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Related Concept Videos

Ordinal Level of Measurement00:55

Ordinal Level of Measurement

The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
Data measured using an ordinal scale are similar to nominal scale data, but there is one major difference. The ordinal scale data can be ordered. An example of ordinal scale data is a list of the top five national parks in the...
Multiple Bar Graph01:07

Multiple Bar Graph

As the name suggests, a multiple bar graph is the same as a bar graph but has multiple bars to depict relationships between different data values. One can include as many parameters as possible. However, each parameter must have the same unit of measurement.
Each bar or column in the multiple bar graph represents a data value. These graphs are used primarily in interrelating two or more sets of data. The categories of different kinds of data are listed along the horizontal or x-axis, whereas...
Ratio Level of Measurement00:54

Ratio Level of Measurement

The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
A set of data measured using the ratio scale takes care of the ratio problem and provides complete information. Ratio scale data are like interval scale data, except they have a zero point and ratios can be calculated. For...
Nominal Level of Measurement00:56

Nominal Level of Measurement

The way a set of data is measured is called its level of measurement. Correct statistical procedures depend on a researcher being familiar with levels of measurement. Not every statistical operation can be used with every set of data. For analysis, data are classified into four levels of measurement—nominal, ordinal, interval, and ratio.
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Observational Studies01:11

Observational Studies

Observational studies are a type of analytical study where researchers observe events without any interventions. In other words, the researcher does not influence the response variable or the experiment's outcome.
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Prospective Study
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Group Design

The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between the two are due to...

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A Two-interval Forced-choice Task for Multisensory Comparisons
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Published on: November 9, 2018

Binary and multi-category ratings in a laboratory observer performance study: a comparison.

David Gur1, Andriy I Bandos, Jill L King

  • 1Department of Radiology, University of Pittsburgh, Pittsburgh, Pennsylvania 15213, USA. gurd@upmc.edu

Medical Physics
|November 4, 2008
PubMed
Summary
This summary is machine-generated.

Radiologists

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Area of Science:

  • Radiology and Medical Imaging
  • Diagnostic Performance Evaluation
  • Observer Performance Studies

Background:

  • Assessing radiologist performance in screening mammography interpretation is crucial for early cancer detection.
  • Traditional binary (recall/no recall) and semi-continuous rating scales are used, but their comparative impact on performance is debated.

Purpose of the Study:

  • To compare radiologist performance using a binary BI-RADS rating scale versus a semi-continuous receiver operating characteristic (ROC) type rating scale in retrospective mammogram interpretation.
  • To evaluate the consistency of performance metrics between these two rating scales.

Main Methods:

  • Nine experienced radiologists retrospectively interpreted 155 mammographic examinations using both a binary (recall/not recall) BI-RADS scale and a semi-continuous (0-100) ROC-type scale.
  • The vertical distance between each reader's binary operating point and their empirical ROC curve was calculated to assess performance differences.
  • Statistical analysis, including confidence intervals and p-values, was used to determine the significance of observed differences.

Main Results:

  • On average, radiologists demonstrated similar performance regardless of whether they used a binary or semi-continuous rating scale.
  • Four readers performed better with the semi-continuous scale, while four performed better with the binary scale; one reader's performance was identical on both.
  • Only one reader showed a statistically significant difference between their binary operating point and their empirical ROC curve.

Conclusions:

  • The choice between a binary or semi-continuous rating scale does not systematically alter radiologist performance in retrospective observer studies of screening mammography.
  • Results suggest that both rating scales yield consistent performance outcomes, supporting the reliability of retrospective observer performance studies.
  • The findings indicate that retrospective studies using either rating method can provide comparable insights into radiologist performance in mammography interpretation.