PHD COURSE GUIDE 2020 2021 - ERASMUS GRADUATE SCHOOL OF SOCIAL SCIENCES AND THE HUMANITIES
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Erasmus Graduate School
of Social Sciences
and the Humanities
PhD
course
guide
2020 - 2021
1
Dear PhD candidates and Our team
supervisors,
Prof.dr. Liesbet van Zoonen Woudestein campus Rotterdam
It is again with pride and joy that we courses have been quite successful and Dean Mandeville building T19-10
present our PhD course guide for the sociable. In the further future we will therefore +31 10 408 23 28
academic year 2020/2021. aim to make our curriculum fully blended, i.e. a vanzoonen@egsh.eur.nl
combination of physical and virtual teaching.
In the last months, our worlds have been turned
upside down due to the COVID-19 pandemic. Our offer of courses again contains both Drs. Jan Nagtzaam Woudestein campus Rotterdam
Nobody could ever foresee that we have to transferable skills workshops and methods Manager Mandeville building T19-04
keep 1.5 meter distance from one another modules. We also offer three new courses: +31 10 408 28 40
and that that it is not very safe to be in close The Focus Group method, Communicating contact@egsh.eur.nl
physical contact. Your Research and Geographical Information
Systems.
We need to comply to these restrictions to Dr. Fadi Hirzalla Woudestein campus Rotterdam
keep ourselves, our loved ones and everyone We wish you a great new academic year, and Senior lecturer and Mandeville building T19-14
else as safe as possible. We have therefore please, as always, do not hesitate to contact methodology consultant +31 10 408 23 28
decided to keep providing our courses online our team if you have questions, comments or hirzalla@egsh.eur.nl
throughout the academic year 20/21, also suggestions.
because we have a tight lift connection to the
19th floor and because our teaching room Roos Kemna Woudestein campus Rotterdam
is too small for 1.5 meter teaching. And, as Communications officer Mandeville building T19-04
many of you will have experienced, our online +31 10 408 28 40
kemna@egsh.eur.nl
Ingeborg Zeeuwen Woudestein campus Rotterdam
Student-assistant Mandeville building T19-04
+31 10 408 23 28
zeeuwen@essb.eur.nl
Enrolment-related questions enrolment@egsh.eur.nl
General questions contact@egsh.eur.nl
2 3
Contents Introduction Course full? Fill in the
notification form
PhD course Is the course full or did you miss the enrolment
programme deadline? Always make sure to fill out the
notification form! We will then be able to
notify you on available places (in case of
cancellations) or new dates. These lists also
Introduction PhD course programme5 For the academic year 2020-2021, give us an indication of the demand for a
we have a mostly online programme. On specific course so we may schedule new
our website, you will find more detailed editions.
Getting started 7 information, including the dates, times,
E-modules: PhD information skills 8
locations and enrolment forms.
Can’t make up your
Methodology consultant 9 We have divided our courses and workshops mind? Use the course
into the following two types:
selector!
1. Methodology and philosophy of science
Qualitative or quantitative data? Collecting
Erasmus University doctoral regulations 10 2. Professional skills or analysing? With over 32 courses in the
Graduate School programme, it can be difficult
The Graduate School advises PhD candidates to make the right choice. Therefore, we have
to always enrol in close consultation with created the course selector. Just answer a
Training and Supervision Plan (TSP) 10
their doctoral supervisor. This ensures that the couple of questions in this online questionnaire
Declaration of Scientific Integrity (DSI) 13 selected courses and workshops fit the Training and you will get a course suggestion.
and Supervision Plan (see page 10).
Consult our online PhD course
guide for more information.
www.egsh.eur.nl/doctoral-education/phd-course-guide
Overview courses and workshops 14-15
Methodology and philosophy of science 17
Professional skills 41 If you have suggestions for improvements or additional
courses and workshops, always feel free to contact the
Graduate School communications officer Roos Kemna.
Contact details
Woudestein campus Rotterdam
Mandeville building T19-04
+31 10 408 28 40 Roos Kemna
kemna@egsh.eur.nl Communications officer
4 5
Erasmus Graduate School
of Social Sciences
and the Humanities
Getting started Security guidelines for fieldwork covers your
and EUR’s responsibility for your well-being,
Download the
PhD
specifically during your fieldwork abroad, the
PhD handbook so-called duty of care.
The large variety of PhD trajectories,
handbook
Erasmus Graduate School
of Social Sciences
and the Humanities
regulations and responsibilities can be
confusing. That is why the Graduate School
has developed the PhD handbook. Security guidelines
The handbook offers an overview of the for field research in
Erasmus Graduate School most relevant information pertaining to complex, remote and
Security guidelines for field research in complex, remote and hazardous places
your PhD project at Erasmus University hazardous places
Rotterdam (EUR).
of Social Sciences The PhD handbook is written as a general
and the Humanities
manual for PhD candidates at the Erasmus
Graduate School of Social Sciences and the
Humanities (EGSH). Keep in mind that particular Dorothea Hilhorst
Lucy Hodgson
regulations and procedures will vary between
Bram Jansen
departments, which will be clearly indicated
Erasmus University Rotterdam (EUR)
Erasmus Graduate School of Social Sciences
Rodrigo Mena
whenever relevant.
and the Humanities (EGSH)
Woudestein campus
Mandeville building T15-33
Burgemeester Oudlaan 50
3062 PA Rotterdam, The Netherlands
The handbook consists of six parts:
T +31 10 408 2607
E contact@egsh.eur.nl
www.egsh.eur.nl
About provides a short instruction to the
Graduate School, Erasmus University
Rotterdam and its two host cities Rotterdam
Visit our website to download our
and The Hague.
handbook on security guidelines
for fieldwork.
Getting started provides a hands-on practical www.egsh.eur.nl/ doing-your-phd/
guide on how to get started, roughly covering fieldwork-and-security
the first weeks of your PhD.
Erasmus University doctoral regulations The final phase of your PhD introduces the
provides an overview of the mandatory parts of procedures and customs of your PhD defence
the EUR doctoral regulations you must comply and the available resources for further career
with. This includes several important tools to development.
manage your PhD trajectory.
Visit our website for more information,
Task and responsibilities describes the and to download the latest version of
main tasks you have as a PhD candidate, the PhD handbook.
distinguishing between doing research, www.egsh.eur.nl/doing-your-phd/phd-handbook
attending courses and teaching.
6 7
E-modules Methodology consultant
PhD information skills Dr. Fadi Hirzalla
In cooperation with the Erasmus University As a PhD candidate, you may run into issues about your
Library, the Graduate School has developed research methodology for which your supervisory team
a series of e-modules in PhD information does not have immediate solutions. Or sometimes you
skills. These modules consist of short videos, may just feel the need to have a longer discussion about
activating exercises and explanatory texts. methodology. In such cases, you can make an appointment
with the Graduate School’s senior lecturer and methodology
The online portal includes training modules consultant dr. Fadi Hirzalla.
on the responsible use of information,
research data management, optimising Fadi specialises in quantitative and qualitative methods
literature search techniques, publication and methodology. In addition, he has substantive interests
strategies and much more. in citizenship and new media, with a particular focus on
intercultural relations and young people. Prior to joining the “Methodological issues are
Graduate School, he worked at the University of Amsterdam the core of a PhD experience
(UvA), Utrecht University (UU) and the London School of and timely expert advice is
at times crucial. Fadi is very
Economics (LSE). knowledgeable and, as a true
educator, he does not tell
Fadi can help you with reflection and concrete advice on you what to do; he clarifies
your research methods, or function as an intermediary to the consequences of several
The e-modules are complementary to our existing courses on information skills. scenarios. It is up to the
bring you into contact with other experts.
researcher to decide to
• Doing the literature review (see page 23) utilise a specific tool.”
• Responsible research data management (see page 49)
• Searching and managing your literature (see page 36) Feedback PhD candidate
• Visual exploration of scientific literature with VOSviewer (see page 39) Methodology consultant
The e-modules can be found in the Training & Support Fill in the form on our website to schedule an appointment
Visit our
portal of website for more
the University information on the e-modules.
Library:
www.egsh.eur.nl/doctoral-education/online-information-skills-support with dr. Fadi Hirzalla.
https://libguides.eur.nl/informationskills
www.egsh.eur.nl/doctoral-education/methodology-consultant/
8 9
Erasmus University PhD candidates are in addition advised to keep a portfolio with all realised research and teaching
output as an appendix to the TSP document, as a way to indicate how the initially intended
doctoral regulations activities and planning were changed or expanded in the course of time.
More information
All Erasmus University PhD candidates must comply with the EUR doctoral regulations. No matter Consult our website for more information.
www.egsh.eur.nl/doing-your-phd/doctoral-regulations/
whether you have an employment contract with EUR or only a hospitality agreement. If you are training-and-supervision-plan/
doing a PhD at EUR, these regulations apply to you. Several elements of the regulations pertain to
PhD training.
Training and Supervision Plan (TSP) Hora Finita
The Training and Supervision Plan (TSP) is intended to help monitor and discuss the progress Hora Finita (HF) is the PhD follow-up system. This system will support three parts of a PhD
of your PhD project during regularly scheduled evaluation meetings. PhD candidates and their trajectory:
supervisory team are responsible for drafting, updating and complying with the TSP.
1. Registration: admission of a PhD
The Graduate School recommends that PhD candidates and their supervisors develop and candidate to a PhD trajectory. More information
determine a TSP within the first two months of a PhD project. 2. Progress monitoring: Training Download the manual for a step-by-step
and Supervision Plan, achieved guide of HF, specified to the different
TSPs tend to differ between departments and disciplines, but generally they include the following: European Credits (ECs), actions that you have to perform. The
execution of research, progress faculty contacts for HF support are also
interviews etc. listed there.
www.eur.nl/en/research/phd-eur/
3. PhD defence: from manuscript phd-defence-ceremonies/phd-defence-procedure/
• The names of the supervisors submission to PhD defence.
• An indication of how often the PhD candidate and their supervisors meet
• In the first couple of months, meeting your supervisor/s once every two weeks is
considered a minimum; once every week is preferable.
• Conditions for and planning of contract extensions (if applicable)
• An overview with the planning of all intended research deliverables, such as literature
reviews, research papers and presentations
• Suggestions for courses the PhD candidate should complete
• Teaching responsibilities of the PhD candidates
10 11
Formal requirements TSP per faculty as of 2018 Declaration of Scientific Integrity (DSI)
The formal requirements for the number of ECTS credits in your TSP vary per faculty and may be All Erasmus University PhD candidates are
subject to change. Always ensure to check the current requirements with your respective PhD subject to the Netherlands Code of Conduct
coordinator, PhD office or research director. for Academic Practice. In order to comply
with these principles you are required to sign
a declaration of scientific integrity.
No formal The Graduate School offers a workshop
DPECS n/a n/a Professionalism and integrity in research
requirements
ESSB Worded as “10% (see page 48) during which these general
30 principles are not only explained, but also
DPAS n/a of the four year
(approx.) thoroughly explored and debated among
period”
ISS All 32 n/a the participants.
