Literature DB >> 34570554

Modeling individual differences in the timing of change onset and offset.

Daniel McNeish1, Daniel J Bauer2, Denis Dumas3, Douglas H Clements4, Jessica R Cohen2, Weili Lin5, Julie Sarama4, Margaret A Sheridan2.   

Abstract

Individual differences in the timing of developmental processes are often of interest in longitudinal studies, yet common statistical approaches to modeling change cannot directly estimate the timing of when change occurs. The time-to-criterion framework was recently developed to incorporate the timing of a prespecified criterion value; however, this framework has difficulty accommodating contexts where the criterion value differs across people or when the criterion value is not known a priori, such as when the interest is in individual differences in when change starts or stops. This article combines aspects of reparameterized quadratic models and multiphase models to provide information on the timing of change. We first consider the more common situation of modeling decelerating change to an offset point, defined as the point in time at which change ceases. For increasing trajectories, the offset occurs when the criterion attains its maximum ("inverted J-shaped" trajectories). For decreasing trajectories, offset instead occurs at the minimum. Our model allows for individual differences in both the timing of offset and ultimate level of the outcome. The same model, reparameterized slightly, captures accelerating change from a point of onset ("J-shaped" trajectories). We then extend the framework to accommodate "S-shaped" curves where both the onset and offset of change are within the observation window. We provide demonstrations that span neuroscience, educational psychology, developmental psychology, and cognitive science, illustrating the applicability of the modeling framework to a variety of research questions about individual differences in the timing of change. (PsycInfo Database Record (c) 2021 APA, all rights reserved).

Entities:  

Year:  2021        PMID: 34570554      PMCID: PMC8957627          DOI: 10.1037/met0000407

Source DB:  PubMed          Journal:  Psychol Methods        ISSN: 1082-989X


  43 in total

1.  Structured latent curve models for the study of change in multivariate repeated measures.

Authors:  Shelley A Blozis
Journal:  Psychol Methods       Date:  2004-09

2.  Longitudinal tobit regression: a new approach to analyze outcome variables with floor or ceiling effects.

Authors:  Jos Twisk; Frank Rijmen
Journal:  J Clin Epidemiol       Date:  2009-02-10       Impact factor: 6.437

3.  Tutorial in Biostatistics: Evaluating the impact of 'critical periods' in longitudinal studies of growth using piecewise mixed effects models.

Authors:  E N Naumova; A Must; N M Laird
Journal:  Int J Epidemiol       Date:  2001-12       Impact factor: 7.196

4.  Differentiating between mixed-effects and latent-curve approaches to growth modeling.

Authors:  Daniel McNeish; Tyler Matta
Journal:  Behav Res Methods       Date:  2018-08

5.  Concurrent overproduction of synapses in diverse regions of the primate cerebral cortex.

Authors:  P Rakic; J P Bourgeois; M F Eckenhoff; N Zecevic; P S Goldman-Rakic
Journal:  Science       Date:  1986-04-11       Impact factor: 47.728

6.  Non-linear Growth Models in Mplus and SAS.

Authors:  Kevin J Grimm; Nilam Ram
Journal:  Struct Equ Modeling       Date:  2009-10       Impact factor: 6.125

7.  Nonlinear growth curves in developmental research.

Authors:  Kevin J Grimm; Nilam Ram; Fumiaki Hamagami
Journal:  Child Dev       Date:  2011-08-08

8.  Investigating Ceiling Effects in Longitudinal Data Analysis.

Authors:  Lijuan Wang; Zhiyong Zhang; John J McArdle; Timothy A Salthouse
Journal:  Multivariate Behav Res       Date:  2009-07-01       Impact factor: 5.923

Review 9.  Variability in early communicative development.

Authors:  L Fenson; P S Dale; J S Reznick; E Bates; D J Thal; S J Pethick
Journal:  Monogr Soc Res Child Dev       Date:  1994

10.  Risky business: Correlation and causation in longitudinal studies of skill development.

Authors:  Drew H Bailey; Greg J Duncan; Tyler Watts; Doug H Clements; Julie Sarama
Journal:  Am Psychol       Date:  2018-01
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.