Syllabus
Registration via LPIS
Day | Date | Time | Room |
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Wednesday | 03/03/21 | 10:00 AM - 12:00 PM | Online-Einheit |
Friday | 03/05/21 | 10:00 AM - 12:00 PM | Online-Einheit |
Wednesday | 03/10/21 | 10:00 AM - 12:00 PM | Online-Einheit |
Friday | 03/12/21 | 10:00 AM - 01:00 PM | Online-Einheit |
Wednesday | 03/17/21 | 10:00 AM - 12:00 PM | Online-Einheit |
Friday | 03/19/21 | 10:00 AM - 12:00 PM | Online-Einheit |
Wednesday | 03/24/21 | 10:00 AM - 12:00 PM | Online-Einheit |
Friday | 03/26/21 | 10:00 AM - 12:00 PM | Online-Einheit |
Wednesday | 04/14/21 | 10:00 AM - 12:00 PM | Online-Einheit |
Friday | 04/16/21 | 10:00 AM - 12:00 PM | Online-Einheit |
Wednesday | 04/21/21 | 10:00 AM - 12:00 PM | Online-Einheit |
Friday | 04/23/21 | 10:00 AM - 12:00 PM | Online-Einheit |
Wednesday | 04/28/21 | 10:00 AM - 12:00 PM | Online-Einheit |
Friday | 04/30/21 | 10:00 AM - 12:00 PM | Online-Einheit |
Wednesday | 05/05/21 | 09:00 AM - 12:00 PM | Online-Einheit |
Friday | 05/07/21 | 10:00 AM - 12:00 PM | Online-Einheit |
Wednesday | 05/12/21 | 09:00 AM - 12:00 PM | Online-Einheit |
Friday | 05/14/21 | 10:00 AM - 12:00 PM | Online-Einheit |
Wednesday | 05/19/21 | 09:00 AM - 12:00 PM | Online-Einheit |
Friday | 05/21/21 | 10:00 AM - 12:00 PM | Online-Einheit |
Wednesday | 05/26/21 | 10:00 AM - 12:00 PM | Online-Einheit |
This course provides an introduction to qualitative and quantitative research methods and will provide information on 1) methodological underpinnings of research methods and research designs 2) different methods 3) use of statistical software 4) applications to test data, and finally 5) the combination of quantitative and qualitative approaches in a fruitful manner.
Topic-wise, this course has an emphasis on empirical applications in mobility and transport. As discrete choices (for instance between transport modes; between different policies) play an important role here, the quantitative part of the course will focus on the estimation of discrete choice models using the new R package Apollo. The qualitative part will emphasize the user perspective on transport and mobility and provide research strategies to assess this perspective.
Besides becoming acquainted with qualitative and quantitative research methods, students will learn to critically reflect on applications of these methods, thereby building a foundation for the development of own research projects in the winter term.
After successful completion of this introduction, students will be able to:
General:
- understand different research methods and strategies
- know how to use various tools for empirical analysis
- understand the significance of quantitative as well as qualitative empirical research
- critically reflect on quantitative and qualitative methods (as for instance used in published empirical studies)
- gain familiarity with methods frequently used in the area of mobility and transportation
Qualitative part:
- get to know the components of a research process
- apply qualitative sampling strategies
- design an interview guideline
- reflect on research ethics
Quantitative part:
- gain a good understanding of discrete choice models (relevance, potential data sources, interpretation of results, etc.)
- use statistical methods for the analysis of discrete choice data
- use various software packages: this course will mostly use R
Students are required to attend at least 80% of the course sessions. For most sessions, it will be possible to participate remotely. If you miss a class, please inform us in advance!
The course will take place in hybrid mode.
Lectures, discussions, student presentations, computer tutorials, use of statistical software packages
Students are expected to:
- participate in all courses (80% attendance of the class is required! If you miss a class, please inform us in advance)
- complete the qualitative and quantitative individual assignments
- complete the qualitative and quantitative open book tests
Grading is based on your contributions in the quantitative and qualitative part:
- Qualitative part: in class contributions: 10 pts
- Qualitative part: assignments: 20 points
- Qualitative part: exam: 20 points
- Quantitative part: in class contributions: 10 pts
- Quantitative part: assignments: 20 points
- Quantitative part: exam: 20 points
Overview:
- In class contributions, oral presentations: 20%
- Assignments 40%
- Exams: 40%
Overall, 100 points can be reached. Minimum points for each grade are as follows:
5 -
4 61
3 71
2 81
1 91
Prior experience with the estimation of basic statistical models is recommended, but not mandatory.