If the candidate
During the workshop, PhD candidates will
20 – 30 n/a has not obtainded
play the EUR Dilemma Game, which includes
a research master
ESHCC All in-depth discussions in smaller groups on “It provides an opportunity to reflect on many
If the candidate issues that academics inevitably encounter,
particular dilemmas. The participants sign and
10 – 20 n/a has obtainded a and provides a space for discussion, showing
receive the declaration of scientific integrity.
research master that not everything is black and white - and
The workshop will be held two times a that we are not alone in dealing with these
No formal
ESPhil All n/a n/a year. Please register timely to ensure your issues. The interactive game in the end was
requirements
participation. also a friendly, open space for discussion. It
• Academic Writing was also useful to hear from the instructor's
• ESHPM course: How to own experiences and real-life cases that have
ESHPM All 25
finish your PhD in time More information already happened, and how it was handled.“
(Dutch: Klaar in vier jaar) Visit our website for more information
about this subject and upcoming Feedback PhD candidate
EGSH courses:
workshop sessions. Professionalism and integrity in research
• Brush up your research
www.egsh.eur.nl/doing-your-phd/
design doctoral-regulations/
• Defending your PhD
• Doing the literature review Mandatory
• English academic writing courses, no
IHS n/a
course minimum or
• Making your research maximum ECTS
proposal work for you
• Several methods course
• Philosophy of the social
sciences and humanities
No formal
DRIFT n/a n/a
requirements
12 13
Overview courses
and workshops
Methodology and philosophy of science 17 Professional skills 41
Brush up your Research Design 18 Communicating your research: lessons from Bitescience 43
Brush up your SPSS skills 19 How to finish your PhD in time 44
Data analysis with R 20 How to get your article published 45
Digital research methods for textual data 21 Making an academic poster that stands out 46
Discourse analysis 22 Making your research proposal work for you 47
Doing the (systematic) Literature Review 23 Professionalism and Integrity in Research 48
Geographical Information Systems 24 Responsible Research Data management 49
Large-scale register data for quantitative social research 25 Self-presentation: focus, structure, interaction & visualisation 50
Mixed-method research 26 Shut up and write 51
Multi-Level Modeling I 27
Multi-Level Modeling II 28
Participatory Action Research 29
Philosophy of the Humanities and Social Sciences 30
Q-Methodology31
Qualitative coding with Atlas.TI 32
Qualitative Comparative Analysis (QCA) 33
Qualitative Data Analysis with Grounded Theory 34
Qualitative Interview Techniques 35
Searching and managing your literature 36
Survey design 37
The Focus Group method 38
Visual exploration of scientific literature with VOSviewer 39
14 15
Methodology
and philosophy
of science
"I think you have found the right balance "This was a great course, I learned a lot
between demonstrating how to find good about analysing interviews and other
literature and having students applying the biographical texts. Karin was a wonderful
techniques to find literature for themselves. instructor, very knowledgable, and really
The course is very useful for PhD students helped us in understanding our data. I
that are starting off and are curious to would recommend this course to anyone
find the most adequate literature for their working with interviews."
respective subject."
Feedback PhD candidate Feedback PhD candidate
Searching and managing your literature Discourse analysis
16 17
Brush up your research design Brush up your SPSS skills
Methodology and philosophy of science Methodology and philosophy of science
ECTS 2.5 ECTS 1
Number of sessions 4 Number of sessions 1
Hours per session 3 Hours per session 4
Contact enrolment@egsh.eur.nl Contact: enrolment@egsh.eur.nl
homburg@essb.eur.nl hirzalla@egsh.eur.nl
The objective of this course is to support Sessions This workshop introduces a number of regarding the installation of SPSS.
PhD candidates in designing (or brushing up, 1. Specifying your research aim and statistical analyses with SPSS, one of the The instructor will offer datasets for the exercis-
or revising) their research project in such a research design most popular statistical software packages. es. It is also possible to bring your own dataset.
way that they achieve their research aim. 2. Specifying data collection methods The workshop has a hands-on approach with
and methods of analysis concrete and practical exercises.
Working method 3. Individual consultation
The approach of this course follows the Working method
usual phases of an empirical study: from the For this course it is required to bring a lap- Learning objectives
specification of its aim against the background top with the latest version of SPSS. You can • Understand the methodology of
of an evaluation of previous research, through use SPSS for free on an EUR laptop. You will statistical analyses
case/sample selection and measurement need to purchase a license if you use a private • Understand how a number of popular
decisions, to the production of the study’s laptop. More information about installing SPSS statistical analyses can be conducted
results, their interpretation and their reporting. on a private laptop (or PC) can be found here: with SPSS (including descriptive analysis,
Participants will practice this approach by https://my.eur.nl/en/eur-employee/services/spss. bivariate analysis, regression analysis, factor
applying it to their own research project. analysis, and cluster analysis)
Please inform the instructor as soon as possible • Be able to interpret the output of
if you have any questions or problems those analysis
About the instructor About the instructor
Vincent Homburg is associate professor at the Department of Public Fadi Hirzalla is the Graduate School’s senior lecturer and methodology
Administration and Sociology of Erasmus University Rotterdam (EUR). consultant (see page 9). He specialises in quantitative and qualitative
Currently, his research focuses on e-government (both as a national, methodology, next to his substantive interests in citizenship and new
Dutch phenomenon, as well as in comparative research). He also actively media, with a particular focus on intercultural relations and young people.
contributes to the public management and information systems literature Prior to joining the Graduate School, he worked at the University of
and has over eighty peer-reviewed publications. Amsterdam and Utrecht University.
18 19Data analysis with R Digital research methods for textual data
Methodology and philosophy of science Methodology and philosophy of science
ECTS 2.5 ECTS 2.5
Number of sessions 4 Number of sessions 4
Hours per session 3 Hours per session 3
Contact enrolment@egsh.eur.nl Contact enrolment@egsh.eur.nl
gruber@ese.eur.nl lee@eshcc.eur.nl
This course is exclusively for PhD candidates of the Graduate School.
