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Department of Planning and Regional Development
School of Engineering
University of Thessaly
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Research Methods

Research Methods

Category
Elective
Semester
1st Semester
Thematic field(s)
Methodologies, tools and techniques
Hours (weakly)
3
ECTS
5
Workload (h)
0
  • Course goal
  • Course subject
  • Assessment
  • Bibliography

The proper organization of the research as well as the identification of problematic and working assumptions are a prerequisite for the scientific analysis of any social, cultural, spatial and economic phenomena.

The effective implementation of research methods is based on (i) specific principles and concepts, (ii) specific tools (collecting and organizing databases, sample, questionnaires, interviews) as well as (iii) tools and methods of exploiting and analyzing the data / information collected.

The course emphasizes empirical scientific research (either quantitative or qualitative) which, under the proper methodological design, ensures objective and quantitative measurements of the phenomena examined while allows the systematic test of work assumptions.

The study of social, economic and spatial phenomena and the exploration of the relationships between their various components as well as the “increasing pressure” as regards the adoption of rational policies require the development of theoretical and empirical approaches in which the above analyzes can be based. Therefore, a key issue is the acquisition of knowledge and skills on the basis of which students will be able to integrate theoretical approaches – theories with the data collected in the context of their scientific research.

The course aims:

  • to proven knowledge and understanding about the design of scientific research, methodology and research methods. Developing the knowledge and understanding sub-research objects offers at the same time the opportunity to expand their scientific horizons.
  • To acquire knowledge about the use of different statistical techniques and methods
  • to obtain, by systematically applying the relevant methods, the necessary capabilities to adapt to actual research processes especially as regards search, treatment and interpretation of reliable information. At the end of the course, students will be able to design and carry out, in real terms, a small-scale as well as a large-scale scientific research.
  • to develop their ability to critically analyze, evaluate and synthesize complex and multi-dimensional concepts
  • to promote the progress of the knowledge society and generating new research ideas
  • to promote free, creative and inductive thinking.

 

The course is organized according to the following topics:

  1. The logical steps for conducting scientific research
  2. Selection of appropriate information / data and consequently of methods and tools of analysis.
  3. Conducting research focusing on specialized and complex issues requires understanding and familiarity with appropriate Research Methods.

 

The main course content includes the following sections:

Lesson 01 Concepts, principles, significance and aims of scientific research
Lesson 02 Formulation of problematic (research question) and working hypotheses
Lesson 03 Design, steps of preparation and implementation of scientific research,

Methodology and tools selection: theoretical approach as well as presentation – analysis of already implemented research, comparative presentation of research with primary or secondary data, inventories or sample research;

Lesson 04 Random Sampling and Sampling Techniques, Sampling Error, Sampling Method Selection, Sample Size and Structure, Supplementary Sample: Theory and Application Using Special Software
Lesson 05 Questionnaire design according to the type of empirical research (quantitative – qualitative) and the type of interviews:

– Advantages and disadvantages of alternative forms of empirical research and interview categories

– Questionnaire structure: from basic sections to section-by-section questions, question categories (open, closed, mixed, multiple / hierarchical choices), variable coding, choice of scales, Likert scale utility.

Lesson 06 Applying research: from theory to practice

– pilot and final research,

– procedures and methods for filling out questionnaires,

– preparation and completion of the Database,

– verification of the reliability of the collected data (fiability, reliability)

Lesson 07 Statistical processing and presentation of data:

Descriptive statistical analysis with primary and secondary data, generation of indicators (correlation, variability, inequality, concentration and specialization).

Lesson 08 Software application of statistical analysis to real data.
Lesson 09 Contribution and implementation of conventional methods of Analysis Data / information

Exploratory empirical approaches of the relationships between variables with Principal Component Analysis (PCA), ‘measurement’ of multidimensional phenomena through synthetic indicators

Lesson 10 Contribution and implementation of clustering methods:

The use of cluster analysis to create spatial and non-spatial patterns

Lesson 11 Usefulness of econometric models:

Empirical estimation of the relationships between variables through linear and non-linear regression in order to test theoretical approaches, formulate alternative policy proposals and make forecasts and strategic perspectives.

Lesson 12 Regression implementation with the use of specialized software:

Model specification, evaluation and analysis of regression results.

 

Lesson 13 Presentation of students’ works

The assessment system is known and clear from the beginning of the course as the course outline mentions how the students are evaluated and this information is available on the department’s is posted on the IFRIC website.

The course evaluation process includes:

  • An individual work where the student has to propose the methodology and methods of analysis of the phenomenon, he / she wants to examine (50%)
  • Oral presentation of the individual work with Power Point (20%)
  • Written examination at the end of the semester (30%).

The above assessment process gives to the students the opportunity to deal with the course during the semester and thus to be in time prepared for the oral presentation of their work as well as for the written examination at the end of the semester.