Assignments and exams
Quantitative Assignments
- Assign. 1: Home assignment (10 points) – individual tasks; submit on Learn@WU until May 17, 2021 (11pm)
- Estimation of a multinomial logit model based on computer lab session on May 12
- Assign. 2: Home assignment (10 points) – individual task; submit on Learn@WU until May 24, 2021 (11pm)
- Estimation of advanced choice models based on computer lab session on May 1
- Exam: Open Book Test (handwritten) for 1 hour (20 points) on May 21, 202
Qualitative Assignments
- Assign. 1: Presentation: (10 points) a (team) presentation of about 10 minutes in sum!
- Students present the main aspects of a methodological text or a journal article discussing a qualitative research project. You focus on research question, research objectives, sampling, methodology and method, the role of the researcher and level and type of findings.
- You are prepared to illustrate the respective topic of the seminar unit with your example
- Assign. 2: WORKSHOP (10 points): students in a team will give a short 10-15 min presentation of the methods’ they have chosen to apply
- provide a transcript (interview, focus group etc.) or observational protocol
- reflect about your experiences in the field
- In the Course: write a memo
- Exam: Open Book Test (handwritten) for 1 hour, answer 5 open questions (20 points)
Unit | Date | Contents |
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1 | 03.03.2021 | Content: Introduction How to combine qualitative and quantitative methods in mixed methods research? Literature: Creswell, J. & Plano C., V. L (2011). Designing and Conducting mixed methods research. Thousand Oaks, Calif: Sage; 2011, Chapter 1; 4 |
2 | 05.03.2021 | Content: What is qualitative research? The perspective of the participants. What data can we generate/analyze in qualitative research? What are the results (products) of qualitative research? Literature (obligatory): Gray, D.E. (2009). Doing research in the real world. Sage: London, Chapter 2: Theoretical perspectives and research methodologies, pp. 15-38 (Overview). Literature (recommended): Strauss, A. & Corbin, J. (1990). Basics for qualitative research: grounded theory procedures and techniques. Los Angeles a.o.: Sage, Introduction, p. 1-17; Getting Started, p. 33-40. Denzin, N.K. & Lincoln, Y.S. (2013). Introduction. The Discipline and Practice of Qualitative Research. In: N. Denzin & Y.S. Lincoln, The Sage Handbook of Qualitative Research. Los Angeles ao: Sage, p. 1-19 |
3 | 10.03.2021 | Content: The qualitative research process Iterative vs. linear research process Guiding principles for qualitative research Sampling strategies in qualitative research Literature (obligatory): Berger, R. (2015). Now I see it, now I don’t: researcher’s position and reflexivity in qualitative research. Qualitative Research, 15(2), 219–234. https://doi.org/10.1177/1468794112468475 Article that can be chosen for presentation Sattlegger, L. & Rau, H. (2016). Carlessness in a car‐centric world: A reconstructive approach to qualitative mobility biographies research, Journal of Transport Geography (53), 22-31 https://doi.org/10.1016/j.jtrangeo.2016.04.003. Literature (recommended): Flick, Uwe (2018). Criteria in qualitative research. In: Uwe Flick, Managing Quality in qualitative research. Los Angeles a.o.: Sage, pp.25-39. Strauss, Anselm & Juliet, Corbin (1995). Basics for qualitative research: grounded theory procedures and techniques. Los Angeles. a.o.: Sage. Sampling Strategies: Palinkas, L. A. (2015). Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research. Administration and Policy in Mental Health and Mental Health Services Research, 4, 533–544. DOI 10.1007/s10488-013-0528-y Strauss, A. & Corbin, J. (1990). Basics for qualitative research: grounded theory procedures and techniques. Los Angeles a.o.: Sage: Chapter: Theoretical Sampling, 176-193. Mores, J. M. (2007). Sampling in Grounded Theory. In: Antony Bryant, Kathy Charmaz (Eds.), The Sage Handbook of Grounded Theory. Los Angeles a. o. : Sage, 229-244. |