R is probably the most widely used open- After completion of this course, you will be This course introduces a set of digital research Learning objectives
source software environment for data able to: methods (DRM). With these innovative • Scrape and clean textual data from
analysis and statistical graphics in academia • Understand basic R functionality for reading methods, it is possible to analyse large textual social media and news articles
and business. It contains a full-fledged and manipulating data sets; datasets from social media, news articles, • Conduct some digital research methods,
programming language as well as thousands • Explore data with descriptive statistics and interviews, and other sources. In virtually particularly text analysis, topic modelling,
of add-on libraries offering specialized graphics, and all disciplines in the social sciences and sentiment analysis and network analysis.
statistical capabilities. This combination of • to use R for more advanced analyses humanities, these techniques are becoming • Be able to visualise and interpret results
the power of programming with an extensive (such as, linear regression, mediation and increasingly more popular. of the analysis
toolkit of statistical and graphical methods moderation).
makes R perfect for thorough exploration of Working method Sessions
your data. The course consists of four three-hour 1. Basic scraping and cleaning of
sessions. Each session includes a mix of data and basic topic modelling
Working method lectures (40%), demonstrations (5%) and in- 2. Further scraping and advanced
The instructor will illustrate the application class exercises (55%). Participants can work topic modelling
of R with practical examples. Participants will with text data supplied for the course or they 3. Network analysis
gain practical experience with R by conducting can explore text data of their own to work with. 4. Advanced text-as networks
analyses on provided datasets or data from the
participants’ PhD project.
Learning objectives
About the instructor About the instructor
Kathrin Gruber is assistant professor at the Department of Econometrics Jay Lee is assistant professor of digital research methods at the
of Erasmus University Rotterdam. Her fields of expertise are quantitative Department of Media and Communication of Erasmus University
marketing, psychometric methods and computational statistics. Her Rotterdam (EUR). His research focuses on various digital, network, and
research mainly focuses on Bayesian as well as approximate methods statistical methodologies and their application to online and offline
for individual-level inference in large-scale problems. She obtained her discourse and interactions, recently in the context of the refugee crisis and
PhD from Vienna University of Economics and Business, home to the artist communities.
comprehensive R Archive Network.
20 21Discourse analysis Doing the (systematic) literature review
Methodology and philosophy of science Professional skills
ECTS 2.5 ECTS 2
Number of sessions 4 Number of sessions 3
Hours per session 3 Hours per session 3 en 1
Contact enrolment@egsh.eur.nl Contact enrolment@egsh.eur.nl
k.willemse@eshcc.eur.nl hirzalla@egsh.eur.nl
PhD candidates are advised to combine this course with the workshop Searching and managing
your literature (see page 36).
Do you have interviews or other biographic Learning objectives This course provides elementary guidance for Learning objectives
data and want to know how to analyse • Understand the methodological the full literature review process. Participants • Search and select relevant literature in a
them in-depth? Discourse analysis helps underpinnings and theoretical are trained in searching and selecting systematic way;
you to understand how the narrators in your background of the discourse method relevant literature, applying different reading • Investigate the selected literature in a
data perceive the world and other people • Understand the main concepts used strategies, assessing the selected literature, systematic way, and
in relation to their own identity and which in the method and presenting the findings. We will focus on • To present the results efficiently and clearly.
aspects influence this perception. • Know how to use those concepts the systematic way of reviewing literature.
for the analysis of biographic data Sessions
Working method Working method 1. Selecting and reading a literature field
There are four sessions with mini-lectures and Sessions The first two sessions of the course are class 2. Macro-analysis and presentation of the
practical training exercises. In every meeting, 1. Introduction to discourse analysis meetings with lectures, discussions and findings
the focus is on grasping theoretical concepts 2. Concepts of discourse, subject-positions, exercises. In addition, students are offered an 3. Feedback
and turning these into tools participants can contexts and identities opportunity to meet the instructor bilaterally to
use to analyse their data. 3. Concepts of focalisation, argumentation discuss a first draft of their literature review or a The University Library has developed
and silences specific part of the review, such as its method several e-learning modules on doing a
4. Notions of self-reflexivity, ‘othering’ and section. literature review. Visit our website for
more information.
alternative subject-positions www.egsh.eur.nl/doctoral-education/
online-information-skills-support
About the instructor About the instructor
Karin Willemse is assistant professor at the Department of History of Fadi Hirzalla is the Graduate School’s senior lecturer and methodology
Erasmus University Rotterdam (EUR). She holds a PhD in anthropology consultant (see page 9). He specialises in quantitative and qualitative
from Leiden University, based on her dissertation One Foot in Heaven: methodology, next to his substantive interests in citizenship and new
Narratives on Gender and Islam in Darfur, West-Sudan. media, with a particular focus on intercultural relations and young people.
Prior to joining the Graduate School, he worked at the University of
Amsterdam and Utrecht University.
22 23Geographical Information Systems Large-scale register data for quantitative
Methodology and philosophy of science social research
Methodology and philosophy of science
ECTS 2.5 ECTS 2.5
Number of sessions 4 Number of sessions 3 (2 online, 1 on campus)
Hours per session 3 Hours per session 3.5
Contact enrolment@egsh.eur.nl Contact enrolment@egsh.eur.nl
los@ihs.nl m.das@cbs.nl
The conceptual framework of Geographic Learning objectives Government registers at Statistics Netherlands Learning objective
Information Systems (GIS) allows to easily and • Explore and apply GIS capabilities, data (CBS) contain a wide range of large-scale • Obtain insight into register data
efficiently capture and analyse geographic models, techniques, mapping concepts and socio-demographic statistics about the Dutch manipulations and register data analysis
data and spatial information. GIS tools include data visualisation population. This course offers an introduction
plenty of possibilities to process, analyse and • Adopt a GIS compliant communication of to using such register data for social research Sessions
visualise quantitative as well as qualitative your results with the emphasis on practical applications. 1. Introduction to register data
information typically used in research in • Being able to adapt your study to a GIS 2. Practical assignment: working with CBS-
the social sciences. This course explains specific data and analysis framework Working method register data
frequently used GIS techniques and explains Sessions are a mix of lectures, practical 3. From research question to analysis plan
their applicability. With examples and your Sessions assignments and workshops.
own study cases you will learn how to create 1. Introduction
new knowledge by combining geographic 2. Explanation of the methods used for a GIS-
problems with GIS analytics. based analysis approach.
