Difference between revisions of "ANLY482 AY2017-18 T2 Group 16 Project Overview"
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| − | ==<div style="background: #ffffff; padding: 17px; line-height: 0.1em; text-indent: 10px; font-size:17px; font-family: Helvetica; border-left:8px solid #0091b3"><font color= #000000><strong>Project | + | ==<div style="background: #ffffff; padding: 17px; line-height: 0.1em; text-indent: 10px; font-size:17px; font-family: Helvetica; border-left:8px solid #0091b3"><font color= #000000><strong>Project Motivations</strong></font></div>== |
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| − | + | The VWO is primarily volunteer-run; hence it is critical for it to understand not just its present situation of volunteers, but also how it can do better in recruiting. Hence, the questions they'd like to ask are: | |
| − | + | 1. What are the new volunteer trends over time?<br /> | |
| + | 2. What are the factors that help or hurt volunteer recruitment? | ||
| − | + | On a personal note, all of us are Social Sciences students, and it's our way of giving back. | |
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| + | ==<div style="background: #ffffff; padding: 17px; line-height: 0.1em; text-indent: 10px; font-size:17px; font-family: Helvetica; border-left:8px solid #0091b3"><font color= #000000><strong>Data</strong></font></div>== | ||
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| + | We've received data of every programme session over 3 years, from 2015 to 2017. This added up to 1,732 sessions in total, and includes:<br /> | ||
| + | • Session date and time, and how long it was <br /> | ||
| + | • Sectors of beneficiaries that it serves: Children, Elderly, Disability<br /> | ||
| + | • Programmes<br /> | ||
| + | • Number of volunteers<br /> | ||
| + | • Existing or New volunteers<br /> | ||
| + | • Where they were recruited from: Public or School <br /> | ||
| + | • Total beneficiaries<br /> | ||
| + | |||
| + | </div> | ||
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| + | ==<div style="background: #ffffff; padding: 17px; line-height: 0.1em; text-indent: 10px; font-size:17px; font-family: Helvetica; border-left:8px solid #0091b3"><font color= #000000><strong>Methodology</strong></font></div>== | ||
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| + | |||
| + | Given the project motivations and the data provided, our methodology has been split into the following:<br /> | ||
| + | • Exploratory data analysis of new volunteers over time, as well as a comparison to beneficiaries<br /> | ||
| + | • A logistic regression model to best analyze factors that affect volunteer recruitment<br /> | ||
</div> | </div> | ||
Latest revision as of 23:59, 15 April 2018
Project Motivations
The VWO is primarily volunteer-run; hence it is critical for it to understand not just its present situation of volunteers, but also how it can do better in recruiting. Hence, the questions they'd like to ask are:
1. What are the new volunteer trends over time?
2. What are the factors that help or hurt volunteer recruitment?
On a personal note, all of us are Social Sciences students, and it's our way of giving back.
Data
We've received data of every programme session over 3 years, from 2015 to 2017. This added up to 1,732 sessions in total, and includes:
• Session date and time, and how long it was
• Sectors of beneficiaries that it serves: Children, Elderly, Disability
• Programmes
• Number of volunteers
• Existing or New volunteers
• Where they were recruited from: Public or School
• Total beneficiaries
Methodology
Given the project motivations and the data provided, our methodology has been split into the following:
• Exploratory data analysis of new volunteers over time, as well as a comparison to beneficiaries
• A logistic regression model to best analyze factors that affect volunteer recruitment
