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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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Random Sampling Method01:09

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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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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.
Systematic sampling is one of the simplest methods...
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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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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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Cluster Sampling Method01:20

Cluster Sampling Method

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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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Representativeness of direct observations selected using a work-sampling equation.

Rebecca A Sharp1, Oliver C Mudford, Douglas Elliffe

  • 1The University of Auckland, New Zealand.

Journal of Applied Behavior Analysis
|March 11, 2015
PubMed
Summary
This summary is machine-generated.

Work-sampling methods can yield representative behavior samples for autism research but may require too many observations. Practical applications need to balance sample representativeness with feasibility.

Keywords:
classroom behaviorsobservational recordingrepresentativenesswork sampling

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Area of Science:

  • Applied Behavior Analysis
  • Autism Spectrum Disorder Research
  • Behavioral Observation Methods

Background:

  • Obtaining representative behavioral samples is crucial but challenging due to behavior duration.
  • Work-sampling methods offer adaptive sampling to improve representativeness.
  • Previous research has not fully explored the practical utility of work-sampling for specific populations.

Purpose of the Study:

  • To evaluate the effectiveness of work-sampling methods in obtaining representative behavioral samples.
  • To assess the practicality and limitations of work-sampling for students with autism spectrum disorder and intellectual disabilities.
  • To discuss the utility and constraints of work-sampling in applied behavior analysis.

Main Methods:

  • Conducted full-week observations of 7 behaviors for 3 students with autism spectrum disorder and intellectual disabilities.
  • Utilized work-sampling to select momentary time samples from the total observation period.
  • Compared representativeness of samples generated by work-sampling versus more practical momentary time sampling.

Main Results:

  • Work-sampling successfully produced representative behavioral samples.
  • However, achieving representativeness with work-sampling required an impractically high number of samples.
  • Practical momentary time samples yielded less representative data, especially for low-duration behaviors.

Conclusions:

  • Work-sampling methods can achieve representative samples but face practical limitations due to sample size requirements.
  • Applied behavior analysis must consider the trade-off between sample representativeness and feasibility when selecting observation methods.
  • Further research is needed to refine work-sampling techniques for efficient and effective behavioral data collection.