Publications in English

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 

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.