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Conducting a Quantitative UK Dissertation Research Methodology – Step By Step Guide
Conducting a Quantitative UK Dissertation Research Methodology – Step By Step Guide
Amassing information, documenting facts and attempting to find information in a rather unsystematic manner could be wrongfully deemed as research.

Introduction

Amassing information, documenting facts and attempting to find information in a rather unsystematic manner could be wrongfully deemed as research. On the contrary, research refers to an investigation that is appropriately structured and revolves around a phenomenon. On the contrary, it can be witnessed across every academic domain. Furthermore, this type of reemergence has been anticipated as a result of the importance associated with the selection of a research methodology.

Understanding and Tackling a Quantitative Research Method

Quantitative research is deemed as an organized inquiry to examine a phenomenon by collecting information in a numerical format and executing a statistical, mathematical or computational analysis (Apuke, 2017). Quantitative research methods are founded on the positivist paradigm that extends support to approaches deeply ingrained in statistical breakdown, while including several strategies like; structured protocols, mathematical exposition, hypotheses testing, blinding, questionnaires, quasi-experimental and experimental design, and randomization which have a restricted kind of preset responses.

Figure 1. Key Points in Writing a Quantitative Research Methodology

 

Source: Tutors India, 2022

Techniques for Data Collection

Data collection in a quantitative research would hinge on probability sampling and the use of structured tools to gather data, which is apt for diverse experience within categories of response that are predefined. Outcomes obtained through quantitative methods of data collection produce results which render it easy to generalize, summarize and comparison (Eyisi, 2016). Data for quantitative research is carried out using tools like survey questionnaires.

 

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