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Another way in which a group presence can affect performance is social loafing—the exertion of less effort by a person working together with a group. Social loafing occurs when our individual performance cannot be evaluated separately from the group. Thus, group performance declines on easy tasks (Karau & Williams, 1993). Essentially individual group members loaf and let other group members pick up the slack. Because each individual’s efforts cannot be evaluated,...
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Systematic Error: Methodological and Sampling Errors01:15

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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...
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Effective sample preparation is crucial for accurate and reliable laboratory analysis. During this process, two significant sources of error can arise: concentration bias from improper sample splitting and contamination caused by methods used to reduce particle size, such as grinding or homogenization. Identifying and minimizing these potential errors is crucial to ensuring the validity of the analysis.
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When conducting an experiment, it is crucial to have control to reduce bias and accurately measure the dependent variables. It also marks the results more reliable. Controls are elements in an experiment that have the same characteristics as the treatment groups but are not affected by the independent variable. By sorting these data into control and experimental conditions, the relationship between the dependent and independent variables can be drawn. A randomized experiment always includes a...
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Scientists always try their best to record measurements with the utmost accuracy and precision. However, sometimes errors do occur. These errors can be random or systematic. Random errors are observed due to the inconsistency or fluctuation in the measurement process, or variations in the quantity itself that is being measured. Such errors fluctuate from being greater than or less than the true value in repeated measurements. Consider a scientist measuring the length of an earthworm using a...
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Related Experiment Video

Updated: Aug 15, 2025

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory
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Error tight: Exercises for lab groups to prevent research mistakes.

Julia F Strand1

  • 1Department of Psychology, Carleton College.

Psychological Methods
|January 3, 2023
PubMed
Summary

Human error in scientific research can have severe consequences. This tutorial helps lab groups identify and minimize research errors by applying human factors principles to workflows and lab culture.

Area of Science:

  • Scientific Research
  • Laboratory Management
  • Human Factors

Background:

  • Human error is inherent in scientific research, leading to potential issues like data loss or article retractions.
  • Existing guidelines often lack specificity, necessitating a tailored approach to error prevention.

Purpose of the Study:

  • To provide a framework for laboratory groups to identify potential error points in their research workflow.
  • To offer strategies for minimizing errors by integrating human factors concepts into lab practices.

Main Methods:

  • Applying human factors research principles to analyze common errors in scientific workflows.
  • Using examples of error occurrence to recommend detection and avoidance systems.

Main Results:

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  • Identification of common error types in scientific research, including transcription mistakes and coding errors.
  • Development of a discussion-based tutorial to prompt reflection on individual lab processes.

Conclusions:

  • Implementing a proactive approach to error management through workflow analysis and cultural adjustments can significantly reduce mistakes.
  • Lab groups can enhance research integrity by fostering a culture that prioritizes error detection and prevention.