Triangulation
facilitates validation of data through cross verification from more than two sources
. It tests the consistency of findings obtained through different instruments and increases the chance to control, or at least assess, some of the threats or multiple causes influencing our results.
Why is it important to triangulate the data in qualitative research?
Triangulation refers to
the use of multiple methods or data sources in qualitative research to develop a comprehensive understanding of phenomena
(Patton, 1999). Triangulation also has been viewed as a qualitative research strategy to test validity through the convergence of information from different sources.
Is data triangulation necessary?
Research methodology
Triangulation can overcome the potential bias resulting from the use of a single method or single source of data in a study. Triangulation can, therefore,
increase the validity and reliability of the
research (Strauss and Cobin, 1998; Yin, 1994 and Denzin, 1978).
What is the most important objective of triangulation in qualitative research?
Purpose. The purpose of triangulation in qualitative research is
to increase the credibility and validity of the results
. Several scholars have aimed to define triangulation throughout the years.
How do you explain triangulation of data?
Triangulation is a technique that
facilitates validation of data through cross verification from two or more sources
. In particular, it refers to the application and combination of several research methods in the study of the same phenomenon.
What is an example of data triangulation?
First, data triangulation involves using multiple sources of data in an investigation. In a research study examining hospital staff morale, for example,
interviews with medical personnel
might be compared and cross-checked with staff surveys and records of focus groups consisting of hospital employees.
How is data triangulation used in qualitative research?
Data triangulation involves the use of
different sources of data/information
. A key strategy is to categorize each group or type of stakeholder for the program that you are evaluating. Then, be certain to include a comparable number of people from each stakeholder group in the evaluation study.
What is a triangulation person?
Triangulation refers to
a specific behavior that can come up within a two-person conflict
. … Triangulation happens when one or both of the people involved in the conflict try to pull a third person into the dynamic, often with the goal of: deflecting some of the tension.
What are the steps of triangulation method?
- Local empty-circle property: The circum-circle of any triangle in Delaunay triangulation does not contain the vertex of the other triangle in its interior[1].
- max-min angle property: …
- Uniquness: …
- Boundary property:
What are the four types of triangulation?
In 1978, Norman Denzin identified four basic types of triangulation:
(1) data triangulation: the use of multiple data sources in a single study
; (2) investigator triangulation: the use of multiple investigators/research- ers to study a particular phenomenon; (3) theory triangulation: the use of multiple perspectives to …
What is triangulation of data in education?
Triangulation is
simply the process of using at least three points of data when making educational decisions
. … Using triangulation assures that the most informed and appropriate decisions are being made on behalf of each student.
How can we stop triangulation?
- The feedback should avoid evaluative statements and focus on descriptions of the other person’s behavior. …
- Each person should be curious as to why the other sees things the way they do. …
- The two people involved should talk to each other and not to the facilitator.
What is meant by triangulation method?
Triangulation is a method
used to increase the credibility and validity of research findings
. … 2 Triangulation, by combining theories, methods or observers in a research study, can help ensure that fundamental biases arising from the use of a single method or a single observer are overcome.
What is data saturation?
Data saturation refers
to the point in the research process when no new information is discovered in data analysis
, and this redundancy signals to researchers that data collection may cease.
What are data analysis techniques in research?
The systematic application of statistical and logical techniques to describe the data scope,
modularize the data structure, condense the data representation
, illustrate via images, tables, and graphs, and evaluate statistical inclinations, probability data, and derive meaningful conclusions known as Data Analysis.
How many sources of data do you need for triangulation?
In triangulation, we think of two points of data that move towards an intersection. In fact, if you are trying to visualise triangulation, consider instead two vectors – directions suggested by
two sources
of data, that may converge at some point, creating a triangle.
