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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 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...
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...
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...
Data Collection by Survey01:07

Data Collection by Survey

The systematic method of obtaining and analyzing accurate information of a population is called data collection. A survey is a standard method of data collection that involves collecting information from a target human population about their experience, opinion, or knowledge of a product, service, or process. The responses are recorded and interpreted. The most common survey examples are written questionnaires, face-to-face or telephonic conversations, focus groups, and electronic (e-mail or...
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...

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Deployment and Retrieval of Mineral Samplers
05:52

Deployment and Retrieval of Mineral Samplers

Published on: January 20, 2026

Sampling Development.

Karen E Adolph1, Scott R Robinson

  • 1New York University & Idaho State University.

Journal of Cognition and Development : Official Journal of the Cognitive Development Society
|December 6, 2011
PubMed
Summary
This summary is machine-generated.

Accurate developmental psychology research needs dense sampling to reveal true developmental trajectories. Researchers should strategically sample frequently during critical periods to avoid undersampling errors.

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Sampling Soils in a Heterogeneous Research Plot
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Last Updated: May 26, 2026

Deployment and Retrieval of Mineral Samplers
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Published on: January 20, 2026

Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers
10:29

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Sampling Soils in a Heterogeneous Research Plot
07:11

Sampling Soils in a Heterogeneous Research Plot

Published on: January 7, 2019

Area of Science:

  • Developmental Psychology
  • Research Methodology

Background:

  • Accurate depictions of developmental change are foundational for psychological research and theory development.
  • Current research designs often use widely spaced sampling intervals, potentially threatening the validity of findings.

Purpose of the Study:

  • To discuss optimal sampling strategies for accurately discerning the shape of developmental change.
  • To highlight the risks of undersampling and oversampling in developmental research.

Main Methods:

  • The article discusses theoretical approaches to sampling developmental change.
  • It examines the magnitude of errors associated with different sampling densities.
  • Suggestions are provided for strategic, denser sampling during critical developmental periods.

Main Results:

  • Widely spaced sampling intervals can lead to inaccurate representations of developmental trajectories.
  • Dense, daily sampling over critical periods is ideal but often challenging.
  • Strategic denser sampling can mitigate errors when daily sampling is not feasible.

Conclusions:

  • Researchers must prioritize sampling on a developmental time scale to accurately understand developmental trajectories.
  • Addressing sampling density is crucial for the validity of developmental psychology research.
  • Strategic and dense sampling, even if not daily, is essential for robust developmental insights.