Graduate labour market. Check what you can expect after graduation. 3502-FAKL31-LIC
What do graduates of various programmes do? How earns more after studies, men or women? Do career paths of graduates of various disciplines differ?
The main goal of the course is to answer these and many other questions concerning graduates’ labour market performance. Students will work in small groups on a mini-report based on unique dataset i.e. data from the Polish Graduate Tracking System.
The data come from two administrative registers:
1) the national register of students and graduates which is a part of the POL-on system,
2) administrative data of the Social Insurance Institutions (ZUS)
The course consists of four blocks:
First, we will discuss the dataset, its structure, variables etc. and software needed to for efficient data processing.
Second, students will work on simulated data (the structure of the dataset will be identical to the real one and relations between variables will be similar to the observed in the data). At this stage, students will design the analysis and prepare sets of instructions that will be used to analyse the real data.
Third, instruction sets will be run on the real data and students will receive tables with the results. Students will use these results to write mini-reports.
Fourth, students will present their reports in class and discuss the results.
Type of course
elective courses
Mode
Prerequisites
Prerequisites (description)
Learning outcomes
Knows and understands basic sociological concepts
Has basic knowledge of the criteria of inference correctness
Knows basic methods and techniques of social research and can choose appropriate methods to solve basic research problems
Understands the specificity of sociological analysis
Knows how to plan and carry out a simple quantitative study
Is aware of the consequences of choosing a particular theoretical perspective
Can select proper research methods and techniques to conduct an analysis of a particular problem
Can interpret simple social phenomena using basic statistical methods
Can use the basic functions of a chosen computer program for data analysis
Knows and observes the rules of professional ethics, including those pertaining to intellectual property
Is aware of the consequences of ongoing projects
Assessment criteria
In-class activity;
mini research report
Bibliography
Bożykowski, M., Dwórznik, M., Izdebski, A., Jasiński, M., Styczeń, M., Zając, T. (2012). Monitorowanie losów absolwentów uczelni wyższych z wykorzystaniem danych administracyjnych Zakładu Ubezpieczeń Społecznych. Raport cząstkowy. Warszawa: Instytut Badań Edukacyjnych.
Bożykowski, M., Izdebski, A., Jasiński, M., Konieczna-sałamatin, J., Styczeń, M., & Zając, T. (2014). Ścieżki edukacyjne i zawodowe absolwentów Uniwersytetu Warszawskiego. Edukacja, 3(128), 5–21.
Gaebel, M., Hauschildt, K., Mühleck, K., & Smidt, H. (2012). Tracking Learners’ and Graduates’ Progression Paths. TRACKIT. Brussels: European University Association.
Jasiński, M., Bożykowski, M., Chłoń-Domińczak, A., Zając, T., & Żołtak, M. (2017). Who gets a job after graduation? Factors affecting the early career employment chances of higher education graduates in Poland. Edukacja, 143(4). https://doi.org/10.24131/3724.170402
Jasiński, M., Bożykowski, M., Zając, T., Styczeń, M., & Izdebski, A. (2015). Dokładniej, rzetelniej, taniej. Badania oparte na rejestrach publicznych jako szansa dla badań społecznych w polsce. Studia Socjologiczne, 1(216).
Wallgren, A., & Wallgren, B. (2007). Register-based Statistics. Administrative Data for Statistical Purposes. Chichester: John Wiley & Sons.
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: