HBC203: (Statistics and Data Analysis for the Social and Behavioural Sciences) Your team has decided to survey current volunteers at several social service agencies as well as the general community of non-volunteers.

Module / Subject / School:

HBC203: Statistics and Data Analysis for the Social and Behavioural Sciences

Singapore University of Social Sciences

Requirements:

DB01 Question (SU1)

Social service agencies have been finding it difficult to both attract and retain volunteers. Suppose you are part of the team at the National Council of Social Service (NCSS) that is interested in addressing this problem. But before you design the solutions, you need to first understand the problem.

To do so, your team has decided to survey current volunteers at several social service agencies as well as the general community of non-volunteers. Show how statistics and data can be used in this scenario by proposing O

NE question you would include in the survey. You may ask an open-ended or a closed-ended question.

However, if this is a closed-ended question, remember to also include the response options the respondents would see (e.g., strongly disagree, disagree, neutral, agree, strongly agree). Explain how you would use descriptive statistics to analyse the responses to the question.

Then, discuss how the results might help you develop a potential solution to the problem. You might want to present it in this format: If Result X, then my team at NCSS might propose Solution Y. (maximum 250 words)

IMPT. Assume that the survey will collect the following demographic information: Age, gender, ethnic group, employment status, marital status, educational level, and income level. So do NOT propose demographic questions.

What we score:

77%

Our Writer’s Comment

This assignment is designed to assess students’ understanding of business practices.

To secure an A+ grade, adhere to these guidelines and make sure your work aligns with the grading criteria:

1. Formulating the Survey Question

To score well, your survey question needs to be relevant and insightful. Here are some tips to consider:

Choose a question that directly addresses volunteer motivation or barriers. For example, you could ask:
- “What motivates you to volunteer at social service agencies?”
- Response options (for a closed-ended question):
  - Strongly disagree, disagree, neutral, agree, strongly agree.
- Motivation factors could include: Personal growth, Social impact, Sense of belonging, Recognition.
- Alternatively, you could ask something about the barriers to volunteering, like:
  - “How significant are the following factors in discouraging you from volunteering?”
  - Response options might include time constraints, lack of awareness, lack of recognition, or transportation issues.

2. Using Descriptive Statistics

Next, explain how you’ll use descriptive statistics to analyze the responses:

Frequency distribution: You can use this to see how many people chose each response. For example, if most people say that “lack of recognition” is a major barrier, you’ll know this is a key issue.
Mean and standard deviation: If you’re using a Likert scale (strongly agree to strongly disagree), you can calculate the mean response to see the overall trend. This will show whether volunteers generally feel motivated or face significant barriers.
Cross-tabulation: You could also use this to explore relationships between your survey question and the demographic variables (age, gender, etc.) provided in the dataset.

For example, you might discover that younger volunteers are more motivated by social impact, while older volunteers might value recognition more.

3. Interpreting Results and Proposing Solutions

This is where you show how your team at NCSS can use the data:

If Result X, then Solution Y: For example, “If the data shows that ‘lack of recognition’ is a significant barrier for volunteers, then my team at NCSS might propose implementing a volunteer appreciation program to recognize their efforts more visibly.”

You could also explain other solutions based on the findings. For example, if time constraints are a key issue, NCSS might propose offering flexible volunteer hours or remote volunteer opportunities.

Final Tips:

Be concise: With a 250-word limit, every word counts. Make sure each sentence adds value to your explanation.
Provide a clear flow: Start with the question, move into how descriptive statistics will be used, and then explain how the results could lead to a potential solution.
Link back to the problem: Always connect your analysis back to the core issue—attracting and retaining volunteers.

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