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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.
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<h3>Project Motivation</h3>
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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.
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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.
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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

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Midterm Wiki Final Wiki


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

Scope.png


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

Access Control.png


Resources Type Source
Database MySQL
Server To be confirmed
Front-End Language JSP
Back-End Language Java
Android Hardware Samsung Tablet E