Ausgabe 8/2023
Special Issue: Innovations and Applications of Integrative Data Analysis (IDA) and Related Data Harmonization Procedures in Prevention Science
Inhalt (21 Artikel)
Introduction to the Special Issue on Innovations and Applications of Integrative Data Analysis (IDA) and Related Data Harmonization Procedures in Prevention Science
Antonio A. Morgan-López, Catherine P. Bradshaw, Rashelle J. Musci
What Works for Whom in School-Based Anti-bullying Interventions? An Individual Participant Data Meta-analysis
Maud Hensums, Brechtje de Mooij, Steven C. Kuijper, Donna Cross, Ann DeSmet, Claire F. Garandeau, Katja Joronen, Bonnie Leadbeater, Ersilia Menesini, Benedetta Emanuela Palladino, Christina Salmivalli, Olga Solomontos-Kountouri, René Veenstra, Minne Fekkes, Geertjan Overbeek
Does Social and Economic Disadvantage Predict Lower Engagement with Parenting Interventions? An Integrative Analysis Using Individual Participant Data
Vashti Berry, G. J. Melendez-Torres, Nick Axford, Ulf Axberg, Bram Orobio de Castro, Frances Gardner, Maria Filomena Gaspar, Bjørn Helge Handegård, Judy Hutchings, Ankie Menting, Sinéad McGilloway, Stephen Scott, Patty Leijten
Investigating for Whom Brief Substance Use Interventions Are Most Effective: An Individual Participant Data Meta-analysis
Maria L. Schweer-Collins, Nicholas J. Parr, Richard Saitz, Emily E. Tanner-Smith
Gender, Racial, and Socioeconomic Disparities on Social and Behavioral Skills for K-8 Students With and Without Interventions: An Integrative Data Analysis of Eight Cluster Randomized Trials
Nianbo Dong, Keith C. Herman, Wendy M. Reinke, Sandra Jo Wilson, Catherine P. Bradshaw
Developmental Models of Depression, Externalizing Problems, and Self-regulatory Processes: Integrated Data Analysis Across Four Longitudinal Studies of Youth
Kelsey E. Magee, Arin Connell, Alison E. Hipwell, Daniel Shaw, Erika Westling, Kate Keenan, Elizabeth Stormshak, Thao Ha, Stephanie Stepp
Peer Network Counseling Effects on Substance Use: an Individual Participant Data Meta-Analysis Integrating Three Randomized Controlled Trials
Michael A. Russell, J. Douglas Coatsworth, Aaron Brown, Nikola Zaharakis, Jeremy Mennis, Gabriel C. Rodriguez, Michael J. Mason
Disrupting Maternal Transmission of Depression: Using Integrative Data Analysis (IDA) to Examine Indirect Effects of the Family Check-Up (FCU) Across Three Randomized Trials
Samuel Seidman, Arin Connell, Elizabeth Stormshak, Erika Westling, Thao Ha, Daniel Shaw
Who Benefits from School-Based Teen Pregnancy Prevention Programs? Examining Multidimensional Moderators of Program Effectiveness Across Four Studies
Sara A. Vasilenko, Omolola A. Odejimi, Jill R. Glassman, Susan C. Potter, Pamela M. Drake, Karin K. Coyle, Christine Markham, Susan Tortolero Emery, Melissa F. Peskin, Ross Shegog, Robert C. Addy, Leslie F. Clark
An Integrative Data Analysis of Main and Moderated Crossover Effects of Parent-Mediated Interventions on Depression and Anxiety Symptoms in Youth in Foster Care
Stacey S. Tiberio, Katherine C. Pears, Rohanna Buchanan, Patricia Chamberlain, Leslie D. Leve, Joseph M. Price, Andrea M. Hussong
Long-term Effects of the Family Check-Up on Suicidality in Childhood and Adolescence: Integrative Data Analysis of Three Randomized Trials
Arin M. Connell, Samuel Seidman, Thao Ha, Elizabeth Stormshak, Erika Westling, Melvin Wilson, Daniel Shaw
Harmonizing Depression Measures Across Studies: a Tutorial for Data Harmonization
Xin Zhao, Stefany Coxe, Margaret H. Sibley, Courtney Zulauf-McCurdy, Jeremy W. Pettit
Harmonizing Social, Emotional, and Behavioral Constructs in Prevention Science: Digging into the Weeds of Aligning Disparate Measures
Heather L. McDaniel, Lissette M. Saavedra, Antonio A. Morgan-López, Catherine P. Bradshaw, John E. Lochman, Chelsea A. Kaihoi, Nicole P. Powell, Lixin Qu, Anna C. Yaros
Informing Harmonization Decisions in Integrative Data Analysis: Exploring the Measurement Multiverse
Veronica T. Cole, Andrea M. Hussong, Nisha C. Gottfredson, Daniel J. Bauer, Patrick J. Curran
Brief Alcohol Interventions are Effective through 6 Months: Findings from Marginalized Zero-inflated Poisson and Negative Binomial Models in a Two-step IPD Meta-analysis
Eun-Young Mun, Zhengyang Zhou, David Huh, Lin Tan, Dateng Li, Emily E. Tanner-Smith, Scott T. Walters, Mary E. Larimer
Mitigating Multiple Sources of Bias in a Quasi-Experimental Integrative Data Analysis: Does Treating Childhood Anxiety Prevent Substance Use Disorders in Late Adolescence/Young Adulthood?
Lissette M. Saavedra, Antonio A. Morgan-López, Stephen G. West, Margarita Alegría, Wendy K. Silverman
Psychosis Symptom Trajectories Across Childhood and Adolescence in Three Longitudinal Studies: An Integrative Data Analysis with Mixture Modeling
Rashelle J. Musci, Joseph M. Kush, Katherine E. Masyn, Masoumeh Amin Esmaeili, Ryoko Susukida, Natalie Goulter, Robert McMahon, J. Mark Eddy, Nicholas S. Ialongo, Patrick Tolan, Jennifer Godwin, Karen L. Bierman, John D. Coie, D. Max Crowley, Kenneth A. Dodge, Mark T. Greenberg, John E. Lochman, Robert J. McMahon, Ellen E. Pinderhughes, Holly C. Wilcox
Addressing Systematic Missing Data in the Context of Causally Interpretable Meta-analysis
David H. Barker, Ruofan Bie, Jon A. Steingrimsson
Integrating Intensive Longitudinal Data (ILD) to Inform the Development of Dynamic Theories of Behavior Change and Intervention Design: a Case Study of Scientific and Practical Considerations
Lindsey N. Potter, Jamie Yap, Walter Dempsey, David W. Wetter, Inbal Nahum-Shani
Retrospective Psychometrics and Effect Heterogeneity in Integrated Data Analysis: Commentary on the Special Issue
George W. Howe, C. Hendricks Brown
Advancing Intervention and Prevention Research for Behavioral Health Problems Through Data Synthesis
Jane L. Pearson, Belinda E. Sims