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Special interest

Prof. Dr. Bostjan Gomiscek

Triangulation in Research

Saturday, 12th February 2022 • Online

13:00 GMT • 13:00 UK time

Duration: 1h

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    Triangulation in research is understood as use of more than one approach to studying a research question.

    A combination of findings from two or more rigorous approaches provides a more comprehensive representation of the results than one single approach could do by yourself– thus triangulation in research is a method used to increase credibility and validity of research results.

    The following four types of triangulation in research are often applied:

    • theory triangulation, which supports use of several theories of theoretical frameworks for interpretation of a phenomenon,
    • method triangulation, which takes advantage of several data collection and analysis methods,
    • investigator triangulation, which includes participation of several researchers in a study, and
    • in qualitative research, for example, triangulation typically comprises of analysing data from interviews, focus groups, written archives, or other sources.

      However, many researchers apply triangulation in their research studies as a combination of both quantitative and qualitative methodology– in various sequences, known as mixed methods design.

      All research methods are limited in some way. One way to increase the credibility and validity of your research results is to use the triangulation, so the limitations of one single theory or method or investigator or data source are mitigated by another.

      But do not forget that the triangulation can have some disadvantages as well, like complexity of the research process and it can be time-consuming.

Key Take-Aways

This webinar will assist doctoral students in:

  1. Discussing the main benefits of triangulation in research.
  2. Understanding the main differences and application of different types of triangulation.
  3. Comprehending various sequences and combinations of used methods in mixed methods design.

Prof. Dr. Bostjan Gomiscek

I passed my viva many years ago, in 1993; however, this does not mean that I have forgotten how it was. I do recall it as it was just yesterday … After my viva, I was part of many Viva exams, of my students at bachelor, masters and PhD level as well as examination & viva committee member of many other students’ theses.

I started my research path as a young researcher at the University of Technology Vienna (Austria), where I obtained my PhD from and at University of Ljubljana (Slovenia). After finishing my PhD, I was working as a Researcher - free-lancer, when I was involved in several national and international interdisciplinary research projects working with research groups from different international universities and research institutions. My research career continued at the Austrian Academy of Science.

In 2003, I was appointed at University of Maribor, Slovenia as an Assistant Professor in the field of Quality Management and Environmental Protection Management, teaching at undergraduate and postgraduate levels. In 2006, I was elected to Associate Professor and in 2014 to Full Professor.

From 2014 to 2021, I was engaged with the University of Wollongong in Dubai, Faculty of Business as an active researcher, with strong engagement in the development and support of the UOWD research platform, the Higher Degree by Research (PhD/DBA) program.

During all my university career time I was engaged in research and/or teaching which is evidenced in my publication record, which contains over 350 items, including journal publications, conference participations, teaching activities and other research and teaching related activities.

I hope I will be able to pass some of my experience to you and help you progressing faster in your PhD journey.

Research methods and tools
Qualitative Research
Quantitative Research
Mixed Methods
Data collection techniques
Doctoral journey

This webinar is relevant to the following journey stage(s).

Thesis Research Proposal
Initial Research Plan
Methodology Workout
Research Design and Pretesting
Data Analysis (in itself)
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Triangulation in Research

Saturday, 12th February 2022

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