Předmět Quantitative Methods in Human Geography (KSG / STAGE)
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Další informace
Obsah
1.Introduction to the course. Reading: McGrew et al. Chapter 1.2.Data: variables and spatial variables: measurements, representation, distribution and analysis. Reading: McGrew et al. Chapter 2, pp. 16-30.3.One variable, continuous measurement: Central tendency measures: mean, median, mode; Dispersion measures: range, quartiles, standard deviation, skewness. Reading: McGrew et al. Chapter 3, pp. 37-50.4.Descriptive spatial statistics. Reading: McGrew et al. Chapter 4.5.Hypothesis testing and statistical significance. Reading: McGrew et al. Chapter 8, pp. 115-123.6. Inferential Testing: one variable, continuous measurement. Reading: McGrew et al. Chapter 8, pp. 123-129; Chapter 10, pp. 146-149.7. One and two variables, discrete measurement. Reading: McGrew et at. Chapter 9, pp. 133-137; Chapter 10, pp. 149-153; Chapter 11.8. Correlation and simple linear regression: Reading: McGrew et al. Chapter 13; Chapter 14.9.Inferential Testing: Two variables, continuous measurement. Reading: Janssens et al. Chapter 4, pp. 108-113; Multiple linear regression. Reading: Janssens et al. Chapter 5, pp. 174-183.10. Exploratory factor analysis. Reading: Janssens et al. Chapter 7.11. Cluster analysis. Reading: Janssens et al. Chapter 9.12. Multidimensional scaling techniques. Reading: Janssens et al. Chapter 10.13. Final exam
Získané způsobilosti
At the conclusion of this course, students should be able to: develop an understanding of important theoretical concepts in statistical analysis; gain experience in the application of statistics to spatial and other data using specific statistical software.
Literatura
MCGREW, J. R. ET AL. An Introduction to Statistical Problem Solving in Geography. Boston, MA: McGraw Hill, 2000. ISBN 0-697-22971-8.JANSSENS, W. ET AL. Marketing Research with SPSS. Harlow: Pearson Education, 2008. ISBN 978-0-273-70383-9.SPSS. Base 17 User s Guide. Chicago: SPSS, 2008. ISBN 0-13-185723-1.MILLER, R. ET AL. SPSS for Social Scientists. Basington: Palgrave Mcmillan, 2002. ISBN 0-333-92286-7.MAZZOCCHI, M. Statistics for Marketing and Consumer Research. London: Sage, 2008. ISBN 978-1-4129-1122-1.MCGREW, J. R. ET AL. Workbook to accompany an introduction to statistical problem solving in geography. Boston, MA: McGraw Hill, 2000. ISBN 0-697-22972-6.
Požadavky
Class time will be devoted to lectures and computational labs together. Lecture will cover theoretical material and applications, and lab hour will be devoted to solve additional problem sets and learn the practicalmechanics of using SPSS software. If you own a laptop, please consider bringing it to lab clas. No late assignments will be accepted without prior arrangement. Make-up exams will be given only for approved excused absences.Your final grade for the course will be made up of the following components, and will be evaluated according to the criteria outlined below:1.Lab assignments (10 of 12 are required for students not attending any statistical class at their home university).2.Project. For this project you will be required to work in groups to complete a series of statistical procedures on a data set that will be provided to you. Statistical procedures involve: entering the data into SPSS, performing statistical analyses, interpreting the results and writing up your results into a report. Everyone is required to hand in their own written report for this project. Project will be due at the beginning of final exam.3.Final exam. Problems will be similar to the project. 1. oral presentation: summarizing problem of two particular statistical methods, i.e. how they set up, what they do and how to use them in human geography (40 % of final exam grade). 2. test: three examples of performing statistical analyses with SPSS and interpreting the results (20 % each, 60 % of final exam grade)
Garant
RNDr. Pavel Bednář, Ph.D.
Vyučující
RNDr. Pavel Bednář, Ph.D.