Literature DB >> 20157639

Investigation of Mediational Processes Using Parallel Process Latent Growth Curve Modeling.

Jeewon Cheong1, David P Mackinnon, Siek Toon Khoo.   

Abstract

This study investigated a method to evaluate mediational processes using latent growth curve modeling. The mediator and the outcome measured across multiple time points were viewed as 2 separate parallel processes. The mediational process was defined as the independent variable influencing the growth of the mediator, which, in turn, affected the growth of the outcome. To illustrate modeling procedures, empirical data from a longitudinal drug prevention program, Adolescents Training and Learning to Avoid Steroids, were used. The program effects on the growth of the mediator and the growth of the outcome were examined first in a 2-group structural equation model. The mediational process was then modeled and tested in a parallel process latent growth curve model by relating the prevention program condition, the growth rate factor of the mediator, and the growth rate factor of the outcome.

Entities:  

Year:  2003        PMID: 20157639      PMCID: PMC2821108          DOI: 10.1207/S15328007SEM1002_5

Source DB:  PubMed          Journal:  Struct Equ Modeling        ISSN: 1070-5511            Impact factor:   6.125


  16 in total

1.  The adolescents training and learning to avoid steroids program: preventing drug use and promoting health behaviors.

Authors:  L Goldberg; D P MacKinnon; D L Elliot; E L Moe; G Clarke; J Cheong
Journal:  Arch Pediatr Adolesc Med       Date:  2000-04

2.  Effects of the "Preparing for the Drug Free Years" curriculum on growth in alcohol use and risk for alcohol use in early adolescence.

Authors:  J Park; R Kosterman; J D Hawkins; K P Haggerty; T E Duncan; S C Duncan; R Spoth
Journal:  Prev Sci       Date:  2000-09

3.  Mediating mechanisms in a program to reduce intentions to use anabolic steroids and improve exercise self-efficacy and dietary behavior.

Authors:  D P MacKinnon; L Goldberg; G N Clarke; D L Elliot; J Cheong; A Lapin; E L Moe; J L Krull
Journal:  Prev Sci       Date:  2001-03

4.  Mediating mechanisms in a school-based drug prevention program: first-year effects of the Midwestern Prevention Project.

Authors:  D P MacKinnon; C A Johnson; M A Pentz; J H Dwyer; W B Hansen; B R Flay; E Y Wang
Journal:  Health Psychol       Date:  1991       Impact factor: 4.267

5.  Confidence Limits for the Indirect Effect: Distribution of the Product and Resampling Methods.

Authors:  David P Mackinnon; Chondra M Lockwood; Jason Williams
Journal:  Multivariate Behav Res       Date:  2004-01-01       Impact factor: 5.923

6.  Modeling prevention program effects on growth in substance use: analysis of five years of data from the Adolescent Alcohol Prevention Trial.

Authors:  B J Taylor; J W Graham; P Cumsille; W B Hansen
Journal:  Prev Sci       Date:  2000-12

7.  Comparing personal trajectories and drawing causal inferences from longitudinal data.

Authors:  S W Raudenbush
Journal:  Annu Rev Psychol       Date:  2001       Impact factor: 24.137

8.  Effects of a multidimensional anabolic steroid prevention intervention. The Adolescents Training and Learning to Avoid Steroids (ATLAS) Program.

Authors:  L Goldberg; D Elliot; G N Clarke; D P MacKinnon; E Moe; L Zoref; C Green; S L Wolf; E Greffrath; D J Miller; A Lapin
Journal:  JAMA       Date:  1996-11-20       Impact factor: 56.272

9.  Testing the generalizability of intervening mechanism theories: understanding the effects of adolescent drug use prevention interventions.

Authors:  S I Donaldson; J W Graham; W B Hansen
Journal:  J Behav Med       Date:  1994-04

Review 10.  The Health Belief Model: a decade later.

Authors:  N K Janz; M H Becker
Journal:  Health Educ Q       Date:  1984
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  136 in total

1.  Mediation designs for tobacco prevention research.

Authors:  David P MacKinnon; Marcia P Taborga; Antonio A Morgan-Lopez
Journal:  Drug Alcohol Depend       Date:  2002-11       Impact factor: 4.492

2.  Causal mediation analysis for longitudinal data with exogenous exposure.

Authors:  M-A C Bind; T J Vanderweele; B A Coull; J D Schwartz
Journal:  Biostatistics       Date:  2015-08-13       Impact factor: 5.899

3.  Drink refusal training as part of a combined behavioral intervention: effectiveness and mechanisms of change.

Authors:  Katie Witkiewitz; Dennis M Donovan; Bryan Hartzler
Journal:  J Consult Clin Psychol       Date:  2012-01-30

4.  Mediation analysis.

Authors:  David P MacKinnon; Amanda J Fairchild; Matthew S Fritz
Journal:  Annu Rev Psychol       Date:  2007       Impact factor: 24.137

5.  Evaluating mediators of the impact of the Linking the Interests of Families and Teachers (LIFT) multimodal preventive intervention on substance use initiation and growth across adolescence.

Authors:  David S DeGarmo; J Mark Eddy; John B Reid; Rebecca A Fetrow
Journal:  Prev Sci       Date:  2009-09

6.  School Climate as a Universal Intervention to Prevent Substance Use Initiation in Early Adolescence: A Longitudinal Study.

Authors:  Shay M Daily; Michael J Mann; Christa L Lilly; Thomas K Bias; Megan L Smith; Alfgeir L Kristjansson
Journal:  Health Educ Behav       Date:  2020-04-12

7.  Latent growth modeling with domain-specific outcomes comprised of mixed response types in intervention studies.

Authors:  Tiffany A Whittaker; Keenan A Pituch; Graham J McDougall
Journal:  J Consult Clin Psychol       Date:  2014-04-28

Review 8.  Evaluating mediation and moderation effects in school psychology: a presentation of methods and review of current practice.

Authors:  Amanda J Fairchild; Samuel D McQuillin
Journal:  J Sch Psychol       Date:  2010-02

9.  Reconceptualizing decisional balance in an adolescent sun protection intervention: mediating effects and theoretical interpretations.

Authors:  Marc A Adams; Gregory J Norman; Melbourne F Hovell; James F Sallis; Kevin Patrick
Journal:  Health Psychol       Date:  2009-03       Impact factor: 4.267

10.  Investigating the impact of the time interval selection on autoregressive mediation modeling: Result interpretations, effect reporting, and temporal designs.

Authors:  Lijuan Wang; Qian Zhang
Journal:  Psychol Methods       Date:  2019-09-23
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