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Related Concept Videos

Range00:59

Range

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The range is one of the measures of variation. It can be defined as the difference between a dataset's highest and lowest values. For example, in the study of seven 16-ounce soda cans, the filled volume of soda was measured, thus producing the following amount (in ounces) of soda:
15.9; 16.1; 15.2; 14.8; 15.8; 15.9; 16.0; 15.5
Measurements of the amount of soda in a 16-ounce can vary since different subjects record these measurements or since the exact amount - 16 ounces of liquid, was not...
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Range Rule of Thumb to Interpret Standard Deviation01:13

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The range rule of thumb in statistics helps us calculate a dataset's minimum and maximum values with known standard deviation. This rule is based on the concept that 95% of all values in a dataset lie within two standard deviations from the mean.
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Today, scientists agree that good research is ethical in nature and is guided by a basic respect for human dignity and safety. However, this has not always been the case. Modern researchers must demonstrate that the research they perform is ethically sound.
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Distance Corrections

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To achieve precise distance measurements, especially in surveying and construction, certain corrections must be applied to account for potential sources of error like the standardization errors, temperature variations, and slope adjustments.Standardization error emerges when measurement equipment undergoes changes, such as wear, repairs, or weather impacts. To address this, surveyors compare the equipment’s readings to a standard. This process identifies any deviation that might lead to...
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Longitudinal Research02:20

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Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
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Some researchers gain access to large amounts of data without interacting with a single research participant. Instead, they use existing records to answer various research questions. This type of research approach is known as archival research. Archival research relies on looking at past records or data sets to look for interesting patterns or relationships. For example, a researcher might access the academic records of all individuals who enrolled in college within the past ten years and...
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Correction for range restriction: Lessons from 20 research scenarios.

Thomas R Carretta1, Malcolm James Ree2

  • 1Air Force Research Laboratory, Airman Biosciences Division, Performance Optimization Branch, Wright-Patterson AFB, Ohio.

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|March 27, 2024
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Summary

Range restriction in samples can lead to incorrect statistical inferences. Applying range restriction correction methods improves accuracy and understanding of variable relationships in research.

Keywords:
Correlationrange restrictionresearch methods

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Area of Science:

  • Psychometrics
  • Statistical Methods
  • Research Methodology

Background:

  • Research data are often limited to recruited participants, creating a range-restricted sample.
  • Inferences and decisions based on range-restricted samples can be mistaken, impacting generalizability to the broader population.

Purpose of the Study:

  • To illustrate the consequences of not applying range restriction correction methods.
  • To provide guidance on the correct application and interpretation of range restriction corrections in statistical analysis.

Main Methods:

  • Presentation of realistic scenarios to explain the impact of range restriction.
  • Discussion of common errors in applying correction formulas and confidence intervals.

Main Results:

  • Failure to correct for range restriction leads to inaccurate correlation estimates.
  • Incorrect application of correction formulas or inappropriate unrestricted samples yield flawed results.
  • Proper correction enhances the accuracy of statistical estimates and theoretical understanding.

Conclusions:

  • Range restriction correction is crucial for accurate statistical inference in research.
  • Improved understanding and application of correction methods enhance the interpretation of real-world results and theoretical insights.