Voer voor psychologen

Het longitudinal internet studies for the social sciences panel
05/05/2017
Bert Bakker, Peter van der Velden, Roza Meuleman, Esmah Lahlah, Johan van Wilsem, Rik Crutzen
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De Psycholoog 2017-5 Cover
Issue 5

Samenvatting

THE LISS-PANEL: FOOD FOR PSYCHOLOGISTS P. VAN DER VELDEN, J. VAN WILSEM, B. BAKKER, R. CRUTZEN, R. MEULEMAN & E. LAHLAH The aim of the present article is to provide insight into the characteristics and scientifi c opportunities of the Dutch Longitudinal Internet Studies for the Social Sciences-panel (LISS)-panel), operated by CentERdata (Tilburg, The Netherlands). This panel, started in 2007, is based on a random sample drawn from the population register by Statistics Netherlands, and consists of about 8000 individuals. Participants are frequently invited to complete online surveys, i.e. the so called Core studies on for instance health, personality, work and values, and all other cross-sectional and longitudinal studies (totalling about 200). The LISS-panel is an Open Access facility: researchers can acquire free access to all data from CentERdata. To illustrate the opportunities, five different studies are presented on predictors and effects of PTSD-symptoms, manifestations of nationalist attitudes and the role of parents, relationships between personality and voting behaviour, risk factors for internet crime, and the effects of reminders on non-response.

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  • Samenvatting
  • Inleiding
  • Achtergronden
  • Werving deelnemers
  • Open en free-access
  • Core-studies LISS-panel
  • Voorbeelden studies
    • 1.Posttraumatische stresssymptomen: predictoren en gevolgen
    • 2.Nationalistische houdingen en gedragingen
    • 3.Samenhang persoonlijkheid en stemkeuze voor een populistische partij
    • 4.Internet-criminaliteit: risicoprofielen
    • 5.Onderzoek naar onderzoek
  • Tot slot
  • Literatuurlijst
  • Over de auteur
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In 2007 is het longitudinale-panel gestart (N ~ 8.000), gebaseerd op een representatieve streekproef uit de Nederlandse bevolking. Ze omvat jaarlijkse Core-studies, variërend van studies naar gezondheid tot studies naar politieke voorkeuren. Daarnaast zijn ruim tweehonderd andere crosssectionele en longitudinale studies bij dit panel uitgevoerd. Alle data zijn kosteloos te gebruiken. Peter van der Velden en collega’s schetsen de rijkdom aan onderzoeksmogelijkheden aan de hand van vijf empirische studies.

Inleiding

Het Longitudinal Internet Studies for the Social Sciences (LISS)- panel bestaat uit een grote random steekproef uit de Nederlandse bevolking (N ~ 8.000). Ze bevat free-access longitudinale data bestaande uit jaarlijkse metingen vanaf 2007 over bijvoorbeeld gezondheid, persoonlijkheid, werk, gezin, sociale contacten, arbeid, normen en waarden. Naast deze jaarlijkse metingen zijn er inmiddels ruim tweehonderd separate cross-sectionele en longitudinale metingen bij de gehele steekproef, of delen ervan, uitgevoerd. Deze laatste studies gaan bijvoorbeeld over cyber-crime, alcoholgebruik, coping, gezondheidspreventie en de rol van online health informatie voor mensen met gezondheidsangst. Verder zijn alle data over alle onderzoeken en alle jaren eenvoudig met elkaar en aan mogelijk eigen (toekomstig) onderzoek met dit longitudinale panel te koppelen.

Naast de inhoudelijke rijkdom en diversiteit, omvang, representativiteit, hoge respons en het prospectieve karakter, voorziet het free-access karakter van dit panel ook in de toegenomen behoefte aan transparantie en reproduceerbaarheid van wetenschappelijke studies (vgl. Peters, Abraham & Crutzen, 2012; Silberzahn & Uhlmann, 2015; Open Science Collaboration, 2015)[literature

