Triangulation design validating quantitative data model
(Johnson & Onwuegbuzie, 2004: 16) The following variants were found in the Glossary of Mixed Methods Terms/Concepts (retrieved , 27 January 2012 (CET)).
The glossary summarizes terms were adopted from Tashakkori and Teddlie's (2003) Handbook of mixed methods in the social and behavioral research.
MM practitioners promote the development of a theory-based set of three hypotheses.
Hypotheses should be conducted a priori and be both logical and sequential research questions (for more information, see Onwuegbuzie & Leech, 2006).
In other words, it is a short or insufficient piece of information and requires additions.“The combinations and comparisons of multiple data sources, data collection and analysis procedures, research methods, or inferences that occur at the end of a study., Denzin (1978) used the terms data triangulation, theory triangulation and methodological triangulation.
Specialists encourage researchers to construct three separate types of hypotheses for an MM research project.
There can be more than three hypotheses but there must be at least one of each type.
The first hypothesis should be quantitative and the second should be qualitative. Integration of these data is often complex, even when there is a strong theoretical rationale for doing so.
Data integration occurs when quantitative and qualitative are combined in a data set.
By combining multiple observers, theories, methods, and empirical materials, researchers hope to overcome the weakness or intrinsic biases and the problems that come from single method, single-observer and single-theory studies.