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Describing Research Design.

Chittaranjan Andrade1

  • 1Department of Psychopharmacology, National Institute of Mental Health and Neurosciences, Bengaluru, Karnataka, India.

Indian Journal of Psychological Medicine
|April 16, 2019
PubMed
Summary
This summary is machine-generated.

Understanding research design is crucial for scientific studies. This article clarifies the many ways study designs can be categorized, aiding researchers in accurate classification and interpretation.

Keywords:
Case-control studycross-sectional studyprospective studyrandomized controlled trialresearch design

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Area of Science:

  • Scientific methodology
  • Research design principles

Background:

  • Research studies can be described using numerous descriptors.
  • These descriptors cover various aspects of study methodology, from data collection to analysis.

Purpose of the Study:

  • To elucidate the multifaceted nature of research design classification.
  • To provide clarity on the numerous ways a single study's design can be characterized.
  • To help readers distinguish between mutually exclusive and non-mutually exclusive descriptors.

Main Methods:

  • The article systematically lists and explains various research design categories.
  • It contrasts dichotomous descriptors (e.g., observational vs. interventional).
  • It highlights specific research designs like cohort and case-control studies.

Main Results:

  • Research designs are classifiable across multiple dimensions simultaneously.
  • Descriptors include empirical/nonempirical, observational/interventional, and randomized/nonrandomized, among others.
  • Understanding these classifications is key to interpreting study validity and applicability.

Conclusions:

  • A comprehensive understanding of research design descriptors is essential for scientific rigor.
  • Accurate classification aids in the appropriate interpretation and application of study findings.
  • Researchers must discern which descriptive categories are mutually exclusive.