67 lines
2.1 KiB
R
67 lines
2.1 KiB
R
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") |