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Quantitative Research Design and Sample Trends: A Systematic Examination of Emerging Paradigms and Best Practices
2024, Cognizance Journal of Multidisciplinary Studies (CJMS)
Research design and sampling are pivotal in scientific research, shaping methodology and ensuring the credibility and validity of findings, necessitating clear and focused attention from researchers. Based on the above statement the study was focused on underlining the research design's basic terms and sample in order for researchers to be reliable in their research. The study used PRISMA to select the sample of documents. 30 major studies were used to explain the research objectives. The study covers only four types of research design i.e. Descriptive, Developmental, Experimental, and Casual Comparative. Results highlight the four research designs that aim to answer, words to be concerned with during objective setting, statistical tools, data visualization, words to be selected during hypothesis setting based on tools, and the minimum number of samples required depending on various tools. The research concludes that the choice of effective research design terms is pivotal. In statistical analysis, hypothesis wording directs research, with terminology so depending on the tools appropriate words need to be selected. Researchers need to make sure that the minimum sample size is right. However, larger samples improve the stability and accuracy of results. This study contributes by explaining essential research design terminology on sample selection, and their influence on statistical analysis, providing researchers with a clear guide to improve credibility and validity in their work.
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Download full-text PDF ... The study adopted a cross-sectional research design and quantitative research approach using a sample of 300 respondents from the six public hospitals in Tanzania ...
A Sample Quantitative Thesis Proposal Prepared by Mary Hayes NOTE: This proposal is included in the ancillary materials of Research Design with permission of the author. If you would like to learn more about this research project, you can examine the following thesis that resulted from this work: Hayes, M. M. (2007).
Quantitative research appeared around 1250, and was driven by investigators with the need to quantify data. Since then quantitative research has dominated the western cultural as the research method to create new knowledge. This method was originally developed in the natural sciences to study natural phenomena [Williams, 2007]. In
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Quantitative research. Quantitative research is a formal, objective, systematic process in which numerical data are used. to obtain information about the world. It is the systematic empirical investigation of observable phenomena via statistical, mathematical, or computational techniques. Introduction:
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Figure 1: Summarized form of research design types. 2.1 Quantitative Research Design Quantitative research design is the technique and measurements that produces quantifiable/discrete values (Kothari, 2007). The collected data results from empirical observations and measures. These methods require a good amount of time and planning.
The essence of research design is to translate a research problem into data for analysis so as to provide relevant answers to research questions at a minimum cost. This paper investigates what research design is, the different kinds of research design and how a researcher can choose the appropriate research design for his/her study.
What is research? Controlled collection and analysis of information in order to understand a phenomenon. Originates with a question, a problem, a puzzling fact. Requires both theory and data. Previous theory helps us form an understanding of the data we see (no blank slate). Data lets us tests our hypotheses.