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Multimethodology or multimethod research includes the use of more than one method of data collection or research in a research study or set of related studies.Mixed methods research is more specific in that it includes the mixing of qualitative and quantitative data, methods, methodologies, and/or paradigms in a research study or set of related studies.
John Ward Creswell is an American academician known for his work in mixed methods research. He has written numerous journal articles and 27 books on mixed methods research, research methods, and qualitative research. [1]
She authored An Introduction to Fully Integrated Mixed Methods Research which emphasized the benefits of integrating qualitative and quantitative strands throughout the research process. Greg P. Griffin praised the work saying that "Creamer's book may be the most cogent approach to mixed methods research available."
Repeated measures design is a research design that involves multiple measures of the same variable taken on the same or matched subjects either under different conditions or over two or more time periods. [1] For instance, repeated measurements are collected in a longitudinal study in which change over time is assessed.
Some research has been done regarding whether it is possible to design an experiment that combines within-subject design and between-group design, or if they are distinct methods. A way to design psychological experiments using both designs exists and is sometimes known as "mixed factorial design". [3]
For qualitative research, the sample size is usually rather small, while quantitative research tends to focus on big groups and collecting a lot of data. After the collection, the data needs to be analyzed and interpreted to arrive at interesting conclusions that pertain directly to the research question.
Quantitative research using statistical methods starts with the collection of data, based on the hypothesis or theory. Usually a big sample of data is collected – this would require verification, validation and recording before the analysis can take place. Software packages such as SPSS and R are typically used for this purpose. Causal ...
Diary studies can also be employed together with other research techniques within a mixed method framework and is particularly useful in obtaining rich subjective data. [4] For instance, experience sampling method (ESM) combines it with questionnaires to gather data and examine people's experiences in daily life. [5]