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 cat("Missing values per variable:\n") print(colSums(is.na(reliability_vars))) # Remove rows with any missing values for reliability analysis reliability_data <- reliability_vars[complete.cases(reliability_vars), ] cat("\nSample size for reliability analysis:", nrow(reliability_data), "\n") # Cronbach's Alpha cat("\n=== CRONBACH'S ALPHA ===\n") alpha_result <- alpha(reliability_data) print(alpha_result) # Alternative reliability measures cat("\n=== ADDITIONAL RELIABILITY MEASURES ===\n") # Split-half reliability split_half <- splitHalf(reliability_data) cat("Split-half reliability:\n") print(split_half) # Alpha if item dropped cat("\nAlpha if item dropped:\n") alpha_dropped <- alpha(reliability_data, check.keys = TRUE) print(alpha_dropped$alpha.drop) # Inter-item correlations cat("\n=== INTER-ITEM CORRELATIONS ===\n") cor_matrix <- cor(reliability_data, use = "complete.obs") print(round(cor_matrix, 5)) # Descriptive statistics cat("\n=== DESCRIPTIVE STATISTICS ===\n") desc_stats <- describe(reliability_data) print(desc_stats) # Create a summary table summary_table <- data.frame( Variable = names(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), Skewness = round(apply(reliability_data, 2, skew, na.rm = TRUE), 5), Kurtosis = round(apply(reliability_data, 2, kurtosi, na.rm = TRUE), 5) ) cat("\n=== SUMMARY TABLE ===\n") print(summary_table) # Save results write.csv(summary_table, "reliability_summary_ehi.csv", row.names = FALSE) cat("\nResults saved to 'reliability_summary_ehi.csv'\n")