3. Exploration of analysis techniques and About the instructors
Aims and working methods other advanced tools for qualitative and
In four sessions the principal GIS techniques are quantitative data analysis. Marjolijn Das is endowed professor of urban statistics at the Department
taught and practiced in mini-lessons, workshops 4. Critical review of the GIS capabilities of Public Administration and Sociology of Erasmus University Rotterdam
and exercises based on your study cases. The applicable to your research, revision of your (EUR), appointed at the Leiden Delft Erasmus Centre for BOLD Cities.
exercises will lead to a GIS-based conceptualisation and strategies. Marjolijn is also a senior statistical researcher at Statistics Netherlands.
conceptualisation of your research questions.
About the instructor
Dr. Alexander Los is an urban environment and climate change specialist Ruben van Gaalen is endowed professor register analyses of life course
at the Institute for Housing and Urban Development Studies (IHS) of the dynamics at the Department of Sociology of the University of Amsterdam
Erasmus University Rotterdam. He manages the MSc specialisation course (UvA). Ruben is also a senior statistical researcher at Statistics Netherlands.
“urban environment, sustainability and climate change” where he teaches
air quality, climate change, renewable energy and GIS/Python related
subjects. Besides teaching Alexander Los contributes to the CSEOL Citizen
Science research project as a scientific partner.
24Mixed method research: How to combine Multilevel modelling 1: an introduction
diverse quantitative and qualitative methods Methodology and philosophy of science
Methodology and philosophy of science
ECTS 2.5 ECTS 2.5
Number of sessions 4 Number of sessions 4
Hours per session 3 Hours per session 3
Contact enrolment@egsh.eur.nl Contact enrolment@egsh.eur.nl
jongerling@essb.eur.nl
This course is an introduction to MLM. However, some basic knowledge of statistical research is
required.
Research often follows an either-or-logic, Learning objectives This course focuses on two-level models with Learning objectives
using either a quantitative or qualitative • Understand the benefits and challenges a ‘continuous’ response variable. In addition, The objective of this course is to get
approach. Yet, combining the two can lead • Choose the adequate mixed-method during the final session, participants have participants acquainted with multilevel models.
to even more powerful insights than single- design the opportunity to discuss the methodology These models are often used for the analysis
method studies. This course explores different • Plan and implement data collection (needs and questions) of their own research. of ‘hierarchical’ data, in which observations are
ways to design and conduct mixed-method • Prepare data analysis and integration nested within higher-level units.
studies. It also considers how to tackle the across methods Working method
challenges in preparing results from such • Understand the specific challenges for There are four sessions consisting of Sessions
studies for academic publications. publishing mixed-method studies workshops with mini-lectures and practical 1. Introduction to multilevel modelling
training directly applied to your research data. 2. The basic two-level regression model
Working method and relevance Sessions During these sessions, PhD candidates have and the HLM program
The course discusses conceptual aspects of 1. Designing mixed-method studies the opportunity to get into depth with planning 3. Longitudinal data
mixed-methods studies (different designs, 2. Managing data collection their approach or with further analysing their 4. Methodological and statistical issue
approaches for analysis, etc.) and practical 3. Analysis, integration and writing up data. Before each meeting, participants have and own research
issues, based on concrete examples from PhD 4. Practical guidance to (individually) follow the assigned parts of
candidates, literature and the lecturer’s own our Massive Open Online Course (MOOC) on
research. The course is not tied to a particular Coursera.org.
discipline or theory; it is relevant for PhD
candidates from all disciplines.
About the instructor About the instructor
Liesbet van Zoonen is professor of popular culture and dean of the Joran Jongerling is assistant professor at the Department of Psychology,
Erasmus Graduate School of Social Sciences and Humanities (EGSH) at Education and Child Studies of Erasmus University Rotterdam (EUR).
Erasmus University Rotterdam (EUR). Liesbet is also academic director of Joran convenes courses in research methodology, SPSS skills and applied
the Centre for Big Open and Linked Data (BOLD) Cities. She has written multivariable data analysis. In his research, he applies and analyses
about (new) media, citizenship and identity. Her research currently focuses principles from Bayesian statistics, multilevel analysis, and structural
on data and cities. equation modelling.
26 27Multilevel modelling 2: multilevel structural Participatory action research (PAR)
equation modelling (SEM) Methodology and philosophy of science
Methodology and philosophy of science
ECTS 2.5 ECTS 1
Number of sessions 4 Number of sessions 1
Hours per session 3 Hours per session 3
Contact enrolment@egsh.eur.nl Contact enrolment@egsh.eur.nl
jongerling@essb.eur.nl
This course is a follow-up to Multilevel modelling 1: an introduction (see page 27. If you are not
familiar with multilevel modelling, you should first follow the introduction course.
The objective of this course is to introduce Learning objectives Participatory action research (PAR) is a Learning objectives
participants with a basic knowledge of After completion of this course, participants research approach with which researchers • Understand the historical development
multilevel models to some more advanced will be able to build and analyse the following not only aim to understand societal issues possible applications of PAR
analyses approaches. After a multilevel (more) complex multilevel models: but also wish to contribute to social change. • Know the various ways in which PAR
modelling warming-up, the instructor • MPlus PAR-based studies are participatory in can be conducted
will further focus on structural equation • SEM: path models and factor analysis their approach. PAR researchers aim their • Recognise whether PAR could be adopted
modelling (SEM) and the MPlus program. questions and methodology to remain in your own PhD research (cycle)
Sessions attuned to the real situation and experience
Working method 1. Freshing up on multilevel modelling and an of the research population, thereby providing
After an introduction, participants can to a introduction to MPlus points for further action.
great degree shape the content of the course. 2. Multilevel SEM: path models and factor
Participants are encouraged to put forward analysis
the specific multilevel SEM models they are 3. Session reserved for topics brought in by
interested in. Before each meeting, participants participants
have to (individually) follow the assigned parts 4. Session reserved for topics brought in by
of our Massive Open Online Course (MOOC) participants
on Coursera.org.
