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

Response Surface Methodology01:16

Response Surface Methodology

514
Response Surface Methodology (RSM) is a collection of statistical and mathematical techniques used to develop, improve, and optimize processes. It is particularly valuable when many input variables or factors potentially influence a response variable.
The process of RSM involves several key steps:
514
One-Way ANOVA: Equal Sample Sizes01:15

One-Way ANOVA: Equal Sample Sizes

3.9K
One-Way ANOVA can be performed on three or more samples with equal or unequal sample sizes. When one-way ANOVA is performed on two datasets with samples of equal sizes, it can be easily observed that the computed F statistic is highly sensitive to the sample mean.
Different sample means can result in different values for the variance estimate: variance between samples. This is because the variance between samples is calculated as the product of the sample size and the variance between the...
3.9K
One-Way ANOVA: Unequal Sample Sizes01:15

One-Way ANOVA: Unequal Sample Sizes

6.5K
One-way ANOVA can be performed on three or more samples of unequal sizes. However, calculations get complicated when sample sizes are not always the same. So, while performing ANOVA with unequal samples size, the following equation is used:
6.5K
Cluster Sampling Method01:20

Cluster Sampling Method

13.8K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
13.8K
Wilcoxon Signed-Ranks Test for Matched Pairs01:09

Wilcoxon Signed-Ranks Test for Matched Pairs

392
The Wilcoxon signed-rank test for matched pairs evaluates the null hypothesis by combining the ranks of differences with their signs. It essentially tests whether the median of the differences in a population of matched pairs is zero. Since the test incorporates more information than the sign test, it generally yields more trustable conclusions. This test also does not require the data to follow a normal distribution, but two conditions must be met for it to be applicable: (1) the data must...
392
Heuristics01:21

Heuristics

563
Heuristics are problem-solving strategies that use mental shortcuts to simplify decision-making. Unlike algorithms, which must be followed precisely to achieve a correct result, heuristics offer a general problem-solving framework. They save time and energy but can sometimes lead to less rational decisions.
People often rely on heuristics when faced with an overload of information, limited time, low importance of the decision, limited information, or when a heuristic readily comes to mind. For...
563

You might also read

Related Articles

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

Sort by
Same author

Exploring individual differences in volitional personality state and trait change: The role of motivation and engagement during a 12-week intervention.

European journal of personality·2026
Same author

Personality change through a digital-coaching intervention: Using measurement invariance testing to distinguish between trait domain, facet, and nuance change.

European journal of personality·2026
Same author

Grandchild contact and grandparents' positive and negative emotions in daily life: an analysis using self-report and language use data.

The journals of gerontology. Series B, Psychological sciences and social sciences·2026
Same author

Grandparents' cognition and caregiving for grandchildren: Frequency, type, and variety of activities.

Psychology and aging·2026
Same author

Forgivingness Across Social Relationships and Family Generations Over Time.

Journal of personality·2026
Same author

Is There a Link Between Older Adults' Frequency of (Face-to-Face and Remote) Contact With Grandchildren and Cognitive Functioning Over 12 Years?

The journals of gerontology. Series B, Psychological sciences and social sciences·2024
Same journal

Modeling Individual Language Patterns and Psychological Constructs to Generate AI-Augmented Data for Scalable Psychological Assessment.

Assessment·2026
Same journal

The Psychometric Properties of the Perth Emotion Regulation Competency Inventory (PERCI) in Sexual and Gender Minority Adults: Minority Stress and Resilience Correlates of Positive and Negative Emotion Regulation Difficulties.

Assessment·2026
Same journal

Future Orientation Scale: A Psychometric Evaluation Across Health-Vulnerable Samples.

Assessment·2026
Same journal

Spurious Reliability Increase?: The Number of Response Options in the Likert-Type Scale Influences Only Internal Consistency, Not Criterion Validity.

Assessment·2026
Same journal

Measuring Moral Injury Outcome and Distress in High-Risk Populations in Germany: A Validation Study.

Assessment·2026
Same journal

Establishing Psychometric Validity of the PBSS-20 for Sexual Minority College Students.

Assessment·2026
See all related articles

Related Experiment Video

Updated: Dec 21, 2025

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

6.2K

Developing Cross-Cultural Short Scales Using Ant Colony Optimization.

Gabriel Olaru1, Daniel Danner2

  • 1University of Kassel, Kassel, Germany.

Assessment
|May 19, 2020
PubMed
Summary
This summary is machine-generated.

Ant colony optimization (ACO) effectively develops short personality scales for cross-cultural surveys by optimizing model properties. This metaheuristic approach enhances scale fit and cross-cultural measurement invariance compared to traditional methods.

Keywords:
Big Five Inventory–2ant colony optimizationcross-culturalexploratory structural equation modelingitem selectionpersonalityshort scale

More Related Videos

Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling
06:04

Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling

Published on: January 17, 2025

1.2K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.3K

Related Experiment Videos

Last Updated: Dec 21, 2025

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

6.2K
Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling
06:04

Functional Near-Infrared Spectroscopy Hyperscanning Study in Psychological Counseling

Published on: January 17, 2025

1.2K
Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm
11:53

Spatial Multiobjective Optimization of Agricultural Conservation Practices using a SWAT Model and an Evolutionary Algorithm

Published on: December 9, 2012

13.3K

Area of Science:

  • Psychological Measurement
  • Computational Social Science

Background:

  • Developing concise scales for cross-cultural research is challenging.
  • Traditional item selection relies on expert judgment and item-level statistics.
  • Metaheuristic algorithms offer novel approaches to scale development.

Purpose of the Study:

  • To demonstrate the utility of ant colony optimization (ACO) for creating short, psychometrically sound scales for cross-cultural surveys.
  • To optimize model fit, measurement invariance, reliability, construct coverage, and validity in scale development.

Main Methods:

  • Applied ant colony optimization (ACO), a metaheuristic algorithm, to select items for a short scale.
  • Utilized a large cross-cultural dataset (N=5,567) from five countries.
  • Employed exploratory structural equation modeling (ESEM) to evaluate psychometric properties.

Main Results:

  • Developed a 15-item short form of the Big Five Inventory-2 using ACO.
  • The ACO-derived short scale demonstrated superior model fit and measurement invariance across countries compared to a traditionally developed short scale.
  • Both short scales retained construct coverage and criterion-related validity of the full scale.

Conclusions:

  • Ant colony optimization (ACO) is a valuable tool for developing short scales suitable for cross-cultural personality assessment.
  • ACO-based item selection enhances psychometric properties like model fit and cross-cultural invariance.
  • This method facilitates more robust cross-cultural comparisons in personality research.