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.