Qualitative or Quantitative Data Analysis

2019-2020

Course Objective

Quantitative methods

Knowledge and Understanding. The student has acquired knowledge and
understanding of:
(1) The mathematical way that linear regression works;
(2) Complex research designs that include mediation, moderation and
spurious correlation;

Application. The student has acquired the competencies to:
(3) Test the assumptions of linear regression;
(4) Perform and interpret linear regression models, including models
with interaction effects;
(5) Test research designs with one mediation or one moderation effect
with the use of linear regression;
(6) Perform linear regression with the use of the R-software;

Making judgements. The student is able to:
(7) Evaluate the results of published studies with research designs that
include mediation or moderation;

Communication. The student has acquired the skills to:
(8) Present results of quantitative research that tests mediation or
moderation effects in a scientific way.

Qualitative methods
 Can distinguish between qualitative and quantitative research and
recognize the specificities of qualitative data/knowledge.
 Have grasped the ins and outs of different research methods and can
apply them elementarily.
 The acquired data analysis skills can be used to reduce and order
data.
 Can produce a basic qualitative report based on qualitative data.

Knowledge and Understanding. The student has acquired knowledge and
understanding of:
(9) The significance of the ontological and epistemological position in
research (in general) and more particularly in qualitative research.
(10) The nature of qualitative data and its possibilities and
limitations.
(11) The difficulties and potentialities of using qualitative methods.
(12) The particularities regarding the generalizability of qualitative
data.

Application. The student has acquired the competencies to:
(13) Apply basic method skills in qualitative research
(14) Understand the differences regarding outcomes in qualitative
research and quantitative research

Making judgements. The student is able to:
(15) Determine when are qualitative research more preferable in a study.
(16) Decide which methods are most appropriate to us in a study.

Communication. The student has acquired the skills to:
(17) Motivate his or her decision to use qualitative methods..
(18) Be able to contribute to the discussion and give comments to peers
who are solely using qualitative methods

Course Content

This course is aimed to refresh or introduce students into one of the
methodological perspectives that will be used in the coming years. The
different courses are set up to allow students more acquainted with
qualitative methods to learn or refresh their basic knowledge of
quantitative research, and for those students more specialized in
quantitative methods to gain knowledge in qualitative research
methodology. While the course appears to be a single course, the modules
are taught independently and are only connected through their common
goal of providing methodological knowledge to students who are less
acquainted with the concerned methodological field.

Quantitative Analysis
The goal of this course is to provide students with an adequate
background in the methods of quantitative analyses of social science
data. Students with a background in qualitative data analysis will focus
on learning how to apply multiple regression techniques to analyse
quantitative data. The course deepens their knowledge and understanding
outcomes on methodology, specifically basic knowledge of and insight
into quantitative methods and the basic skills to apply statistical
methods to analyze data. Students learn to present research results and
interpretations of data in a clear manner.
This course prepares students for the main methodological course of the
program that follows, BDSD. In this course, students with a weak
quantitative background get the necessary statistical and methodological
tools that will allow them to follow BDSD.

Qualitative Methods and Analysis

This course is designed for students who have primarily been skilled in
quantitative methods. It aims to provide a basis in qualitative research
skills and principles in order to broaden their possibilities to conduct
research as well as enable them, through the course of their study, to
be active participants in commenting peers’ work and taking part of
methodological discussions which are not predominantly quantitative
oriented. The course will begin providing a methodological foundation
which will allow students to recognize and distinguish the different
logics on which qualitative and quantitative methodologies are grounded
(the ontological and epistemological differences). Consequently,
students will be able to recognize the qualities of qualitative data as
well as understand how the choices they make in the research process
relate to the qualitative epistemological position. The lectures
further introduce students into the different methods that are commonly
used in qualitative research, focusing particularly on interviews
and(participant) observations.
The workgroups have two objectives:
a. Practice methodological skills discussed in the lectures.
b. Discuss the results of the assignments.

