Integrative Data Analysis for Research in Developmental Psychopathology

Abstract

Abstract Researchers from many disciplines have increasingly called for changes in research practices to be more transparent and rigorous. One of the changes prominently discussed is the utilization of quantitative research synthesis from multiple single studies, which we broadly refer to as integrative data analysis (IDA). The present chapter discusses how IDA can be particularly helpful for research in developmental psychopathology. We provide a broad overview of evidence‐based quantitative approaches, covering different types of data, different analytical models, and complex research synthesis methods. We highlight the promise of utilizing individual participant‐level data from multiple single studies or networks of single studies for analyzing multiple related parameters (or multiple end points) within the framework of quantitative research synthesis. We provide several data examples to illustrate some of these methods. Through the use of innovative strategies for IDA, we can strengthen our research practices and expand our knowledge base cumulatively.