Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
2020 | nr 3 (211) | 323--343
Tytuł artykułu

Sociological Aspects of the Statistical Research Process : Toward a Sociology of Public Statistics

Treść / Zawartość
Warianty tytułu
Języki publikacji
The statistical process is a multifaceted, socially immersed research process. Statistics as a research activity is-and statistics as a product are-influenced by a variety of factors, covariates, and participants/stakeholders in data generation, analysis, dissemination and use. The aim of this paper is to identify and systematize key elements of the socio-cognitive status of statistics and of relations between statistics and society. To this end, a conceptual meta-model of the statistical process, involving an interwoven "logic of method" and "logic of action," provides a framework for the exploration of statistics from the perspective of sociology. Given that social, cultural, and political conditions affect the quality of statistical products and the status of statistical institutions, sociological study seems especially well suited to dealing with the complexity of the issues involved. To be successful, however, advances in the sociology of statistics are also desirable. (original abstract)
Opis fizyczny
  • Cardinal Stefan Wyszynski University in Warsaw
  • Alexander, J. C. 1998. Neofunctionalism and After. Oxford: Blackwell.
  • Alkire, S., Foster, J. 2011. Counting and Multidimensional Poverty Measurement, Journal of Public Economics 95(7-8).
  • Alonso, W., Starr, P. (eds.). 1987. The Politics of Numbers. New York: Russell Sage.
  • Ametowobla, D., Baur, N., Jungmann, R. (eds.). 2015. Methods of Innovation Research: Qualitative, Quantitative and Mixed Methods Approache, Historical Social Research 40(153).
  • Anand, S., Sen, A. K. 1994. Sustainable Human Development: Concepts and Priorities. Human Development. New York, NY: United Nations Development Programme. Office of Development Studies 8.
  • Anderson, M. J. 1988. The American Census. A Social History. New Haven: Yale University Press.
  • Atkinson, A. B., Cantillon, B., Marlier, E., Nolan, B. 2002. Social Indicators: The EU and Social Inclusion. Oxford: Oxford University Press.
  • Barnes, T. J. 2000. Review of The Politics of Large Numbers by Alain Descrosière, Environment and Planning 32: 2081-2.
  • Bartl, W., Papilloud, CH., Terracher-Lipinski, A. 2019. Governing by Numbers-Key Indicators and the Politics of Expectations. An Introduction, Historical Social Research 44(2).
  • Berman, E.P., Hirschman, D., 2018. The Sociology of Quantification: Where Are We Now? Contemporary Sociology 47.
  • Biemer, P.P., Groves, R.M., Lyberg, L.E., Mathowetz, N.A., Sudman, S. 2004. Measurement Errors in Surveys. New Jersey: J. Wiley & Sons, Hoboken.
  • Boudon, R. 2001. Sociology that Really Matters. European Sociological Review 18(3).
  • Bourdieu, P. 1990. The Logic of Practice. Stanford: Stanford University Press, CA.
  • Carter, S.B., Sutch, R. 1995. Fixing the Facts: Editing of the 1880 U.S. Census of Occupatopna with Implications for Long-Term Trends and the Sociology of Official Statistics. National Bureau of Economic Research, Historical Paper 74. NBER Working Paper Series.
  • Cimadamore, A.D., Koehler, G., Pogge, T. (eds.). 2016. Poverty and the Millennium Development Goals. A Critical Look Forward. London: ZED Books.
  • Clogg, C.C. 1992.The Impact of Sociological Methodology on Statistical Methodology, Statistical Sciences 7(2).
  • Coleman, J. S. 1990. Foundations of Social Theory. Cambridge, MA: Harvard University Press.
  • Collins, R. 1984. Statistics Versus Words, Sociological Theory 2.
  • Cook, S.A., Fukawa-Connelly, T. 2013. Initial Undergraduate Student Understanding of Statistical Symbols. XVI Linked Schedule/rume16 submission 60.pdf.
  • Cool, J. 2000. The Power of Large Numbers: Population, Politics, and Gender in Nineteenth-Century France. Ithaca, NY: Cornell University Press.
  • Cowell, F.A. 2008. Measuring Inequality.
  • Creswell, J.W. 2015. A Concise Introduction to Mixed Methods Research. Los Angeles: SAGE Publications.
  • Davis, K., Fisher, A., Kingsbury, B., Merry, S.E. (eds.). 2012. Governance by Indicators: Global Power through Quantification and Rankings. Oxford: Oxford University Press.
  • Desrosières, A. 1998. The Politics of Large Numbers: A History of Statistical Reasoning. Cambridge, Mass.: Harvard University Press.
