Operationalization of Variables; A Research Procedure Leading to Conceptualization & Research Question Development (HIGHER ACADEMIC WRITING GUIDE)

After the discussion of the literature reviews being gathered as the secondary data, hypothesizing each independent variable in relation to the dependent variables is necessary in order to materialize the conceptual ideas being described in the research framework.  

As a result, the number of hypothesis subject for testing is equivalent to the number of perceived connection or relationship from the independent variables towards the dependent variable.  However, in cases that the conceptual framework is a little complicated due to the desired concept being created by the researcher, it will allow the independent variable to be used also as dependent variable allowing the structure of the framework to have a latent and observed variable that will finally allow the rule usage of SEM or Structural Equation Model to be used in order to properly interprete the whole desired concept of the research writer.

Having said that the number of hypothesis will depend as to how many desired test is available for conceptualization and questionnaire development; a perfect alignment of hypothesis, concept, conceptual definition, operational component, and level of measurement must be clearly defined to be able to create a clear question for the target respondents.  

As every research writer believes that wrong question will lead to wrong data collection and answer.  As such, in the process of creating the operationalization a systematic analysis is needed to avoid misinterpretation of research questions.

Finally, the research questions being created as the finish product of the research proposal are a byproduct of the conceptual research framework, hypothesis, operationalization table, and the questionnaire content.  A clear alignment of logic and ideas must be the objective of the research proposal in order to acquire the real and desired information data.  Certainly, questionnaire samples must be tested as pilot testing to check the possible erroneous words used in creating the questions that will lead to a bias answer from the respondents.  As to some research experts believes that there is no perfect research, but the real aim and motive of research is to gather the correct data as much as possible.