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Population and Target Population in Research Methodology
2024, e, Golden Ratio of Social Science and Education
This paper thoroughly explores the foundational principles governing population and target population concepts within research methodology. It delves into the essential roles these concepts play in shaping the design and influencing the interpretation of research studies. Through an exhaustive analysis, it meticulously outlines the nuances that differentiate these two concepts, elucidating their respective contributions and implications across diverse research paradigms. Moreover, this paper underscores the importance of establishing clear definitions and boundaries for both the population and the target population. It emphasises how such precision is indispensable in guiding the formulation of effective sampling strategies, which are pivotal for ensuring the accuracy and reliability of study outcomes. Furthermore, it sheds light on how the clarity in defining these concepts significantly impacts the generalizability of research findings, elucidating how findings derived from a well-defined target population can be more confidently extrapolated to broader populations. In addition to methodological considerations, this paper investigates the ethical dimensions inherent in delineating population and target population. It underscores the moral imperative of accurately representing the groups under study, particularly ensuring equitable access to research participation and safeguarding against potential biases.
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This paper thoroughly explores the foundational principles governing population and target population concepts within research methodology. It delves into the essential roles these concepts...
In other words, a population is a collection of all the units that share the variable characteristic under investigation and for which generalizations from the research can be made.
Population is a complete set of people with specified characteristics [35]. The target population for this study included any of the four key administrators (principal, two deputy...
The purpose of this article is to present clear definitions of the population structures essential to research, to provide examples of how these structures are described within research, and to propose a basic structure that novice research-ers may use to ensure a clearly and completely defined population of interest and sample from which they w...
In research, the population refers to the entire group of individuals, objects, or events that share a common characteristic and are the focus of the study. It represents the complete set of elements that the researcher aims to study and draw conclusions about (Jilcha Sileyew, 2020; Garg, 2016).
A population is a complete set of people with specified characteristics, while a sample is a subset of the population. 1 In general, most people think of the defining characteristic of a population in terms of geographic location. However, in research, other characteristics will define a population. Additional defining characteristics may be ...
This paper thoroughly explores the foundational principles governing population and target population concepts within research methodology. It delves into the essential roles these concepts play in shaping the design and influencing the interpretation of research studies.
Defining Population and Target Population A population is a cornerstone in research methodology, encapsulating a collective of individuals who exhibit shared characteristics within a defined geographic or institutional domain (MartínezMesa et al., 2016).
What is the study population? The study population is defined as the group identified to answer the research question and ideally, in the setting of a clinical trial, the population most likely to benefit from a proposed intervention. How can the study population be defined?
Population and sample: The population is the group to whom you want to apply your results. The sample is the group that you have chosen from your population from which to collect data. For example, researchers might have access to 3,000 students. Rather than collect data from all 3,000 students, they might choose 300