Sampling in Health and Social Care Research

Sampling in Health and Social Care Research

Learning Objectives

At the end of the lesson you will understand the concept of sample population and research sample.
At the end of the lesson you will recognize the need for sampling in health and social care research.
At the end of the lesson you will identify different sampling methods and their appropriateness.
At the end of the lesson you will explain the challenges of sampling in research involving small and large sample populations.

What do you already know about sampling in research?

Concept of Sample Population and Research Sample

Sample Population: A subset of individuals from a larger population used in a research study.
Research Sample: The actual group of subjects selected from the sample population for the study.
Sampling: The process of selecting a portion of the population to represent the entire population.

Importance of Sampling in Health and Social Care Research

Understanding the importance of sampling in research.
Making inferences about health or social phenomena of interest.
Validity and reliability of the study.

Sampling Methods and Their Appropriateness

Random Sampling: Every member of the population has an equal chance of being selected.
Stratified Sampling: Divides the population into subgroups and samples are taken from each subgroup.
Convenience Sampling: Subjects are selected due to their convenient accessibility and proximity to the researcher.

Challenges of Sampling in Small and Large Sample Populations

Ensuring representativeness of the sample.
Dealing with practical limitations of sample size.

Definition List

Sample Population: A subset of individuals from a larger population used in a research study.
Research Sample: The actual group of subjects selected from the sample population for the study.
Sampling: The process of selecting a portion of the population to represent the entire population.
Random Sampling: A method where every member of the population has an equal chance of being selected.
Stratified Sampling: A method that divides the population into subgroups and samples are taken from each subgroup.
Convenience Sampling: A non-probability sampling method where subjects are selected due to their convenient accessibility and proximity to the researcher.

Write down 3 things you learned in this lesson.

Have students enter three things they learned in this lesson. With this they can indicate their own learning efficiency of this lesson.

Write down 2 things you want to know more about.

Here, students enter two things they would like to know more about. This not only increases involvement, but also gives them more ownership.

Ask 1 question about something you haven't quite understood yet.

The students indicate here (in question form) with which part of the material they still have difficulty. For the teacher, this not only provides insight into the extent to which the students understand/master the material, but also a good starting point for the next lesson.