The Layers of Research Design

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The Layers of Research Design

Introduction:
The purpose of doing research is mostly to answer a question or to solve a problem. The research work is started by identifying what type of data is needed and sources of obtaining this data. There are a number of data collection techniques such as questionnaires, interviews and personal observation. Besides all these sources secondary data can also be used. The final decision about overall research design is represented by selection of technique(s) used to obtain data and procedure(s) used to analyze this data. It is the core of whole research design. In the article, we use the “Research Onion” as symbolic word to describe relation between the core of research onion and outer layers on
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Data collection and analysis are likely to involve qualitative data from the deep investigations with small samples.
In another philosophy, called pragmatism, the importance of research is in finding practical consequences. In this philosophy researcher consider that a single view point cannot provide complete picture and there may be multiple view points that can do so. It does not mean that pragmatic researcher would apply a variety of data collection techniques and procedures. Instead research design should enable reliable data that support further action.

Methodological choice:
This layer highlights the decision about whether to choose a quantitative method(s) or qualitative method(s) or a mixture of both. Researcher can select single data collection technique and analysis procedure either a mono method quantitative design (e.g. Data collection using questionnaire and analysis statistically) or a mono method qualitative design (e.g. Data collection through deep interviews and analysis as narratives). Alternatively they can use multiple methods. In multi method quantitative design, researcher use multiple data collection techniques (e.g. Questionnaire and structured observations and statistically analyzed). For multi method qualitative design, he uses multiple qualitative data collection techniques (e.g. In depth interviews and diary acounts with associated analysis procedures). A mixed method design includes
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