% Generated by roxygen2: do not edit by hand
% Please edit documentation in R/realist.R
\name{mb_contribution_claim}
\alias{mb_contribution_claim}
\title{Contribution-analysis claim}
\usage{
mb_contribution_claim(
  claim,
  evidence_for,
  evidence_against = character(0),
  strength = c("weak", "moderate", "strong")
)
}
\arguments{
\item{claim}{Character scalar. The contribution claim being
tested.}

\item{evidence_for}{Character vector. Evidence supporting the
claim.}

\item{evidence_against}{Character vector. Evidence against the
claim. Default \code{character(0)}.}

\item{strength}{Character scalar. One of \code{"weak"}, \code{"moderate"},
\code{"strong"}. Reflects the analyst's overall judgement after
weighing evidence for and against.}
}
\value{
An \code{mb_contribution_claim} object.
}
\description{
Records a contribution claim with supporting and refuting
evidence and an overall strength rating. Used in
contribution-analysis-style theory-based evaluation, where causal
inference comes from triangulating multiple evidence streams
against a contribution story rather than from a counterfactual.
}
\examples{
mb_contribution_claim(
  claim            = "The training programme contributed to higher employment",
  evidence_for     = c("Pre-post outcomes improved",
                       "Theory of change pathways visible in interviews"),
  evidence_against = "Macro labour market also improved",
  strength         = "moderate"
)
}
\references{
Mayne, J. (2008). Contribution Analysis: An approach to exploring
cause and effect. ILAC Brief No. 16.

HM Treasury (2020). The Magenta Book, chapter on theory-based
evaluation.
}
\seealso{
\code{\link[=mb_cmo]{mb_cmo()}}.

Other realist: 
\code{\link{mb_cmo}()}
}
\concept{realist}
