Difference between revisions of "IS480 Team wiki: 2017T2 LGD Overview"
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+ | <h3>Project Overview</h3> | ||
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+ | SMU School of Economics Professor Tomoki Fuji and Professor Christine Ho are conducting field experiment project that studies the impact of loss aversion design of conditional cash transfer on households in poverty in Bangladesh. This project requires surveys to be conducted to all selected households across Bangladesh. Currently the survey uses pen-and-paper interviewing(PAPI). Which takes lots of manpower to conduct and maintain. Our project aims to create a computer-assisted-personal interviewing (CAPI) survey solution to resolve this issue. | ||
+ | </p> | ||
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+ | <h3>Project Motivation</h3> | ||
+ | <p> | ||
+ | Currently 32 person-days is budgeted to do data entry for one survey conducted on a sample of 800 households, the error rate of data-entry is 30%. By replacing the PAPI survey process with a CAPI solution, budget for manual data entry can be saved, errors caused by typo and illegitimate handwriting will be eliminated. Currently 108 person-days is assigned to survey 800 households, if all of the 32 person-days can be dedicated to survey households, the sample size can increase by 29.6%. This percentage of increase in sample size can be further increased if budget for printing of material is taken into account. Therefore, the motivation for this project is to reduce inaccuracies caused by human error and save administrative cost to increase sample size. | ||
+ | We foresee the CAPI solution will be able to effectively reduce the number of person-day dedicated for data entry by 90% and increase sample size by 27.4%. (From 32 person-day for manual entry to 3 person-day to maintain the system, 29 person-day will join the survey team). With the budget saved survey can be conducted for a larger sample size, researchers will see a better representation of the population, and hence have more accurate analysis of the sample population. | ||
+ | </p> | ||
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+ | <h3>Project Scope</h3> | ||
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+ | <h3>Roles and Responsibilities</h3> | ||
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+ | <h3>Access Control Table</h3> | ||
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Revision as of 13:36, 30 October 2017
Midterm Wiki | Final Wiki |
Contents
Project Overview
SMU School of Economics Professor Tomoki Fuji and Professor Christine Ho are conducting field experiment project that studies the impact of loss aversion design of conditional cash transfer on households in poverty in Bangladesh. This project requires surveys to be conducted to all selected households across Bangladesh. Currently the survey uses pen-and-paper interviewing(PAPI). Which takes lots of manpower to conduct and maintain. Our project aims to create a computer-assisted-personal interviewing (CAPI) survey solution to resolve this issue.
Project Motivation
Currently 32 person-days is budgeted to do data entry for one survey conducted on a sample of 800 households, the error rate of data-entry is 30%. By replacing the PAPI survey process with a CAPI solution, budget for manual data entry can be saved, errors caused by typo and illegitimate handwriting will be eliminated. Currently 108 person-days is assigned to survey 800 households, if all of the 32 person-days can be dedicated to survey households, the sample size can increase by 29.6%. This percentage of increase in sample size can be further increased if budget for printing of material is taken into account. Therefore, the motivation for this project is to reduce inaccuracies caused by human error and save administrative cost to increase sample size. We foresee the CAPI solution will be able to effectively reduce the number of person-day dedicated for data entry by 90% and increase sample size by 27.4%. (From 32 person-day for manual entry to 3 person-day to maintain the system, 29 person-day will join the survey team). With the budget saved survey can be conducted for a larger sample size, researchers will see a better representation of the population, and hence have more accurate analysis of the sample population.
Project Scope
Roles and Responsibilities
Role | Usecase |
---|---|
Administrator | Prof Fujii and Prof Ho as administrators can manage question pool, manage surveys and assign interviewers to conduct surveys |
Research Assistant | Has all administrative rights except it cannot remove administrator |
Supervisor | In charge arrangement of actual planning of survey out at the field. |
Interviewer | field interviewers who conduct survey with sampled households |
Access Control Table
Resources Type | Source |
---|---|
Database | MySQL |
Server | To be confirmed |
Front-End Language | JSP |
Back-End Language | Java |
Android Hardware | Samsung Tablet E |