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#' Data set on motive congruence.
#'
#' A dataset containing the explicit power motive, implicit power motive and self ratings of affective valence during a spontaneous speech.
#' The variables are as follows:
#'
#' \itemize{
#' \item ePow Explicit power motive, measured with a questionnaire (Unified Motive Scales, Schönbrodt & Gerstenberg, 2012). Raw values have been z standardized.
#' \item iPow Implicit power motive, measure with picture story exercise (6 pictures). Raw motive scores have been controlled for word count and z standardized
#' \item postVA z standardized valence rating after the speech (`How did you feel during the speech'). Consists of two bipolar items from the PANAVA questionnaire (Schallberger, 2005): `zufrieden ... unzufrieden' (satisfied ... unsatisfied) and `ungluecklich ... gluecklich' (unhappy ... happy).
#' }
#'
#' @references Schallberger, U. (2005). \emph{Kurzskala zur Erfassung der Positiven Aktivierung, Negativen Aktivierung und Valenz in Experience Sampling Studien (PANAVA-KS) [Short scales for the assessment of positive affect, negative affect, and valence in experience sampling studies]}. University of Zurich.
#' @references Schönbrodt, F. D., & Gerstenberg, F. X. R. (2012). An IRT analysis of motive questionnaires: The Unified Motive Scales. \emph{Journal of Research in Personality, 46}, 725-742. doi:10.1016/j.jrp.2012.08.010
#' @docType data
#' @keywords datasets
#' @format A data frame with 84 rows and 3 variables
#' @name motcon
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