Research key concepts

Triangulation means using more than one method to collect data on the same topic.Data triangulation validates your data and research by cross verifying the same information. However, the purpose of triangulation is not necessarily to cross-validate data but rather to capture different dimensions of the same phenomenon. The triangulation of data occurs when multiple theories, materials or methods are used.

Triangulation means using more than one method to collect data on thesame topic. This is a way of assuring the validity of research through the use of a variety of methods to collect data on the same topic, which involves different types of samples as well as methods of data collection.
To some extent, data triangulation does not necessarily have to come across cross-validate
data but rather to capture different dimensions of the same phenomenon.

Triangulation involves using multiple data sources in an investigation to produce understanding. Rhis is a way of assuring the validity of research through the use of variety of methods to collect data on the same topic, which involves different types of samples as well as methods of data collection. There are 4 types of triangulation: 

- Methods triangulation

- Triangulation of sources

- Analyst triangulation

- Perspective/ theory triangualtion

Triangulation refers to the use of more than one approach to the investigation of a research question in order to enhance confidence in the ensuing findings. Since much social research is founded on the use of a single research method and as such may suffer from limitations associated with that method or from the specific application of it, triangulation offers the prospect of enhanced confidence. Triangulation is one of the several rationales for MULTIMETHOD RESEARCH. The term derives from surveying, where it refers to the use of a series of triangles to map out an area.

Data triangulation refers to the action of using several methods to accumulate data for a particular topic. This is a way to assure the validity of research via the use of different types of samples as well as methods to collect data. The purpose of data triangulation is principally to approach and check the situation or the phenomenon in different lenses or dimensions.

There are different methods in triangulation like Investigator triangulation, theory triangulation, methodological triangulation, environmental triangulation...

Data triangulation validates your data and research by cross verifying the same information. This triangulation of data strengthens your research paper because your data has increased credibility and validity.

The triangulation of data occurs when multiple theories, materials or methods are used. The following are a few of the most common approaches:

Data source triangulation—Using evidence from different types of data sources, such as primary and secondary research or interviews, documents, public records, photographs and observations

Methodology triangulation—Combining multiple methods to gather data, such as documents, interviews, observations, questionnaires or surveys, when conducting primary research, at different times and in different places

Theory triangulation—Using more than one theoretical approach (theory) to interpret and support data

Triangulation means using more than one method to collect data on the
same topic. This is a way of assuring the validity of research through
the use of a variety of methods to collect data on the same topic, which
involves different types of samples as well as methods of data collection.
However, the purpose of triangulation is not necessarily to cross-validate
data but rather to capture different dimensions of the same phenomenon.

Triangulation is the mixing of data or methods so that diverse viewpoints or standpoints cast light upon a topic. The mixing of data types, known as data triangulation, is often thought to help in validating the claims that might arise from an initial pilot study. The mixing of methodologies, eg mixing the use of survey data with interviews, is a more profound form of triangulation

Triangulation is often used to indicate that two (or more) methods are used in a study in order to check the results. "The concept of triangulation is borrowed from navigational and land surveying techniques that determine a single point in space with the convergence of measurements taken from two other distinct points."

Triangulation is a powerful 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.