CHAPTER 3 - RESEARCH METHODOLOGY: Data collection method.
The main goal of any marketing or statistical research is to provide quality results that are a reliable basis for decision-making. That is why the different types of sampling methods and techniques have a crucial role in research methodology and statistics. Your sample is one of the key factors that determine if your findings are accurate.
There are already some helpful overviews of sampling in textbooks on research methodology (see, e.g., Gray et al, 2007; Bryman, 2008), which discuss ideas covered in this paper in more detail. The aim of this paper, though, is to provide an introduction to some key concepts and approaches to sampling, as well as consider questions about sampling that researchers on religion may often face.
A crucial part of any dissertation or a thesis is the methodology section which shows the reader which the system of methods you applied to conduct an investigation of the topic of your dissertation. The methodology is used to describe the broad theoretical aspects of the chosen research methods, regardless of whether they are qualitative, qualitative or a mix of both.
RESEARCH METHODOLOGY In this chapter, I discuss the research design, area of study, population, sample of the population, sampling technique, instrument for data collection, validation of the questionnaire, administration of the instrument and method of data analysis. 3.1 RESEARCH DESIGN The researcher chose a survey research design because it best served to answer the questions and the.
Sampling methods in Research. Sampling methods are a procedure of selecting units from a wide population. Ph.D. Scholars often face issues in drawing valid conclusions the main reason for which is the wrong selection of samples. They have a question on how to select a sample that is representative of the population. Our research paper writing.
Simple Random Sampling: One of the best probability sampling techniques that helps in saving time and resources, is the Simple Random Sampling method. It is a trustworthy method of obtaining information where every single member of a population is chosen randomly, merely by chance and each individual has the exact same probability of being chosen to be a part of a sample.
For example, snowball sampling deals with hard-to-find populations, and convenience sampling allows for speed and ease. However, although some non-probability sampling methods, particularly quota and purposive sampling, ensure the sample draws from all categories in the population, samples taken using these methods may not be representative.