Discrepant results in mental health research : what they mean, why they matter, and how they inform scientific practices /

"I devote this book to what we know about discrepant results in mental health research. I began thinking about these discrepant results during the final years of my undergraduate training at Florida International University, under the mentorship of Wendy Silverman (2000-2002). I continued this...

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Bibliographic Details
Main Author: Reyes, Andres De Los (Author)
Format: eBook
Language:English
Published: New York, NY : Oxford University Press, [2024]
Subjects:
Online Access:Connect to the full text of this electronic book
Table of Contents:
  • The errors of yesterday, and the dark matter of today
  • Describing discrepant results. The ubiquity of discrepant results in research
  • Should discrepant results promote a crisis of confidence?
  • How discrepant results reveal blueprints for discovery
  • Conceptualizing discrepant results. Structurally different informants, triangulation, and falsifiability
  • Why theories about rater biases fail to explain discrepant results
  • The operations triad model
  • Validating discrepant results. The CONTEXT validation paradigm
  • Constructing measurement batteries
  • Distinguishing domain-relevant information from bias and noise
  • Project CONTEXT. The operations triad system and connections to the history of science
  • Study design and measurement validation battery
  • Insights about data sources, validation testing, and theory
  • How discrepant results inform scientific practices. Clinical utility
  • Meta-analysis
  • Research, education, and training
  • When clinic assessments produce discrepant results. The ubiquity of discrepant results in the clinic
  • The needs-to-goals gap framework
  • How the operations triad system informs assessing clients
  • Future directions in discrepant results research. Instrumentation
  • Analytic procedures
  • Clinical populations
  • Replication and reproduction
  • The power of discrepant results : the dark matter in mental health research.