Developing a Conceptual Framework

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Developing a Conceptual Framework


Experience suggests that when developing the research questions it is very beneficial to also diagram the problem or topic. This is often called a conceptual framework.  According to Miles and Huberman (1994), “A conceptual framework explains, either graphically or in narrative form [diagrams are much preferred], the main things to be studied - the key factors, constructs or variables - and the presumed relationships among them.” (p. 18)




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A diagram of the topic is literally worth more than 10,000 words. The task here is to create a diagram of the topic that includes clearly defined variables (independent, dependent, etc.) along with the relationships of those variables and key factors that influence the variables and the relationships.  This task is often done in conjunction with the development of the research questions and it is an iterative process.


Example



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2006 - Chad McAllister,  Requirements Determination of Information Systems: User and Developer Perceptions of Factors Contributing to Misunderstanding, PhD Dissertation

 

Example




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2004 - Joel Light, The Relationships and Effects of Employee Involvement, Employee Empowerment, and Employee Satisfaction by Job-Type in a Large Manufacturing Environment, PhD Dissertation


Example




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Mind Mapping


I will often use mind mapping to identify and explore the key variables, relationships, and contextual factors associated with my research project. Read more on mind mapping....


Align and Integrate


All the components of the research methodology should be consistent with the variables, relationships, context, etc. identified in the conceptual framework. Anytime you make a change to the conceptual framework all other components should be reviewed and revised as necessary to maintain an internally congruent design. In addition, any time you make changes to the other components of the methodology you should revisit the conceptual framework to ensure it is consistent and congruent.


References


Miles, M. B. & Huberman, A. M. (1994). Qualitative data analysis: An expanded sourcebook (2nd ed.). Thousand Oaks: Sage.