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#' Multi-Trait Multi-Method correlation matrix reported by Boruch, Larkin, Wolins, and MacKinney (1970)
#'
#' The original study assessed supervisors on seven dimensions (i.e., 7
#' variables) from two sources (i.e., their least effective and most effective subordinate).
#'
#'
#' The sample size is \emph{n} = 111.
#'
#' The following variables were assessed:
#' \strong{Variables}:
#' \enumerate{
#' \item Consideration
#' \item Structure
#' \item Satisfaction with the supervisor
#' \item Job satisfaction
#' \item General effectiveness
#' \item Human relations skill
#' \item Leadership
#' }
#'
#' The test structure is as follows:
#' \strong{Test Structure}:
#' \itemize{
#' \item Test One: variables 1 through 7
#' \item Test Two: variables 8 through 14
#' }
#'
#' @source Boruch, R. F., Larkin, J. D., Wolins, L., and MacKinney, A. C. (1970).
#' Alternative methods of analysis: Multitrait multimethod data. \emph{Educational
#' and Psychological Measurement, 30}, 833-853.
#'
#' @usage data(Boruch70)
#'
#' @docType data
#' @keywords Multiple battery
#' @name Boruch70
#' @format A 14 by 14 correlation matrix with dimension names
#'
#' @examples
#' ## Load Boruch et al.'s dataset
#' data(Boruch70)
#'
#' Example4Output <- faMB(R = Boruch70,
#' n = 111,
#' NB = 2,
#' NVB = c(7,7),
#' numFactors = 2,
#' rotate = "oblimin",
#' rotateControl = list(standardize = "Kaiser",
#' numberStarts = 100))
#'
#' summary(Example4Output, digits = 3)
"Boruch70"
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