Quantitative methods of social research

Course: Quantitative methods of social research
Course Number: 23
Time:
Prerequisites:
Credits: 6
Room:
Day:
Component(s):
Map: Map

COURSE OUTLINE 23

  1. GENERAL
SCHOOL  SOCIAL, POLITICAL AND ECONOMIC SCIENCES
DEPARTMENT  SOCIAL POLICY
LEVEL OF STUDIES LEVEL 6
COURSE CODE 23 SEMESTER 4th
COURSE TITLE Quantitative methods of social research
TEACHING ACTIVITIES
If the ECTS Credits are distributed in distinct parts of the course e.g. lectures, labs etc. If the ECTS Credits are awarded to the whole course, then please indicate the teaching hours per week and the corresponding ECTS Credits.		 TEACHINGHOURSPERWEEK ECTSCREDITS
  3 6
     
     
Please, add lines if necessary. Teaching methods and organization of the course are described in section 4.    
COURSE TYPE

Background, General Knowledge, Scientific Area, Skill Development

 Empirical methodology
PREREQUISITES:

 

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TEACHING & EXAMINATION LANGUAGE: Greek
COURSE OFFERED TO ERASMUS STUDENTS: –
COURSE URL: –
  1. LEARNING OUTCOMES
Learning Outcomes
Please describe the learning outcomes of the course: Knowledge, skills and abilities acquired after the successful completion of the course.
The aim of the course is for students to enrich and deepen their knowledge and skills in empirical analysis.

After successful completion of the course, the student will be able to:

·         have acquired a knowledge base in data and microdata analysis methodologies and techniques.

·         process and interpret the information provided by the analysis of data sets.

·         understand in depth the reasons for choosing one or the other method.

·         use basic data analysis tools.

·         correctly interpret diagrammatic representations.
General Skills
Name the desirable general skills upon successful completion of the module
Search, analysis and synthesis of data and information,

ICT Use

Adaptation to new situations

Decision making

Autonomous work

Teamwork

Working in an international environment

Working in an interdisciplinary environment

Production of new research ideas

 Project design and management

Equity and Inclusion

Respect for the natural environment

Sustainability

Demonstration of social, professional and moral responsibility and sensitivity to gender issues

Critical thinking

Promoting free, creative and inductive reasoning
Search, analysis and synthesis of data and information, using the necessary technologies

Decision making

Autonomous work

Teamwork

Work in an international environment

Exercise criticism and self-criticism

Respect for diversity and multiculturalism

Promotion of free, creative and inductive thinking

 
  1. COURSE CONTENT
• Introductiontodataanalysis.

• Data management, data sources, sample, measurement and nature of variables, coding, data entry into PC, outliers, missing values.

• Univariate and bivariate procedures – Graphs – Correlation tables – Correlation – Statistical tests – Analysis of variance – non-parametric procedures and tests.

• Multivariate data analysis methods (e.g., OLS, quantile, ANOVA, MANOVA, logit, probit, path analysis)
  1. LEARNING & TEACHING METHODS – EVALUATION
TEACHING METHOD
Face to face, Distance learning, etc.		 Face to face
USE OF INFORMATION & COMMUNICATIONS TECHNOLOGY (ICT)
Use of ICT in Teaching, in Laboratory Education, in Communication with students		 Yes

Databases andeclass are used to post teaching materials, announcements and to communicate with students. Also, in the teaching material is used in pptx which is available to the students.
TEACHING ORGANIZATION

The ways and methods of teaching are described in detail.

Lectures, Seminars, Laboratory Exercise, Field Exercise, Bibliographicresearch& analysis, Tutoring, Internship (Placement), Clinical Exercise, Art Workshop, Interactive learning, Study visits, Study / creation, project, creation, project. Etc.

 

The supervised and unsupervised workload per activity is indicated here, so that total workload per semester complies to ECTS standards.
Activity Workload/semester
Lectures 39
Interactive teaching 14
Elaboration of a study 38
Independent study and preparation for exams 48
Study presentation 9
Final Written Examination 2
TOTAL COURSE (25 HOURS OF WORKLOAD PER CREDIT UNIT) 150
   
Student Evaluation

Description of the evaluation process

 

Assessment Language, Assessment Methods, Formative or Concluding, Multiple Choice Test, Short Answer Questions, Essay Development Questions, Problem Solving, Written Assignment, Essay / Report, Oral Exam, Presentation in audience, Laboratory Report,Clinical examination of a patient,Artistic interpretation, Other/Others

 

Please indicate all relevant information about the course assessment and how students are informed 

The final evaluation takes into account:

1) The preparation of a study

2) The study presentation

3) The written exam.

 

Elaboration and presentation of assignments:

The criteria of writing academic texts, essays and presenting academic papers apply. The main criteria are the accuracy and clarity of the use of terminology, the clear organization of the content and the appropriate use of the bibliography for the development of the topic of the work. The use of ICT is necessary in the presentation.

 
  1. SUGGESTED BIBLIOGRAPHY
Winkelmann, R. &Boes, S. (2009). Analysis of microdata. Switzerland, Springer.

 

 

 

 

 

 

 

ANNEX OF THE COURSE OUTLINE

 

Alternative ways of examining a course in emergency situations

 

Teacher (full name): Alexandra Gkoulgkoutsika
Contact details: agkoulgk@sp.duth.gr
Supervisors: (1) NO
Evaluation methods: (2) Written assignment or/and exercises

 
Implementation Instructions: (3) During the examination period, grading 0 to 10

 

  • Please write YES or NO
  • Note down the evaluation methods used by the teacher, e.g.
  • written assignmentor/and exercises
  • written or oral examination with distance learning methods, provided that the integrity and reliability of the examination are ensured.
  • In the Implementation Instructions section, the teacher notes down clear instructions to the students:

 

  1. a) in case of written assignment and / or exercises: the deadline (e.g. the last week of the semester),the means of submission, the grading system, the grade percentage of the assignment in the final grade and any other necessary information.
  2. b) in case of oral examination with distance learning methods: the instructions for conducting the examination (e.g. in groups of X people), the way of administration of the questions to be answered, the distance learning platforms to be used, the technical means for the implementation of the examination (microphone, camera, word processor, internet connection, communication platform), the hyperlinksfor the examination, the duration of the exam, the grading system, the percentage of the oral exam in the final grade, the ways in which the inviolability and reliability of the exam are ensured and any other necessary information.
  3. c) in case of written examination with distance learning methods:the way of administration of the questions to be answered, the way of submitting the answers, the duration of the exam, the grading system, the percentage of the written exam of the exam in the final grade, the ways in which the integrity and reliability of the exam are ensured and any other necessary information.

There should be anattached list with the Student Registration Numbersonly of students eligible to participate in the examination.