• Title/Summary/Keyword: Panel Survey

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Confirming the Continued Representativeness of an Online/Telephone Panel Using Equivalence Testing

  • Cho, Sung Kyum;LoCascio, Sarah Prusoff;Kim, Sungjoong
    • Asian Journal for Public Opinion Research
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    • v.9 no.2
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    • pp.188-211
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    • 2021
  • Decreasing response rates to traditional survey methods, like face-to-face and telephone interviews, have led survey practitioners around the world to seek new ways of conducting surveys in recent years." The COVID-19 pandemic exacerbated this problem because it made conducting face-to-face interviews even more difficult than before. For example, it made conducting face-to-face surveys infeasible in 2020 in South Korea, and so the Korean Academic Multimode Open Survey (KAMOS) was unable to conduct a planned face-to-face survey to recruit new panel members. The entire 8,514-member panel, established via two-stage probability-based sampling from 2016 to 2019, was invited to take three online/telephone surveys in 2020. Of these panel members, 1,352 responded to at least one survey in 2020. To test to what extent the panel remained representative of the adult South Korean population, we compared the two groups of panel members: those who responded to at least one survey in 2020 and those who did not. After weighting both groups on the basis of age, sex, and geographical area, we analyzed their responses to some of the questions that were asked during multiple rounds of the face-to-face panel-recruiting interviews. Using Cohen's d for survey items that could be analyzed numerically and Cramér's V for categorical items, we were able to conclude that the respondents to the 2020 surveys were equivalent to the non-respondents in terms of both demographics and in the answers they originally gave to substantive questions on a variety of topics related to social science or public opinion research, including questions about quality of life, societal issue, and politics (Cohen's d items <0.2, 95% CI; Cramér's V items <0.1, 95% CI). This analysis may provide a model for others who wish to test the continued representativeness of their panel or who would like to use a different survey mode or change some other aspect of their methodology and test whether it is equivalent to their former methodology. Our success in building a panel that retained its representativeness may be useful to those in other countries where face-to-face surveys had previously been the norm but are becoming increasingly difficult to conduct.

Impact of Panel Attrition and Conditioning : The Case of KBS-MBMR's 2007 Korean Presidential Election Panel Survey (패널 이탈과 조건화의 영향: KBS-MBMR의 2007년 대통령 선거 패널조사 사례)

  • Huh, Myung-Hoe;Kim, Jee-Yeon;Lee, Ryang-Hoon
    • Survey Research
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    • v.10 no.1
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    • pp.73-89
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    • 2009
  • Even though panel surveys are very useful in estimating the change between time points, they suffer from sample distortion as survey rounds proceed due to panel attrition and conditioning. This study is to report the statistical aspects of KBS-MBMR's five-rounds panel survey for the 2007 Presidential Election of Korea. Main findings are as follows. First, the attrition propensities were higher among women, among the young and the old aged, and among "None"/"Don't Know"/"Won't Say"(DK) respondents for the question asking preferred candidate. Second, there existed the conditioning effect that pushes the respondents to choose one candidate in hurry. Third. repeated measurements of the survey did not influence panel respondents on the choice of preferred candidate. if DK respondents are set. aside, and on the final voting intention of panel respondents.

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Testing the Representativeness of a Multimode Survey in South Korea: Results from KAMOS

  • Cho, Sung Kyum;LoCascio, Sarah Prusoff;Lee, Kay-O;Jang, Deok-Hyun;Lee, Jong Min
    • Asian Journal for Public Opinion Research
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    • v.4 no.2
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    • pp.73-87
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    • 2017
  • The Korean Academic Multimode Open Survey (KAMOS) is a national survey first conducted in 2016. Stratified cluster random sampling was used in an initial face-to-face survey during which panel members were recruited. The second survey allowed invited panel members to answer online or by phone. KAMOS includes both longitudinal items and omnibus items, i.e., researchers can propose questions to include on KAMOS. This paper seeks to establish that KAMOS is representative of the South Korean adult population. The demographic variables from the first survey were comparable to demographic variables from two well-respected surveys in South Korea: the KOSTAT Social Survey and the Gallup Korea Omnibus Survey. To ensure that there was no substantial difference between those who answered the first survey and those who answered the second survey, we compared the results of 22 items from the first survey. The 2,000 panel members who were invited to participate in the second survey had similar responses to the 1,008 of those who responded to the second survey. Based on our findings, KAMOS can be considered a representative sample.

Election Studies and Panel Survey : The 2006 Korean Local Elections (선거연구와 패널 여론조사 : 2006년 지방선거를 중심으로)

  • Kim, Jang-Su
    • Survey Research
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    • v.8 no.1
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    • pp.81-104
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    • 2007
  • This paper discusses the central issues of election studies and in this contort, suggests the panel survey method as an alternative to general opinion surveys. In doing so, it also explains the advantages and benefits that a panel survey provides, and discusses the weakness of the 2006 panel survey. East Asia Institutes, constructing the consortium which includes JoongAng Ilbo, SBS, and Hankook Research, traces the change in voting decisions during the 2006 Korean Local Elections. Four regional panels, focusing on the gubernatorial elections in Seoul, Pusan, Kwangju, and Chungnam, enable researchers to study the critical issues of election studies such as the causal relations among a set of voting determinants, the impact of campaigns, and the characteristics of floating voters.

