#' A function that scores Miller & Byers's Sexual Intervention Self-Efficacy Scale
#' Self-Efficacy Inventory
#'
#' Calculates three subscale scores
#' @param dat data frame
#' @param firstq input character for the name of the column for the first
#'variable (e.g., "SIEF_1")
#' @return data frame with new vectors of scores
#' @export
#' @examples
#' dat = scoreMiller(dat, firstq = "SIEF_1")
scoreMiller <- function(dat, firstq){
itemnum<-19
firstcol<-match(firstq, names(dat))
lastcol<-firstcol+itemnum-1
varnames<-names(dat[firstcol:lastcol])
relayinfo.names<- varnames[13:19]
relayinfo.scores<-psych::scoreItems(relayinfo.names, dplyr::select(dat, !!relayinfo.names), totals = TRUE, min = 1, max = 6)
data<-cbind(dat, relayinfo.scores$scores)
names(data)[names(data)==names(data[ncol(data)])]<-"relayinfo"
skills.names<- varnames[c(1,3,5,6,8,10,12)]
skills.names_scoring <-skills.names
skills.names_scoring[[1]]<-paste("-", skills.names_scoring[[1]], sep = "")
skills.names_scoring[[2]]<-paste("-", skills.names_scoring[[2]], sep = "")
skills.names_scoring[[5]]<-paste("-", skills.names_scoring[[5]], sep = "")
skills.scores<-psych::scoreItems(skills.names_scoring, dplyr::select(dat, !!skills.names), totals = TRUE, min = 1, max = 6)
data<-cbind(data, skills.scores$scores)
names(data)[names(data)==names(data[ncol(data)])]<-"skills"
comfort.names<- varnames[c(2,4,7,9,11)]
comfort.names_scoring <-comfort.names
comfort.names_scoring[[1]]<-paste("-", comfort.names_scoring[[1]], sep = "")
comfort.names_scoring[[4]]<-paste("-", comfort.names_scoring[[4]], sep = "")
comfort.names_scoring[[5]]<-paste("-", comfort.names_scoring[[5]], sep = "")
comfort.scores<-psych::scoreItems(comfort.names_scoring, dplyr::select(dat, !!comfort.names), totals = TRUE, min = 1, max = 6)
data<-cbind(data, comfort.scores$scores)
names(data)[names(data)==names(data[ncol(data)])]<-"comfort"
return(data)
}
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