  • Desrosières, A. 2001. How Real Are Statistics? Four Possible Attitudes, Social Research 68(2).
  • Desrosières, A. 2011. Words and Numbers. For a Sociology of the Statistical Argument, in: A. R. Saetnam, H. M. Lomell, S. Hammer (eds.), The Mutual Construction of Statistics and Society. New York: Routledge.
  • Desrosières, A. 2016. The Quantification of the Social Sciences: An Historical Comparison, in: I. Bruno, F. Jany-Catrice , and B. Touchelay, The Social Sciences of Quantification: From Politics of Large Numbers to Target-Driven Policies. Cham: Springer.
  • Desrosières, A., Chiapello, E. 2006. La Quantification de l'économie et la recherche en sciences sociales: paradoxes, contradictions et omissions. Le cas exemplaire de la positive accounting theory, L'Économie des conventions: Méthodes et résultats, La Découverte.
  • Diener, E., Oishi, S., Tay, L. 2018. Introduction by the Editors, in: E. Diener, S. Oishi, L. Tay (eds.), Handbook of Well-Being. Salt Lake City, UT: DEF Publishers.
  • Domański, H., 2004. Struktura społeczna. Warszawa: Wydawnictwo Naukowe Scholar.
  • Duncan, G.T., Elliot, M., Salazar-González, J-J. 2011. Statistical Confidentiality: Principles and Practice. Berlin: Springer.
  • Duncan, O.D. 1984. Notes on Social Measurement. Historical and Critical. New York: Russell Sage.
  • Espeland, W., Stevens, M. 2008. A Sociology of Quantification, European Journal of Sociology/Archives XLIX, 3.
  • Federer, W.T. 1991. Statistics and Society: Data Collection and Interpretation, 2nd ed.
  • Foucault, M. 2005 [1966]. The Order of Things: An Archaeology of the Human Sciences. London: Routledge.
  • Giddens, A. 1984. The Contitution of Society. Cambridge: Polity Press.
  • Giovannini, E., Rondinella, T. 2018. Going beyond GDP: theoretical approaches, in: C. D'Ambrosio (ed.), Handbook of Research on Economic and Social Well-Being. Cheltenham, UK, Northampton, MA, USA: Edward Elgar Publishing.
  • Goldthorpe, J.H. 2000. On Sociology: Numbers, Narratives, and the Integration of Research and Theory. Oxford: Oxford University Press.
  • Goldthorpe, J.H. 2007. On Sociology. Sec. Ed. Vol. 2. Stanford, CA: Stanford Univ. Press.
  • Groves, R. 1989. Survey Error and Survey Costs. New York: Miley.
  • Groves, R.M., Fowler, F.J., Couper, M.P., Lepkowski, J.M., Singer, E., Tuorangeau, R. 2004. Survey Methodology. Hoboken, NJ: Wiley.
  • Hammer, S. 2011. Governing by Indicators and Outcomes a Neoliberal Governmentality, in: A. R. Saetnam, H. M. Lomell, S. Hammer (eds.), The Mutual Construction of Statistics and Society. New York: Routledge.
  • Heckman, J. J., 2006. The Scientific Model of Causality, Sociological Methodology 35(1).
  • Hedström, P., Bearman, P. 2009. The Oxford Handbook of Analytical Sociology. New York: Oxford University Press.
  • Holland, P.W. 1986. Statistics and Causal Inference, Journal of the American Statistical Association 81.
  • Hovland, J. 2011. Numbers. Their Relation to Power and Organization, in: Saetnam et al. (eds.), The Mutual Construction of Statistics and Society. New York: Routledge.
  • Innes, J.E. 1990. Knowledge and Public Policy: The Search for Meaningful Indicators. 2nd edn. New Brunswick, NJ and London: Transaction Publishers.
  • Kalton, G. 2017. Comments on the Rao and Fuller (2017) paper, Survey Methodology, Statistics Canada, Catalogue No. 12-001-X, Vol. 43, No. 2.
  • Koźmiński, A.K., Noga, A., Piotrowska, K., Zagórski, K. 2020. The Balanced Development Index for Europe's OECD Countries, 1999-2017. Cham: Springer.
  • Lahiri, P. 2019. Recent Advances in Statistical Data Integration. A Session Introduction. 62nd ISI World Statistics Congress (ISI WSC 2019) 18-23 August 2019. Kuala Lumpur.
  • Lazarsfeld, P.F. 1961. Notes on the History of Quantification in Sociology-Trends, Sources and Problems, Isis 52(2) (Jun).
  • Luhman, N. [1984] 2012. Systemy społeczne. Zarys ogólnej teorii. Kraków: Nomos. [Social Systems. Stanford, CA: Stanford University Press.]
  • MacInnes, J. 2011. Discussion on the paper by Wild, Pfannkuch, Regan and Horton, in: Journal of the Royal Statistical Society, Series A (2011) 174, Part 2, pp. 247-295 Towards more accessible conceptions of statistical inference C. J .Wild, M. Pfannkuch and M. Regan.
  • Maggino, F. 2009. The state of the art in Indicators Construction in the Perspective of a Comprehensive Approach in Measuring Well-Being of Societies. Working Paper. Universita degli Studi di Firenze.
