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Triangulation in Research - Half Day

Date: Saturday, 26th August 2023 08:00 GMT | 09:00 UK time   •   Saturday, 26th August 2023
Duration: 4 hours
Location: Online
Hosts: Prof. Dr. Boštjan Gomišček
Number of participants: 4 - 6
Price: 125.00€

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Fee: 125.00€
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  • About
  • Refund policy
Overview
Enhance the Quality of Your Research through Multiple Perspectives.

As a researcher, you know the importance of gathering valid and reliable data to support your research questions and hypotheses. However, relying on a single method or source of data may limit the scope and depth of your findings. That's where triangulation comes in.

Triangulation is a research method that involves using multiple methods or sources of data to cross-validate and complement each other. By triangulating your data, you can enhance the validity, reliability, and generalizability of your research findings, as well as gain a more comprehensive understanding of the phenomenon under investigation.

In this workshop, we will explore the concept of triangulation in research and its various forms, such as methods triangulation, data triangulation, and theory triangulation. You will learn how to design a triangulated research study, collect and analyze data from multiple sources, and integrate the findings into a cohesive and meaningful whole.

By the end of this workshop, you will be equipped with the skills and knowledge to enhance the quality and rigor of your research, as well as expand the breadth and depth of your understanding of the research topic. Join us for this interactive and engaging workshop and take your research to the next level!

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Key Take-Aways

By the end of the workshop, participants will have a clear understanding of the different types of triangulation and how to apply them to their own research.

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Industry Experts
Study segments
This workshop edition is of relevance to the following study segments.

  • Research methods and tools covered or trained in the workshop edition:

    • Any
    Read more Close

  • Data collection techniques covered or trained in the workshop edition:

    • Any
    Read more Close

  • This workshop edition is geared at the following doctoral journey steps:

    • Methodology Workout
    • Identification of Related Studies
    • Research Design and Pretesting
    • Data Collection
    • Data Analysis (in itself)
    • Data Analysis (against the literature)
    Read more Close
Refund policy

Deferral/transfer due to unforeseen circumstances

  • If a participant is unable to attend the workshop/conference/class edition due to unforeseen circumstances, registration fees may be transferred to another individual with the prior consent of DoctoratHub.
  • If a participant is unable to attend the workshop/conference/class edition due to unforeseen circumstances, the fee paid may be left with DoctorateHub as payment towards a place at the same workshop/conference/class edition the following year or another DoctorateHub service that occurs within 12 months of the originally booked workshop/conference/class edition. Thereafter, all funds paid are forfeited.

Cancellation

  • Registrations cancelled more than 60 days before the workshop/conference/class edition start date are eligible for an 80% refund of the registration fees paid.
  • Registrations cancelled less than 60 days, but more than 30 days before the workshop/conference/class edition start date are eligible for a 50% refund of the registration fees paid.
  • Registrations cancelled less than 30 days before the event start date are not eligible for a refund.
  • In the event DoctorateHub needs to cancel the workshop/conference/class edition due to unforeseen circumstances, DoctorateHub will refund the full cost of registration fees paid.

Definitions

  • Unforeseen circumstances - an event that is unexpected and prevents a participant attending or DoctorateHub from organising/continuing with a workshop/conference/class edition.
    • Participant example circumstances include Covid diagnosis, severe health episode, and natural disaster.
    • DoctorateHub example circumstances include, but are not limited to, inclement weather or other natural disasters, site unavailability, technology challenges, and presenter absence.
Industry Experts
Study segments
This workshop edition is of relevance to the following study segments.

  • Research methods and tools covered or trained in the workshop edition:

    • Any
    Read more Close

  • Data collection techniques covered or trained in the workshop edition:

    • Any
    Read more Close

  • This workshop edition is geared at the following doctoral journey steps:

    • Methodology Workout
    • Identification of Related Studies
    • Research Design and Pretesting
    • Data Collection
    • Data Analysis (in itself)
    • Data Analysis (against the literature)
    Read more Close

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