Compute reliability statistics for scored scales

Produces Cronbach's alpha and McDonald's omega for each scale defined in the instrument, along with the number of items and sample size.

Usage

reliability_report(data, instrument, scales = NULL, alpha = TRUE, omega = TRUE)

Arguments

data

A tibble or data.frame of responses. Item columns must be present.

instrument

An sframe object.

scales

Character vector or NULL. A subset of scale IDs to analyse. When NULL (default), all scales in the instrument are included.

alpha

Logical. Whether to compute Cronbach's alpha. Defaults to TRUE.

omega

Logical. Whether to compute McDonald's omega. Defaults to TRUE.

Value

An object of class sframe_reliability_report, a list with one element per scale. Each element is a list of statistics and a summary tibble.

See also

sf_scale(), item_report()

Examples

# \donttest{
if (requireNamespace("psych", quietly = TRUE)) {
  demo <- sframe_demo_data()
  rr <- reliability_report(demo$responses, demo$instrument, omega = FALSE)
  print(rr)
}
#> Reliability Report
#> 
#> Scale: digital_marketing (Digital marketing effectiveness)
#>   Items: 3   N: 120
#>   Alpha:   0.837
#> 
#> Scale: service_quality (Service quality)
#>   Items: 3   N: 120
#>   Alpha:   0.844
#> 
#> Scale: sustainability (Sustainability perception)
#>   Items: 2   N: 120
#>   Alpha:   0.772
#> 
#> Scale: satisfaction (Tourist satisfaction)
#>   Items: 2   N: 120
#>   Alpha:   0.816
#> 
#> Scale: behavioural_intention (Behavioural intention)
#>   Items: 2   N: 120
#>   Alpha:   0.844
#> 
# }