Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Self-Report Tests of Personality01:22

Self-Report Tests of Personality

456
Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
456
Reliability and Validity01:29

Reliability and Validity

13.2K
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.
13.2K
Self-Discrepancy Theory02:45

Self-Discrepancy Theory

18.5K
One influential perspective on what motivates people's behavior is detailed in Tory Higgin's self-discrepancy theory (Higgins, 1987). He proposed that people hold disagreeing internal representations of themselves that lead to different emotional states.  
18.5K
Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test01:09

Statistical Methods to Analyze Parametric Data: Student t-Test and Goodness-of-Fit Test

1.8K
In parametric statistics, two fundamental tests stand out for their utility and wide application: the Student's t-test and goodness-of-fit tests. These tests provide researchers with a robust method for drawing insights from data, testing hypotheses, and making informed decisions based on their findings.
The Student's t-test is a statistical test that examines if there is a statistically significant difference between the means of two groups. This test is instrumental when dealing with...
1.8K
Comparing Experimental Results: Student's t-Test01:09

Comparing Experimental Results: Student's t-Test

2.1K
The t-test is a statistical method used to compare the sample mean with a population mean or compare two means from two data sets. The test statistic is calculated from the standard deviation, mean, and number of measurements in the data set at a selected confidence interval and then compared to a table of critical values at this confidence level. If the test statistic is smaller than the critical value, the null hypothesis is accepted. In this case, we state that the difference between the...
2.1K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

A causal framework for explaining effect heterogeneity in conceptual replications.

Psychological methods·2026
Same author

A Verification Report of Three Meta-Analyses in Transcranial Direct-Current Stimulation-Motor Learning Research.

The European journal of neuroscience·2026
Same author

Attributing individual-level causal effects using experimental and observational data: A primer.

Psychological methods·2026
Same author

Extending the Diffusion Model by a Process Accounting for the Persistence of Test Takers.

Psychometrika·2026
Same author

The InterModel Vigorish as a Lens for Understanding (and Quantifying) the Value of Item Response Models for Dichotomously Coded Items.

Psychometrika·2026
Same author

Accounting for Persistence in Tests with Linear Ballistic Accumulator Models.

Psychometrika·2025
Same journal

Data from CREP Replication of Does Money Buy Happiness, Diener et al. (2010).

Journal of open psychology data·2026
Same journal

Data from the Researcher Mental Health Observatory STAIRCASE Survey.

Journal of open psychology data·2026
Same journal

Data from Message Source Effects on Rejection and Costly Punishment of Criticism Across Cultures.

Journal of open psychology data·2025
Same journal

Data from the Effects of Congruent and Incongruent Perceptual Cues on Middle Schoolers' Mathematical Performance, Learning, and Retention Study.

Journal of open psychology data·2025
Same journal

Free Association Database for a 62-Word Dataset Including Emotion and Colour Terms in English, Estonian, French, German, Italian, Lithuanian, and Spanish: Data from 14 Countries.

Journal of open psychology data·2025
Same journal

Data From Early Childhood Educators' Work and Stress Study.

Journal of open psychology data·2025
See all related articles

Related Experiment Video

Updated: Sep 14, 2025

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory
07:59

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

8.1K

Data From a Validation Study of Two Psychometric Models on Test-taking Behavior.

Sören Much1,2, Augustin Mutak2, Steffi Pohl2

  • 1Martin-Luther-Universität Halle-Wittenberg, DE.

Journal of Open Psychology Data
|July 21, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a new dataset on psychometric models, including response data and test-taking behavior from 1244 participants. The data supports research into cognitive abilities and motivation during assessments.

Keywords:
persistencepsychometricsspeed-ability trade-offtest-taking behavior

More Related Videos

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

914
Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

4.1K

Related Experiment Videos

Last Updated: Sep 14, 2025

Using Practice Testing, Public Speaking, and Source Monitoring to Examine the Influences of Learning Strategies and Stress on Episodic Memory
07:59

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

8.1K
Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
09:00

Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education

Published on: August 16, 2024

914
Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities
10:26

Problem-Solving Before Instruction PS-I: A Protocol for Assessment and Intervention in Students with Different Abilities

Published on: September 11, 2021

4.1K

Area of Science:

  • Psychometrics
  • Cognitive Psychology
  • Behavioral Science

Background:

  • Understanding the intraindividual speed-ability relationship and persistence is crucial for accurate psychometric model validation.
  • Investigating test-taking behavior provides insights into cognitive processes during assessments.

Purpose of the Study:

  • To introduce a novel dataset for validating psychometric models of speed-ability and persistence.
  • To facilitate research on response processes and test-taking behavior.

Main Methods:

  • A dataset was collected from 1244 participants completing a matrix reasoning test under speeded and non-speeded conditions.
  • Data includes responses, response times, action sequences, and motivational measures.
  • Data collection was conducted online via Prolific.

Main Results:

  • The dataset comprises comprehensive response data and behavioral metrics from a large participant sample.
  • It includes measures of dispositional and current motivation, effort, and concentration.
  • The data is openly available for public use and further research.

Conclusions:

  • This dataset offers a valuable resource for advancing psychometric model development and validation.
  • It enables deeper investigation into the complex interplay of speed, ability, persistence, and motivation in cognitive testing.
  • Researchers can utilize this data to explore nuanced aspects of test-taking behavior.