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A Study on the Survey of Vocational Training Teachers and Instructors through Institutional Panel Sampling Design (기관패널 표집설계를 통한 훈련 교·강사 실태조사 방안 연구)

  • Jung, Hye-kyung;Jung, Il-chan;Lee, Jin-gu
    • Journal of Practical Engineering Education
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    • v.13 no.2
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    • pp.393-403
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    • 2021
  • The purpose of this study is to propose a method of designing a systematic panel survey at the institutional level to lay the foundation for data-based decision-making using vocational training teachers and instructors as the population. In this study, the target population and sampling frame, which are the main elements necessary for planning a panel survey, are proposed. Also based on expert advice and empirical data analysis, the sampling unit and sampling method taking into account the outer and inner variables are presented, comprehensively considering the representativeness of data, the efficiency and sustainability of data collection. As a result of the study, with the unit of the panel as a vocational training institution, a two-stage stratified proportional sampling plan is proposed so that the institution selected as the panel and the vocational training teachers and instructors belonging to the institution can participate in the survey. Based on this, implications for the panel survey sample design are presented.

Constructing Panel Data Using Repeated Cross-sectional Survey Data : A Case of Farm Household Survey and Its Analysis (반복횡단면자료의 패널화에 대한 연구: 농가경제조사의 경우)

  • Kang, Seog-Hoon;Bang, Tae-Kyung
    • Survey Research
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    • v.12 no.2
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    • pp.89-112
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    • 2011
  • This study shows the results of constructing panel data using Farm Household survey and presents some examples of empirical application. This study shows that ex post constructed panel data using repeated cross-sectional survey can be used in various dynamic analyses. This paper also shows that the well known difficult problem of longitudinal weights can be easily solved by using the existing cross-sectional weights in original cross-section data. Based on these results, we propose that the National Statistical Office not only try to construct panel data, but also construct panel data by using existing repeated cross-section data. The benefits of this approach seems to be very big in establishment survey.

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An Analysis of Response Pattern and Panel Attrition in KLIPS(Korean Labor and Income Panel Study)

  • Nam, Ki-Seong;Chun, Young-Min
    • The Korean Journal of Applied Statistics
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    • v.25 no.6
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    • pp.933-945
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    • 2012
  • In this paper we used the KLIPS(Korean Labor and Income Panel tudy) data that surveyed from 2006(wave 9) to 2009(wave 12). Other previous studies are concerned with the panel attrition in the early wave, but this study classifies the response pattern and investigates some factors that influence panel attrition when the panel tends to stabilize. It was revealed that panel attrition was influenced by relocation and housing type through the logit model. Besides it was appeared that panel attrition was affected by the monthly living expenses and the overall household income through the decision tree.

RDD with Follow-Up Texting: A New Attempt to Build a Probability-Based Online Panel in South Korea

  • Dong-Hoon Seol;Deok-Hyun Jang;Sarah Prusoff LoCascio
    • Asian Journal for Public Opinion Research
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    • v.11 no.3
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    • pp.257-273
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    • 2023
  • Conducting face-to-face surveys is difficult and cost prohibitive, necessitating a new attempt to build a probability-based panel in South Korea. Since 99.9% of adult Koreans own a mobile phone, mobile phone numbers provide a viable sampling frame. Random digit dialing (RDD) surveys were conducted August-December 2021. Of the 288,056 valid phone numbers dialed, 13,655 respondents between the ages of 19 and 69 completed a phone survey. These respondents were later invited by text message to join a panel; 3,202 of these (23.4% or 1.2% based on the number initially contacted) joined the panel. When compared to official government statistics like resident registration data, the census, or the Social Survey, this new probability-based panel can be said to be representative of the Korean population on the basis of age, gender, location, marital status, and household size after weighting is applied. However, even after weighting, panel members are more educated than the general population, white-collar workers and self-employed people are overrepresented, and blue-collar workers are underrepresented. As of February 2023, this panel has grown to 10,471 participants with plans to continue to invite more panel members in the same way. Based on the comparisons in this paper, we can regard this panel as a cost-effective, probability-based panel that may be used for various kinds of public opinion research, by researchers both within and outside of Korea. As we continue to refine and grow this panel, we hope it will become more widely used by researchers as well as provide a model for those building similar panels in other countries.

Availability and Problems of Panel Study: In Case of the 17th Presidential Election in Korea (패널조사의 유용성과 문제점 : 17대 대선자료를 대상으로)

  • Lee, Hyeon-Woo
    • Survey Research
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    • v.10 no.2
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    • pp.23-43
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    • 2009
  • The purpose of this paper is to explain characteristics of panel data and display the academic cases using panel data. Panel data have merit to control various variables to influence respondents' attitude and estimate the effects of independent variables researchers are interested in by surveying the same respondents several times. However, panel data also have problems such as contaminating the respondents and reducing the number of the respondents as survey conducted several times. In spite of a few inherent problems of panel data, informations that panel data provide are valuable and some research themes could not be possible without panel data. This paper investigates the relationship between interest in elections and voting. Electoral stimulation such as watching TV debates influences the consistent voting intended. But changing nonvoters who had voting intention but not vote are not influenced by the electoral stimulation.

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A Combined Method Compensating for Wave Nonresponse

  • Park, Jinwoo
    • Journal of the Korean Statistical Society
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    • v.31 no.4
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    • pp.469-482
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    • 2002
  • This paper suggests a new method of compensating for wave nonresponse in panel survey, which combines weighting adjustment and imputation. By deleting less frequent nonresponse patterns, we can get simplicity. A new mean estimator under the new combining method is provided and a limited simulation study employing a real data is conducted.