• Title/Summary/Keyword: CAPI(Computer Assisted Personal Interviewing)

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Design and Implementation of CAPI System for PSED Using Blaise Software (Blaise 소프트웨어를 이용한 장애인고용패널조사 CAPI 시스템의 설계 및 구현)

  • Lee, Woo-Il
    • Survey Research
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    • v.11 no.1
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    • pp.107-121
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    • 2010
  • The purpose of this paper is to design and implement a Computer Assisted Personal Interviewing (CAPI) system for Panel Survey of Employment for the Disabled (PSED) using Blaise software developed by Statistics Netherlands which is a powerful and flexible system used for computer-assisted survey processing. CAPI system for PSED is consisted of three parts, which are survey management program, electronic questionnaire program, and postprocessing program. These programs are constructed with modular approach and are integrated into CAPI system. The developed software is highlighted in its reusability which results in the improved efficiency and reduced cost of software maintenance. CAPI system for PSED proved its effectiveness in carrying out the survey by guaranteeing correctness of survey data, improved timeliness of survey, easy reforming the questionnaires, easy control on the interviewers, and rapid data processing in spite of the complexity of PSED.

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CAPI and Higher Data Quality: the Case of KLoSA and Blaise CAPI Programme (컴퓨터를 이용한 대인면접이 조사 자료의 질 개선에 미치는 영향: 고령화연구패널조사의 Blaise 활용 사례를 중심으로)

  • Shin, Hyun-Goo;Lee, Hye-Jung
    • Survey Research
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    • v.7 no.2
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    • pp.71-95
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    • 2006
  • This article presents strengths of Computer-Assisted Personal Interviewing(CAPI) in social surveys with complicated questionnaires, from examples of a pilot and the first year surveys of the Korean Longitudinal Study of Ageing(KLoSA). This study focuses on how to improve the quality of data by using CAPI and finds five strengths among others. First of all, CAPI can contribute to reducing response errors by structuring the logic and path of questionnaires, setting a response range, and maintaining response consistency. Second, CAPI enhances convenience of interviewing by allowing customized questions and automatic calculation and scoring. It also allows the 'help' function. Third, its random arrangement of questions prevents response order effect and/or questions order effect. Fourth, CAPI can raise the response rate by reducing item non-responses. Fifth, it makes it easy monitoring interviewing, thus helps supervising interviewers and modifying questionnaires when necessary. These merits of CAPI contribute to reducing possible errors in the process of interviewing, therefore improve the data quality.

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A Development on the Korean Style Automatic Research System (한국형 자동화 리서치 시스템 개발)

  • Chang, Young-Hyun;Han, Jung-Soon;Bang, Eun-Young
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2010.07a
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    • pp.515-517
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    • 2010
  • 본 논문에서는 글로벌 표준화 시스템으로의 확장성을 고려하고 자동화 처리 개념을 적용한 한국형 리서치 시스템을 개발한다. 리서치 시스템의 기반이 되어지는 설문조사의 종류에는 전화조사, 온라인조사, 면접조사 등의 조사방법이 있으며 현재 대부분의 프로세스가 수동적 작업화 상태에서 데이터를 수집 검증하여 비효율적인 상태로 운영되어지고 있다. 현재 일부 기업들이 자체 프로그램의 개발을 시도하고 있지만 전문 프로그래머들의 리서치 업무에 대한 업무분석 및 이해 부족과 외부 개발 용역에 대한 고비용성으로 대부분 시스템 구축에 완성도가 낮아 개발시스템 운영에 실패를 하고 있는 실정이다. 부가적으로 개별 기업들이 초기 개발비용을 감수하지 않기 위해 외국산 리서치 솔루션을 구입하면서 높은 제품 비용과 로열티 비용 부담으로 인하여 기업 리서치 시스템 구축을 통한 효율화를 이루지 못하는 실정이다. 본 논문에서는 산학협력 연구개발로 1회의 설문입력 과정으로 개별적인 전화조사, 온라인조사, 면접조사를 동시에 가능하도록 통합하는 자동화 시스템과 일반 사용자까지 쉽고, 빠르게 설문지를 입력하고 진행하여 컴퓨터에 의한 정확한 데이터를 신속하게 고객에게 전달 할 수 있는 서비스 체제를 구축하고 설문조사의 최종 단계인 데이터 분석 및 가공에 필요한 기본적인 분석, 통계 기능 제공과 오피스 프로그램 및 통계 프로그램인 SPSS프로그램과 호환성을 주어 리서치 운영 프로세스의 개선을 목적으로 한국형 자동화 리서치 솔루션을 개발한다.

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Survey Design of the Workplace Panel Survey in Korea (사업체패널조사의 조사설계)

  • Lee, Kee-Jae;Kim, Hye-Won;Kim, Sue-Jin;Kim, Ki-Min;Lee, Yong-Hee
    • Survey Research
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    • v.9 no.3
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    • pp.71-91
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    • 2008
  • Workplace Panel Survey(WPS) is the representative panel survey of workplace in Korea. WPS was newly sampled in 2005 and is to be used for the subsequent biennial survey. The main survey is divided into a questionnaire for human resources(HR) manager, a questionnaire for labor relations manager and a questionnaire for representatives of unions. The population of WPS 2005 included workplaces across the country with 30 or more employees. The WPS 2005 was composed of 1,905 workplaces including 290 workplaces in the public sector. The sample was selected by the stratified random sampling. Weighting process for the survey data was introduced to compensate for differential sampling and non-response rates. Personal interviews were conducted using the Computer Assisted Personal Interviewing(CAPI) system during visits by interviewers, along with survey via mail and e-mail concerning employment and financial issues. The CPAI system introduced for the WPS 2005 can by used for automatical detection for errors and inconsistencies which may occur during the survey process. The CAPI system played an important part in enhancing the reliability of the survey data.

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