Courses in Political Science are usually only open for incoming exchange students majoring in Political Science and for exchange students at the School of Social Sciences (Sociology, Psychology). Nominated exchange students will be contacted by their departmental exchange coordinator via e-mail at the end of November/
Exchange students from other schools and departments may only attend classes if (a) places are left for other students (b) they have basic knowledge in political science and statistics (c) the departmental exchange coordinator explicitly approves their participation. In case of further questions, please contact: int-pol@uni-mannheim.de.
Courses in Sociology are usually only open for incoming exchange students majoring in Sociology and for exchange students at the School of Social Sciences (Political Science, Psychology). Nominated exchange students will be contacted by their departmental exchange coordinator via e-mail at the end of November/
Exchange students from other schools and departments may only attend classes if (a) places are left for other students (b) they have basic knowledge in sociology and statistics (c) the departmental exchange coordinator explicitly approves their participation. In case of further questions, please contact: int-soc@uni-mannheim.de.
Description
In addition to a thorough understanding of the substantive field you are studying you need firm methodological and statistical knowledge in order to successfully conduct quantitative social research. This seminar will give you the opportunity to apply and expand your knowledge of social research by replicating published research findings.
The research that we are going to replicate was conducted with data from publicly available survey data like the European Social Survey (ESS), the International Social Survey Programme (ISSP) or the European Values Study (EVS). Data from surveys like these have several advantages: the surveys follow a repeated cross-section design, a research design particularly well suited to study social change; they are comparative surveys allowing you to compare data cross-nationally on a broad range of topics; the surveys follow rigorous methodological standards and, finally, data are available at no cost and can be downloaded from the web.
Replicating published research has the advantage that you are able to check your results against existing results. By trying to replicate previous research you learn where the original researcher has made tacit decisions not documented in the paper (e.g. defining the analysis sample, coding of variables, treatment of missing values). Replicating social research also trains you to judge the validity of research results.
In addition to these primarily pedagogical aspects replicating research is important from an epistemological point of view as well. Through replication of research by independent research groups biases in previous work can be discovered and findings can be validated (see Hendrick 1991, King 1995).
Assignment
Participants should choose a published paper and try to replicate the findings reported in it using the same data. The results to be replicated often will be given in a table containing the outcome of a multivariate model. Please document each step in your attempt to replicate the findings, report and explain the decisions you had to make during data preparation and data analysis. If you fail to replicate the results please indicate possible explanations. Your paper should not exceed 5,000 words; please add your documented syntax in the appendix.
Papers should be delivered in electronic form no later than August 2, 2021.
Program
March 5, 2021, Linear regression
Knesebeck, Olaf von dem, Nico Dragano and Johannes Siegrist, 2005: Social capital and self-rated health in 21 European countries. GMS Psycho-Social-Medicine 2. http://www.egms.de/static/pdf/journals/psm/2005–2/psm000011.pdf (2014–02-09)
March 26, 2021, Logistic regression
Knesebeck, Olaf von dem, Nico Dragano and Johannes Siegrist, 2005: Social capital and self-rated health in 21 European countries. GMS Psycho-Social-Medicine 2. http://www.egms.de/static/pdf/journals/psm/2005–2/psm000011.pdf (2014–02-09)
Bambra, Clare, und Terje A. Eikemo. 2009. Welfare state regimes, unemployment and health: a comparative study of the relationship between unemployment and self-reported health in 23 European countries. Journal of Epidemiology and Community Health 63:92–98.
April 16, 2021, Probit regression
Humphreys, Brad, Katerina Maresova und Jane Ruseski. 2012. Institutional Factors, Sport Policy, and Individual Sport Participation: An International Comparison. University of Alberta, Department of Economics, Institute for Public Economics: Working Paper No. 2012–01.
May 7, 2021, Ordered logit
Wang, Miao, und Man Chiu Sunnz Wong. 2011. Leisure and happiness in the United States: evidence from survey data. Applied Economics Letters 18:1813–1816.