4 | 12.03.2021 | Content: The qualitative interview Different approaches of qualitative interviews Which type of interview fits which research purpose/question? Articles that can be chosen for presentation: Basmajian, C. “Turn on the radio, bust out a song”: the experience of driving to work. Transportation 37, 59–84 (2010). https://doi.org/10.1007/s11116-009-9220-1. (Narration) Lisa Davison, Marcus Enoch, Tim Ryley, Mohammed Quddus, Chao Wang, (2012). Identifying potential market niches for Demand Responsive Transport, Research in Transportation Business & Management 3, 50-61. https://doi.org/10.1016/j.rtbm.2012.04.007. (interviews with experts) Lubin, A., & Feeley, C. (2016). Transportation Issues of Adults on the Autism Spectrum: Findings from Focus Group Discussions. Transportation Research Record, 2542(1), 1–8. https://doi.org/10.3141/2542-01 (focus groups) Literature (recommended): Roulston K, deMarrais K, Lewis JB. Learning to Interview in the Social Sciences. Qualitative Inquiry. 2003;9(4):643-668. doi:10.1177/1077800403252736 Roulston, K & Choi, M. (2018). Qualitative Interviews. In: Flick, U. The Sage handbook of qualitative data collection, Los Angeles ao.: Sage. 233-249. Bogner, Alexander; Littig, Beate; Menz, Wolfgang (2009). Interviewing Experts. Basingstoke: palgrave: Macmillan. Scheibelhofer, Elisabeth (2008). Combining Narration‐Based Interviews with Topical Interviews: Methodological Reflections on Research Practices, International Journal of Social Research Methodology, 11(5), 403-416, DOI: 10.1080/13645570701401370 Legard, R., Keegan, J., &. Ward, K. (2003). In-depth interviews. In J. Ritchie & J. Lewis (Eds.), Qualitative Johnson, J. M. (2002). In-depth interviewing. In J. F. Gubrium & J. A. Holstein (Eds.), Handbook of |
5 | 17.03.2021 | Content: Focus groups Online focus groups Participant Observation, Ethnography Articles that can be chosen for presentation: Justin Spinney (2011) A Chance to Catch a Breath: Using Mobile Video Ethnography in Cycling Research, Mobilities, 6:2, 161-182, DOI: 10.1080/17450101.2011.552771 (Video-Observation) Soliz, Aryana (2021). Divergent infrastructure: Uncovering alternative pathways in urban velomobilities, Journal of Transport Geography, 90. https://doi.org/10.1016/j.jtrangeo.2020.102926. (participant observation) Alan Latham, Michael Nattrass, Autonomous vehicles, car-dominated environments, and cycling: Using an ethnography of infrastructure to reflect on the prospects of a new transportation technology, Journal of Transport Geography 81. https://doi.org/10.1016/j.jtrangeo.2019.102539. (ethnography) Literature (recommended): Qualitative Observation: Adler, P. & Adler, P. (1994). Observational Techniques. In: N. Denzin and Y. S. Lincoln (Eds.), Handbook of qualitative research. Thousand oaks a.o.: Sage, 377-392. Participant Observation: Spradley, J. D. (1980). Participant Observation. Forth Worth: Harcourt Brace. Atkinson, P. & Hammersley, M. (1994). Ethnography and participant observation. In: N. Denzin and Y. S. Lincoln (Eds.), Handbook of qualitative research. Thousand oaks a.o.: Sage248-261. Ethnography Hammersley, M. & Atkinson, P. (2007) Ethnography. Principles in pratice. London & New York: routledge. Focus Groups: Morgan, D. L. (2012). Focus groups and social interaction. In: J. F. Grubium, J. A. Holstein, A. B. Marvasti, & K. D. McKinney (Eds.) The SAGE handbook of interview research. The complexity of the craft, 161-176. Morgan, D. L. & Hoffman, K. (2018). Focus Groups. In: U. Flick (Ed.) The SAGE handbook of qualitative data collection, London a.o.: Sage, 250-263. Hydén L-C; Bülow PH (2003): Who's talking: drawing conclusions from focus groups—some methodological considerations, Int. J. Social Research Methodology, 6:4, 305-321 DOI:10.1080/13645570210124865 Kitzinger, J. (2005): Focus group research: using group dynamics to explore perceptions, experiences and understandings In: Holloway, I. (2005). Qualitative Research in Health Care. Maidenhead: McGraw-Hill Education, 56-70. Online Focus Groups: Abrams, Katie M.; Gaier, Ted J. (2017): Online Focus Group. In The Sage Handbook of online research methods. Los Angeles u.a. SAGE, 435-450. Woodyatt, C. R.; Finneran, C. A.; Stephenson, R. (2016): In-Person Versus Online Focus Group Discussions: A Comparative Analysis of Data Quality. Qualitative Health Research. 26(6) 741–749 |
