setwd("C:/Users/irina/Documents/DND/EOHI/eohi2") options(scipen = 999) df <- read.csv("eohi2.csv") library(psych) library(dplyr) library(knitr) library(irr) # Select the 4 variables for reliability analysis reliability_vars <- df[, c("ehiDGEN_5_mean", "ehiDGEN_10_mean", "ehi5_global_mean", "ehi10_global_mean")] # Check for missing values print(colSums(is.na(reliability_vars))) # Remove rows with any missing values for reliability analysis reliability_data <- reliability_vars[complete.cases(reliability_vars), ] print(nrow(reliability_data)) # Cronbach's Alpha alpha_result <- alpha(reliability_data) print(alpha_result) # Split-half reliability split_half <- splitHalf(reliability_data) print(split_half) # Alpha if item dropped alpha_dropped <- alpha(reliability_data, check.keys = TRUE) print(alpha_dropped$alpha.drop) # Inter-item correlations cor_matrix <- cor(reliability_data, use = "complete.obs") print(round(cor_matrix, 5)) # Descriptive statistics desc_stats <- describe(reliability_data) print(desc_stats) # Create a summary table summary_table <- data.frame( Variable = names(reliability_data), n = nrow(reliability_data), Mean = round(colMeans(reliability_data, na.rm = TRUE), 5), SD = round(apply(reliability_data, 2, sd, na.rm = TRUE), 5), Min = round(apply(reliability_data, 2, min, na.rm = TRUE), 5), Max = round(apply(reliability_data, 2, max, na.rm = TRUE), 5), Median = round(apply(reliability_data, 2, median, na.rm = TRUE), 5) ) print(summary_table) # Save results write.csv(summary_table, "reliability_summary_ehi.csv", row.names = FALSE) # Create HTML output using knitr library(knitr) html_output <- paste0( "EHI Reliability Analysis", "

EHI Reliability Analysis

", "

Cronbach's Alpha

", kable(alpha_result$total, format = "html"), "

Split-Half Reliability

", "

Maximum split half reliability: ", round(split_half$maxrb, 5), "

", "

Minimum split half reliability: ", round(split_half$minrb, 5), "

", "

Alpha if Item Dropped

", kable(alpha_dropped$alpha.drop, format = "html"), "

Inter-Item Correlations

", kable(round(cor_matrix, 5), format = "html"), "

Descriptive Statistics

", kable(desc_stats, format = "html"), "

Summary Table

", kable(summary_table, format = "html"), "" ) writeLines(html_output, "EHI reliability.html")