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

310
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.
310
Measures of Intelligence01:29

Measures of Intelligence

6.6K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
6.6K
Triarchic Theory of Intelligence01:24

Triarchic Theory of Intelligence

7.2K
Robert Sternberg's triarchic theory of intelligence posits that intelligence is composed of three distinct but interrelated components: analytical, creative, and practical intelligence.
7.2K
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

150
Friedman's Two-Way Analysis of Variance by Ranks is a nonparametric test designed to identify differences across multiple test attempts when traditional assumptions of normality and equal variances do not apply. Unlike conventional ANOVA, which requires normally distributed data with equal variances, Friedman's test is ideal for ordinal or non-normally distributed data, making it particularly useful for analyzing dependent samples, such as matched subjects over time or repeated measures...
150
Creative Thinking01:25

Creative Thinking

469
Creative thinking encompasses innovative and unconventional methods for addressing challenges, often leading to groundbreaking solutions. Instead of focusing solely on enhancing existing systems, such as increasing smartphone battery capacity, creative thinking might inspire advancements like energy-efficient batteries or processors that minimize power consumption. This multidimensional approach underscores the importance of exploring novel pathways to innovation.
Divergent thinking is the...
469
Multiple Intelligences Theory01:20

Multiple Intelligences Theory

6.9K
Howard Gardner's theory of Multiple Intelligence proposes that there are nine distinct types of intelligence, each reflecting different ways of interacting with the world. Introduced in 1983 and expanded in subsequent years, Gardner's framework challenges the traditional notion of a single, generalized intelligence.
6.9K

You might also read

Related Articles

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

Sort by
Same author

Automatic Item Generation Measurement Models Respecting the Stochastic Sampling Space for Cross-Classified and Two-Level Sampling of Subjects and Incidentals.

Applied psychological measurement·2026
Same author

Latent Reciprocal Engagement and Accuracy Variables in Social Relations Structural Equation Modeling.

Multivariate behavioral research·2024
Same author

A correlated traits correlated (methods - 1) multitrait-multimethod model for augmented round-robin data.

The British journal of mathematical and statistical psychology·2023
Same author

Recall bias of students' affective experiences in adolescence: The role of personality and internalizing behavior.

Journal of adolescence·2023
Same author

Estimating and investigating multiple constructs multiple indicators social relations models with and without roles within the traditional structural equation modeling framework: A tutorial.

Psychological methods·2022
Same author

Rosy or blue? Change in recall bias of students' affective experiences during early adolescence.

Emotion (Washington, D.C.)·2021

Related Experiment Video

Updated: Jun 9, 2025

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

3.9K

Decomposing the True Score Variance in Rated Responses to Divergent Thinking-Tasks for Assessing Creativity: A

David Jendryczko1

  • 1Department for Methods for Intensive Data in Psychology, University of Konstanz, 78464 Konstanz, Germany.

Journal of Intelligence
|October 25, 2024
PubMed
Summary

This study introduces a new model for analyzing divergent thinking (DT) tasks, revealing high correlations between creativity traits but low consistency across different DT measures. This suggests more variation exists between measurement tools than within creativity aspects.

Keywords:
CTC (M − 1)alternate uses taskconfirmatory factor analysiscreativitycross-classified datadivergent thinkingmultitrait–multimethod

More Related Videos

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

5.8K
Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
07:43

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

1.9K

Related Experiment Videos

Last Updated: Jun 9, 2025

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

3.9K
The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

5.8K
Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios
07:43

Author Spotlight: A Novel Setup to Conduct Naturalistic Laboratory Experiments with Real Human Actors in Scenarios

Published on: August 4, 2023

1.9K

Area of Science:

  • Psychology
  • Psychometrics
  • Cognitive Science

Background:

  • Divergent thinking (DT) tasks are crucial for assessing creativity.
  • Previous analyses often overlook the complex data structure arising from multiple raters and DT tasks.
  • Confirmatory Factor Analysis (CFA) approaches have limitations in handling cross-classified data.

Purpose of the Study:

  • To adapt and apply the Correlated Traits Correlated Methods Minus One (CTC(M-1)) Multitrait-Multimethod model for cross-classified data to analyze DT-task responses.
  • To explicitly account for the cross-classified data structure inherent in rater-based scoring of DT tasks.
  • To decompose true score variance into target-specific, task-specific, rater-specific, and interaction-specific components.

Main Methods:

  • Modification and application of the CTC(M-1) Multitrait-Multimethod model for cross-classified data.
  • Decomposition of true score variance into multiple components (target, task, rater, interaction).
  • Estimation of measurement error-free variance parameters using Bayesian statistics and comparison with maximum likelihood methods.

Main Results:

  • The adapted CTC(M-1) model successfully accounts for the cross-classified structure in DT-task responses.
  • High trait-correlations were observed, indicating strong relationships between different creativity aspects.
  • Low consistency across different DT measures suggests significant heterogeneity among the measurement instruments used.

Conclusions:

  • The study provides a robust statistical framework for analyzing complex DT-task data, offering nuanced insights into creativity measurement.
  • Findings highlight the importance of considering measurement instrument variability in creativity research.
  • The model offers valuable parameters for understanding trait consistency, method specificity, and rater effects in creativity assessment.