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Related Concept Videos

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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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. 
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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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Stratified Sampling Method01:16

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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.
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Sampling Theorem01:15

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In signal processing, the analysis of continuous-time signals, denoted as x(t), often involves sampling techniques to convert these signals into discrete-time signals. This process is essential for digital representation and manipulation. A critical component in sampling is the train of impulses, characterized by the sampling interval and the sampling frequency. The relationship between these parameters and the original signal's properties dictates the success of the sampling process.
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Experiencing Sampling Research from Its Beginnings into the Future.

Reed W Larson1

  • 1University of Illinois, Urbana-Champaign.

Journal of Research on Adolescence : the Official Journal of the Society for Research on Adolescence
|October 2, 2019
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Summary
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Adolescent psychology research reveals consistent emotional patterns, like positive feelings with friends and negative ones when alone. New methods enhance understanding of daily life and self-regulation in teens.

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Area of Science:

  • Psychology
  • Adolescent Development
  • Behavioral Science

Background:

  • Early experience sampling research mapped adolescent daily life ecology.
  • Identified consistent patterns in psychological states across diverse adolescent samples.
  • Highlighted greater emotional variability in adolescents compared to adults.

Purpose of the Study:

  • Expand on early experience sampling research using ambulatory assessment.
  • Address challenges in participant engagement and data analysis for complex adolescent lives.
  • Explore sequential processes and theory development in adolescent daily functioning.

Main Methods:

  • Utilizing ambulatory assessment to gather real-time data from adolescents.
  • Employing micro-longitudinal analyses to examine sequential psychological processes.
  • Integrating qualitative data to enrich understanding of daily experiences and self-regulation.

Main Results:

  • Confirmed patterns of positive emotions with peers and negative emotions when alone.
  • Observed high challenge and low motivation during schoolwork in adolescents.
  • Documented wider emotional variability and more frequent extreme positive states in teens versus adults.

Conclusions:

  • Ambulatory assessment offers advanced methods for studying adolescent daily lives.
  • Micro-longitudinal analyses and qualitative data are key for understanding complex daily processes.
  • Further research can develop empirically-based theories on adolescent meaning-making and self-regulation.