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

Group Design02:01

Group Design

9.7K
The most basic experimental design involves two groups: the experimental group and the control group. The two groups are designed to be the same except for one difference— experimental manipulation. The experimental group gets the experimental manipulation—that is, the treatment or variable being tested—and the control group does not. Since experimental manipulation is the only difference between the experimental and control groups, we can be sure that any differences between...
9.7K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

89
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...
89
Impact of Individuals on Individuals01:30

Impact of Individuals on Individuals

17
Human behavior is intricately shaped by social influences that arise from interactions with others in diverse contexts. These influences not only mold beliefs and attitudes but also drive the regulation of behaviors through both direct communication and observational learning. The study of these processes falls within the domain of social psychology, which seeks to understand how individuals are affected by and affect those around them.Mechanisms of Social InfluenceDirect social influence...
17
Longitudinal Studies01:26

Longitudinal Studies

264
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
264
Actor-Observer Effect01:23

Actor-Observer Effect

9
The actor-observer effect, a cognitive bias closely linked to the fundamental attribution error, refers to the tendency for individuals to attribute their behavior to external, situational factors while explaining others’ behavior in terms of internal, dispositional traits. This asymmetry in attribution significantly influences social perception and judgment.Cognitive Mechanisms Behind the EffectTwo primary psychological mechanisms contribute to the actor-observer effect: differences in...
9
Framing Effects03:26

Framing Effects

7.5K
Information is everywhere and its presentation—such as how and when items are presented—can impact our perceptions and decisions surrounding the info. This broad concept umbrellas framing effects—influences that occur due to the way information is framed in its appearance, whether it’s purely the order or the specific wording of a message. Let’s take a look at numerous ways in which two versions of something can objectively say the same thing, yet we respond in...
7.5K

You might also read

Related Articles

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

Sort by
Same author

Affective reactivity to upward social comparisons rather than social media use predicts increases in early adolescents' depressive symptoms.

Scientific reports·2026
Same author

From traits to trajectories: How changes in reactive temperament relate to the development of externalizing symptoms.

Development and psychopathology·2026
Same author

What happens at night? Differentiating within-day and overnight affective inertia.

Cognition & emotion·2025
Same author

Impact of a Momentary Mindfulness Intervention on Rumination, Negative Affect, and their Dynamics in Daily Life.

Affective science·2025
Same author

We are talking about WM as a broad ability factor! Comment on Burgoyne, Frank, and Macnamara (2024).

Psychonomic bulletin & review·2025
Same author

The Positive Effect of pro-Environmental Behavior on Eudaimonic Well-Being in Young Adults: A Daily Diary Study Using the Within-Person Encouragement Design.

Journal of personality·2025
Same journal

Bayesian evaluation for latent variable models: A tutorial on computing information criteria and bayes factors with the r package bleval.

Psychological methods·2026
Same journal

A stochastic block prior for clustering in graphical models.

Psychological methods·2026
Same journal

Three-level vector autoregressive models.

Psychological methods·2026
Same journal

Scaling cognitive modeling to big data: A deep learning approach to studying individual differences in evidence accumulation model parameters.

Psychological methods·2026
Same journal

Best practices in multilevel modeling for within-cluster group comparisons: An evaluation of coding strategies reflecting group composition and heterogeneity.

Psychological methods·2026
Same journal

A unified framework for psychometrics in experimental psychology: The standardized generalized hierarchical factor model.

Psychological methods·2026
See all related articles

Related Experiment Video

Updated: Sep 26, 2025

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

How within-person effects shape between-person differences: A multilevel structural equation modeling perspective.

Andreas B Neubauer1, Annette Brose2, Florian Schmiedek1

  • 1Department of Education and Human Development, DIPF-Leibniz Institute for Research and Information in Education.

Psychological Methods
|April 21, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a new multilevel model to better understand how daily experiences influence long-term outcomes. The findings suggest that individual differences in daily experiences significantly predict future changes in outcomes like depressive symptoms.

More Related Videos

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
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K

Related Experiment Videos

Last Updated: Sep 26, 2025

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
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
Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.4K

Area of Science:

  • Psychology
  • Statistics
  • Longitudinal Research

Background:

  • Theoretical accounts emphasize within-person effects of daily experiences for understanding between-person differences.
  • Traditional multilevel mediation models may not fully capture how within-person effects shape long-term outcomes.
  • Existing models often assume within-person effects directly predict outcomes, overlooking their role in shaping between-person differences.

Purpose of the Study:

  • To propose and validate a multilevel structural equation model that better aligns with theories suggesting within-person effects shape between-person differences.
  • To investigate how between-person differences in the strength of within-person effects predict outcomes, mediated by average levels of a mediator.
  • To examine the longitudinal relationship between daily stressors, negative affect, and changes in depressive symptoms.

Main Methods:

  • Development of a novel multilevel structural equation model.
  • Utilizing simulated data to assess the recovery of model parameters across various scenarios.
  • Application of the proposed model to empirical data on daily stressors, negative affect, and depressive symptoms.

Main Results:

  • The proposed multilevel structural equation model successfully recovered central parameters in most simulated scenarios.
  • The model demonstrates that between-person differences in within-person effects can predict long-term outcomes.
  • Empirical data supported the hypothesis that the within-person association between daily stressors and negative affect predicts changes in depressive symptoms.

Conclusions:

  • The proposed model offers a more theoretically aligned approach to understanding how within-person processes influence between-person differences.
  • Findings have significant implications for controlling mean levels in multilevel models examining within-person effects.
  • The approach provides a valuable framework for analyzing longitudinal data in psychology, intervention studies, and other multilevel research designs.