(in Polish) Stosowanie metod statystycznych w badaniach naukowych

obligatory courses

Students attending the course should have previously completed a course in Quantitative Research Methodology and the Basic Scope of Statistics.

Classroom

Classes are aimed at practical use of knowledge and skills in the field of quantitative research methodology and fundamentals of statistics.

In particular, within the coursework, students develop knowledge and skills in the field of: statistical inference, hypothesis testing, factor analysis, multiple regression analysis.

The course is based on the use of publicly available data sets (mainly from representative international studies) to conduct own research and analysis in the area of professional activity, earnings, employment structure, job satisfaction, etc.

Classes consist of three main blocks:

1. At the beginning, students recall and organize knowledge about the research process in quantitative methods (problems, possible research questions, units of analysis), questions of representativeness and interpretation of quantitative data. Discussion of different techniques for collecting quantitative data, challenges and pitfalls.

2. In the next part, students will learn about advanced statistical methods based on concrete examples, as well as publicly available quantitative data sets (e. g. from international surveys).

3. The final block is the realization of the students’ own study using the knowledge and skills from the previous parts. The survey is carried out on the available data and evaluated in terms of the use of statistical analyses (and their correctness).

G. Wieczorkowska, J. Wierzbiński, Statystyka : od teorii do praktyki, Warszawa: Wydawnictwo Naukowe Scholar, 2011.

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.

Metody statystyczne w naukach społecznych : elementy teorii i zadania / Robert Szwed. 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.

The student knows and understands:

- in-depth methodology of social labour market surveys, including methods and techniques of quantitative surveys and statistical analysis (K_W05)

- importance of intellectual property protection (K_W10)

The student can:

- design, plan and conduct social research in the field of labour market and industrial relations, including formulate and test hypotheses related to research problems, using advanced quantitative methods and techniques of social research and statistical analysis (K_U03)

- effectively present in written form the results of their own research and analysis in the field of labour market and industrial relations (K_U04)

The student is ready to:

- taking into account in professional work the principle of priority of scientific knowledge in solving problems, critical assessment of existing knowledge and conscious and responsible use of expert knowledge (K_K01).

The prerequisite for passing the course is:

- attendance at classes (More than 2 absences must be counted towards duty within two weeks of the absence. Lack of preparation for classes indicated by the teacher is tantamount to absence. In case of unjustified absence from more than 4 classes, the student will not pass the course. Failure to take credit for the third or fourth absence also results in failing the course.)

- preparation for classes and activity in classes (knowledge of literature, participation in discussions)

The assessment of the subject consists of activity in classes and an essay - a report of the study conducted on publicly available databases.