Literatuurlijst

  1. ANES (2012). User’s guide and codebook for the ANES 2012 time series codebook. Ann Arbor, MI and Palo Alto, CA: The University of Michigan and Stanford University.
  2. Bakker, B.N. & Lelkes, Y. (2016). Selling ourselves short? How abbreviated measures of personality change the way we think about personality and politics. Working Paper.
  3. Bakker, B.N., Rooduijn, M. & Schumacher, G. (2016). The psychological roots of populist voting: Evidence from the United States, the Netherlands and Germany. European Journal of Political Research, 55, 302–320.
  4. Bekhuis, H. & Lubbers, M. (2013). Recente migranten in Nederland en de herkomst van de door hen beluisterde muziek en bekeken fi lms. Tijdschrift voor de Sociologie, 3-4, 250-269.
  5. Bosmans, M.W.G. & Velden, P.G. van der (2015). Longitudinal interplay between posttraumatic stress symptoms and coping self-effacacy: A four-wave prospective study. Social Science & Medicine, 134, 23-29.
  6. Bosmans, M.W.G., Knaap, L.M. & Velden & P.G. van der. (2015). Personality Traits as Predictors of Trauma-Related Coping Self-Effacacy: A Three-Wave Prospective Study. Personality and Individual Differences, 76, 44-48.
  7. Cook, C., Heath, F., & Thompson, R. (2000). A meta-analysis of response rates in web- or Internet-based surveys. Educational and Psychological Measurement, 60, 821–836.
  8. Coopmans, M., Lubbers, M. & Meuleman, R. (2015). To whom do national days matter? A comparison of national belonging across generations and ethnic groups in the Netherlands. Ethnic and Racial Studies, 38, 2037-2054.
  9. Credé, M., Harms, P., Niehorster, S. & Gaye-Valentine, A. (2012). An evaluation of the consequences of using short measures of the big fi ve personality traits. Journal of Personality and Social Psychology, 102, 874–888.
  10. DiGangi, J.A., Gomez, D., Mendoza, L., Jason, L.A., Keys, C.B. & Koenen, K.C. (2013). Pretrauma risk factors for posttraumatic stress disorder: a systematic review of the literature. Clinical Psychology Review, 33, 728-744.
  11. Edensor, T. (2002). National Identity, Popular Culture and Everyday Life. Berg, Oxford/New York.
  12. Edwards, P. J., Roberts, I., Clarke, M. J., DiGuiseppi, C., Wentz, R. et al. (2009). Methods to increase response to postal and electronic questionnaires. Cochrane Database of Systematic Reviews.
  13. Fieldhouse, E., Green, J., Evans, G., Schmitt, H. & Van der Eijk, C. (2016). British Election Study Internet Panel Wave 6. Fox, J. & Miller-Idriss, C. (2008). Everyday nationhood. Ethnicities, 8, 536-563.
  14. Geurs, K.T., Thomas, T., Bijlsma, M. & Douhou, S. (2015). Automatic trip and mode detection with MoveSmarter: first results from the Dutch Mobile Mobility Panel. Transportation Research Procedia, 11, 247-262.
  15. Göritz, A.S. (2006). Incentives in Web studies: Methodological issues and a review. International Journal of Internet Science, 1(1), 58-70.
  16. Göritz, A.S. & Crutzen, R. (2012). Reminders in web-based data collection: increasing response rates at the price of retention? American Journal of Evaluation, 33, 240–250.
  17. Goldberg, L.R., Johnson, J.A., Eber, H.W., Hogan, R., Ashton, M.C. et al. (2006). The international personality item pool and the future of public-domain personality measures. Journal of Research in Personality, 40(1), 84–96.
  18. Gosling, S.D., Rentfrow, P.J. & Swann, W.B. (2003). A very brief measure of the big-fi ve personality domains. Journal of Research in Personality, 37(6), 504–528.
  19. Göritz, A.S. & Crutzen, R. (2012). Reminders in web-based data collection: increasing response rates at the price of retention? American Journal of Evaluation, 33, 240–250.
  20. Graaf, R. de, Have, M. ten & Dorsselaer, S. van (2010). The Netherlands Mental Health Survey and Incidence Study-2 (NEMESIS-2): Design and methods. International Journal of Methods in Psychiatric Research, 193, 125-141.
  21. Kooreman, P. & Scherpenzeel, A. (2014). High frequency body mass measurement, feedback, and health behaviors. Economics & Human Biology, 14, 141-53.
  22. LISS Immigrant-panel (2013). Migrants National Identifi cation and the National Dimension of Cultural Consumption. Longitudinal Internet Studies for the Social sciences panel administered by Centerdata, Tilburg.
  23. LISS Immigrant-panel (2014). Freedom and Liberation Day in the Netherlands. Longitudinal Internet Studies for the Social sciences panel administered by Centerdata, Tilburg.
  24. LISS-panel (2011, 2013). Nationalism and the national dimension of cultural consumption, Wave 1 and 2. Longitudinal Internet Studies for the Social sciences panel administered by CentERdata, Tilburg. LISS-panel (2014). Freedom and Liberation Day in the Netherlands. Longitudinal Internet Studies for the Social sciences panel administered by CentERdata, Tilburg.
  25. Mack, S., Huggins, V., Keathley, D. & Sunduckchi, M. (1998). Do monetary incentives improve response rates in the survey of income and program participation? Proceedings of the Section of Survey Research Methods. American Statistical Association.
  26. Meuleman, R. & Lubbers, M. (2013). Manifestations of nationalist attitudes: domestic music listening, participation in national celebrations, and far right voting. European Sociological Review, 29, 1214-1225.
  27. Meuleman, R., Lubbers, M. & Verkuyten, M. (2017). The consumption of domestic versus foreign fi lms, books and music: the role of parents and nationalist attitudes. Journal of Consumer Culture. Advanced online publication. DOI: 10.1177/1469540516648372.
  28. Millar, M.M. & Dillman, D.A. (2011). Improving response to Web and mixed-mode surveys. Public Opinion Quarterly, 75(2), 249-269. Newman, E. & Kaloupek, D.G. (2004). The risks and benefi ts of participating in trauma-focused research studies. Journal of Traumatic Stress, 17, 383–394.
  29. Newman, E. & Kaloupek, D.G. (2009). Overview of research addressing ethical dimensions of participation in traumatic stress studies: autonomy and benefi cence. Journal of Traumatic Stress, 22, 595–602.
  30. Omerov, P., Steineck, G., Dyregrov, K., Runeson, B. & Nyberg, U. (2013). The ethics of doing nothing. Suicide-bereavement and research: Ethical and methodological considerations. Psychological Medicine, 44, 3409- 3420.
  31. Open Science Collaboration (2015). Estimating the reproducibility of psychological science. Science, 349, DOI: 10.1126/science.aac4716.
  32. Paulissen, L. & Wilsem, J. van (2015). Dat heeft iemand anders gedaan! Een studie naar slachto’ erschap en modus operandi van identiteitsfraude in Nederland. (Politiewetenschap nr. 82). Apeldoorn: Stapel & de Koning.
  33. Peters, G.J.Y., Abraham, C. & Crutzen, R. (2012). Full disclosure: doing behavioural science necessitates sharing. The European Health Psychologist, 14, 77-84.
  34. Scherpenzeel, A. & Das, M. (2011). True Longitudinal and Probability- Based Internet Panels: Evidence from the Netherlands, In: Social and Behavioral Research and the Internet: Advances in Applied Methods and Research Strategies (eds. Das, M, P. Ester, and L. Kaczmirek), New York: Taylor & Francis, pp. 77-104.
  35. Scherpenzeel, A. & Fernee, H. (2013). New and Emerging Methods. The smartphone in survey research: experiments for time use data. The Survey Statistician, 67, 19-25.
  36. Scherpenzeel, A. & Toepoel, V. (2012). Recruiting a probability sample for an online panel: E’ ects of contact mode, incentives, and information. Public Opinion Quarterly, 76(3), 470-490. Silberzahn. R. & Uhlmann, E.L. (2015). Many hands make tight work. Nature, 526, 189-191.
  37. Singer, E. & Kulka, R.A. (2002). Paying respondents for survey participation. In: Studies of Welfare Populations: Data Collection and Research Issues (eds. Ver Ploeg, M., M.A. Mo tt & C.F. Citro), Committee on National Statistics, National Research Council.
  38. Velden, P.G. van der Velden, Bosmans, M.W.G. & Scherpenzeel, A.C. (2013). The burden of research on trauma for respondents: A prospective and comparative study on respondents evaluations and predictors. PLOSONE, 8(10): e77266. doi:10.1371/journal.pone.0077266.
  39. Velden, P.G. van der, Bosmans, M.W.G., Bouman, T., Keijser, J. de, Kleber, R. & Schut, H. (2015). De belasting van longitudinaal trauma-onderzoek: een prospectieve studie naar veronderstelde en onvermoede voorspellers. De Psycholoog, 44-54.
  40. Wilsem, J. van (2013a). Hacking and Harassment—Do They Have Something in Common? Comparing Risk Factors for Online Victimization. Journal of Contemporary Criminal Justice, 29, 437-453.
  41. Wilsem, J. van (2013b) ‘Bought it, but Never Got it’. Assessing Risk Factors for Online Consumer Fraud Victimization. European Sociological Review, 29, 168-178.
  42. Wilsem, J. van (2011). Worlds tied together? Online and non-domestic routine activities and their impact on digital and traditional threat victimization. European Journal of Criminology, 8(2), 115-127.
  43. Wilsem, J. van, Paulissen & L. (2015). ‘Moral hazard’ onder slachto’ ers van identiteitsfraude? De relatie tussen schadevergoeding bij onterechte bankafschrijvingen en riskant internetgedrag. Proces, tijdschrift voor strafrechtspleging 94(2), 129-139.
  44. Wilsem, J. van, Meulen, N.S. van der & Kunst, M.J.J. (2013). Je geld kwijt, en dan? Financiële schade bij slachto’ erschap van identiteitsfraude. Tijdschrift voor Criminologie, 55, 360-374.