Advances in Data Analytic Methods
For individuals in the U.S. & U.S. territories
About the special issue
This series of articles, which provide an overview of several advanced statistical methods for evaluating treatment outcomes and mechanisms of change, makes up the first research methods-oriented special issue to appear in the Journal of Consulting and Clinical Psychology.
Like most active areas of scientific inquiry, the field of biostatistics and quantitative psychology continues to innovate and progress at a remarkable pace. These recent advancements provide researchers with the tools needed to ask and get answers to progressively nuanced and complex questions.
Articles in this issue
Advances in Data Analytic Methods for Evaluating Treatment Outcome and Mechanisms of Change: Introduction to the Special Issue
Pages 743–745
Compton, Scott N.; Rosenfield, David; Hofmann, Stefan G.; Smits, Jasper A. J.
Latent Growth Modeling With Domain-Specific Outcomes Comprised of Mixed Response Types in Intervention Studies
Pages 746–759
Whittaker, Tiffany A.; Pituch, Keenan A.; McDougall Jr., Graham J.
Modeling Nonlinear Time-Dependent Treatment Effects: An Application of the Generalized Time-Varying Effect Model (TVEM)
Pages 760–772
Shiyko, Mariya P.; Burkhalter, Jack; Li, Runze; Park, Bernard J.
Examining Moderation Analyses in Propensity Score Methods: Application to Depression and Substance Use
Pages 773–783
Green, Kerry M.; Stuart, Elizabeth A.
Linear and Nonlinear Growth Models: Describing a Bayesian Perspective
Pages 784–802
Depaoli, Sarah; Boyajian, Jonathan
Mediation, Identification, and Plausibility: An Illustration Using Children's Mental Health Services
Pages 803–812
Foster, E. Michael
Using a Shared Parameter Mixture Model to Estimate Change During Treatment When Termination Is Related to Recovery Speed
Pages 813–827
Gottfredson, Nisha C.; Bauer, Daniel J.; Baldwin, Scott A.; Okiishi, John C.
Time-Series Panel Analysis (TSPA): Multivariate Modeling of Temporal Associations in Psychotherapy Process
Pages 828–838
Ramseyer, Fabian; Kupper, Zeno; Caspar, Franz; Znoj, Hansjörg; Tschacher, Wolfgang
Treating Co-occurring Depression and Anxiety: Modeling the Dynamics of Psychopathology and Psychotherapy Using the Time-Varying Effect Model
Pages 839–853
Wright, Aidan G. C.; Hallquist, Michael N.; Swartz, Holly A.; Frank, Ellen; Cyranowski, Jill M.
Empirical Bayes MCMC Estimation for Modeling Treatment Processes, Mechanisms of Change, and Clinical Outcomes in Small Samples
Pages 854–867
Ozechowski, Timothy J.
Designing Adaptive Intensive Interventions Using Methods From Engineering
Pages 868–878
Lagoa, Constantino M.; Bekiroglu, Korkut; Lanza, Stephanie T.; Murphy, Susan A.
The Separation of Between-Person and Within-Person Components of Individual Change Over Time: A Latent Curve Model With Structured Residuals
Pages 879–894
Curran, Patrick J.; Howard, Andrea L.; Bainter, Sierra A.; Lane, Stephanie T.; McGinley, James S.
Data Mining in Psychological Treatment Research: A Primer on Classification and Regression Trees
Pages 895–905
King, Matthew W.; Resick, Patricia A.
Propensity Scores as a Basis for Equating Groups: Basic Principles and Application in Clinical Treatment Outcome Research
Pages 906–919
West, Stephen G.; Cham, Heining; Thoemmes, Felix; Renneberg, Babette; Schulze, Julian; Weiler, Matthias
Analyzing Multiple Outcomes in Clinical Research Using Multivariate Multilevel Models
Pages 920–930
Baldwin, Scott A.; Imel, Zac E.; Braithwaite, Scott R.; Atkins, David C.