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LESSON 64 - RESEARCH METHODOLOGY || SECTION 3.4: TARGET POPULATION thumbnail

LESSON 64 - RESEARCH METHODOLOGY || SECTION 3.4: TARGET POPULATION

5 min read

Based on RESEARCH METHODS CLASS WITH PROF. LYDIAH WAMBUGU's video on YouTube. If you like this content, support the original creators by watching, liking and subscribing to their content.

TL;DR

Target population is the group with the attributes relevant to the research problem and to which findings are intended to generalize.

Briefing

Target population is the group of people (or other units) that has the specific characteristics a researcher wants to study—and to which findings are intended to apply. The distinction matters because research conclusions depend on who is actually being studied and who the results are meant to represent. In planning a study, researchers must decide early: “Who will answer my research questions?” and whether the study will cover everyone or only a subset.

A population refers to the entire set of people, events, or things of interest to the researcher. Each individual in that population is an element, while the numerical measurement of a characteristic is a parameter. In practice, researchers often focus on a manageable subset rather than the whole population, which is where the target population and accessible population come in. For example, if the research problem is academic performance, the relevant population is likely students (and possibly lecturers/teachers), not business people, because the study’s defining characteristic is best found in those groups.

The lesson also draws a sharp line between two related concepts: unit of analysis and unit of observation. The unit of analysis is the primary subject for statistical analysis—the entity the study will make inferences about and report on. That unit can be a person, organization, group, or project. The unit of observation is the object from which information is collected; it can be the same as the unit of analysis, but often differs. A project illustrates this: the unit of analysis might be the project itself, while the unit of observation could be the workers, project team members, or beneficiaries who provide the data needed to describe that project.

Two population types are emphasized. The target population consists of individuals who possess the attributes of interest and to whom the researcher plans to generalize findings. In a hospital example, the overall hospital workforce includes doctors, nurses, technical staff, security, and hospitality staff, but a researcher might focus only on health workers as the target population because those are the people with the relevant attributes. The accessible (or study) population is the subset of the target population that the researcher can reasonably reach—often limited by geography, institutions, or administrative constraints. Importantly, “accessible” does not mean “convenient”; it means the group that is best positioned to answer the research problem.

A key assumption underpins how proposals are written: if the target population is small enough and all members are both willing and available, then there may be no need to specify an accessible population separately. That assumption is why proposals typically label the group as “target population” in Section 3.4. When writing this section, researchers are required to specify all participants to whom results will be generalized, including the actual number of persons in each relevant category (e.g., students, lecturers, parents, education officers, monitoring and evaluation officers). The lesson closes by previewing the next topic—sample size and sampling techniques.

Cornell Notes

Target population is the set of individuals (or other units) with the characteristics a researcher wants to study and to whom findings will be generalized. A population is the entire group of interest; each individual is an element and the measured characteristic is a parameter. The lesson distinguishes unit of analysis (the entity inferred about) from unit of observation (the entity from which data is collected), noting they can match or differ—for instance, a project can be the unit of analysis while workers or beneficiaries are the unit of observation. Target population differs from accessible population: the latter is the reachable subset of the former, constrained by factors like location or institutions. If the target population is small and fully reachable, proposals may treat it as the accessible group as well.

How does a researcher decide who belongs in the target population?

Membership depends on whether individuals have the attributes relevant to the research problem and whether the researcher plans to generalize findings to that group. For example, in a study of academic performance, students (and possibly lecturers/teachers) fit the target population because they possess the characteristics needed to answer questions about academic performance. People outside that characteristic set—like business people—would not be appropriate.

What is the difference between unit of analysis and unit of observation, and why can they differ?

Unit of analysis is the primary entity subjected to inference and statistical analysis (what the study reports about). Unit of observation is the object from which information is collected (what is measured/observed). They can differ when the entity being inferred about cannot be directly questioned—for example, if the unit of analysis is a project, the unit of observation may be the project team, workers, or beneficiaries who provide data to describe the project.

What makes accessible population different from target population?

Accessible population is the subset of the target population that the researcher can reasonably reach. It may be limited to a region, state, city, or institution. The lesson stresses that “accessible” is not about convenience; it reflects the best available group for answering the research problem. If a study aims at all health workers but can only reach health workers at a particular level (e.g., level four), that reachable group becomes the accessible population.

When is it acceptable to treat the target population as the accessible population in a proposal?

When the target population is small enough that all members are both willing and available to participate, there may be no need to specify an accessible population separately. The lesson frames this as an assumption used when writing Section 3.4, where “target population” is used because access is presumed sufficient for sampling.

What specific requirements must be met when writing Section 3.4 on target population?

Researchers must specify the participants to whom results will be generalized and provide the actual number of persons in each relevant category based on records (not hypothetical numbers). Categories depend on the problem—for instance, academic performance might involve students, lecturers, parents, education officers, and monitoring and evaluation officers.

Review Questions

  1. In your own words, define target population and explain how it differs from accessible population.
  2. Give an example where unit of analysis and unit of observation are not the same, and explain who would be in each.
  3. What information (including numbers) must be included when specifying a target population in a research proposal?

Key Points

  1. 1

    Target population is the group with the attributes relevant to the research problem and to which findings are intended to generalize.

  2. 2

    A population is the entire set of people/events/things of interest; each individual is an element and measured characteristics are parameters.

  3. 3

    Unit of analysis is the entity inferred about and reported on, while unit of observation is the entity from which data is collected.

  4. 4

    Target population and accessible population differ because access may be limited by geography, institutions, or administrative constraints.

  5. 5

    Accessible population is not “convenient” sampling; it is the reachable subset best positioned to answer the research question.

  6. 6

    If the target population is small and all members are willing and available, proposals may not need to distinguish accessible population separately.

  7. 7

    Section 3.4 requires specifying all participant categories for generalization and stating the actual number of participants in each category based on records.

Highlights

Target population is defined by the attributes relevant to the research problem and by the plan to generalize findings to that group.
Unit of analysis and unit of observation can differ—especially when the study infers about a project but collects data from workers or beneficiaries.
Accessible population is the reachable subset of the target population, constrained by real-world access rather than convenience.
A proposal may treat target and accessible populations as the same when the target population is small and fully reachable.

Topics

  • Target Population
  • Unit of Analysis
  • Unit of Observation
  • Accessible Population
  • Research Proposal Methodology