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Related Concept Videos

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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Cluster Sampling Method01:20

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Appropriate sampling methods ensure 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 cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
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Sampling Plans01:23

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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.
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Systematic Sampling Method01:17

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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.
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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.
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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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Address-Based Sampling for Recruiting Rural Subpopulations: A 2-Phase, Multimode Approach.

Tiffany L Thomson1, Julianna M Nemeth1, Juan Peng2

  • 1Division of Health Behavior and Health Promotion, Ohio State University College of Public Health, Columbus, Ohio.

The Journal of Rural Health : Official Journal of the American Rural Health Association and the National Rural Health Care Association
|July 8, 2017
PubMed
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This study enhanced rural women

Keywords:
Appalachiaaddress-based samplingrecruitmentruralspecial populations

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Area of Science:

  • Public Health
  • Epidemiology
  • Rural Health

Background:

  • Rural populations present unique challenges for health research recruitment.
  • Traditional sampling methods may not effectively reach all eligible individuals in remote areas.

Purpose of the Study:

  • To describe the recruitment of a specific subpopulation of women in a rural area.
  • To adapt an existing 2-phase address-based sampling protocol.
  • To incorporate a mixed-mode approach for improved reach.

Main Methods:

  • Phase 1: Household enumeration questionnaire mailed to 1,950 households in Ohio Appalachian counties.
  • Phase 2: One eligible woman per responding household contacted by field interviewers for an in-person health survey.
  • Utilized a 2-phase address-based sampling protocol with a mixed-mode strategy.

Main Results:

  • 408 women completed the in-person health survey.
  • Phase 1 response rate was 44.4%.
  • Phase 2 response rate was 70.3%, considered encouraging for in-person interviews.

Conclusions:

  • A mixed-mode approach can be effective for recruiting rural subpopulations.
  • Findings suggest implications for future health research in similar settings.
  • The study highlights successful adaptation of sampling methods for rural health surveys.