Exploring the principles of sampling in research, this overview discusses random and non-random sampling strategies, data types, and the importance of a representative sample. It highlights the balance between accuracy and practicality in selecting a subset of a population for study, aiming to minimize bias and maximize the validity of research findings. The text also differentiates between qualitative and quantitative data, emphasizing their impact on sampling techniques and research analysis.
Show More
Sampling is the process of selecting a subset of individuals, objects, or events from a larger population to make judgments about the entire group
Population
The population is the complete pool from which a sample is drawn and is defined by the research objectives
Sample
A sample is a representative subset of the population that reflects its characteristics when chosen correctly
The validity of research findings depends on the representativeness of the sample, which is influenced by sample size and selection methods
Random sampling ensures that every population member has an equal chance of selection and includes methods such as simple random sampling, systematic sampling, and stratified sampling
Quota Sampling
Quota sampling involves segmenting the population into groups and collecting data until a predetermined number of responses is obtained from each segment
Convenience Sampling
Convenience sampling selects individuals who are easily accessible, making it cost-effective and straightforward
Researchers must carefully consider their research goals, the nature of the population, and resource constraints when selecting a sampling method
Qualitative data consists of non-numerical information that describes qualities or characteristics, such as opinions or behaviors
Continuous Data
Continuous data can take on any value within a range and is often measured, such as weight or temperature
Discrete Data
Discrete data can only take on specific, separate values and is typically counted, like the number of students in a classroom
The type of data collected influences the choice of sampling technique and the subsequent analysis
00
Define: Population in research
Complete pool from which a sample is drawn, defined by research objectives.
01
Characteristics of a representative sample
Reflects population traits, influenced by size and selection methods.
02
Difference: Sampling unit vs. Sampling frame
Sampling unit is an individual element; sampling frame is the list or database for sample selection.
