What is the significance of a theoretical framework in generating research output?

A theoretical framework is based on scientific concepts and theories related to the main research topic. A research design provides a strategy to investigate and sets the parameters for data compilation.

In this article, we will explain the relevance of the research design by showing a step-by-step process of creating a design for your next research project.  

So, why create a framework is important?

The research framework helps researchers to demonstrate an understanding of the subject area. Creating a research design helps in choosing the right research approach and identifying the process of gathering and interpreting relevant information.

Having the right framework set for the research is of assistance to researchers, as it is primarily used to address the research questions and other aspects of research such as:

  • Type of data required to conduct the experiment
  • Type of research resources to be used
  • Characteristics of the research participants
  • Base of hypothesis statement
  • Methodology for data analyzing
  • Link between the research variables

Following are the steps involved in preparing a research design:

  1. Identify the research problem
  2. Type of data required
  3. Choose a suitable methodology
  4. Process for data analysis
  5. Write a conclusion
  • Identify the research problem

There can be more than one research design based on the research question, situation, and priority of the researcher. One research design may cover one aspect, while the other design may address different aspects of the study. One of the fundamental aspects of a design is to think practically before you structure it.

What to do?

  • Create a well-detailed timeline to gather data and finish the paper on time
  • Identify the characteristics of research participants and group
  • Gain sufficient knowledge about various statistical analyses and techniques
  • Address the research question and test the hypothesis statement
  • Type of data required

After addressing the research question, you will be able to establish the type of data you need to gather.

  • Primary data

Primary data is collected using the source of information, such as interviews and surveys.

  • Secondary data

Secondary data includes literature of review, reports, case studies, and other published sources.

  • Qualitative data

Qualitative data provides a description and establishes a link between the research variables and observations.

  • Quantitative data

Quantitative data requires a mathematical approach for testing the hypothesis and obtaining results.

  • Choose a suitable methodology

Identify the strategies and methods to collect the data, as it will help you find the solution to the existing research problem. Some common types of methodologies are listed below.

  • Interview

Conduct an in-depth interview by preparing a list of selective questions to review the various aspects of the selected topic.

  • Questionnaire

Gain primary information by selecting the sample size and type. The respondents will be requested to answer a set of questions that will help you produce valuable data.

  • Experiment

Consider the variables and setting for performing a series of field experiments.

  • Process for data analysis

You can obtain accurate results and data by choosing the right process for analyzing and interpreting the data. It answers the basic research question and tests the hypothesis. There are two types of techniques for data analysis: qualitative and quantitative. In qualitative analysis, figures, words, opinions, and ideas are analyzed, whereas in quantitative analysis, research variables are analyzed using statistical methodology.

  • Write a conclusion

Write a research proposal to plan the execution and implementation of your research project. It is an integral part of structuring and finding a solution to research questions.

Follow the above-mentioned steps and prepare a research design.

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