May 21, 2021, Measurement I
Green, Eva G. T. 2009. Who Can Enter? A Multilevel Analysis on Public Support for Immigration Criteria across 20 European Countries. Group Processes and Intergroup Relations 12:41–60.
June 4, 2021, Multi-level modelling I
Green, Eva G. T. 2009. Who Can Enter? A Multilevel Analysis on Public Support for Immigration Criteria across 20 European Countries. Group Processes and Intergroup Relations 12:41–60.
June 11, 2021, Multi-level modelling II
Pampel, Fred C. 2012. Does reading keep you thin? Leisure activities, cultural tastes, and body weight in comparative perspective. Sociology of Health & Illness 34:396–411.
Gerhards, Jürgen, Silke Hans und Michael Mutz. 2013. Social Class and Cultural Consumption: The Impact of Modernisation in a Comparative European Perspective. Comparative Sociology 32:160–183.
References *
A Statistical modeling
* Bauer, Gerrit, 2015: Graphical Display of Regression Results. Pp. 205–224 in: Henning Best and Christof Wolf (eds.): Handbook of Regression Analysis and Causal Inference. London: Sage.
* Best, Henning and Christof Wolf, 2015: Logistic Regression. Pp. 153–172 in: Henning Best and Christof Wolf (eds.): Handbook of Regression Analysis and Causal Inference. London: Sage.
Gelman, Andrew, und Jennifer Hill. 2007. Data Analysis Using Regression and Multilevel/
Hox, J. J. 2010. Multilevel analysis. Techniques and applications. 2nd Edition. New York: Routledge.
Long, J. S., und J. Freese. 2014. Regression models for categorical dependent variables using Stata. 3rd Edition. College Station: Stata Press.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Thousand Oaks, CA: Sage Publications.
* Long, J. Scott, 2015: Regression Models for Nominal and Ordinal Outcomes. 173–204 in: Henning Best and Christof Wolf (eds.): Handbook of Regression Analysis and Causal Inference. London: Sage.
Menard, Scott. 1995. Applied Logistic Regression Analysis. Thousand Oaks, CA: Sage.
* Meuleman, Bart, Geert Loosveldt and Viktor Emonds, 2015: Regression analysis: Assumptions and Diagnostics. Pp. 83–110 in: Henning Best and Christof Wolf (eds.): Handbook of Regression Analysis and Causal Inference. London: Sage.
* Steenkamp, Jan-Benedict E. M. and Hans Baumgartner, 1998: Assessing Measurement invariance in Cross-National Consumer Research. Journal of Consumer Research, 25: 78–90.
* Wolf, Christof and Henning Best, 2015: Linear Regression. Pp. 57–82 in: Henning Best and Christof Wolf (eds.): Handbook of Regression Analysis and Causal Inference. London: Sage.
B Replication
* Brandt, M. J., IJzerman, H., Dijksterhuis, A., Farach, F. J., Geller, J., Giner-Sorolla, R., van 't Veer, A. 2014: The Replication Recipe: What makes for a convincing replication? Journal of Experimental Social Psychology, 50, 217–224.
* Damian, E., Meuleman, B., & Van Oorschot, W. (2019). Transparency and Replication in Cross-national Survey Research: Identification of Problems and Possible Solutions. Sociological Methods & Research. doi:DOI: 10.1177/0049124119882452
Hendrick, Clyde, 1991: Replications, Strict Replications, and Conceptual Replications: Are They Important? Pp. 41–49 in: James W. Neuliep (ed.): Replication Research in the Social Sciences: Newbury Park, CA: Sage.
* Texts marked with an asterisk as well as all texts containing research to replicate can be downloaded from the course’s space on ILIAS.
Courses in Psychology are usually only open for incoming exchange students majoring in Psychology. Nominated exchange students will be contacted by their departmental exchange coordinator via e-mail at the end of November/
Exchange students from other schools and departments may only attend classes if (a) places are left for other students (b) they have basic knowledge in psychology and statistics (c) the departmental exchange coordinator explicitly approves their participation. In case of further questions, please contact: int-psy@uni-mannheim.de.