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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.
Surveys02:16

Surveys

Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
Theory of Attribution II: Kelley's Covariation Theory01:29

Theory of Attribution II: Kelley's Covariation Theory

Attribution theory plays a crucial role in social psychology, helping to explain how individuals interpret the causes of behavior. One prominent model within this field is Harold Kelley's covariation theory, which provides a systematic approach to determining whether internal traits or external circumstances drive a person's actions. The model posits that individuals rely on three key types of information—consensus, consistency, and distinctiveness—to make these judgments.Consensus: Comparing...
Statistical Significance01:37

Statistical Significance

Once data is collected from both the experimental and the control groups, a statistical analysis is conducted to find out if there are meaningful differences between the two groups. A statistical analysis determines how likely any difference found is due to chance (and thus not meaningful). In psychology, group differences are considered meaningful, or significant, if the odds that these differences occurred by chance alone are 5 percent or less. Stated another way, if we repeated this...
Case Studies01:22

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One-Way ANOVA: Equal Sample Sizes01:15

One-Way ANOVA: Equal Sample Sizes

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Related Experiment Video

Updated: Jun 20, 2026

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience
10:17

Improving Student Outcomes with an Adaptable Molecular Cloning Course-Based Undergraduate Research Experience

Published on: November 15, 2024

Does performance invalidity undermine replication? Evidence from an undergraduate student participant sample.

Melanie A Mascarenhas1, Konstantine K Zakzanis1,2

  • 1Graduate Department of Psychological Clinical Science, University of Toronto Scarborough, Toronto, Ontario, Canada.

Archives of Clinical Neuropsychology : the Official Journal of the National Academy of Neuropsychologists
|June 18, 2026
PubMed
Summary

Performance invalidity, identified by Performance Validity Tests (PVTs), affects undergraduate research data quality. Incorporating PVTs enhances research transparency and reproducibility in psychological science.

Keywords:
performance invalidityperformance validity testsreplicationreplication crisisundergraduate research participants

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07:32

Use of Galvanic Skin Responses, Salivary Biomarkers, and Self-reports to Assess Undergraduate Student Performance During a Laboratory Exam Activity

Published on: February 10, 2016

Area of Science:

  • Psychological Science
  • Neuropsychology
  • Research Methodology

Background:

  • Performance invalidity is a known issue in clinical and forensic neuropsychology.
  • Its impact on psychological research data quality, especially with undergraduate participants, is understudied.
  • This raises concerns for the reproducibility of research findings.

Purpose of the Study:

  • To investigate if Performance Validity Tests (PVTs) can practically improve data quality in psychological research.
  • To assess the influence of performance invalidity on study outcomes in a research setting.
  • To explore the utility of established neuropsychological tools in addressing reproducibility challenges.

Main Methods:

  • Performance Validity Tests (PVTs) were integrated into a direct replication of a 2008 prescribed optimism study.
  • 87 undergraduate students participated and were categorized as credible or non-credible based on PVT performance.
  • Analyses were conducted on the full sample and then repeated within these subgroups.

Main Results:

  • The replication was successful, with a large effect size (d=0.98).
  • 17.2% of participants failed at least one PVT, indicating performance invalidity.
  • Credible participants showed a larger effect size (d=1.02) than the full sample, while non-credible participants showed a smaller effect (d=0.87), with a reversal in secondary analyses.
  • Significant differences were found between credible and non-credible subgroups on the primary outcome, despite demographic and experimental equivalence.

Conclusions:

  • Performance invalidity is prevalent in undergraduate research samples and can significantly impact study results.
  • Integrating PVTs into research protocols is a practical and scalable method to enhance data quality and transparency.
  • Neuropsychology's established tools, like PVTs, can offer solutions to improve the reproducibility of psychological science.