| Faculteit | Ruimtelijke Wetenschappen |
| Jaar | 2021/22 |
| Vakcode | GEMWDPR |
| Vaknaam | Working with Data in Population Research |
| Niveau(s) | master |
| Voertaal | Engels |
| Periode | semester I a |
| ECTS | 5 |
| Rooster | rooster.rug.nl |
| Uitgebreide vaknaam | Working with Data in Population Research | ||||||||||||||||
| Leerdoelen | (a) Make scientifically sound decisions on the choice of methods to answer specific research questions, as embedded in relevant population research paradigms (b) Apply the qualitative research cycle for design, data collection, and analysis (c) Appraise the process of collection and diffusion of secondary quantitative data (d) Compute and interpret the main demographic measures (e) Reflect on issues of validity, reliability and ethics in population research (f) Document population research findings in a scientific manner |
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| Omschrijving | The course provides an overview of quantitative and qualitative techniques of data collection, their implications in terms of ethics and privacy, and sources and measures used in population-level demographic analysis. The course follows the successive steps of data collection and analysis in population research. Data collection techniques such as focus-group discussion, in-depth interviewing, observation, census, civil registration, survey, and mixed-methods design are critically reviewed and, when possible, applied. Data quality is discussed through quality assurance frameworks, modes of interview and participants recruitment. Ethical considerations are emphasized throughout the whole research cycle, notably in terms of privacy regulations, data management, and reproducibility. Data exploitation is addressed through coding of primary data, acquisition of secondary data, and computation of major demographic measures of population structure and growth, fertility and mortality rates, and their comparison across populations. The course combines formal teaching sessions with online learning material and practical activities, such as group discussions, classroom practical sessions, and computer labs. A special focus is given to research validity and integrity, such as the choice of the adequate method to answer a given research question, evaluation of data quality, and researcher’s attitude. |
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| Uren per week | variabel | ||||||||||||||||
| Onderwijsvorm | Computer practicals, Guest lectures, Independent study, Lectures, Practicals | ||||||||||||||||
| Toetsvorm |
Individual assignments
(Students are expected to follow the online course on Privacy in Research, developed by the Comenius project of the same name, and available on the FutureLearn platform. Proof of completion of this course will be required.) |
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| Vaksoort | master | ||||||||||||||||
| Coördinator | Dr. A.P.P. Remund | ||||||||||||||||
| Docent(en) | dr. B. de Haas , Guest lecturers ,Dr. A.P.P. Remund , Z. Sattari Najafabadi, MSc. | ||||||||||||||||
| Verplichte literatuur |
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| Entreevoorwaarden | Prerequisites for the course are knowledge on using Excel. It is advised that students complete the Excel webclass available on Nestor before the start of part two of the course. | ||||||||||||||||
| Opmerkingen | *This book (Demography: measuring and modeling population processes) is also used within the course Life Table and Population Projections. Compulsory for students of the Master in Population Studies. Elective for Research Master students. For 20-30 students (based on availability of computers). |
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