© Centre for European Studies - Alexandru
Ioan Cuza University of Iași
Research methods in Social
Sciences – Introductory
course
(online course)
Having a course related to research methodology
derives from BA/MA/PhD students’ need to design
and carry out research activities, this need being
also confirmed by the curricular practices found in
prestigious universities in Europe. Participants are
studying this discipline mainly to develop their
academic projects, but also their dissertation thesis
at higher scientific standards.
COORDINATORS: David Rotman (BSU), Ramona
Țigănașu (UAIC), Constantin Vasile Toca (ISER)
WHO CAN ATTEND THIS COURSE: Young
academics (teachers and researchers) from the
network partners: PhD students and post doc
researchers/professors (maximum 5 years after
doctoral thesis defence)
HOW TO REGISTER: all the participants would
require to have/make a Gmail account to access and
complete the course (the online course is hosted on
the Google classroom platform). Please fill in this
form with your detailes (name, affilition, Gmail
address)
After registration, you will recieve an email with an
invitation to join the classroom. Access 'Classwork'
tab and go through the course units in order. After
each unit (course and bibliography) complete the
quiz. In order to pass the quiz, it is necessary to
score at least 60 points. You can answer the quiz
again until you get the minimum score. Some
quizzes contains open questions that will initially
receive no score, but the final mark will be validated
by the instructor.
CERTIFICATE: upon finalizing all the units and the
quizaes, participants will receive a certificate
European Sociological Studies and
Research: Research methodology.
Having a course related to research methodology
derives from BA/MA/PhD students’ need to design
and carry out research activities, this need being also
confirmed by the curricular practices found in
prestigious universities in Europe. Participants are
studying this discipline mainly to develop their
academic projects, but also their dissertation thesis
at higher scientific standards. Knowledge in research
methodology give an increased added value to their
papers, they being able to correlate various
economic phenomena, establishing causality
between variables, interpreting and disseminating
the research results. Furthermore, some of them will
use the acquired information if they are planning to
have later a job in the research field or to do a PhD
thesis/post-doc research.
The main objectives of this course are:
•
To understand the scientific approach in socio-
human sciences;
•
To select, in a proper way, the research methods
according to the established
objectives/hypotheses;
•
To strengthen the research methodological skills
through the capacity of interpreting and
disseminating the research results;
•
To identify, to collect, analyze and interpret
documents, databases, relevant information, in
order to formulate new ideas and trends in the
field.
Upon completing the course, the participants will
enhance both:
•
Professional competences: Becoming active in
the process of seeking, analyzing, and
synthesizing information; Accessing and
analyzing the EU‘s materials (resources,
databases) and putting into practice the
theoretical knowledge acquired; Defining and
operating with statistical concepts; Formulating
the work hypotheses, define variables, making
collection of data, processing of data, testing of
truthfulness; Application of statistical analysis in
different studies; Increasing critical thinking
skills considering multiple viewpoints and
perspectives; Enhancing visibility of research
results;
•
Transversal competences: Confirmation or
rejection of work hypotheses; Getting practical
solutions; Finding new research directions;
Getting practical solutions; Outlining
recommendations, suggestions, lines of action,
best practices for EU policies and reports;
present the matters/tasks performed in front of
an audience.
Steps in developing a quantitative model:
1.
Choosing a theme / phenomenon to study;
2.
Conceptualization - relevant issues of the topic;
3.
Literature review;
4.
Formulating hypotheses;
5.
Types of variables;
6.
Collection of data;
7.
Multivariate data analysis;
8.
Interpreting and disseminating the results;
9.
Elaborating forecasts.
Research results after data processing:
•
Confirmation or rejection of hypotheses;
•
Obtaining practical solutions;
•
Drawing up recommendations, suggestions,
lines of action, good practices;
•
Identification of contradictions, inconsistencies,
loopholes or limitations of the proposed theory
or solutions;
•
Finding new research directions, etc.