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HBC203 Statistics and Data Analysis for the Social and Behavioural Sciences Assignment Questions | SUSS

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Published: 15 Sep, 2025
Category Assignment Subject Science
University Singapore University of Social Science (SUSS) Module Title HBC203 Statistics and Data Analysis for the Social and Behavioural Sciences

HBC203 Assignment Question (100 Marks) 

This page provides the full text of a HBC203 assignment question related to workplace productivity, employee burnout, and wellbeing. The question is presented in a clear and structured format for students to use as a reference.

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 wellbeing.

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

PART 1 (35 Marks)

A team of researchers wanted to compare the effectiveness of various types of workplace interventions in improving employees’ wellbeing 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 provides a brief description of each variable in the dataset.

Why This Question Is Important

  • Connects theory of workplace wellbeing with real-world HR practices
  • Encourages data-driven analysis using survey results
  • Prepares students to apply research methods in practical business contexts

Next Steps For Students

  • Carefully read the dataset and variable descriptions
  • Identify how different interventions may influence wellbeing and productivity
  • Apply research methods to evaluate effectiveness

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