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@@ -4,9 +4,9 @@ Title: Procedures for Computing Indices of Careless Responding | |
Version: 1.2.0 | ||
Date: 2020-07-25 | ||
Authors@R: c( | ||
person("Richard", "Yentes" , email = "[email protected]", role = c("cre", "aut")), | ||
person("Richard", "Yentes" , email = "[email protected]", role = c("cre", "aut")), | ||
person("Francisco", "Wilhelm", email = "[email protected]", role = c("aut"))) | ||
Maintainer: Richard Yentes <[email protected]> | ||
Maintainer: Richard Yentes <[email protected]> | ||
Description: When taking online surveys, participants sometimes respond to items without regard to their content. | ||
These types of responses, referred to as careless or insufficient effort responding, constitute significant problems for data quality, leading to distortions in data analysis and hypothesis testing, such as spurious correlations. The 'R' package 'careless' provides solutions designed to detect such careless / insufficient effort responses by allowing easy calculation of indices proposed in the literature. It currently supports the calculation of longstring, even-odd consistency, psychometric synonyms/antonyms, Mahalanobis distance, and intra-individual response variability (also termed inter-item standard deviation). For a review of these methods, see Curran (2016) <doi:10.1016/j.jesp.2015.07.006>. | ||
License: MIT + file LICENSE | ||
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#' } | ||
#' The sample datasets differ in the types of careless responding simulated. | ||
#' | ||
#' @author Richard Yentes \email{[email protected]}, Francisco Wilhelm \email{[email protected]} | ||
#' @author Richard Yentes \email{[email protected]}, Francisco Wilhelm \email{[email protected]} | ||
#' | ||
#' | ||
#' @docType package | ||
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#' factor in the dataset | ||
#' @param diag optionally returns a column with the number of available (i.e., non-missing) even/odd pairs per observation. | ||
#' Useful for datasets with many missing values. | ||
#' @author Richard Yentes \email{[email protected]}, Francisco Wilhelm \email{[email protected]} | ||
#' @author Richard Yentes \email{[email protected]}, Francisco Wilhelm \email{[email protected]} | ||
#' @references | ||
#' Johnson, J. A. (2005). Ascertaining the validity of individual protocols | ||
#' from web-based personality inventories. \emph{Journal of Research in Personality, 39}, 103-129. \doi{10.1016/j.jrp.2004.09.009} | ||
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#' | ||
#' @param x a matrix of data (e.g. item responses) | ||
#' @param avg logical indicating whether to additionally return the average length of identical consecutive responses | ||
#' @author Richard Yentes \email{[email protected]}, Francisco Wilhelm \email{[email protected]} | ||
#' @author Richard Yentes \email{[email protected]}, Francisco Wilhelm \email{[email protected]} | ||
#' @references | ||
#' Johnson, J. A. (2005). Ascertaining the validity of individual protocols | ||
#' from web-based personality inventories. \emph{Journal of Research in Personality, 39}, 103-129. \doi{10.1016/j.jrp.2004.09.009} | ||
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#' @param flag Flag potential outliers using the confidence level specified in parameter \code{confidence} | ||
#' @param confidence The desired confidence level of the result | ||
#' @param na.rm Should missing data be deleted | ||
#' @author Richard Yentes \email{[email protected]}, Francisco Wilhelm \email{[email protected]} | ||
#' @author Richard Yentes \email{[email protected]}, Francisco Wilhelm \email{[email protected]} | ||
#' @references | ||
#' Meade, A. W., & Craig, S. B. (2012). Identifying careless responses in survey data. | ||
#' \emph{Psychological Methods, 17(3)}, 437-455. \doi{10.1037/a0028085} | ||
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#' @param critval is the minimum magnitude of the correlation between two items | ||
#' in order for them to be considered psychometric synonyms. Defaults to -.60 | ||
#' @param diag additionally return the number of item pairs available for each subject. Useful if dataset contains many missing values. | ||
#' @author Richard Yentes \email{[email protected]}, Francisco Wilhelm \email{[email protected]} | ||
#' @author Richard Yentes \email{[email protected]}, Francisco Wilhelm \email{[email protected]} | ||
#' @export | ||
#' @seealso \code{\link{psychsyn}} for the main function, \code{\link{psychsyn_critval}} for a helper that allows to set an | ||
#' adequate critical value for the size of the correlation. | ||
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#' psychometric synonyms. Defaults to \code{FALSE} | ||
#' @param diag additionally return the number of item pairs available for each observation. Useful if dataset contains many missing values. | ||
#' @param resample_na if psychsyn returns NA for a respondent resample to attempt getting a non-NA result. | ||
#' @author Richard Yentes \email{[email protected]}, Francisco Wilhelm \email{[email protected]} | ||
#' @author Richard Yentes \email{[email protected]}, Francisco Wilhelm \email{[email protected]} | ||
#' @references | ||
#' Meade, A. W., & Craig, S. B. (2012). Identifying careless responses in survey data. | ||
#' \emph{Psychological Methods, 17(3)}, 437-455. \doi{10.1037/a0028085} | ||
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