employees from these 10 companies inviting them to participate in an online self-administered survey.

The data from this study can be found in HBC203_TMA01 Dataset (Part 2).csv.
(For Mac users: Please use a web browser other than Safari to download the .csv file from Canvas. Otherwise, you may be unable to open the downloaded file.)

Table 2: Variable Description

Tasks (Part 2):

Identify the independent and dependent variables.
Identify the most appropriate parametric statistical test and explain why.
Using Jamovi, conduct the test and show the output.
Report the results in APA format and interpret them.
State whether both research teams (Parts 1 & 2) obtained the same conclusion(s). Discuss plausible reasons.

PART 3 (30 marks)

Tasks (Part 3):

Suppose you are tasked to conduct a study in Singapore to address the same research objective. Explain how you would conduct the study, including:

• Independent and dependent variables
• Measurement methods
• Participant recruitment
• Any other data collection
• Appropriate statistical test and justification

Discuss how your proposed study addresses two limitations of the previous research (Parts 1 and 2).

Use at least 1 academic journal article per limitation.