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Related Concept Videos

Sampling Methods: Overview01:06

Sampling Methods: Overview

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 sampling...
Sampling Methods: Sample Types01:18

Sampling Methods: Sample Types

Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
Sampling Plans01:23

Sampling Plans

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...
Convenience Sampling Method00:55

Convenience Sampling Method

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...
Systematic Sampling Method01:17

Systematic Sampling Method

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...
Random Sampling Method01:09

Random Sampling Method

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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Sampling Soils in a Heterogeneous Research Plot
07:11

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Published on: January 7, 2019

Sampling in Qualitative Research: Rationale, Issues, and Methods.

Mark R Luborsky, Robert L Rubinstein

    Research on Aging
    |November 8, 2011
    PubMed
    Summary
    This summary is machine-generated.

    This study addresses qualitative sampling in research, highlighting its distinct principles and practices. It introduces "qualitative clarity" to evaluate sampling methods in qualitative studies.

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    Area of Science:

    • Gerontology
    • Social Sciences
    • Humanistic Inquiry

    Background:

    • Quantitative research, particularly survey and medical research, dominates discussions on sampling in gerontology.
    • Sampling is a crucial but less explicitly discussed aspect of qualitative research in social and humanistic fields.

    Purpose of the Study:

    • To provide an explicit discussion of sampling principles, rationales, features, and practices in qualitative research.
    • To address common questions and challenges related to qualitative sampling.
    • To propose a new concept, "qualitative clarity," for assessing qualitative sampling.

    Main Methods:

    • Literature review and conceptual analysis of sampling in qualitative research.
    • Identification and description of guiding principles and common practices.
    • Development of the concept of qualitative clarity.

    Main Results:

    • Qualitative sampling, while central, requires more explicit discourse distinct from quantitative approaches.
    • Common questions regarding qualitative sampling are identified and discussed.
    • The concept of qualitative clarity is proposed as an evaluative framework.

    Conclusions:

    • There is a need for clearer articulation and assessment of sampling strategies in qualitative research.
    • "Qualitative clarity" offers a framework analogous to statistical power for evaluating qualitative sampling rigor.
    • This work aims to enhance the methodological transparency and rigor of qualitative research.