suddengains

suddengains identifies sudden gains in longitudinal datasets to quantify large, stable improvements between consecutive outcome measurements in psychological and behavioral intervention studies and is implemented as an R package.


Key Features:

  • Automation: Automates the application of the three traditional criteria for identifying sudden gains across longitudinal assessments.
  • Customization: Supports customization to incorporate methodological adaptations of the standard sudden-gain criteria.
  • Descriptive statistics and data export: Calculates descriptive statistics and enables export of data files for further analysis.
  • Reproducibility and reporting: Standardizes the application of criteria to improve reproducibility and reporting of sudden-gain analyses.
  • Research efficiency: Facilitates consistent and efficient identification of sudden gains to support research on individual change processes.

Scientific Applications:

  • Psychology and behavioral sciences: Detects sudden gains in repeated-measures outcome data to study individual change processes in psychological and behavioral intervention research.
  • Longitudinal assessment analysis: Applies to longitudinal datasets with multiple assessments to quantify large, stable improvements between consecutive measurements.

Methodology:

Automated application of the three traditional sudden-gain criteria; customizable incorporation of adaptations to those criteria; calculation of descriptive statistics; and export of data files for standardized reporting.

Topics

Details

Programming Languages:
R
Added:
1/18/2021
Last Updated:
2/24/2021

Operations

Publications

Wiedemann M, Thew GR, Stott R, Ehlers A. suddengains: An R package to identify sudden gains in longitudinal data. PLOS ONE. 2020;15(3):e0230276. doi:10.1371/journal.pone.0230276. PMID:32150589. PMCID:PMC7062272.

PMID: 32150589
PMCID: PMC7062272
Funding: - Wellcome Trust: 069777 and 200976, 102176