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SingleCase Informatics

Singlecaseinformatics offers a web‑based platform that delivers advanced statistical analysis and interactive visualizations tailored to single‑case research designs. Users can import their data to generate effect‑size calculations, trend analyses, and customizable graphs, streamlining the workflow from data collection to publication‑ready figures.

HQ unknown
310+ followers
Updated 1 month ago

Funding

Funding not disclosed

Funding rounds are not available yet.

Founders

Founder details are not available yet.

Product

Problem

Researchers conducting single-case studies often rely on generic statistical software that lacks tailored analyses and visualizations, making data processing time‑consuming and results difficult to interpret.

Solution

SingleCase Informatics provides a web‑based platform that automates the statistical analysis and visualization workflow for single‑case research. The system applies appropriate time‑series and phase‑change methods, then generates interactive charts and customizable dashboards that highlight trends, effect sizes, and variability across phases. Users can export publication‑ready graphics and detailed reports, reducing manual coding and improving the clarity of findings for both experimental and clinical investigations.

Target Audience

Primary users are psychologists, educators, clinicians, and other researchers who conduct single‑case experimental or observational studies and need specialized analysis and presentation tools.

Features

  • Built‑in support for common single‑case designs, including AB, ABA, and multiple baseline analyses
  • Automated calculation of effect‑size metrics such as nonoverlap indices and trend slopes
  • Interactive visualizations with zoom, pan, and annotation tools for each phase of the study
  • Customizable dashboard layout allowing researchers to combine tables, plots, and statistical summaries
  • Export options for high‑resolution figures (PNG, SVG, PDF) and data tables (CSV, Excel) for manuscript preparation
  • Cloud‑based processing that handles large time‑series datasets without local software installation
This profile is AI-generated and may contain inaccuracies.