nice_alpha_table: Table with alpha values

In jazznbass/wmisc: Wilbert miscellaneous functions

Table with alpha values

Description

Returns a data.frame with item analyses for the provided scales.

Usage

nice_alpha_table(
  data,
  scales,
  labels = NULL,
  round = 2,
  ci = TRUE,
  conf_level = 0.95,
  check_key = TRUE,
  keys = NULL,
  keys_from_weights = TRUE,
  RMSEA = FALSE,
  difficulty = FALSE,
  values = NULL,
  fa = TRUE
)

alpha_table(
  data,
  scales,
  labels = NULL,
  round = 2,
  ci = TRUE,
  conf_level = 0.95,
  check_key = TRUE,
  keys = NULL,
  keys_from_weights = TRUE,
  RMSEA = FALSE,
  difficulty = FALSE,
  values = NULL,
  fa = TRUE
)

Arguments

data	A data Frame
scales	A list containing vectors with variable names. Each list element defines one scale. Named list elements are used as labels.
labels	Label names for scales (defaults to named list elements in 'scales').
round	Rounds values to given decimal position.
ci	If TRUE confidence intervals are calculated.
conf_level	Confidence level (e.g. 0.95 for 95 percent).
check_key	Check_key for the psych::alpha function.
keys	Optional key argument for the psych::alpha function.
keys_from_weights	If TRUE, tries to define keys from scaledics "weights" parameter.
RMSEA	If TRUE RMSEA is calculated.
difficulty	If TRUE, the difficulty of the item is calculated.
values	Sets maximum and minimum valid values necessary to calculate item difficulty
fa	If TRUE, a one factor exploratory factor analyses is calculated and loadings are reported.

Value

A data frame with concise scale indices.

Examples

## Example needs packages scaledic and purrr installed and active
nice_alpha_table(
  data = wmisc:::ex_itrf, 
  scales = wmisc:::ex_itrf_scales, 
  labels = c("Inernalizing", "Externalizing"),
  difficulty = TRUE, 
  values = list(c(0, 3)), 
  RMSEA = TRUE
)

jazznbass/wmisc documentation built on Oct. 29, 2024, 5:42 p.m.