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Methodology for the Improvement of Panel Data Quality-CAPI(Computer-Assisted Personal Interview) Effects-
Methodology for the Improvement of Panel Data Quality-CAPI(Computer-Assisted Personal Interview) Effects-
  • Author Hyomi Choi et al.
  • Language English
  • Publication Date March 14, 2013
  • Length 114 Pages
  • Publisher Korea Labor Institute
  • Download Panel Data Quality.pdf Panel Data Quality.pdf
  • Table of Contents

    Chapter 1. Introduction

    Chapter 2. Empirical Study on the effect of Computer Assisted Personal Interviewing (CAPI): With a Focus on the Korean Labor and Income Panel Study (KLIPS) CAPI Experiment Data

    1. Introduction
    2. Outline of the KLIPS Test Run Design
    3. Empirical Analysis of the Effects of CAPI
    4. Summary and Conclusion

    Chapter 3. The Effect of CAPI Introduction on KLIPS: Focusing on Data Integrity Between Survey Waves

    1. Introduction
    2. Transition to CAPI
    3. Effect of CAPI Introduction on Survey Performance
    4. Analysis of Item Response and Missing Errors
    5. Effect on Changes to Response Propensity
    6. Summary and Conclusion

    Chapter 4. Event History Calendar Program Development and Anticipated Effects: Main Functions and Characteristics of the KLI CAPI-EHC

    1. Introduction
    2. EHC Effects as Described in Previous Studies
    3. Main Functions and Characteristics of the KLI CAPI-EHC
    4. Summary and Conclusion

    Chapter 5. General Conclusion

    References 

  • SUMMARY

    Compared with cross-sectional studies, longitudinal studies present the possibility of a greater range of non-sampling errors. Because of this, the entire process covering study design, fieldwork, and data processing must be carefully planned in advance. Leading longitudinal studies in other countries have conducted various methodological studies to improve the data that are collected and released. In contrast, it is difficult to find instances of methodological studies in the field of longitudinal research in Korea. This study is the first to study mode effects in Korean longitudinal studies. In essence, it concerns the empirical analysis of the question “How did the introduction of CAPI (computer-assisted personal interviewing) affect the data quality of certain longitudinal studies?” This question is examined using KLI’s (Korea Labor Institute’s) KLIPS (Korean Labor and Income Panel Study), which is among the first of Korea’s longitudinal studies to have introduced the CAPI mode.