Social statistics 2103-L-D2STSP
The lecture aims at:
- showing students that statistical research is a useful tool to deal with research problems,
- preparing the students to conduct statistical research on their own by making them familiar with:
● the methods of collecting and organizing statistical data,
● the most important methods of data analysis within the scope of
population structure, association of variables and phenomenon
dynamics,
● the ways of using chosen statistical paskage for statistical data analysis and presentation
The introductory part will deal with general characteristics of statistical methods, basic statistical concepts and their classifications. Next, we will discuss in detail the stages and types of statistical research. The subsequent lectures will be devoted to the presentation of selected statistical methods, such as:
- analysis of population structure (measures of central tendency, variation, shape and concentration)
- simple correlation and regression (measuring the strength of the association of quantitative and qualitative variables, simple linear regression)
- time-series analysis (individual and aggregate index of dynamics)
The discussion of each group of methods will be preceded by an explanation of how to organize data for the purpose of a given analysis and supplemented by empirical examples and the presentation of the possibilities of using statistical package/program for statistical analysis.
The classes aim at:
- teaching students how to apply the theoretical knowledge presented throughout the lectures in practice,
- motivating students to work systematically,
- developing students’ skills of individual and team work.
Throughout the classes the students will, individually or in groups, organize statistical data, select the methods for data analysis appropriate for specific purposes, determine statistical measures, interpret and critically evaluate the results of research. They will also present the results of their own statistical research.
Lectures + classes =60 hours
Self-study to prepare for lectures and classes = 90 hours
Preparation for tests/exams = 30 hours
Total: 180 hours
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Term 2024L:
Lecture Objectives: The lecture aims to: -demonstrate the usefulness of statistical research for describing and explaining social realities, particularly for solving research problems related to social phenomena. The introductory part of the lecture will provide an overview of statistical methods and basic statistical concepts. It will also address the problem of using so-called "anecdotal evidence." Subsequently, the stages and types of statistical research will be thoroughly discussed. The following lectures will focus on selected statistical methods, including: -structure analysis: assessing average levels, dispersion, skewness, and concentration of one-dimensional distributions. Each group of methods will be introduced with explanations of how to process the data necessary for the specific analysis type. These explanations will be supplemented with empirical examples and demonstrations of the applications of statistical software for data analysis. Thw Objectives of the Practical Exercises : The exercises aim to: -teach students the practical application of knowledge gained from lectures. |
Prerequisites (description)
Course coordinators
Type of course
Mode
Learning outcomes
Learning Outcomes for Graduates:
KNOWLEDGE
1. Graduates have fundamental knowledge about sources of information regarding the structure and dynamics of social phenomena at the national, local, and global levels, as well as methods for acquiring and processing data on social issues.
2. They understand basic statistical concepts and classifications, as well as the most important methods of statistical description.
3. They know how to design and conduct a statistical study, including analyses of relationships between variables.
SKILLS
1. Graduates can design and carry out a simple statistical study using secondary data:
-They can formulate a research problem and translate it into a statistical research objective.
-They can select appropriate data to achieve the research objective.
-They process source data and present it numerically and graphically.
-They choose and apply suitable statistical methods.
-They interpret the results of statistical studies and critically evaluate them.
-They are able to prepare written reports on their statistical research, incorporating knowledge related to social policy.
2. They can plan and organize their own work, as well as build and operate within a task-oriented team.
3. They are proficient in using Excel statistical software for data presentation and analysis.
SOCIAL COMPETENCIES
1. Graduates are prepared to critically assess their own statistical knowledge, external statistical information, and the importance of evidence in the form of statistical research results for social policy as a practical field.
2. They are ready to participate in the preparation of research projects using basic statistical tools.
Assessment criteria
The final written exam, conducted on a computer and taken after completing the practical exercises (computer lab), accounts for 60% of the final grade.
The remaining 40% of the final grade is determined by performance in the practical exercises (computer lab). These exercises include a group-written assignment, which is presented to the class and evaluated by the instructor.
Practical placement
not applicable
Bibliography
Maksimowicz-Ajchel, A., Wstęp do statystyki. Metody opisu statystycznego, Wdawnictwa Uniwersytetu Warszawskiego, Warszawa 2007.
Arciszewska-Leszczuk, A., Kołek, M. F., Józefacka, N. i Iwankowski, P., Metodologia i statystyka. Przewodnik naukowego turysty. Tom 1, PWN, Warszawa, 2023
Additional (not mandatory):
Bąk., J., Statystycznie rzecz biorąc. Czyli ile trzeba zjeść czekolady, żeby dostać Nobla? Wydawnictwo W.A.B, 2020
Griffiths, D., Head First. Statystyka. Edycja Polska. Wydawnictwo Helion 2021 (ebook; Pdf)
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Term 2024L:
Maksimowicz-Ajchel, A., Wstęp do statystyki. Metody opisu statystycznego, Wdawnictwa Uniwersytetu Warszawskiego, Warszawa 2007. Arciszewska-Leszczuk, A., Kołek, M. F., Józefacka, N. i Iwankowski, P., Metodologia i statystyka. Przewodnik naukowego turysty. Tom 1, PWN, Warszawa, 2023 Additional (not mandatory): Griffiths, D., Head First. Statystyka. Edycja Polska. Wydawnictwo Helion 2021 (ebook; Pdf) |
Notes
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Term 2024L:
The final written exam, which students are eligible to take after completing the practical exercises, accounts for 60% of the final grade. The remaining 40% of the final grade is based on the results achieved in the practical exercises. |
Additional information
Additional information (registration calendar, class conductors, localization and schedules of classes), might be available in the USOSweb system: