HBC203 Statistics and Data Analysis for the Social and Behavioural Sciences ECA 2026 | SUSS

HBC203 End-of-Course Assessment

Instructions To Students:

1. This End-of-Course Assessment paper comprises 6 pages (including the cover page).
2. You are to include the following particulars in your submission: Course Code, Title of the ECA, SUSS PI No., Your Name, and Submission Date.
3. Ensure that you submit your End-of-Course Assessment by the deadline. After the 12-hour grace period, 10% of the total End-of-Course Assessment mark will be deducted for each 24-hour block or part thereof by which your submission is late. Submissions with more than 50 marks deducted will be awarded 0 marks.
4. You are allowed multiple submissions to Turnitin before the deadline. After the deadline, only one submission is allowed, and only if you have not already made a prior submission.
5. If you fail to submit your End-of-Course Assessment, you will be deemed to have withdrawn from the course.

Important Note

ECA Submission Deadline: Thursday, 09 April 2026 12:00 pm 

ECA Submission Guidelines

Please read this information before you start working on your ECA.

This ECA carries 40% of the course marks and is a compulsory component. It is to be done individually and not collaboratively with other students. You must submit it on time.

Submission

You are to submit the end-of-course assignment (ECA) in exactly the same manner as your tutor-marked assignments (TMA), i.e. using Canvas. Submission in any other manner such as hardcopy or any other means will not be accepted. Ensure that you submit your ECA by the deadline. After the 12-hour grace period, 10% of the total ECA mark will be deducted for every 24-hour block or part thereof by which your submission is late. Submissions with more than 50 marks deducted will be awarded 0 marks. You are allowed multiple submissions to Turnitin before the deadline, after which only one submission is allowed, and only if you have not already previously submitted. If you fail to submit your ECA, you will be deemed to have withdrawn from the course.

You are reminded that electronic transmission is not always immediate. It is possible that network traffic may be particularly heavy on the cut-off date, and connections to the system cannot be guaranteed. Hence, you are advised to submit your work no later than the day before the cut-off date in order to make sure that the submission is accepted and in good time.

Once you have submitted your ECA, the status is displayed on the computer screen. You will receive a digital acknowledgement message. Please note that it is the digital time-stamp—and not the acknowledgement message—that indicates that you have submitted your ECA. To ensure a timely submission and to have your ECAs marked, you should therefore not jeopardise your course result by submitting your ECA at the last minute.

Do ensure that you have the correct files for submission. Any submission, extra files, missing appendices or corrections received separately after the submission of the ECA will not be considered in the grading of your ECA assignment.

Plagiarism and Collusion

The University takes a very serious view of plagiarism (passing off someone else’s ideas as your own, or recycling of contents from your own earlier marked TMA from the same course or another course) and collusion (submitting an assignment which is the same or very similar to another student’s). Both are forms of cheating, and neither is acceptable in any form in a student’s work, including this ECA assignment.

Avoid plagiarism by giving yourself sufficient time to research and understand the material so that you can write up your assignment in your own words, and ensure that you provide appropriate references when necessary. You can avoid collusion by ensuring that your submission is based on your own individual effort.

Penalties for plagiarism and collusion are severe. Serious cases will normally result in the student being referred to SUSS’s Student Disciplinary Group. For other cases, significant marking penalties or expulsion from the course may be imposed. For more information about the University’s policies on plagiarism and collusion, refer to the Student Handbook (Section 5.2, paragraph 1.3).

Question 1

Overview 

In this assignment, you will apply the knowledge and skills that you learnt in HBC203 to a) develop research questions, b) analyse an existing data set using jamovi to answer those research questions, and c) interpret the results of your analyses.

To that end, you will submit a 2,000-word report. The word count includes tables but excludes the references and appendix sections. Words beyond the 2,000-word limit will NOT be graded. For example, the marker will read the first 2,000 words in a 2,300-word report and ignore the last 300 words. No penalty is imposed if you submit a report with less than 2,000 words.

Details about this assignment are described below.

Description of the study

Chronic sleep deprivation has been a growing concern in recent years due to its detrimental effects on multiple aspects of a person’s life. A group of sleep scientists would like to identify factors that are associated with chronic sleep deprivation so that they may offer solutions to alleviate this problem in Singapore. They sent out an email to all employees working in 7 major banks in Singapore to complete an online survey. All employees were highly encouraged to respond to the survey. They were given 1 month to complete the survey and received weekly email reminders to do so.

Dataset

The data collected from the study are presented in HBC203 ECA Dataset.csv. The table in the Appendix summarises the information gathered in the study and the response options for each question (if there were any).

Note 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.

Report

Structure your report in the following manner:

1. Introduction

(a) Briefly explain why it is important to address the growing concern on chronic sleep deprivation in Singapore.

