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Advanced Statistical Analysis
| Faculteit | Ruimtelijke Wetenschappen |
| Jaar | 2017/18 |
| Vakcode | GEMASA |
| Vaknaam | Advanced Statistical Analysis |
| Niveau(s) | master |
| Voertaal | Engels |
| Periode | semester II a |
| ECTS | 5 |
| Rooster | GEMASA |
| Uitgebreide vaknaam | Advanced Statistical Analysis | ||||||||||||||||||||||||||||||||
| Leerdoelen | This course focuses on 1) acquiring the methodological skills to describe and analyse demographic and social data from cross-sectional and longitudinal surveys, 2) managing social survey data using a statistical software package, including creating new variables, dealing with missing values, file merging, et cetera, and 3) acquiring the skills to give a critical assessment of the use of methods in the scientific literature. After the course, students are able to: - select the appropriate method(s) for analyzing research questions (1fh; 2b; 5a) - detect data problems in survey data sources using a statistical software package (STATA) (1eh; 3bc) - provide solutions for data problems (1eh; 2b; 6b) - Apply statistical techniques and diagnostic tests in a statistical software package (STATA) (1f; 2b; 6d) - Explain and write syntax in a statistical software package (STATA) (2b; 5a) - Assess methods in the scientific literature taking into account statistical techniques and diagnostic tests (1b; 2b; 3abc; 4ad; 5c) |
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| Omschrijving | This course focuses on models for the description and analysis of demographic and geographic events and social relationships, such as linear regression, logistic regression and event history models. Students will obtain substantial knowledge and practical experience concerning statistical models for the analysis of discrete and continuous time processes in life domains such as fertility, employment, migration, and health. As quantitative data often contain a temporal dimension, the required statistical tools receive special attention. Through computer lab sessions and assignments, using empirical survey data from social surveys such as the Demographic and Health Surveys and analyzing them in a statistical software package (STATA), students acquire a working knowledge for the choice, specification, estimation and interpretation of various models. Most examples during the course are related to demographic behaviour, but methods can be applied to other social relationships. |
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| Uren per week | 8 | ||||||||||||||||||||||||||||||||
| Onderwijsvorm | Computerpractica, Hoorcolleges | ||||||||||||||||||||||||||||||||
| Toetsvorm |
Individuele opdrachten , Tentamen open opgaven
(SPSS is used for assignments and examination (hence partly digital)) |
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| Vaksoort | master | ||||||||||||||||||||||||||||||||
| Coördinator | dr. M. van Duijn | ||||||||||||||||||||||||||||||||
| Docent(en) | prof. dr. C.H. Mulder ,dr. M. van Duijn | ||||||||||||||||||||||||||||||||
| Verplichte literatuur |
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| Entreevoorwaarden | It is assumed that students are familiar with concepts related to demography and economic geography. Furthermore, students are expected to have basic knowledge of Statistics and Mathematics. | ||||||||||||||||||||||||||||||||
| Opmerkingen | Compulsory course unit for students Population Studies. Elective course unit for many other MSc degrees. Research Master students make an additional assignment, in consultation with the lecturer. | ||||||||||||||||||||||||||||||||
| Opgenomen in |
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