  • Maggino, F. 2017. Quality of Life and Social Cohesion: Defining and Measuring Subjective Aspects, in: W. Okrasa (ed.), Quality of Life and Spatial Cohesion: Development and Well-Being in the Local Context. Warszawa: Wydawnictwo Naukowe UKSW.
  • March, J.G. & Simon, H.A. 1958. Organizations. New York: Wiley.
  • Marsden, P.V. 2005. The Sociology of James S. Coleman, Annual Review of Sociology 31.
  • Mennicken, A., Espeland, W.N., 2019. What's New with Numbers? Sociological Approaches to the Study of Quantification, Annual Review of Sociology 45.
  • Morawski, W. (ed.). 2018. Socjologia Ekonomiczna. Warszawa: PWN.
  • Morgan, S.L., Winship, Ch. 2007. Counterfactuals and Causal Inference. Methods and Principles for Social Research. New York, NY: Cambridge University Press.
  • Mutz, D.C. 2011. Population-Based Survey Experiments. Princeton and Oxford: Princeton University Press.
  • Nowak, S. 1976. Understanding and Prediction,Essays in the Methodology of Social and Behavioral Theories. Dordrecht, Holland: D. Reidel Publishing Co.
  • Nowak, S. 1977. Methodology of Sociological Research. General Problems. Dordrecht, Holland: D. Reidel Publishing Co. / Warsaw: PWN-Polish Scientific Publishers.
  • Oates, B., Everett, G. 2015. Digital Government-Digital Statistics. How statisticians are putting themselves at the heart of government transformation through Data Science, Big Data and being 'helpful'. 60th World Statistics Congress, Rio de Janeiro.
  • Okrasa, W. 1994. Private Lives, Public Policies. Items. Social Science Research Council 48(1).
  • Okrasa, W. 2012. Statistics and Sociology: The Mutually-supportive Development from the Perspective of Interdisciplinarization of Social Research, Statistics in Transition-new series 13(2).
  • Okrasa, W. 2014. Eksperymenty sondażowe w kontekście badań ewaluacyjnych, Wiadomości Statystyczne 10(641).
  • Okrasa, W. 2017. Między wiedzą a decyzją. Komunikacyjne aspekty użyteczności wiedzy statystycznej. XXVI Konferencja Ekonometria i Statystyka w Procesie Edukacji Statystycznej. University of Lodz, 12-13 June (2017).
  • Okrasa, W. 2018. Bieda i Biedni: Interpretacje i opis ubóstwa, in: W. Morawski (ed.), Socjologia Ekonomiczna. Warszawa: PWN.
  • Okrasa, W., Rozkrut, D. 2019. Subjective and Community Well-Being Interaction in a Multilevel Spatial Modelling Framework, Statistics in Transition-new series 20(4).
  • Okrasa, W., Witek, B. 2013. Statistics as a Profession-Statistician as an Occupation: observations and comments from a panel of experts, Statistics in Transition-new series 14(2).
  • Platek, R., Särndal, C-E. 2001. Can a Statistician Deliver?, Journal of Official Statistics 17(1).
  • Porter, T.M. 1995.Trust in Numbers: the Pursuit of Objectivity in Science and Public Life. Princeton: Princeton University Press.
  • Prewitt, K. 1987. Public Statistics and Democratic Politics, in: W. Alonso, P. Starr (eds.), The Politics of Numbers. New York: Russell Sage.
  • Raftery, A.E. 2001. Statistics in Sociology, 1950-2000: A Selective Review, Sociological Methodology 31.
  • Ravallion, M. 2012. Troubling trade offs in the Human Development Index, Journal of Development Economics 99.
  • Saetnam, A.R., Lomell, H.M., Hammer, S. (eds.). 2011. The Mutual Construction of Statistics and Society. New York: Routledge.
  • Schield, M., 2013. Teaching The Social Construction Of Statistics. 6.4Schield.pdf
  • Seltzer, W. 2005. Official Statistics and Statistical Ethics: Selected Issues, International Statistical Institute, 55th session.
  • Starr, P. 1987. The Sociology of Official Statistics, in: W. Alonso and P. Starr (eds.), The Politics of Numbers. New York: Russell Sage.
  • Stevens, S.S. 1946. On the theory of Scale Measurement, Science 103: 677-680.
  • Struijs, P., Braaksma, B., Daas, P. 2014. Official Statistics and Big Data, Big Data & Society 1.
  • Sułek, A. 2001. Sondaż Polski. Warszawa: Wydawnictwo Instytutu Filozofii i Socjologii PAN.
  • United Nations. 2014. Fundamental Principles of Official Statistics.
  • UNRISD/United Nations Research Institute for Social Development. 2017. Global Trends. Challenges and Opportunities in the Implementation of the Sustainable Development Goals. UNDP and UNRISD, Geneva, Switherland.
  • Zagórski, K. 2018. Opinia publiczna i wyobraźnia ekonomiczna, in: W. Morawski (ed.), Socjologia Ekonomiczna. Warszawa: PWN.
Typ dokumentu
Identyfikator YADDA

Zgłoszenie zostało wysłane

Zgłoszenie zostało wysłane

Musisz być zalogowany aby pisać komentarze.
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.