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Systematic Error: Methodological and Sampling Errors

Systematic Error: Methodological and Sampling Errors

In the case of systematic errors, the sources can be identified, and the errors can be subsequently minimized by addressing these sources. According to the source, systematic errors can be divided into sampling, instrumental, methodological, and personal errors.
Sampling errors originate from improper sampling methods or the wrong sample population. These errors can be minimized by refining the sampling strategy. Defective instruments or faulty calibrations are the sources of instrumental...

Uncertainty in Measurement: Accuracy and Precision

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.

Observational Studies

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.
There are three types of observational studies – Prospective, retrospective, and cross-sectional.
Prospective Study
Prospective studies, also known as longitudinal or cohort studies, are carried out by collecting future data from groups sharing similar characteristics. One example of...

Cross-Sectional Research

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...

Regression Toward the Mean

Regression Toward the Mean

Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when researchers try to extrapolate results...

Archival Research

Archival Research

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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Related Experiment Video

Updated: Jun 21, 2026

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory

Published on: June 14, 2019

Systematic review data extraction: cross-sectional study showed that experience did not increase accuracy.

Jennifer Horton¹, Ben Vandermeer, Lisa Hartling

¹Department of Pediatrics, University of Alberta/Capital Health Evidence-Based Practice Centre, Edmonton Alberta, Canada. jhorton@ualberta.ca

Journal of Clinical Epidemiology

|August 18, 2009

Summary

Systematic review experience did not significantly impact data extraction accuracy, with high error rates across all levels. However, more experienced reviewers were more efficient, highlighting the need for improved data extraction training strategies.

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Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

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Published on: June 30, 2020

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Last Updated: Jun 21, 2026

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory

Published on: June 14, 2019

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Measuring Statistical Learning Across Modalities and Domains in School-Aged Children Via an Online Platform and Neuroimaging Techniques

Published on: June 30, 2020

Area of Science:

Medical research methodology
Evidence-based practice

Background:

Data extraction is a critical step in systematic reviews.
The impact of reviewer experience on data extraction accuracy and efficiency is not fully understood.

Purpose of the Study:

To assess how systematic review and data extraction experience influence the accuracy and efficiency of data extraction.
To identify potential areas for improving data extraction processes in systematic reviews.

Main Methods:

A prospective cross-sectional study was conducted with participants categorized by experience level (minimal, moderate, substantial).
Data extraction accuracy and time were compared across experience groups using three insomnia treatment studies.
Error rates, omission errors, inaccuracy errors, and meta-analysis accuracy were primary outcomes.

Main Results:

Error rates in data extraction were consistently high across all experience levels (28.3%–31.2%).
No significant differences were found in error rates or meta-analysis accuracy between experience groups.
Time required for data extraction decreased with increased experience, approaching statistical significance.

Conclusions:

High error rates in data extraction persist regardless of reviewer experience.
While experience may improve efficiency, it does not guarantee accuracy.
Developing targeted strategies for mastering data extraction is crucial, rather than solely relying on prior experience.