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Related Concept Videos

PCR01:32

PCR

Overview
The Power Superposition Principle01:19

The Power Superposition Principle

Consider a circuit with two sinusoidal voltage sources. Each one influences the circuit independently, and the superposition principle helps us understand the combined effect by adding up the responses from each source.
Power Factor Correction01:20

Power Factor Correction

The power transmission to a factory involves the transfer of apparent power, a combination of active and reactive power. The power factor measures how effectively electrical power is converted into useful work output. The ratio of the real power (KW) that does the work to the apparent power (KVA) supplied to the circuit.
RACE - Rapid Amplification of cDNA Ends02:35

RACE - Rapid Amplification of cDNA Ends

Rapid Amplification of cDNA Ends, or RACE, is one of the most effective methods to obtain a full-length cDNA from an mRNA sequence between a known internal region to the unknown sequence at the 5’ or 3’ end. The unknown region is cloned in the cDNA by a gene-specific primer that binds the known end, and a hybrid primer that attaches a predefined anchor sequence to the unknown end of the cDNA. The sequence in between is amplified by PCR with an anchor primer and a gene-specific primer.
Since the...
Power Factor01:11

Power Factor

The power factor is defined as the ratio of average (or active) power to apparent power, as illustrated by the relation
Instantaneous Power01:22

Instantaneous Power

Instantaneous power is important in electrical circuits, mainly when dealing with sinusoidal input. Instantaneous power, denoted as p(t), results from the multiplication of the instantaneous voltage (v(t)) across an element and the instantaneous current (i(t)) flowing through it. This relationship adheres to the passive sign convention and represents a fundamental principle in electrical engineering.

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Polymerase Chain Reaction: Basic Protocol Plus Troubleshooting and Optimization Strategies
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A power primer.

J Cohen1

  • 1New York University, USA.

Psychological Bulletin
|July 2, 2009
PubMed
Summary
This summary is machine-generated.

Statistical power analysis is often overlooked in behavioral research due to complex materials. This study provides accessible sample size tables for common statistical tests to improve research rigor.

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Area of Science:

  • Behavioral Sciences
  • Statistics
  • Research Methodology

Background:

  • Statistical power analysis is crucial for robust research but often neglected in behavioral sciences.
  • Inaccessibility and complexity of standard statistical power analysis materials contribute to its underutilization.

Purpose of the Study:

  • To provide a convenient and accessible presentation of sample size requirements for statistical power analysis.
  • To offer tables for sample sizes needed to achieve .80 power for detecting small, medium, and large effects.

Main Methods:

  • The study presents effect-size indexes with conventional values for small, medium, and large effects.
  • Sample sizes are tabled for eight standard statistical tests, including t-tests, correlations, sign tests, proportion differences, chi-square tests, and ANOVA.
  • Focus is on achieving .80 statistical power.

Main Results:

  • Tables detailing the necessary sample sizes for various statistical tests and effect sizes are provided.
  • The presentation aims to simplify the application of power analysis in research planning.
  • Specific sample sizes are calculated for detecting predefined effect sizes with 80% power.

Conclusions:

  • This resource aims to increase the use of statistical power analysis in behavioral research.
  • Accessible sample size tables can help researchers design studies with adequate power.
  • Improved research design through power analysis can lead to more reliable findings.