| Faculteit | Ruimtelijke Wetenschappen |
| Jaar | 2018/19 |
| Vakcode | GEMWDPR |
| Vaknaam | Working with Data in Population Research |
| Niveau(s) | master |
| Voertaal | Engels |
| Periode | semester I a |
| ECTS | 5 |
| Rooster | GEMWDPR |
| Uitgebreide vaknaam | Working with Data in Population Research | ||||||||||||||||
| Leerdoelen | (a) discuss the existing ways of obtaining demographic data (b) Collect secondary demographic data (c) discuss the quality issues involved in data collection (d) Are aware and respectful of ethical aspects of social science research (e) Have a detailed understanding of qualitative research methods (f) Can construct an instrument for qualitative data collection, such as an interview-guide or observation protocol (g) Have a basic understanding of text analysis as a method of qualitative data-analysis (h) illustrate important concepts in analytical demography, describe and discuss the fundamental ideas behind some of the most important demographic measures and methods (i) calculate and interpret the main demographic measures, including demographic rates and probabilities, and specific fertility, mortality and migration measures (j) independently apply and interpret the outcomes of analytical methods and techniques for the analysis of demographic data at the macro level, i.e. age standardization, decomposition methods, and specific analytical techniques in the field of fertility, mortality and migration (k) can provide arguments for which methods are appropriate to get answers to their research questions (l) write papers in a scientific manner The course also contributes to: (m) develop a critical, independent, creative, pro-active, and resourceful attitude (n) develop a scientific and methodological rigour in doing research (o) learning to work with deadlines and feedback |
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| Omschrijving | The course provides an overview of different demographic data sources, both quantitative and qualitative techniques of data collection, and measures and methods used in the analysis of population-level demographic data. Data sources that we introduce you to include census, register data, and surveys. The covered techniques of data collection include surveys, focus-group discussions, in-depth interviewing, and observation. In addition, we discuss the population pyramid, demographic rates, probabilities, age standardization, decomposition methods, fertility analysis, mortality analysis and migration analysis. Focus is on practical issues, such as which data to use for which research question, how to actually collect demographic data, how to interpret often used demographic measures, and how to conduct demographic analyses. In addition, a critical attitude will be taken, with a focus on ethical issues and data quality issues. The course combines formal teaching sessions with practical activities, such as group discussions, classroom practical sessions, and computer labs. The course will be divided into three parts: the first one dealing with secondary demographic data and quantitative data collection techniques, the second introducing qualitative data collection techniques, and the last one focusing on demographic measures and methods. |
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| Uren per week | variabel | ||||||||||||||||
| Onderwijsvorm | Computer practicals, Guest lectures, Lectures, Practicals | ||||||||||||||||
| Toetsvorm |
Individual assignments
(All exercises need to be graded as sufficient for the student to be evaluated (prerequisite to get a grade). All exercises need to be handed in time. Students will get a second chance to resubmit insufficient exercises before the end of the course. The course will be assessed via an individual assignment that comprises both a quantitative and a qualitative part, and which is worth 100% of the course grade. A minimum graded of sufficient (min 5.5) is required to pass the course.) |
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| Vaksoort | master | ||||||||||||||||
| Coördinator | S. Trias Llimós | ||||||||||||||||
| Docent(en) | A. Bieberstein , B. de Haas, PhD. , Guest lecturers ,prof. dr. F. Janssen | ||||||||||||||||
| Verplichte literatuur |
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| Entreevoorwaarden | Prerequisites for the course are knowledge on differentiating and integrating, and on using Excel. It is advised that students complete an introductory workshop to Excel on Nestor, and that they read preparatory literature on differentiation and integration, before the start of part three of the course (demographic measures and methods). | ||||||||||||||||
| Opmerkingen | *This book is also used within the course Life Table and Population Projections. Compulsory for students of the Master in Population Studies. Elective for ReMa students. 20-30 students (based on availability of computers). |
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