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

Experimental Designs01:16

Experimental Designs

15.8K
An experimental design is a systematic process that allows researchers to evaluate the relationship between dependent and independent variables. There are three widely used types of experimental design - pre-experimental design, true experimental design, and quasi-experimental design. In pre-experimental design, the researcher compares the data before and after some interventions or treatments. The true-experimental design has more than one purposefully created group, a commonly measured...
15.8K
Statistical Package for the Social Sciences (SPSS)01:22

Statistical Package for the Social Sciences (SPSS)

646
The Statistical Package for the Social Sciences, or SPSS, is a data management and analysis software suite. Developed by SPSS Inc. in 1968 and acquired by IBM in 2009, this tool was initially designed for social science data analysis, evolving to serve a wider range of disciplines. It was later renamed to Statistical Product and Service Solutions.
SPSS streamlines the process from data preparation to analysis and reporting. It is characterized by its user-friendly interface, which conceals...
646
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

99
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
99
Behavioral Genetics and Its Designs01:23

Behavioral Genetics and Its Designs

614
Behavior genetics explores how genetic inheritance influences human behavior. It focuses on how genes, passed from parents to offspring, contribute to the development of behavioral traits and tendencies. This branch of genetics seeks to understand the complex interplay between inherited genetic factors and environmental influences in shaping our behaviors.
The primary methodologies used in behavior genetics include family studies, twin studies, and adoption studies, each providing unique...
614
Econometric Views (EViews)01:29

Econometric Views (EViews)

282
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
282
Introduction To Survival Analysis01:18

Introduction To Survival Analysis

428
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
428

You might also read

Related Articles

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

Sort by
Same author

Psychometric Properties of the Dutch Short Form of the Five-Factor Narcissism Inventory.

Personality and mental health·2026
Same author

Hughes-Stovin syndrome (HSS) preliminary diagnostic criteria: a paradigm shift in managing pulmonary vasculitis in HSS and Behçet's disease (BD). On behalf of the HSS International Study Group (HSSISG) : Reply on Tahir Saygın Öğüt and Veli Yazısız "Comments on the proposed diagnostic criteria for Hughes-Stovin syndrome: the role of Behçet syndrome" (CLRH-D-26-01350).

Clinical rheumatology·2026
Same author

Daily life after the death of a loved one: A systematic review of daily diary and ecological momentary assessment studies.

International journal of clinical and health psychology : IJCHP·2026
Same author

The unintended negative consequences of artificial intelligence use for psychologists.

Frontiers in psychology·2026
Same author

Hughes-Stovin syndrome (HSS) preliminary diagnostic criteria: a report by the HSS International Study Group (HSSISG).

Clinical rheumatology·2026
Same author

The Moderating Role of Psychological Well-Being in the Relation Between Stressful Life Events and Common Mental Disorders in the General Population.

Scandinavian journal of psychology·2025

Related Experiment Video

Updated: Oct 5, 2025

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

7.0K

Exploratory Structural Equation Modeling: Practical Guidelines and Tutorial With a Convenient Online Tool for Mplus.

Llewellyn E van Zyl1,2,3,4, Peter M Ten Klooster5

  • 1Department of Industrial Engineering, University of Eindhoven, Eindhoven, Netherlands.

Frontiers in Psychiatry
|January 24, 2022
PubMed
Summary
This summary is machine-generated.

Positive psychology assessment measures face criticism regarding validity and cultural bias. Exploratory Structural Equation Modeling (ESEM) offers a robust alternative for evaluating these instruments, enhancing scientific credibility.

Keywords:
exploratory structural equation modelingfactor analysismental health continuumpsychometricsstatistical tutorials

More Related Videos

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.4K
A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

5.1K

Related Experiment Videos

Last Updated: Oct 5, 2025

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

7.0K
Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
06:52

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills

Published on: September 17, 2019

6.4K
A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM
13:54

A Workflow for Lipid Nanoparticle LNP Formulation Optimization using Designed Mixture-Process Experiments and Self-Validated Ensemble Models SVEM

Published on: August 18, 2023

5.1K

Area of Science:

  • Psychology
  • Psychometrics

Background:

  • Positive psychology assessment measures (PPAMs) face criticism regarding inconsistent factor structures, questionable predictive validity, and cultural bias.
  • Researchers may prioritize data-model-fit over measurement quality, impacting the credibility of positive psychology.
  • Innovative validation approaches are needed to advance the science of positive psychology.

Purpose of the Study:

  • To provide a practical tutorial for novice researchers on estimating Exploratory Structural Equation Modeling (ESEM) using an online tool for Mplus.
  • To demonstrate the application of ESEM using the Mental Health Continuum-Short Form (MHC-SF) as an example.
  • To offer guidelines for estimating, comparing, reporting, and interpreting ESEM.

Main Methods:

  • Exploratory Structural Equation Modeling (ESEM) is presented as an alternative to traditional factor analyses.
  • A step-by-step tutorial using the De Beer and Van Zy ESEM syntax generator in Mplus is provided.
  • The Mental Health Continuum-Short Form (MHC-SF) is used as an illustrative example for ESEM application.

Main Results:

  • ESEM demonstrates significant value over traditional confirmatory factor analysis approaches.
  • A bifactor ESEM model provided a significantly better fit to the data compared to other theoretical models for the MHC-SF.
  • The study highlights the practical implications of ESEM for mental health measurement.

Conclusions:

  • ESEM offers a more robust approach to psychometric evaluation in positive psychology.
  • The findings support the utility of ESEM for improving the validity and credibility of PPAMs.
  • The tutorial facilitates the adoption of ESEM by novice researchers, advancing positive psychological science.