Quantitative Methods in PSaPA (intermediate level) 1600-SZD-SPEC-MI-PA
Classes devoted to the use of statistical analysis methods in the interpretation of quantitative results of social studies, preparing participants to directly use the results of quantitative studies in their scientific work. During the course, students will have the opportunity to conduct their own research project using data (optional): publicly available research conducted in Poland (such as ESS, EVS, WVS, ISSP and others) or results of quantitative research induced by the PhD candidate (e. g. as part of a doctoral dissertation). Classes are aimed at practical use of knowledge and skills in the field of quantitative research methodology and fundamentals of statistics. As part of the classes it is planned to develop knowledge and skills in the field of: statistical inference, hypothesis testing, factor analysis, linear and logistic regression analysis, using a program dedicated to statistical data analysis. The thematic scope of the classes (discussed statistical analyses and problems of quantitative research) will depend on the needs of the PhD students
Type of course
Course coordinators
Learning outcomes
Knowledge | The graduate knows and understands:
WG_01 - to the extent necessary for existing paradigms to be revised - a worldwide body of work, covering theoretical foundations as well as general and selected specific issues - relevant to a particular discipline
within the social sciences
WG_02 - the main development trends in the disciplines of the social sciences in which the education is provided
WG_03 - scientific research methodology in the field of the social sciences
WK_01 - fundamental dilemmas of modern civilisation from the perspective of the social sciences
Skills | The graduate is able to:
UK_05 - speaking a foreign language at B2 level of the Common European Framework of Reference for Languages using the professional terminology specific to the discipline within the social sciences, to the extent enabling participation in an international scientific and professional environment
Social competences | The graduate is ready to
KO_01 - fulfilling the social obligations of researchers and creators
KO_02 - fulfilling social obligations and taking actions in the public interest, in particular in initiating actions in the public interest
KO_03 - think and acting in an entrepreneurial manner
Assessment criteria
Description of requirements related to participation in classes, including the
permitted number of explained absences: The prerequisite for passing the course is attendance at classes (1 absence is allowed) and conducting a research project, the progress of which will be monitored from week to week.
Principles for passing the classes and the subject (including resit session): The assessment of the subject consists of activity in the classes and an essay - a report from the own quantitative study (submitting it in term I or resit session)
Methods for the verification of learning outcomes: Essay - Project
Evaluation criteria: Substantive content of the quantitative research report: correctness of statistical methods used, selection of research questions, formulated hypotheses, analyses and conclusions (75%), and formal side: correctness and legibility of graphical forms of data presentation, preparation of footnotes, formatting of the report text (25%).
Practical placement
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Bibliography
G. Wieczorkowska, J. Wierzbiński, Statystyka: analiza badań społecznych, Warszawa: Wydawnictwo Naukowe Scholar, 2010.
J. Jóźwiak, J. Podgórski, Statystyka od podstaw, Warszawa: Polskie Wydawnictwo Ekonomiczne, 2012.
R. Szwed, Metody statystyczne w naukach społecznych: elementy teorii i zadania, Lublin : Wydawnictwo KUL, 2009.
M. Nawojczyk, Przewodnik po statystyce dla socjologów, SPSS Polska, Kraków 2004.
J. Górniak, J. Wachnicki, Pierwsze kroki w analizie danych. SPSS for Winows. A. Field, Discovering Statistics Using SPSS (and sex and drugs and rock'n'roll) SAGE, 2004, rozdz. 8.
M. Sobczyk, Statystyka opisowa, Wydawnictwo C.H. Beck, Warszawa 2010.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: