社会学研究中(定量)方法应用的心得体会.pptVIP

Secondary-Data Analysis:Issues and Examples周雪光Stanford University Why secondary data? The role of data in social science research Data availability delimits or expand the horizon of our views, theories, approaches, and knowledge growth French government archive on policing, folklore The role of organizations in social stratification The challenges of collecting first-hand data What is secondary data? Data that has been collected (and analyzed) by others Credibility, and potential for cumulative knowledge The possibility of further use (reanalysis of data) GSS, CPS, PSID – hundreds of research articles New information from the same data, because of new analytical tools, new theoretical perspectives, and new operationalization. An Example: -- The diffusion of medical innovation Coleman et al. (1966) Burt (1987) Marsden and Pololny (1990) Strang Tuma (1993) Bulte and Lilien (2001) A variety of secondary data available Data collected by government agencies Census, industrial survey, firm survey Especial survey/study by government agencies SME firm finance Employment quality survey Data collected by other researchers（ICPSR） Data collected by for-profit databanks （COMPUSTAT，etc.） Considerations in making data accessible in public domain The replicatability in scientific research (recent practice in natural science, economics, and sociology) Accumulation of knowledge The monopoly of data and knowledge Issues related to the use of secondary data An observation：issues are similar to data issues in other types of empirical research Assessment of data quality The purpose, information of the data The population of study, sampling framework and procedures Methods of data collection, response rate Data coding and entry Codebook – questionnaire, coding scheme, etc. Previous research using the data The limitation of secondary data-based research Data quality and representativeness New organizational forms, new environments Different research purposes and inform