Related Experiment Video
Updated: Oct 19, 2025

Measuring Delay Discounting in Humans Using an Adjusting Amount Task
Published on: January 9, 2016
Modeling individual differences in the timing of change onset and offset
Daniel McNeish1, Daniel J Bauer2, Denis Dumas3
1Department of Psychology, Arizona State University.
This study introduces a new statistical model to precisely estimate when developmental changes begin and end. This approach enhances longitudinal studies by capturing individual differences in the timing of change across various scientific fields.
Area of Science:
- Multidisciplinary research
- Longitudinal data analysis
- Developmental psychology
Background:
- Longitudinal studies often examine individual differences in developmental timing.
- Existing statistical models struggle to directly estimate the timing of developmental changes.
- The time-to-criterion framework has limitations when criterion values vary or are unknown.
Purpose of the Study:
- To develop a flexible statistical framework for modeling individual differences in the timing of developmental change.
- To extend existing models to accommodate onset, offset, and S-shaped trajectories.
- To provide a method for analyzing when developmental processes start, stop, or change pace.
Main Methods:
- Combines reparameterized quadratic and multiphase models.
- Models decelerating change to an offset point (maximum or minimum).
- Models accelerating change from an onset point and S-shaped curves with both onset and offset.
Main Results:
- The proposed model allows for individual differences in the timing of change (onset and offset) and ultimate outcome levels.
- Demonstrates applicability to inverted J-shaped, J-shaped, and S-shaped trajectories.
- Successfully applied across neuroscience, educational psychology, developmental psychology, and cognitive science.
Conclusions:
- The developed modeling framework accurately captures individual differences in the timing of developmental change.
- This approach offers a significant advancement for analyzing complex developmental trajectories in longitudinal research.
- The model's flexibility makes it broadly applicable to diverse scientific domains investigating change over time.
More Related Videos
09:01A Method for Investigating Age-related Differences in the Functional Connectivity of Cognitive Control Networks Associated with Dimensional Change Card Sort Performance
Published on: May 7, 2014
10:46A Method of Trigonometric Modelling of Seasonal Variation Demonstrated with Multiple Sclerosis Relapse Data
Published on: December 9, 2015
Related Concept Videos
Modeling in Therapy
Participant Modeling
Participant modeling involves therapists demonstrating calm and effective behaviors in...
Longitudinal Research
Timing and Consequences on Behavior
Humans, however, can respond to delayed reinforcers. We often make decisions between immediate small rewards and delayed larger rewards. This ability to delay gratification is a significant...
Hindsight Biases
Regression Toward the Mean
Chronopharmacokinetics: Time-Dependent Pharmacokinetics
Time-dependent pharmacokinetics refers to non-cyclical changes in drug rate processes over a period of time. It can lead to nonlinear pharmacokinetics, where the relationship between drug concentration and time is not proportional. Non-cyclical...