  • Ajzen I. And Fishbein M., (1972). Attitudes and normative beliefs as factors influencing behavioral intentions. Journal of Personality and Behavior Social Psychology, Vol 21 (1):1-9.
  • Ashenfelter O., Levine P., Zimmerman D. (2005), Statistics and Econometrics: Methods and Applications, Wiley, chapters 9-16.
  • Barribeau P., Butler Β., Corney J., Doney M., Gault J., Gordon J., Fetzer R., Klein A., Ackerson Rogers C., Stein I., Steiner C., Urschel H., Waggoner T., Palmquist M. ( 2012). Survey Research. Writing@CSU. Colorado State University. Available at http://writing.colostate.edu/guides/guide.cfm?guideid=68
  • Babbie E. (2011). Εισαγωγή στην κοινωνική έρευνα, Αθήνα: Εκδόσεις Κριτική
  • Govidarajulu, Z. (1999). Elements of Sampling Theory and Methods, Prentice Hall
  • Javeau C. (1996). Η Έρευνα με ερωτηματολόγιο: το εγχειρίδιο του καλού ερευνητή , Αθήνα: Εκδόσεις
  • Robson C. (2007). Η έρευνα του πραγματικού κόσμου: ένα μέσον για κοινωνικούς επιστήμονες και επαγγελματίες ερευνητές, Αθήνα: Εκδόσεις Gutenberg.
  • Stein I., Steiner C., Urschel H., Waggoner T., Palmquist M. (2012). Survey Research. Writing@CSU. Colorado State University. Available at http://writing.colostate.edu/guides/guide.cfm?guideid=68
  • Veal A.J. (2006). Research Methods for Leisure and Tourism: a practical guide, Ed. Pearson Education Limited
  • Γναρδέλλης Χ. (2003). Εφαρμοσμένη στατιστική, Αθήνα: Εκδόσεις Παπαζήση.
  • Δαμιανού Χ. (2007). Μεθοδολογία Δειγματοληψίας-Τεχνικές και Εφαρμογές, Εκδόσεις Σοφία, Θεσσαλονίκη.
  • Ζαφειρόπουλος, Κ. (2013), Εισαγωγή στη Στατιστική και τις Πιθανότητες, Εκδ. Κριτική, Κεφ. 8
  • Κυριακούσης, Α. (2000). Στατιστικές Μέθοδοι, Εκδόσεις Συμμετρία, Αθήνα.
  • Μαυρομάτης Γ. (1999), Στατιστικά Μοντέλα και Μέθοδοι Ανάλυσης Δεδομένων, University Studio Press, Θεσσαλονίκη, Κεφ. 10
  • Σταθακόπουλος Β.,(2005). Μέθοδοι Έρευνας Αγοράς,2η Έκδοση, Εκδόσεις Σταμούλης, Αθήνα, κεφ. 4 &5
  • Παπαδημητρίου Γ., (2001), «Περιγραφική Στατιστική». Εκδόσεις «Παρατηρητής».
  • Τζωρτζόπουλου Θ. Π.(1993). Οργάνωση και Διεξαγωγή Δειγματοληπτικών Ερευνών. Εκδόσεις Οικονομικού Πανεπιστημίου Αθηνών. Αθήνα Ψαρρού Μ. και Ζαφειρόπουλος Κ. (2001). Επιστημονική έρευνα: θεωρία και εφαρμογές στις κοινωνικές επιστήμες, Αθήνα: Εκδόσεις Τυπωθήτω-Γιώργος Δαρδανός.
  • Τσάντας Ν., Μωυσιάδης Χ., Μπαγιάτης Κ., Χατζηπαντελής Θ. (1999). Ανάλυση δεδομένων με τη βοήθεια στατιστικών πακέτων, Θεσσαλονίκη: Εκδόσεις Ζήτη.
  • Τυπωθήτω-Γιώργος Δαρδανός Robson C. (2007). Η έρευνα του πραγματικού κόσμου: ένα μέσον για κοινωνικούς επιστήμονες και επαγγελματίες ερευνητές, Αθήνα: Εκδόσεις Gutenberg.

Contact info


Pedion Areos, 383 34, Volos

+30 24210 74452-55

+30 24210 74380

g-prd@prd.uth.gr

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  • Home
  • The Department
    • The Department and its Location
    • The Department in the Local and Academic Community
    • Administrative Structure
    • Opinions of Graduates
    • Establishments
  • Studies
    • Undergraduate Programme
      • Presentation
      • Courses
      • Time Schedule
    • Graduate Programs
      • Master in Urban Regeneration, Urban Development & Real Estate [URUDRE]
        • Courses
      • Master in Sustainable Management of Environmental Change and Cyclical Economy [SMECCE]
        • Courses
      • Master in Project Management, Transportation and Spatial Planning (PMTSP)
        • Courses
      • Master in Tourism and Cultural Planning and Development (TCPD)
        • Courses
      • Masters in Strategic Management and Competitiveness (SMC)
        • Presentation (in greek)
    • Doctoral Studies
    • Postdoctoral Research
  • Research
    • Scientific editions
      • Research – Discussions Papers
      • e-journal “Aeihoros”
      • Institutional Repository
    • Research Units
      • Research Unit of Computer Science Applications in Spatial Planning
      • Research Unit of Demographic and Social Analysis
      • Research Unit of Evaluation of Development Policies and Programs
      • Research Unit of Environment and Spatial Planning [ESPL]
      • Research Unit of Geographical Research and Environmental Planning [GREENPLAN]
      • Research Unit of Infrastructure, Technology Policy and Development [RUITPOD]
      • Research Unit of Regional Economic Analysis and Policy
      • Research Unit of Rural Space
      • Research Unit of Spatial Analysis, GIS and Thematic Mapping
      • Research Unit of Tourism Planning, Research and Policy
      • Research Unit of Urban Space Morphology
      • Research Unit of Urban and Spatial Planning
    • Research Centers
      • Informations System Center
  • Staff
    • Faculty Members
    • Research and Technical staff
    • Other Faculty
    • Adjunct Faculty
    • Administrative Staff
  • Support
    • Secretary
    • International Relations Office (IRO-UTH)
    • Library & Information Centre
  • Contact
  • enEnglish
    • elΕλληνικα (Greek)
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