6 | 19.03.2021 | Content: Data Analysis: Quality in qualitative data analysis Interpretation, hermeneutics Grounded theory (Memo writing) Articles that can be chosen for presentation: Lueger, Manfred; Sandner, Karl, Meyer, Renate & Hammerschmid, Gerhard (2005). Contextualizing Influence Activities: An Objective Hermeneutical Approach, p. 1145-1168. Silva, C., Moeckel, R., & Clifton, K. (2020). Proof of Concept for a Grounded Theory Approach to Understanding Interactions Occurring on Bicycle Facilities. Transportation Research Record, 2674(10), 94–104. https://doi.org/10.1177/0361198120943588 Anna Nikolaeva, Marco te Brömmelstroet, Rob Raven, James Ranson, (2019). Smart cycling futures: Charting a new terrain and moving towards a research agenda, Journal of Transport Geography 79. https://doi.org/10.1016/j.jtrangeo.2019.102486. Literature (recommended): Hermeneutics Reicherts, Jo (2004): Objective Hermeneutics and Hermeneutic Sociology of Knowledge. In Flick et al (Ed.) A Companion to qualitative research. 2004, Sage Grounded Theory: Charmaz, K. (2011). Constructing grounded theory. London: Sage. (chapters Coding, Memo-writing) Bryant, Antony; Charmaz, Kathy (2007). Introduction. Grounded Theory Research: Methods and Practices. In: A. Bryant, K. Charmaz (Eds.), The Sage Handbook of Grounded Theory. Los Angeles a. o. : Sage, 1-28. Kelle, U. (2007). The development of categories: different approaches in Grounded Theory. In: A. Bryant, K. Charmaz (Eds.), The Sage Handbook of Grounded Theory. Los Angeles a. o. : Sage, 191-213. Lempert, L. B. (2007). Asking questions of the data: memo writing in the grounded theory tradition. In: A. Bryant, K. Charmaz (Eds.), The Sage Handbook of Grounded Theory. Los Angeles a. o. : Sage, 245-264. Strauss, Anselm & Juliet, Corbin (1990): Basics for qualitative research: grounded theory procedures and techniques. Los Angeles a.o.: Sage. .Chapters: Open/axial/selective coding and Memo-writing Glaser, Barney G.; Strauss, Anselm, 1967: The Discovery of Grounded Theory. Strategies for Qualitative Research. Chicago u.a.: Aldine Publishing Company. |
7 | 24.03.2021 | Content: Data Analysis: - Qualitative content analysis - Computer based Qualitative Analysis Articles that can be chosen for presentation: Lopez Jaramillo, O., Stotts, R., Kelley, S., & Kuby, M. (2019). Content Analysis of Interviews with Hydrogen Fuel Cell Vehicle Drivers in Los Angeles. Transportation Research Record, 2673(9), 377–388. https://doi.org/10.1177/0361198119845355 Weber, F., Juschten, M., Fanninger, C., Brandenburg, C., Jiricka-Pürrer, A., Czachs, C., & Unbehaun, W. (2018). ‘Sommerfrische’in Times of Climate Change: A Qualitative Analysis of Historical and Recent Perceptions of the Term. In Contemporary Challenges of Climate Change, Sustainable Tourism Consumption, and Destination Competitiveness. Emerald Publishing Limited. Literature (obligatory): Content Analysis: Schreier, Margit (2012). Introduction: What is content analysis? In: Margit Schreier, Qualitative content analysis in practice, 1-19. Schreier, Margit (2014). Qualitative Content Analysis. In: Uwe Flick, The Sage Handbook of qualitative Data analysis. Los Angeles a.o.: Sage, 170-183 |
8 | 26.03.2021 | Content: Research ethics Preparing for methods application Literature (obligatory): Iphofen, R. (2009). Ethical decision-making in social research. Hants: Palgrave Macmillan Basingstoke. Chapter 1: The problem in ethical decision-making in social research, pp. 1-17 Articles that can be chosen for presentation: Articles about research ethics; depends on students interest Literature (recommended): The EU General Data Protection Regulation (GDPR), in particular Art. 6 para. 1 lit. a (consent) and Art. 9 para. 2 lit. j (research purposes in the public interest) |
9 | 14.04.2021 | Content: Qualitative workshop To Do: Students present their experiences in applying methods. They bring along their transcripts, observation protocols, Interview guides, method reflections… We will analyze qualitative material in groups Literature: methods' application |
10 | 16.04.2021 | Content: To Do: Students present their experiences in applying methods. They bring along their transcripts, observation protocols, Interview guides, method reflections… We will analyze qualitative material in groups Literature: methods' application |
11 | 21.04.2021 | Open Book Test |
