Tools for Behavior Change Researchers and Professionals
Acyclic Behavior Change Diagram
Simple example datasets for ABCDs
Apply multiple DiagrammeR global graph attributes
behaviorchange: Tools for Behavior Change Researchers and Professional...
Concatenate to screen without spaces
Confidence Interval-Based Estimation of Relevance (CIBER)
CIBERlite
Create a COMPLECS graph
Represent a COMPLECS specification as a PRECEDE model
Determinant Structure specification
Functions to preprocess determinant structures
Estimate Cohen's d corresponding to a Meaningful Change Definition
Obtaining an R squared confidence interval estimate for an lm regressi...
Numbers Needed for Change
Visualising Numbers Needed for Change
Options for the behaviorchange package
Subsets of Party Panel datasets
Practically Important Effect Sizes
Potential for Change Index and the Determinant Selection Table
Repeat a string a number of times
Easily parse a vector into a character value
Wrap all elements in a vector
Contains specialised analyses and visualisation tools for behavior change science. These facilitate conducting determinant studies (for example, using confidence interval-based estimation of relevance, CIBER, or CIBERlite plots, see Crutzen, Noijen & Peters (2017) <doi:10/ghtfz9>), systematically developing, reporting, and analysing interventions (for example, using Acyclic Behavior Change Diagrams), and reporting about intervention effectiveness (for example, using the Numbers Needed for Change, see Gruijters & Peters (2017) <doi:10/jzkt>), and computing the required sample size (using the Meaningful Change Definition, see Gruijters & Peters (2020) <doi:10/ghpnx8>). This package is especially useful for researchers in the field of behavior change or health psychology and to behavior change professionals such as intervention developers and prevention workers.
Useful links