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#' @importFrom tibble tibble
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#' Trust in the Police in Belgium (European Social Survey, Round 5)
#'
#' This is a sample data set cobbled from the fifth round of
#' European Social Survey data for Belgium. It offers a means to do a
#' basic replication of some of Chapter 5 of The SAGE Handbook of
#' Regression Analysis and Causal Inference.
#'
#' @format A data frame with 1704 observations on the following 10 variables.
#' \describe{
#' \item{\code{essround}}{a numeric for the ESS round}
#' \item{\code{edition}}{a character for the edition number of the fifth round}
#' \item{\code{idno}}{a numeric id number}
#' \item{\code{cntry}}{a character vector for the country (i.e. Belgium, or \code{BE})}
#' \item{\code{trstplc}}{a numeric vector for trust in the police on an 11-point scale. Higher values indicate more trust. 0 = "no trust at all". 10 = "complete trust"}
#' \item{\code{agea}}{a numeric vector for the respondent's age}
#' \item{\code{female}}{a numeric vector for whether the respondent is a woman or not.}
#' \item{\code{eduyrs}}{a numeric vector for years of education.}
#' \item{\code{hincfel}}{a numeric vector for the respondent's feeling about their household income. 1 = "living comfortably", 2 = "coping on present income", 3 = "difficult on present income", 4 = "very difficult on present income"}
#' \item{\code{plcpvcr}}{a numeric vector for how successful police are at preventing crimes in a country on an 11-point scale. 0 = "extremely unsuccessful". 10 = "extremely successful."}
#' }
#'
#' @details See Chapter 5 of The SAGE Handbook of Regression Analysis and Causal Inference for more information.
#'
#' @source European Social Survey (Round 5)
#'
"ESSBE5"
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