12 | 23.04.2021 | Content: From qualitative to quantitative research: advantages and disadvantages of each method Some Examples: Lienhoop, N. (2018). Acceptance of wind energy and the role of financial and procedural participation: An investigation with focus groups and choice experiments. Energy Policy, 118, 97-105. Kolarova, Viktoriya. "Exploring the elements and determinants of the value of time for manual driving and autonomous driving using a qualitative approach." Transportation research record (2020): 0361198120953770. Powe, N. A., Garrod, G. D., & McMahon, P. L. (2005). Mixing methods within stated preference environmental valuation: choice experiments and post-questionnaire qualitative analysis. Ecological economics, 52(4), 513-526. |
13 | 28.04.2021 | Content: Introduction to quantitative methods Topics Covered:
Literature:
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14 | 30.04.2021 | Content: Introduction to regressions with continuous and discrete dependent variables Topics Covered:
Huntington-Klein, N. (2021) The effect - an introduction to research design and causality, Chapter 13: https://www.nickchk.com/book/The_Effect_DRAFT_DO_NOT_REHOST.pd Telling Stories with Data: https://www.tellingstorieswithdata.com/its-just-a-linear-model.html#overview Koster, H.R.A (2019). Discrete choice for spatial economics. https://www.urbaneconomics.nl/wp-content/uploads/2020/11/Discrete-Choice-syllabus.pdf |
15 | 05.05.2021 | Content: Computer Lab: Introduction to R, data management, descriptive statistics Literature: Wickham, H.& Grolemund, G. (2017). R for data science: https://r4ds.had.co.nz/index.html Resources at WU:
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16 | 07.05.2021 | Content: Introduction to discrete choice modelling Literature (obligatory): Train, K. E. (2009). Discrete choice methods with simulation. Cambridge university press. Ch. 3 Topics Covered:
Train, K. E. (2009). Discrete choice methods with simulation. Cambridge university press. Ch. 1, 2 and 3 https://eml.berkeley.edu/books/choice2.html https://www.urbaneconomics.nl/wp-content/uploads/2020/11/Discrete-Choice-syllabus.pdf Examples: Mouter, N., Cabral, M. O., Dekker, T., & van Cranenburgh, S. (2019). The value of travel time, noise pollution, recreation and biodiversity: A social choice valuation perspective. Research in Transportation Economics, 76, 100733. Chorus, C., Sandorf, E. D., & Mouter, N. (2020). Diabolical dilemmas of COVID-19: An empirical study into Dutch society’s trade-offs between health impacts and other effects of the lockdown. PloS one, 15(9), e0238683. Gaker, D., Vautin, D., Vij, A., & Walker, J. L. (2011). The power and value of green in promoting sustainable transport behavior. Environmental Research Letters, 6(3), 034010. Manaugh, K., Boisjoly, G., & El-Geneidy, A. (2017). Overcoming barriers to cycling: understanding frequency of cycling in a University setting and the factors preventing commuters from cycling on a regular basis. Transportation, 44(4), 871-884. Unbehaun, W., Uhlmann, T., Hössinger, R., Leisch, F., & Gerike, R. (2014). Women and men with care responsibilities in the Austrian Alps: Activity and mobility patterns of a diverse group. Mountain Research and Development, 34(3), 276-290. Stark, J., Frühwirth, J., & Aschauer, F. (2018). Exploring independent and active mobility in primary school children in Vienna. Journal of transport geography, 68, 31-41. |
17 | 12.05.2021 | Content: Computer Lab: Estimation of MNL models Literature/Resources: R package for discrete choice modelling: http://www.apollochoicemodelling.com/ To Do: Assignment I (due 17.05.2021, 11pm) |
18 | 14.05.2021 | Content: Discrete choice modelling: advanced discrete choice models Literature: Train, K. E. (2009). Discrete choice methods with simulation. Cambridge university press. Ch. 4, 6, 8 Greene, W. H., & Hensher, D. A. (2003). A latent class model for discrete choice analysis: contrasts with mixed logit. Transportation Research Part B: Methodological, 37(8), 681-698. |
19 | 19.05.2021 | Content: Computer Lab: Estimation of advanced discrete choice models Literature/Resources: R package for discrete choice modelling: http://www.apollochoicemodelling.com/ To Do: Assignment II (due 24.05.2021, 11pm) |
20 | 21.05.2021 | Open Book Test |
21 | 26.05.2021 | Content: Retrospection of qualitative and quantitative Methods Potentials of Mixed Methods Design Collecting ideas and plans of students for research projects in Course II (winter semester) To Do: Think about your research interest for applied research in Course II |
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