About the instructor About the instructor
Joran Jongerling is assistant professor at the Department of Psychology, Derk Loorbach is professor of socio-economic transitions and director of
Education and Child Studies of Erasmus University Rotterdam (EUR). the Dutch Research Institute for Transitions (DRIFT) of Erasmus University
Joran convenes courses in research methodology, SPSS skills and applied Rotterdam (EUR).
multivariable data analysis. In his research, he applies and analyses
principles from Bayesian statistics, multilevel analysis, and structural
equation modelling.
28 29Philosophy of the Humanities and Social Q-methodology
Sciences Methodology and philosophy of science
Methodology and philosophy of science
ECTS 2.5 ECTS 2.5
Number of sessions 4 Number of sessions 4
Hours per session 3 Hours per session 4
Contact enrolment@egsh.eur.nl Contact enrolment@egsh.eur.nl
vanoenen@fwb.eur.nl vanexel@eshpm.eur.nl
This course offers an advanced view on Learning objectives Q-methodology enables systematic Learning objectives
the philosophy of social sciences and the • Explain when and why reflection categorisation of people’s perceptions about • Conduct basic analysis and
humanities. Perspectives and developments on methodological, theoretical and a particular topic. This method distinguishes interpret the results of a q-study
from various fields and disciplines are covered philosophical questions is useful between subgroups of people based on their
using a framework that integrates historic, • Describe the historical background of views and identifies points of consensus and Sessions
systematic, and thematic dimensions. methodological and theoretical approaches disagreement amongst the participants. 1. Introduction q-methodology & Study
• Describe the relationship between the most design and data collection
Working method important philosophical perspectives Working method 2. Data analysis and interpretation &
The course has a layered structure from the Sessions consist of a mix of lectures, Connection and reflection
more general towards the more concrete, Sessions demonstrations and in-class exercises.
with discussion on all levels of generality or 1. Humanities and social sciences: affinities
specificity. Participants will be challenged to and discrepancies
provide cases and examples from their own 2. A philosophical take on arts and sciences
field or experience. 3. Discussion methodological questions
participants’ research project
4. Reflections on research practice
About the instructor About the instructor
Gijs van Oenen is associate professor at the Department of Practical Job van Exel is professor at the Erasmus School of Economics and
Philosophy of Erasmus University Rotterdam (EUR). His research focuses the Erasmus School of Health Policy & Management. His main research
on political theory, rule of law, 'gedogen' (forebearance), multiculturalism, interests include the methodology of health economics, in particular
architecture, (art and) public space and interpassivity. the study of health behaviours, perceptions and expectations, and the
valuation of health and broader wellbeing effects of interventions in
health care. Job has used and published on q-methodology for more
than ten years.
30 31Qualitative coding with ATLAS.ti Qualitative comparative analysis (QCA)
Methodology and philosophy of science Methodology and philosophy of science
ECTS 1.5 ECTS 2.5
Number of sessions 2 Number of sessions 4
Hours per session 6 and 1 Hours per session 4
Contact enrolment@egsh.eur.nl Contact enrolment@egsh.eur.nl
hirzalla@egsh.eur.nl hirzalla@egsh.eur.nl
In qualitative research, coding means giving Learning objectives Need to analyse causation across cases Learning objectives
tags to texts, images, video or audio as a After completing this course, participants will: and not sure how? Qualitative comparative • Understand the background and
way to yield a systematic understanding of • Understand why data needs to be coded in analysis (QCA) is an alternative to development of QCA
the contents of data. This process of coding qualitative research; conventional statistical methods. The method • Understand the methodological
can be structured and systematised by using • Know how to code data qualitatively, can be used in qualitative research to analyse underpinnings of QCA
programs such as Atlas.ti. inductively and systematically; how multiple cases relate to each other. • Know how to conduct QCA
• Be able to use the program Atlas.ti for
Aims and working method qualitative coding; Working method Sessions
This course explains qualitative coding in • Be familiar with the benefits of coding Participants will first have to (individually) 1,2 and 4:
general and in Atlas.ti in two meetings. The software such as Atlas.ti. follow our Massive Open Online Course Further explanation, elaboration, exercises and
first session is with the full class, and includes (MOOC) on Coursera.org. The following four discussions with regard to the topics that are
hands-on exercises. The second meeting is Sessions plenary sessions consist of workshops with discussed in the videos. Please bring a laptop
bilateral (between instructor and student), and 1. Using Atlas.ti for qualitative coding minilectures and practical training. with you.
offers feedback on students’ coding and first 2. Feedback on your coding and results 3:Further explanation, elaboration, exercises
analytic results. and discussions with regard to the topics dis-
cussed in the videos. Please bring a laptop with
you, installed on it fsQCA 3.0 from this page.
About the instructor About the instructor
Fadi Hirzalla is the Graduate School’s senior lecturer and methodology Fadi Hirzalla is the Graduate School’s senior lecturer and methodology
consultant (see page 9). He specialises in quantitative and qualitative consultant (see page 9). He specialises in quantitative and qualitative
methodology, next to his substantive interests in citizenship and new methodology, next to his substantive interests in citizenship and new
media, with a particular focus on intercultural relations and young people. media, with a particular focus on intercultural relations and young people.
Prior to joining the Graduate School, he worked at the University of Prior to joining the Graduate School, he worked at the University of
Amsterdam and Utrecht University. Amsterdam and Utrecht University.
