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Related Concept Videos

Sampling Plans01:23

Sampling Plans

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Sampling is a crucial step in analytical chemistry, allowing researchers to collect representative data from a large population. Common sampling methods include random, judgmental, systematic, stratified, and cluster sampling.
Random sampling is a method where each member of the population has an equal chance of being selected for the sample. It involves selecting individuals randomly, often using random number generators or lottery-type methods. For example, when analyzing the properties of a...
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Convenience Sampling Method00:55

Convenience Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
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Stratified Sampling Method01:16

Stratified Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
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Sampling Methods: Overview01:06

Sampling Methods: Overview

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A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling. 
In analytical chemistry, the choice of...
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Systematic Sampling Method01:17

Systematic Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
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Random Sampling Method01:09

Random Sampling Method

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Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest. Among the various sampling methods used by...
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Purposeful Sampling for Qualitative Data Collection and Analysis in Mixed Method Implementation Research.

Lawrence A Palinkas1, Sarah M Horwitz, Carla A Green

  • 1School of Social Work, University of Southern California, 669 W. 34th Street, Los Angeles, CA, 90089-0411, USA, palinkas@usc.edu.

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Purposeful sampling is key in qualitative research. This study reviews strategies for implementation research, recommending combined approaches for richer data.

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Area of Science:

  • Qualitative Research Methods
  • Implementation Science
  • Sampling Strategies

Background:

  • Purposeful sampling is essential for selecting information-rich cases in qualitative research.
  • Criterion sampling is frequently used in implementation research.
  • Combining sampling strategies may enhance implementation research.

Purpose of the Study:

  • To review purposeful sampling principles and practices in implementation research.
  • To summarize various purposeful sampling strategies.
  • To provide recommendations for sampling designs in state implementation research.

Main Methods:

  • Review of purposeful sampling principles and practices.
  • Summary of different purposeful sampling strategies.
  • Development of recommendations for single or multistage sampling designs.

Main Results:

  • Criterion sampling is common but potentially limited in implementation research.
  • Combining sampling strategies offers a more robust approach.
  • Recommendations are provided for effective purposeful sampling in implementation research.

Conclusions:

  • Purposeful sampling is critical for implementation research.
  • Multistage or combined sampling strategies are often more appropriate.
  • The study offers guidance for selecting optimal sampling designs.