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

Factorial Design02:01

Factorial Design

15.4K
Factorial Analysis is an experimental design that applies Analysis of Variance (ANOVA) statistical procedures to examine a change in a dependent variable due to more than one independent variable, also known as factors. Changes in worker productivity can be reasoned, for example, to be influenced by salary and other conditions, such as skill level. One way to test this hypothesis is by categorizing salary into three levels (low, moderate, and high) and skills sets into two levels (entry level...
15.4K
Cattell's 16 Personality Factors01:24

Cattell's 16 Personality Factors

3.1K
Raymond Cattell's trait theory offers a structured framework for understanding personality by distinguishing between two critical traits: surface and source traits. Surface traits are observable patterns of behavior, such as indecisiveness, anxiety, and irrational fears. These traits are less stable, varying across situations and over time. This means that they are less helpful in understanding the deeper aspects of an individual's personality.
In contrast, source traits are the...
3.1K
Self-Report Tests of Personality01:22

Self-Report Tests of Personality

1.1K
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.
1.1K
Two-Way ANOVA01:17

Two-Way ANOVA

3.6K
The two-way ANOVA is an extension of the one-way ANOVA. It is a statistical test performed on three or more samples categorized by two factors - a row factor and a column factor. Ronald Fischer mentioned it in 1925 in his book 'Statistical Methods for Researchers.'
The two-way ANOVA analysis initially begins by stating the null hypothesis that there is an interaction effect between the two factors of a dataset. This effect can be visualized using line segments formed by joining the...
3.6K
Five-Factor Theory of Personality01:29

Five-Factor Theory of Personality

2.3K
The five-factor model, often called the Big Five personality traits, is widely accepted in psychology as a comprehensive framework for understanding personality. These five traits — Openness, Conscientiousness, Extraversion, Agreeableness, and Neuroticism — are often remembered using the acronym OCEAN.
Openness reflects creativity, curiosity, and openness to new experiences. Individuals scoring high in openness are imaginative, have a wide range of interests, and are independent...
2.3K
Friedman Two-way Analysis of Variance by Ranks01:21

Friedman Two-way Analysis of Variance by Ranks

561
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...
561

You might also read

Related Articles

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

Sort by
Same author

Racism in the science and practice of psychotherapy.

Current opinion in psychology·2026
Same author

The Aggregated Latent Profile Index: Measuring Person Profile Differentiation Within a Bootstrap-Validated Latent Profile Space.

Educational and psychological measurement·2026
Same author

Contributing factors of contralateral breast cancer in patients with BRCA mutation (ON-BRCA II study, KoREa-BSG 11).

Breast cancer research : BCR·2026
Same author

A Multidimensional Model to Facilitate Within Person Comparison of Attributes.

Psychometrika·2026
Same author

Clinical Correlates of Anxiety and Depression After Diagnosis of a Pediatric Brain Tumor.

Pediatric blood & cancer·2025
Same author

Design of the type 1 diabetes and life (T1DAL) pilot and feasibility study: A brief telehealth intervention targeting health-related quality of life across clinical settings.

Contemporary clinical trials communications·2025

Related Experiment Video

Updated: Mar 26, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

7.3K

Confirmatory Factor Analysis and Profile Analysis via Multidimensional Scaling.

Se-Kang Kim1, Mark L Davison2, Craig L Frisby3

  • 1a Fordham University , Bronx.

Multivariate Behavioral Research
|January 29, 2016
PubMed
Summary
This summary is machine-generated.

This study validates profile pattern hypotheses using Confirmatory Factor Analysis (CFA) applied to the Profile Analysis via Multidimensional Scaling (PAMS) model. CFA confirms exploratory PAMS findings, demonstrating its utility in psychometric analysis.

More Related Videos

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

1.3K
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

1.3K

Related Experiment Videos

Last Updated: Mar 26, 2026

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits
08:27

Applying an eMASS Customization Program as a Research Tool to Evaluate Consumer Benefits

Published on: September 27, 2019

7.3K
Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

1.3K
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

1.3K

Area of Science:

  • Psychometrics
  • Quantitative Psychology
  • Statistical Modeling

Background:

  • Profile Analysis via Multidimensional Scaling (PAMS) is an exploratory method for identifying major profiles in test batteries.
  • PAMS represents individuals' scores as linear combinations of typical profile patterns (dimensions) derived from Multidimensional Scaling (MDS).
  • Confirmatory Factor Analysis (CFA) is typically used to verify findings from exploratory factor analysis.

Purpose of the Study:

  • To describe the Confirmatory Factor Analysis (CFA) parameterization of the Profile Analysis via Multidimensional Scaling (PAMS) model.
  • To demonstrate the validation of profile pattern hypotheses derived from Multidimensional Scaling (MDS) using CFA.
  • To establish the connection between factor models and the PAMS model for confirmatory purposes.

Main Methods:

  • Applying Confirmatory Factor Analysis (CFA) to the Profile Analysis via Multidimensional Scaling (PAMS) model.
  • Utilizing both simulated and real data examples to illustrate the CFA parameterization.
  • Employing fit indices to evaluate the confirmatory approach for PAMS results.

Main Results:

  • The study illustrates how CFA can be used to confirm PAMS-derived profile pattern hypotheses.
  • Both simulated and real-world examples demonstrate the successful application of CFA for PAMS validation.
  • Fit indices indicate the effectiveness of the CFA reparameterization for confirming PAMS exploratory findings.

Conclusions:

  • Confirmatory Factor Analysis (CFA) provides a robust method for validating profile patterns identified through exploratory Profile Analysis via Multidimensional Scaling (PAMS).
  • The CFA parameterization of PAMS allows for hypothesis testing of major profile patterns in new samples.
  • This approach bridges exploratory and confirmatory methodologies in psychometric research, enhancing the reliability of profile analysis.