The purpose of this competing continuation grant proposal is to continue developing and evaluating methodological and statistical procedures to determine how prevention programs change outcome variables. These mediation analyses assess the link between program effects on the constructs targeted by a prevention program and effects on the outcome. As noted by many researchers, mediation analyses identify the most effective program components and increase understanding of the underlying processes leading to changing outcome variables. The need for these new procedures became apparent in the analyses of several NIDA funded drug prevention programs. The Principal Investigator of this grant received a one-year NIDA funded small grant to study the assessment of mediation effects and a four-year grant to develop and evaluate methods and statistical procedures for the types of designs and procedures commonly used in prevention research. The proposed four-year continuation study will examine three statistical topics that represent the next steps in this research. Each statistical study includes analytical and simulation research as well as applications to actual etiological and prevention data. In Study 1, significance testing using resampling methods and methods based on the distribution of the product of two random variables will be developed and evaluated. New tests for mediation will also be evaluated in this study. Study 2 will investigate mediation models for program effects that differ by subgroups of participants. One of these models is the mediated baseline by treatment moderator model where program effects depend on baseline levels of a mediating variable. Study 3 will continue the development and evaluation of mediation methods in latent growth curve modeling including models identifying groups or classes of study participants with different trajectories of change over time. In Study 4, the statistical methods will be applied in several NIH funded prevention data sets providing important feedback about the usefulness of the models. Study 5 will disseminate new information about mediation analysis including the development of a mediation analysis working group and additions to our mediation analysis website.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
5R01DA009757-07
Application #
6919964
Study Section
Social Sciences, Nursing, Epidemiology and Methods 4 (SNEM)
Program Officer
Ginexi, Elizabeth M
Project Start
1996-07-01
Project End
2007-07-31
Budget Start
2005-08-01
Budget End
2006-07-31
Support Year
7
Fiscal Year
2005
Total Cost
$224,250
Indirect Cost
Name
Arizona State University-Tempe Campus
Department
Psychology
Type
Schools of Arts and Sciences
DUNS #
943360412
City
Tempe
State
AZ
Country
United States
Zip Code
85287
Mio?evi?, Milica; O'Rourke, Holly P; MacKinnon, David P et al. (2018) Statistical properties of four effect-size measures for mediation models. Behav Res Methods 50:285-301
Goldsmith, Kimberley A; MacKinnon, David P; Chalder, Trudie et al. (2018) Tutorial: The practical application of longitudinal structural equation mediation models in clinical trials. Psychol Methods 23:191-207
Gonzalez, Oscar; MacKinnon, David P (2018) A Bifactor Approach to Model Multifaceted Constructs in Statistical Mediation Analysis. Educ Psychol Meas 78:5-31
Hill, Melanie; Sternberg, Ariel; Suk, Hye Won et al. (2018) The intergenerational transmission of cannabis use: Associations between parental history of cannabis use and cannabis use disorder, low positive parenting, and offspring cannabis use. Psychol Addict Behav 32:93-103
Olivera-Aguilar, Margarita; Rikoon, Samuel H; Gonzalez, Oscar et al. (2018) Bias, Type I Error Rates, and Statistical Power of a Latent Mediation Model in the Presence of Violations of Invariance. Educ Psychol Meas 78:460-481
Halliburton, Amanda E; Fritz, Matthew S (2018) Health beliefs as a key determinant of intent to use anabolic-androgenic steroids (AAS) among high-school football players: implications for prevention. Int J Adolesc Youth 23:269-280
O'Rourke, Holly P; MacKinnon, David P (2018) Reasons for Testing Mediation in the Absence of an Intervention Effect: A Research Imperative in Prevention and Intervention Research. J Stud Alcohol Drugs 79:171-181
Suk, Hye Won; Hwang, Heungsun (2016) Functional Generalized Structured Component Analysis. Psychometrika 81:940-968
Elliot, Diane L; Goldberg, Linn; MacKinnon, David P et al. (2016) Empiric validation of a process for behavior change. Transl Behav Med 6:449-56
Valente, Matthew J; Gonzalez, Oscar; Mio?evi?, Milica et al. (2016) A Note on Testing Mediated Effects in Structural Equation Models: Reconciling Past and Current Research on the Performance of the Test of Joint Significance. Educ Psychol Meas 76:889-911

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