2 Method and Design Appropriate for a Doctoral Dissertation Study Miesha White

2

Method and Design Appropriate for a Doctoral Dissertation Study

Miesha White

Week 1

CMP 9901A

Method and Design Appropriate for a Doctoral Dissertation Study

A quantitative research approach is selected for this study, which aims to gather and examine numerical data to respond to the research questions, issue, and aim. Such a method of procedure considers the analysis as a deliberate form and its planning. According to this, it is possible to reach a general conclusion that the results, with the help of statistics, can be tested (Sürücü & Maslakçi, 2020). We achieve this by including an extensive and heterogeneous sample set whose relevant factors are reduced to a minimum and, by extension, via the entire study’s enhanced external and internal validity. This method of research gives the maximum opportunity to the scientists so that they can evolve their research system in a scientific way that closely resembles the ways of researchers, just like the principles.

The study’s design will be correlational, as the primary concern is to examine the relationship(s) among two or more variables. This will be logically structured as a sequence that would ultimately reveal the link between the aim (conclusions) and the issue being studied (Sürücü & Maslakçi, 2020). The mode for collecting the (data) will be to give out printouts with questionnaires to a large population sample systematically divided into groups. On that note, analysis of the data involves using statistical methods such as regression analysis to identify the significant variances in the variables and the direction of the relationship between variables.

A scholarly source in Business supports this study’s methodology and research design. This source explains the indispensable role and relevance of data analysis and processing to ascertain the relationships between variables as well as to prove or disprove the hypotheses (Sürücü & Maslakçi, 2020). Corroboration with empirical evidence is obtained through a correlational design, which also follows the concept of positivism, which aims to discover the theory that shows the relationship between variables. Such core sources will be essential for the design of a solid research methodology and model.

The data-gathering techniques for this study will include administering surveys to a sample of participants. The sample size will be deducted using power analysis to be valid and applicable to the discussed design. The data analysis will be done through techniques such as regression analysis for relating variables and derived hypotheses using the scientific method (Sürücü & Maslakçi, 2020). The study group consists of people who belong to the same community or group, and these samplers will be selected through random sampling, which renders them representative of the whole. These data-collection and analysis approaches that are suitable for the research design are suitable for this research methodology and objectives.

The selected research methodology and design are the best choices for this study because they directly align with the stated problem and purpose, which involves identifying the relationship between two variables. The correlational design permits one to explore the correlation; meanwhile, the technique facilitates the quantitative process, making data collection and analysis more systematic. This process and its design share with a research question of mine, exploring the possibility of a single variable affecting the other. Fundamentally, applying a quantitative, correlational type of rigorous research design will help obtain the intended results, hence providing significant contributions to address the research problem and answer the research questions.

Reference

Sürücü, L., & Maslakçi, A. (2020). Validity and reliability in quantitative research. Business & Management Studies: An International Journal, 8(3), 2694-2726. https://www.bmij.org/index.php/1/article/view/1540