32 33Qualitative data analysis with Qualitative interview techniques
grounded theory Methodology and philosophy of science
Methodology and philosophy of science
ECTS 2.5 ECTS 2
Number of sessions 4 Number of sessions 3 (2 online, 1 on campus)
Hours per session 3 Hours per session 3
Contact enrolment@egsh.eur.nl Contact enrolment@egsh.eur.nl
hirzalla@egsh.eur.nl vanpoecke@eshcc.eur.nl
Qualitative data analysis (QDA) is a generic Learning objectives This course covers crucial theoretical, Learning objectives
term for methods and techniques that are • Understand the methodology of QDA, methodological and practical concerns of • Describe the knowledge-theoretical
used for drawing conclusions from qualitative particularly with regard to the grounded qualitative interviewing, with a particular background of qualitative interviewing; Explain
data, such as written text, (transcriptions of) theory approach focus on the practicalities of using this different scientific approaches to interviewing;
open interviews and visual material. • Code qualitative material, using ATLAS.ti method. Overall, the course will have a • Conduct yourself in a way that people are
• Analyse coded material specific focus on design and the practice of more willing to describe the details and
Working method • Make informed decisions about how to asking open-ended questions. sensitive aspects of their lives;
The course sessions consists of mini-lectures, report a QDA-based study • Probe and ask further questions based on the
discussions, and practical, participatory training Working method answers of research participants;
exercises. The course focuses on grounded Sessions There are three sessions of three hours each, • Deal with difficult or uncomfortable situations.
theory as one of the dominant approaches to 1. Methodologies and background of QDA which will include a mix of instructions, role-
QDA. It will also give you an impression of the 2. Coding and analysing qualitative data plays and in-class exercises. Sessions
broader field of QDA and the divergent ways 3. Quality criteria and examples of QDA 1. Background of and approaches
and terminologies there are for doing QDA, 4. Writing about your own QDA to qualitative interviewing
particularly with regard to discourse analysis 2. Open interviewing as practice
and phenomenology. 3. Dealing with sensitive topics and
difficult situations
About the instructor About the instructor
Fadi Hirzalla is the Graduate School’s senior lecturer and methodology Niels van Poecke is a lecturer in Aesthetics and Sociology of Arts and
consultant (see page 9). He specialises in quantitative and qualitative Culture at the Department of Arts and Culture Studies.
methodology, next to his substantive interests in citizenship and new He completed his doctoral thesis on indie-folk music and the search for
media, with a particular focus on intercultural relations and young people. authenticity in contemporary modernity. He has won various awards
Prior to joining the Graduate School, he worked at the University of for his work, including the ‘National Popscriptie Prijs’ and the Young
Amsterdam and Utrecht University. Scholar Award at the 2016 International Congress of Aesthetics in Seoul,
South-Korea.
34 35Searching and managing your literature Survey design
Methodology and philosophy of science Methodology and philosophy of science
ECTS 1 ECTS 2
Number of sessions 1 Number of sessions 2
Hours per session 3 Hours per session 4
Contact enrolment@egsh.eur.nl Contact enrolment@egsh.eur.nl
judith.gulpers@eur.nl hirzalla@egsh.eur.nl
PhD candidates who are interested in this subject are advised to also enrol for the course Doing
the literature review (see page 23).
This three-hour workshop focuses on Learning objectives In this course you will learn how to design Learning objectives
practical aspects of doing a literature • Document your search process; a quantitative survey. A survey is one of the After this course, you will:
review. After completion of the workshop, • Plan an appropriate search strategy; most important and widely used quantitative • Know what a survey is and when to use it
participants will be able to make efficient • Make a choice of relevant databases; data collection tools. It enables researchers to • Know how to ask questions and present a
use of available sources and tools in order to • Locate and use search filters in databases; collect data about the backgrounds, behaviors survey to respondents
effectively start their PhD thesis. Topics may • Manage your references using and attitudes of relatively large samples of • Be able to evaluate survey questions and a
include creating a search profile, choosing bibliographic software; respondents in an efficient and structured survey’s structure
bibliographic software and databases • Create your own research way. Collected data can be subsequently • Know where and how to find respondents
and creating a own ‘research information information landscape. assessed through statistical methods. • Be able to prepare collected data for further
landscape’. analysis
Working method
The University Library has developed
Working method This course comprises a mix of lectures, Sessions
several e-learning modules on
The session consists of a mix of a short exercises, discussions and reflections. 1. The methodology and design of a survey
searching and managing your literature.
contextual presentation and some Visit our website for more information. Participants will learn about all important 2. Collecting and preparing data
demonstrations of search techniques and www.egsh.eur.nl/doctoral-education/ theoretical and practical aspects of survey
databases. The main part consists of in-class online-information-skills-support design.
exercises based on participants’ topics.
About the instructor About the instructor
Judith Gulpers is a faculty liaison librarian at the Erasmus University Fadi Hirzalla is the Graduate School’s senior lecturer and methodology
Library (UB). She supports academic staff and students in the use of consultant (see page 9). He specialises in quantitative and qualitative
library resources through online courses, bespoke training and individual methodology, next to his substantive interests in citizenship and new
assistance. media, with a particular focus on intercultural relations and young people.
Prior to joining the Graduate School, he worked at the University of
Amsterdam and Utrecht University.
36 37The Focus Group method Visual exploration of scientific literature
Methodology and philosophy of science with VOSviewer
Methodology and philosophy of science
ECTS 2.5 ECTS 1.5
Number of sessions 4 Number of sessions 2
Hours per session 6, 3 and 1 Hours per session 4
Contact enrolment@egsh.eur.nl Contact enrolment@egsh.eur.nl
hirzalla@egsh.eur.nl ecknjpvan@cwts.leidenuniv.nl
The focus group is a qualitative interview- Learning objectives Bibliometric visualisation software provides Learning objectives
based method that is used to collect in-depth After completing this course, you will be able intuitive overviews of the literature in a • Create bibliometric visualisations with
data for small sample studies (e.g. 50 people). to: research field. This enables researchers to the VOSviewer software
The focus group can be easily qualified as one • Understand for which research goals the obtain a better understanding of the structure • Use these visualisations to explore
of the most important, traditional and broadly focus group method can be applied. and development of a particular field. In a scientific literature field
used qualitative research methods in the social • Design a focus group study for your own addition, it gives them an impression of the
sciences and humanities. research. most significant contributions.