The students’ will work in pairs but the assignments will be compiled in
an individual research portfolio. The assignments (interview,
observation, etc.) will be conducted using the same thematic angle
concerning the ethnic and/or gendered use of the multi-cultural city.
Each practical assignment will explore/research how different
ethnicities or genders move through, utilize, socialize in the city. The
student will prepare a presentation in pairs for the last session. The
class will be concluded with a presentation.
 Students will submit a research portfolio consisting of the
following assignments:
o Notes from three observations
o Interview scheme and transcription of interviews
o Code list in groups that comes out of the analysis
o Verbal snapshot based on the above practical assignments
o Duo presentation

Teaching Methods

Quantitative methods
All meetings are working group meetings that will be eventually turned
to lectures or computer tutorials, based on the principle of flipping
the classroom: students prepare by studying the materials to be
discussed in class (book chapters and knowledge clips) upfront. However,
when needed (i.e. in difficult topics) the classroom will be reflipped
with the lecturer proving classical instruction. Students bring their
own laptop with R-Studio to the meetings so they can work on planned or
incidental assignments.
There will be 3 meetings per week. Every meeting last approximately 1
hour and 45 minutes with a 15-min break in between. Moreover, there will
be a weekly assignment that students should prepare. This assignment
will be evaluated and discussed in class afterwards.

Qualitative methods
This course includes two types of meetings:
1. Lecture like meetings, where the emphasis is on learning basic
principles, concepts, and theory. This has an interactive element.
2. Tutorials, which mix hands on exercises with discussions and where
necessary practical exercises. The majority of the sessions will be
tutorial format.

Method of Assessment

Quantitative methods
The assessment will include a combination of 4 written assignments that
the students have to submit throughout the course with a final written
(digital) exam. The weekly assignments will be submitted through Canvas.
The assessment criteria and the description of the assignment can be
also found on Canvas. The final exam will include a combination of
different type of questions: open-ended, multiple choice,
closed-numerical, fill in the blanks.

Qualitative methods
The assessment will include ungraded assignments in the class, practical
assignments and verbal snapshot report, presentation in pairs based on
the data you have collected, you will give a presentation of the results
and the data used to come to these conclusions.

Literature

Quantitative methods
Andy Field, Jeremy Miles and Zoë Field (2012) Discovering Statistics
Using R, Sage Publications: London/Thousand Oaks.
Robert B. McCall (2000) Fundamental Statistics for Behavioral Sciences,
Cengage Learning

Qualitative methods
Sarah J.Tracy (2012) Qualitative Research Methods: Collecting Evidence,
Crafting and Communicating Impact. Chicheser: Wiley and Sons.

Target Audience

Quantitative methods
First-year students of the Research Master program in Societal
Resilience that have an inadequate background in quantitative methods.

Qualitative methods
First-year students of the Research Master program in Societal
Resilience that have an inadequate background in qualitative methods.

Recommended background knowledge

Quantitative methods
This course focuses on advanced topics on linear regression. Before you
start, make sure that you have knowledge about basic statistics, and
more specifically: descriptive statistics, hypothesis testing and the
basics of linear regression. The entry level will be assessed with a
diagnostic test at the beginning of the course. Students that lack
(part) of this knowledge are referred by the lecturer to material that
will allow them to accommodate their deficiencies.

Qualitative methods
This courses focuses on basic principles, skills and knowledge of
qualitative research. It is meant for students with little or no
experience in doing qualitative research. Being at the start of the
program it intends to refresh and prepare students for the other courses
mentioned above, in which qualitative research methods are taught side
by side quantitative methods.

General Information

Course Code S_QQDA
Credits 3 EC
Period P1
Course Level 500
Language of Tuition English
Faculty Faculty of Social Sciences
Course Coordinator dr. L.S. Nencel
Examiner dr. D. Pavlopoulos
Teaching Staff dr. L.S. Nencel
dr. D. Pavlopoulos

Practical Information

You need to register for this course yourself

Teaching Methods Study Group*

*You cannot select a group yourself for this teaching method, you will be placed in a group.