Statistical Methods in Geography of the World 1900-3-ZMS-GSW

- The concept of measures and indicators, their appropriate selection, skillful formulation of goals and methods for monitoring them,
- The use of measures and indicators in creating and monitoring strategic documents,
- The most common errors in statistical analysis, the problem of poor data quality in developing countries,
- Calculating the Gini index and analyzing its values in individual regions,
- The Lorenz curve and its analysis,
- Calculating the HPI and HDI indices,
- Applying the standardization method,
- Applying the chi-square test,
- Methods of constructing the GDI and GEM indices,
- Applying the socio-ethnic cohesion coefficient,
- Creating typologies,
- Applying correlations: Spearman and Pearson, Kendall's Tau,
- Applying the point valuation method,
- Parametric tests (Student's t-test)
- Nonparametric tests (K-S, chi-square, Mann-Whitney, Kruskall-Wallis)
- Working with statistical software SPSS,
- operations on large data sets,
- graphical presentation of statistical data.

30-hour classes (2 ECTS):
- 1 ECTS (30 hours) – hours of direct contact with the instructor, i.e., class participation,
- 1 ECTS (20 hours) – student contribution (5 hours of literature review, 10 hours of preparing assignments and written papers, 5 hours of consultations).

Main fields of studies for MISMaP

geography

Course coordinators

Katarzyna Podhorodecka

Type of course

obligatory courses

Mode

Classroom

Prerequisites (description)

Familiarization with indicators and metrics describing the level of globalization in individual countries. Students will acquire the ability to independently calculate metrics and metrics and analyze their values across countries and regions. Mastering the ability to draw conclusions regarding the values of individual metrics.

Learning outcomes

Major learning outcomes: K_W06, K_W10, K_U01, K_U02, K_K03
Specialization learning outcomes: S2_W06, S2_W10, S2_U01, S2_U02, S2_K03

1. in terms of knowledge:
- knows the professional terminology of statistical methods used in geography,
- has basic knowledge of the selection of measures (both qualitative and quantitative) and the appropriate formulation of objectives for strategic documents,
- understands the need to define measures as a means of assessing the degree of achievement of the adopted objective,
- knows and understands the relationship between poor quality statistical data and errors made in quantitative analysis,
- understands the reasons for the spatial variation of measures and indicators describing the degree of globalization,
- knows the principles of graphical presentation of quantitative data,
- knows diverse and international sources of quantitative data,
- knows advanced programs, methods, and techniques that allow for the utilization and shaping of the potential of the natural environment.

Assessment criteria

Participation in tutorials (20% of the grade), preparation for tutorials (80%).
Two unexcused absences from tutorials are permitted.
To pass the tutorials, all assigned work must be submitted.
Work submitted via email.
The tutorials consist of two parts taught by two different instructors, so the score for each part counts for half of the final grade.

Bibliography

1. Runge J., 2006, Metody badań w geografii społeczno-ekonomicznej : elementy metodologii, wybrane narzędzia badawcze, Wydawnictwo Uniwersytetu Śląskiego, Katowice.

2. International Business Machines Corporation, 2021, IBM SPSS Statistics 29 -Podręcznik użytkownika systemu podstawowego, https://www.ibm.com/docs/en/SSLVMB_29.0.0/nl/pl/pdf/IBM_SPSS_Statistics_Base.pdf

3. Jurek K., Praktyczne wykorzystanie IBM SPSS Statistics (wersja 21 PL). Kurs dla użytkowników początkujących i średniozaawansowanych, Lublin, https://pracownik.kul.pl/files/43104/public/Kurs_IBM_SPSS_Statistics_-_Krzysztof_Jurek.pdf

4. Bąk J., 2020, Statystycznie rzecz biorąc, czyli ile trzeba zjeść czekolady, żeby dostać Nobla?, Wydawnictwo W.A.B.