• Apply the focus group method. The Erasmus University Library has
Working method • Systematically analyse the data of a focus Working method developed several e-learning modules
This course offers an introduction to the focus group. In this course, participants will be introduced to on optimising literature search
techniques and visualisation. Visit our
group method. It is designed for PhD candidates • Report the results of a focus group study in a the VOSviewer software. PhD candidates will get
website for more information.
who are not experienced with focus groups, and scientifically sound manner. hands-on experience in creating and interpreting www.egsh.eur.nl/doctoral-education/
are considering / planning to use the focus group • Reflect on the pros and cons of the method. visualisations of their own literature field. online-information-skills-support
method for their research.
We will discuss all the major parts of the process Sessions
the researcher goes through when applying the 1. Background and application
focus group method. 2. Moderating focus groups and analysing the
results
3. The write-up, own design, and evaluation
4. Review of your own work
About the instructor About the instructor
Fadi Hirzalla is the Graduate School’s senior lecturer and methodology Nees Jan van Eck is a senior researcher at the Centre for Science and
consultant (see page 9). He specialises in quantitative and qualitative Technology Studies (CWTS) of Leiden University. Nees Jan does research
methodology, next to his substantive interests in citizenship and new in the field of bibliometrics. He is the main developer of the VOSviewer
media, with a particular focus on intercultural relations and young people. software. Visit www.vosviewer.com for more information.
Prior to joining the Graduate School, he worked at the University of
Amsterdam and Utrecht University.
38 39Professional
skills courses
" First of all, Fadi is a great teacher! Even "This course provides you with excellent
though the course was on Zoom, everything techniques to boost your confidence and
was very clear and the assignment was communicate efficiently to your audience."
really helpful. There were some really good
tips on how to think about and structure
your literature reviewing process. I'm very
happy that I took the course."
Feedback PhD candidate
Feedback PhD candidate Self-presentation: Focus, structure,
Doing the (systematic) literature review interaction and visualisation
40 41Communicating your research: lessons
from Bitescience
Professional skills
ECTS 1.5
Number of sessions 2
Hours per session 3,5
Contact enrolment@egsh.eur.nl
buijzen@essb.eur.nl
It is very likely that your research is also knowledge in tasty bitesize portions. This
relevant for nonacademic audiences, such as involves a layered approach based on the
societal stakeholders, policy makers, or the Simon Sinek’s Golden Circle Model.
more general public. Scientific reports are
often difficult get access to, too complex, Learning objectives
and, let’s face it, a bore to read. Therefore, After this workshop, you:
this course will help you to get your message • Are aware of the importance of science
across to nonacademic audiences. We discuss communication
ways to provide access to your growing • Are aware of the public domain of your
scientific expertise, for example by using research and know how to participate in its
social media, and to present knowledge in an online community
attractive manner. You will learn to formulate • Are able to present yourself and your
your ‘take aways’, grasping and formulating research to various nonacademic audiences
your most relevant findings in bitesize in an accessible and attractive way
portions. • The resulting skills can be applied to any
type of communication for any type of
Working method audience.
We will use the translational method that the
instructors developed for the online knowledge
platform Bitescience.com, to share academic
About the instructor
Moniek Buijzen (photo), Esther Rozendaal and Crystal Smit are academic
experts on communication and media, who also share more than a
decade of experience in iniating and writing for Bitescience.com, an
online platform sharing academic insights from their research domain to
communication professionals.
42 43How to finish your PhD in time How to get your article published
Professional skills Professional skills
ECTS 2.5 ECTS 2.5
Number of sessions 4 Number of sessions 4
Hours per session 4 Hours per session 3
Contact enrolment@egsh.eur.nl Contact enrolment@egsh.eur.nl
info@bhertz.nl
This course is exclusively for researchers of Erasmus University Rotterdam (EUR).
This course is geared towards PhD candidates with a minimum of three months of PhD work
experience.
In this course, participants learn how to Learning objectives The aim of this course is to provide Learning objectives
plan their days, weeks and entire PhD • Learn how to apply time management participants with the tools to write a • Apply essential do’s and don’ts
project. The course provides new insights and project management to writing a publishable article. The course addresses • Understand how to produce higher quality
into personal strong points and options to dissertation, taking into account your critical information and participants' questions articles
improve a particular working method. During personal goals regarding successful publishing. It also • Increase your chances of getting published
the course, participants will work towards a • Practise negotiating offers insight into the major reasons for • Produce a directly submittable article
concrete planning for their research, practise • Practise networking rejection and ways to enhance the chances
negotiating in an academic setting and of success. Sessions
prepare for networking conversations at a Sessions 1. General introduction
conference. 1. Academic research and project Working method 2. Meet the editors
management Based on impact scores, participants will 3. Bring your own work
Working method 2. Work-life balance and time management identify relevant journals and develop a 4. Individual feedback session on a potential
The intensive programme is based on practical 3. Collaborating, negotiating and networking publication strategy for their own PhD article, substantial and in terms of language
exercises. Participants receive personal trajectory. In order to actively participate,
feedback on assignments and apply the skills participants are required to bring an example
directly to their own work. There are three of their own writing. Under the guidance of a
one-day sessions of 6.5 hours each with time in senior researcher, they will work to turn their
between to try out new ways of working. work into a journal submission.
About the instructor About the instructor
Maarten Bordewijk is one of the senior trainers at Hertz, a training Liesbet van Zoonen is professor of popular culture and dean of the
agency for scientists. He is an experienced professional in personal Erasmus Graduate School of Social Sciences and Humanities (EGSH) at
and organisational development. He specialises in time and project Erasmus University Rotterdam (EUR). Liesbet is also academic director of
management. Visit www.bhertz.nl for more information. the Centre for Big Open and Linked Data (BOLD) Cities. She has written
about (new) media, citizenship and identity. Her research currently focuses
on data and cities.
44 45You can also read
