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IWIS 2012 September 2012 Daejeon, Korea Social Participation and Intent to Participate in Internet Surveys U-Seok Seo 徐徐徐 Department of Urban Sociology, University of Seoul [email protected] Gihong Yi徐徐徐 Department of Sociology, Hallym University [email protected]

IWIS 2012 September 2012 Daejeon, Korea Social Participation and Intent to Participate in Internet Surveys U-Seok Seo 徐佑錫 Department of Urban Sociology,

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IWIS 2012 September 2012 Daejeon, Korea

Social Participation and Intent to Participate in Internet SurveysU-Seok SeoDepartment of Urban Sociology, University of [email protected]

Gihong YiDepartment of Sociology, Hallym [email protected]

Introduction2Proportion of Internet Surveys in Surveys of Statistics Korea (%)YearSurveys200520072008200920102011Mining and Manufacturing Survey58.852.661.362.563.9Census on Service Industry- 11314.919.7Cyber Shopping Survey27.939.745.84948.3Household Income and Expenditure Survey38.642.448.84646.8Food Grain Consumption Survey- - 16.92440.4Populatioan and Housing Census0.947.9Internet Surveys in Korea increased quite consistentlyInternet survey: 6.4% in 2005, 16% in 2011 (KORA)Marketing analysis using online panels / Web-based social surveysGovernment statistics collected through Internet surveys (e.g., Statistics Korea, formerly the National Statistical Office)

Reasons for Increase in Internet SurveysIncrease in Internet use in KoreaThe rate of Internet use in Korea: 78.0% (July in 2011, KISA)99% use Internet in the age groups 10s through 30sAge gaps disappearing

Increasing difficulties for traditional surveysIncrease in the refusal rate of face-to-face surveys, due to lifestyle diversification and privacy concerns The usage of landline phone drops, which leads to difficulties in contacting young people.

33Internet Surveys as an Alternative Mode of Data CollectionAdvantages of Internet SurveysData collection with less cost and timeIncreasing accessibility with certain groups of populationEnhanced monitoring of the ongoing process of data collection

Sociologists and other academic researchers are reluctant to use online survey data.Cf. marketing research

Sample representativenessMostly non-probability sampling Volunteers or convenience sampling

44Issues regarding RepresentativenessTwo points Decreasing coverage error Self-selection bias remains and gains more importance

Harris Interactives prediction on the US 2000 presidential electionOnline panelists Reference survey based on probability sampling towards the same target populationPropensity score adjustment

Propensity Score AdjustmentMany studies since Harris Interactives prediction (Schonlau et al., 2009; Lee & Valliant, 2009; Valliant & Dever, 2011) Studies in Korea (Kim & Lee, 2003; Lee & Jang, 2009; Huh and Cho, 2010)

Selection of variablesDetails about the selection of variables for adjustment purposes often remain undisclosed.Unfeasible in other research situationsInsufficient theoretical justification and generalization

55Social Participation and Intent to Participate in Internet Social SurveyThe Societal Trend Toward Self-Administration (Dillman, 2000)

Strong belief in relationship between public opinion and democracy

Civic duty and survey participation (e. g., Couper, Singer & Kulka, 1998)

Topic interest and survey participation (Groves, Presser & Dipko, 2004)

The impact of online activities on social/political participation in Korea

66Social Participation and Social Survey ParticipationGroves, Singer & Corning (2000) Leverage-Salience Theory

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7Data

Social Survey 2009, Statistics Korea(formerly the National Statistical Office, ROK)

Research Q

Who shows intent to participate in Internet surveys?

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8 Intent to Participate in Internet SurveyMen + (vs. Women)

Education +

Employed + (vs. else)

Unmarried + (vs. married)

Internet newspaper reading frequency +

Non-political donation +

Social group participation +

Volunteering experience +9

Intent toParticipate in Internet Survey Those who expressed intent to participate in internet survey are relatively:

Young

Well-educated

Often donate non-politically.

Participate in many social groups.

Volunteer often.

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First, just with the demographic variables.

Next model includes Internet newspaper reading, donation experience, group participation, and volunteering.

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Logistic Regression of Intent to Participate in Internet SurveysLogistic Regression of Intent to Participate in Internet SurveysConfirms the results of previous descriptive analyses.

LR increases (SS).

Those who express intent to participate in Internet surveys differ (from those who do NOT)

Demographically

; and also

By the degree of social participation.

Issues

Representativeness

Discrimination12

Implications for Issues of Internet SurveysRepresentativeness

In addition to demographic variables and digital divide, diverse social activities affect the intent.

Potential Discrimination

Socially-inactive groups may be undersampled. This may potentially lead to discrimination against the less visible groups.13