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Related Concept Videos

Understanding Deception01:14

Understanding Deception

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Deception is a pervasive aspect of human communication. Empirical studies have shown that most individuals engage in some form of deceit on a daily basis, with approximately 20% of social exchanges involving deceptive elements. Lying follows a developmental trajectory, peaking during adolescence and declining with age, possibly due to the maturation of cognitive control and social accountability.Cognitive and Social Factors in Deception DetectionDespite its prevalence, accurately detecting...
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Multiple Comparison Tests01:13

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Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
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Types of Errors: Detection and Minimization01:12

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Error is the deviation of the obtained result from the true, expected value or the estimated central value. Errors are expressed in absolute or relative terms.
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Detection of Gross Error: The Q Test01:00

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When one or more data points appear far from the rest of the data, there is a need to determine whether they are outliers and whether they should be eliminated from the data set to ensure an accurate representation of the measured value. In many cases, outliers arise from gross errors (or human errors) and do not accurately reflect the underlying phenomenon. In some cases, however, these apparent outliers reflect true phenomenological differences. In these cases, we can use statistical methods...
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A complete procedure to test a claim about population standard deviation or population variance is explained here.
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Null and Alternative Hypotheses01:16

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The actual hypothesis testing begins by considering two hypotheses. They are termed  the null hypothesis and the alternative hypothesis. These hypotheses contain opposing viewpoints.
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Related Experiment Video

Updated: Oct 19, 2025

An Experimental Analysis of Children's Ability to Provide a False Report about a Crime
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A within-statement baseline comparison for detecting lies.

Brianna L Verigin1,2, Ewout H Meijer1, Aldert Vrij2

  • 1Forensic Psychology Section, Faculty of Psychology and Neuroscience, Maastricht University, Maastricht, Netherlands.

Psychiatry, Psychology, and Law : an Interdisciplinary Journal of the Australian and New Zealand Association of Psychiatry, Psychology and Law
|September 23, 2021
PubMed
Summary

Using a truthful baseline within a statement did not improve lie detection accuracy. This study found no enhancement in credibility assessments when participants compared deceptive elements to truthful parts of the same statement.

Keywords:
baseline techniquecomparable truthdeception detectioninterviewing techniquesveracity assessmentwithin-statement comparisonwithin-subjects lie detection

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Area of Science:

  • Psychology
  • Forensic Science

Background:

  • Practitioners often use baselining, comparing a statement to a known truthful one, to judge veracity.
  • The effectiveness of within-statement verbal baselining for enhancing accuracy in veracity judgments is not well understood.

Purpose of the Study:

  • To investigate if a within-statement verbal baseline comparison enhances discriminatory accuracy in veracity judgments.
  • To determine if instructing participants to use surrounding truthful elements as a baseline improves credibility assessments.

Main Methods:

  • Participants (n=148) evaluated the veracity of a critical two-hour period within a mock suspect's alibi statement.
  • The critical element was either truthful or deceptive, embedded within an otherwise truthful narrative.
  • Half the participants received instructions to use the truthful parts of the statement as an internal baseline.

Main Results:

  • Instructing participants to make a within-statement baseline comparison did not significantly improve the accuracy of credibility assessments.
  • The use of internal verbal baselines did not enhance the ability to discriminate between truthful and deceptive statements.

Conclusions:

  • Within-statement verbal baselining is not an effective strategy for improving veracity judgments.
  • Future research should explore alternative methods for enhancing accuracy in credibility assessments.