(b) Identify FOUR research questions that you want to answer with this dataset.

• You must only use variables that are either already existing in the dataset or variables that you can create from the existing ones.
• You may change the scale of measurement of the variables (e.g., from continuous to categorical), if needed.
• You may use a subset of survey respondents in the dataset, where appropriate.
• If you choose to change the scale of measurement of the variables or use a subset of survey respondents, you must justify why you are doing so in your report.
• To show your ability to analyse different types of data, you must use at least TWO different analysis methods. In other words, you should not use the same analysis method (e.g., correlation) to answer all four research questions.
• You must only use analysis methods that have been taught in HBC203. No marks will be awarded for analysis methods that have not been taught in HBC203 regardless of whether it is a valid analysis method or not.

2. For EACH research question that you have identified:

(a) Write a short literature review to explain why it is important to investigate the research question.

• Use at least 2 academic references (e.g., journal articles, book chapters) per research question and cite all references in APA7 format.
• You may use references or research studies conducted in any country i.e., it does not have to be limited to Singapore.

(b) Clearly state what you expect to see in your analysis results (i.e., your prediction) and explain your prediction using findings from existing research.

(c) Conduct the analysis using Jamovi and report your results in the manner stated below:

• Identify the most appropriate analysis method to answer the research question and explain why that is the most appropriate analysis to use.
• Provide a screenshot of all Jamovi output that you used to interpret the results from your analysis. If you had created new variables from existing ones in the dataset, clearly describe how these new variables were created and provide a screenshot of the Jamovi dataset with the new variables.
• Ensure that your screenshots are clear and easy to read at Word document Zoom setting of 100%. No marks will be awarded if the marker is unable to clearly and easily read the details (e.g., numbers) in your screenshots.
• Interpret the Jamovi output fully and report your results in APA format.

(d) Discuss the results from your analysis. Your discussion should minimally address these questions below:

• Do the results from your analysis support your prediction?
• How similar or different are your results from what is presented in the literature? Why might there be differences?
• What are the practical or theoretical implications of your results? That is, how can we use what you have found in your analysis?
• What are the key limitations in this study that could reduce the credibility of the results?
• How would you address the limitations (e.g., what other information would you collect if you were to conduct this study)?
• Justify what you would do to address the limitations (e.g., why would collecting additional information address the limitations).

3. Conclusion

Provide a summary of key findings and implications based on the analyses from the four research questions.

4. Word count

• State the number of words written from the Introduction section to Conclusion section (including all headings, citations, and tables).
• Exclude the jamovi output from your word count.

5. References

• Provide a list of all references that you cited in your report.
• Your report must adhere to APA standards of formatting and reference. It should also be clear, concise, and coherent. Refer to this website for the latest APA style guide (7th edition): https://apastyle.apa.org/style-grammar-guidelines.

Please Note

The ECA will be graded holistically with the following criteria:

• Quality of introduction and literature review (e.g., research questions proposed are clearly relevant, academic sources used are highly reliable, theories and evidence clearly support hypotheses and predictions)
• Quality of analysis (e.g., both descriptive and inferential statistics reported, correct statistical tests justified and conducted, necessary follow-up analyses performed, no unrelated analyses conducted, statistical output correctly interpreted)
• Quality of discussion and conclusion (e.g., clear summary of main findings, findings linked with those in the current literature, inconsistencies between findings and current literature explained, recommendations for changes based on the findings suggested, limitations of the study discussed, future directions proposed)
• Quality of structure and organization of information (e.g., clear and coherent writing throughout, excellent flow between paragraphs and sections)
• Adherence to APA formatting (e.g., citations, results, references)

The following penalties may be imposed:

• Deduction of up to 5 marks for incorrect and/or inadequate citations and references
• Deduction of up to 5 marks for using dubious, non-academic sources (e.g., blogs, Wikipedia)
• Deduction of up to 5 marks for poor language proficiency (including grammatical, punctuation, and spelling errors)

Plagiarism will be severely dealt with at SUSS. To avoid plagiarism, please remember to use your own words in the report.

• Content that is generated by AI software (e.g., ChatGPT) without citation/declaration is not allowed.
• If you include any AI-generated content in your assignments, please cite it according to SUSS guidelines on the use of AI. For example, direct quotes must be placed within quotation marks and their sources must be indicated.
• The use of AI-generated content is subject to similar plagiarism rules as the use of published sources.
• As in the case with published sources, AI should never take over or drown out your voice as the author of the essay but should only serve as a source of ideas and arguments, examples, or illustrations, etc. to help you present your position on an issue.

(100 marks)

Appendix

—END OF ECA PAPER—

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