## ----include = FALSE---------------------------------------------------------- knitr::opts_chunk$set(collapse = TRUE, comment = "#>") set.seed(12) ## ----setup-------------------------------------------------------------------- library(contentvalidR) ## ----data--------------------------------------------------------------------- rating_dat <- expand.grid( item = c("A1", "A2", "A3", "B1"), rater = 1:24, construct = c("A", "B", "C") ) rating_dat$target_construct <- ifelse(rating_dat$item == "B1", "B", "A") rating_dat$rating <- ifelse( rating_dat$construct == rating_dat$target_construct, pmin(5, pmax(1, round(rnorm(nrow(rating_dat), 4.4, .6)))), pmin(5, pmax(1, round(rnorm(nrow(rating_dat), 2.2, .8)))) ) ## ----htc---------------------------------------------------------------------- htc(rating_dat, scale_min = 1, scale_max = 5) ## ----htd---------------------------------------------------------------------- htd(rating_dat, scale_min = 1, scale_max = 5) ## ----anova-------------------------------------------------------------------- aov_out <- anova_content(rating_dat, design = "within") aov_out attr(aov_out, "contrasts") ## ----workflow----------------------------------------------------------------- fit <- rating_validity( rating_dat, scale_min = 1, scale_max = 5 ) fit summary(fit) ## ----scale-------------------------------------------------------------------- fit$scale_summary colquitt_benchmarks("htc") colquitt_benchmarks("htd") ## ----conditional-------------------------------------------------------------- rating_validity( rating_dat, orbiting_r = c(A = .42, B = .55) )$scale_summary ## ----expert------------------------------------------------------------------- rating_validity(rating_dat, judge_type = "expert")$scale_summary ## ----plot, fig.width=7, fig.height=4------------------------------------------ plot(fit, metric = "htc") plot(fit, metric = "htd") ## ----rating-map, fig.width=7, fig.height=5------------------------------------ plot(fit, type = "map") ## ----rating-profile, fig.width=7, fig.height=5-------------------------------- plot(fit, type = "profile")