Module Owner:
Prof. Dr. Michael Doppelmayr
Displayed in timetable as:
Module 1 M.Sc.
Duration:
1
Number of electives:
0
Credits:
10,0
Teaching methods:
Lecture and Exercise
Group sizes:
See curricular standards from the 1st of July, 2013
Qualification targets/competencies:
Acquisition of Comprehensive Skills:
- formulation of research-driven questions, their corresponding analyses and critical reflection of the results
- critical reflection and independent application of further statistical concepts as well as methods for evaluating research data (especially multi-variate processes)
Acquisition of broad theory-based knowledge of:
- theories of knowledge acquisition.
- the significance of style and culture in science.
- the possibilities and limits of qualitative methods.
- the combination of qualitative and quantitative methods.
- the entire spectrum of differing approaches to qualitative methods—from “Grounded Theory” to ethnomedology.
- the development of questionnaires, including the production of scales.
- test theory.
- the possibilities and limits of quantitative methods.
- specific qualitative and quantitative methods from various branches of sports science such as training science, kinesiology, sport psychology, sports medicine and sports economics.
Schlüsselqualifikationen:
- Capacity to reflect on scientific findings
- Comprehensive and secure scientific methods in the fields of natural science, social science, and the humanities
- Further knowledge and skills pertaining to both qualitative and quantitative methods
- Sound knowledge of techniques used in scientific works
- The comprehensive development of the skills used for the planning of empirical studies such as the analysis and interpretation of research findings
- Comprehensive and systematic knowledge as a prerequisite for the independent application and transfer of specialized, empirical research and analysis methods to application-oriented and/or base-oriented questions (e.g. as part of a final thesis in the Master and/or doctorate)
Contents:
- In-depth work with statistical software packages for qualitative and quantitative analyses
- Graphical data analysis
- Generalized linear models
- Multivariate analysis of variance
- Explorative and confirmatory factor analysis including scale development
- Structural equation models
- Cluster analyses
- Multiple linear scaling
- Questionnaire design
- Test theory
- Sound handling of significance, effect strength, conditional and absolute probabilities
- History of science (falsificationism, paradigm shift, refusal to use methods) (Popper, Kuhn, Feyerabend)
- Specific approaches to quantitative research
- Quantitative evaluation research, especially satisfaction measurements
- ? Special qualitative research methods beyond the interview (e.g. participating and non-participating observation, document analysis, qualitative experiment)
Applicability of module:
Master of Science Sportwissenschaft
Participation requirements:
None
Zugangsvoraussetzung(en):
None
Types of examination:
Exam from a), b), c) and d) (60 Min)
Value of the grade towards the final grade:
10/96
Frequency of offer:
Yearly (SuSe)
Module administrator and full-time lecturer:
Prof. Michael Doppelmayr
Conditions for allocation of credit points:
Regular and active participation as well as the successful completion of examinations.
Other information:
Literaturempfehlung
- Bachkhaus, K., Erichson, B. & Blinke, W. (2015) Multivariate Analysemethoden: Eine anwendungsorientierte Einführung. Springer Verlag
- Bachkhaus, K., Erichson, B. & Weiber, R. (2015) Fortgeschrittene Multivariate Analysemethoden: Eine anwendungsorientierte Einführung Springer Verlag
- Bhaskar, R. (2013). A realist theory of science. London: Routledge.
- Bortz, J. & Lienert, G.A.( 2008) Kurzgefasste Statistik für die klinische Forschung. Leitfaden für verteilungsfreie Analyse kleiner Stichproben. Heidelberg, Springer.
- Eberhard, K. (1999). Einführung in die Erkenntnis-und Wissenschaftstheorie. Geschichte und Praxis der kon-kurrierenden Erkenntniswege, Weinheim: Kohlhammer.
- Erdfelder, E., Mausfeld, R., Meiser, T. & Rudinger, G. (Hrsg.) (1996). Handbuch Quantitative Methoden. Weinheim: BELTZ PsychologieVerlagsUnion
- Feyerabend, P. (1976) Wider den Methodenzwang. Suhrkamp (stw 597), Frankfurt am Main: Suhrkamp (Against Method. Fourth Edition. Vers. London)
- Field, A. (2013) Discovering statistics using IBM SPSS statistiks Los Angeles, London: Sage.
- Flick, U. (2007). Qualitative Sozialforschung. Eine Einführung. Reinbek bei Hamburg: Rowohlt.
- Flick, U., Kardorf, E. von (2005). Qualitative Forschung: Ein Handbuch. Reinbek bei Hamburg: Rowohlt.
- Groß, J. (2010). Grundlegende Statistik mit R: Eine anwendungsorientierte Einführung in die Verwendung der Statistik Software R. Wiesbaden: Vieweg+Teubner.
- Handl, A. (2002). Multivariate Analysemethoden. Theorie und Praxis multivariater Verfahren unter besonderer Berücksichtigung von S-PLUS. Berlin: Springer.
- Imbens, G.W. Rubin,D.B. (2015) Causal Inference for Statistics, Social, and Biomedical Sciences: An Introduction 1st Edition. Cambridge: University Press.
- Jäckle, S. (Hrsg.) (2017). Neue Trends in den Sozialwissenschaften. Innovative Techniken für qualitative und quantitative Forschung. Wiesbaden: Springer.
- Kuhn, Th. (1962) The Structure of Scientific Revolutions. Chicago: University of Chicago Press.
- Lamnek, S. (2005). Qualitative Sozialforschung, 4. Auflage. Weinheim: BELTZ.
- Popper,K. (1934) Logik der Forschung. (engl.: The logic of scientific discovery). De Gruyter.
- https://monoskop.org/images/e/ec/Popper_Karl_Logik_der_Forschung.pdf
- Raithel, J. (2004). Quantitative Forschung. Wiesbaden: Springer.
- Rudolf, M. & Müller, J. (2012) Multivariate Verfahren. Eine praxisorientierte Einführung mit Anwendungsbeispielen in SPSS. Göttingen, Bern … Hogrefe.
- Sedlmeier, P. & Renkewitz, F. (2013) Forschungsmethoden und Statistik. Ein Lehrbuch für Psychologen und Sozialwissenschaftler. München, Harlow … Pearson Verlag.
- Stegmüller,W. (1983) Probleme und Resultate der Wissenschaftstheorie und Analytischen Philosophie - Erklärung-Begründung-Kausalität Band I, Berlin: Springer
- Weiber, R. & Mühlhaus, D. (2013
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