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Related Concept Videos

Reliability and Validity01:29

Reliability and Validity

Reliability and validity are two important considerations that must be made with any type of data collection. Reliability refers to the ability to consistently produce a given result. In the context of psychological research, this would mean that any instruments or tools used to collect data do so in consistent, reproducible ways.
Accuracy and Precision01:52

Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate measurements...
Accuracy and Precision01:52

Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.  Highly accurate measurements...
Review and Preview01:10

Review and Preview

In statistics, several tools are used to interpret the data. Measures of central tendency represent the characteristics of the data, such as mean, median, and mode. Additionally, measures of variance like standard deviation and range are used to find the spread of data from the mean. Relative standing measures the distance between data locations. Commonly used measures of relative standings are percentile, z score, and quartiles.
Percentiles are a type of fractile that partition data into...
Spearman's Rank Correlation Test01:20

Spearman's Rank Correlation Test

Spearman's rank correlation test, also known as Spearman's rho, is a nonparametric method for assessing the strength and direction of association between two variables. This test is particularly valuable when the data distribution is unknown or when the assumption of normality does not hold. Named after the English psychologist and statistician Dr. Charles Edward Spearman, it serves as the nonparametric counterpart to Pearson's correlation coefficient.
Spearman's test calculates correlation by...
Uncertainty in Measurement: Accuracy and Precision03:37

Uncertainty in Measurement: Accuracy and Precision

Scientists typically make repeated measurements of a quantity to ensure the quality of their findings and to evaluate both the precision and the accuracy of their results. Measurements are said to be precise if they yield very similar results when repeated in the same manner. A measurement is considered accurate if it yields a result that is very close to the true or the accepted value. Precise values agree with each other; accurate values agree with a true value.

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Related Experiment Videos

How accurate is peer grading?

Scott Freeman1, John W Parks

  • 1Department of Biology, University of Washington, Seattle, 98195, USA. srf991@u.washington.edu

CBE Life Sciences Education
|December 3, 2010
PubMed
Summary
This summary is machine-generated.

Peer grading in introductory biology courses is accurate enough for low-stakes assessments. Students graded practice exams less strictly than professionals, especially for complex questions, but it can reduce instructor workload.

Related Experiment Videos

Area of Science:

  • Biology Education
  • Educational Assessment

Background:

  • Weekly, written, timed, and peer-graded practice exams were previously shown to improve student performance and reduce failure rates in introductory biology.
  • The accuracy of peer grading, a method to alleviate instructor workload, requires further investigation.

Purpose of the Study:

  • To analyze the accuracy of student peer grading by comparing scores assigned by students to those assigned by a professional grader.
  • To determine if group peer grading improves accuracy compared to individual peer grading.

Main Methods:

  • Students graded practice exams, and their scores were compared to a professional grader's scores.
  • Accuracy was assessed by calculating the difference in points awarded by students versus the professional grader.
  • The impact of question cognitive demand (higher-order vs. lower-order) on grading accuracy was examined.

Main Results:

  • Students were significantly more lenient graders than the professional grader, awarding approximately 25% more points.
  • This leniency persisted whether students graded individually or in groups of four.
  • The discrepancy between student and professional grading was more pronounced for questions requiring higher-order cognitive skills.

Conclusions:

  • Peer grading may be sufficiently accurate for low-stakes assessments in introductory biology.
  • Students struggle with both answering and grading questions that target higher levels of Bloom's Taxonomy.
  • Implementing peer grading can reduce the grading burden on instructors, enabling more practice opportunities to enhance student learning.