scoring: Score a set of items to create overall scale score - generic

In JWileymisc: Miscellaneous Utilities and Functions

Score a set of items to create overall scale score - generic

Description

Score a set of items to create overall scale score - generic

Usage

score(
  data,
  reverse = NULL,
  limits = NULL,
  mean = TRUE,
  reliability = TRUE,
  na.rm = TRUE,
  ...
)

.scoreCESD(data, okay = c(0, 1, 2, 3), reverse = c(4, 8, 12, 16), ...)

.scoreLOTR(
  data,
  okay = c(1, 2, 3, 4, 5),
  reverse = c(2, 4, 5),
  indices = list(oindex = c(1, 3, 6), pindex = c(2, 4, 5)),
  ...
)

.scoreMastery(data, okay = c(1, 2, 3, 4), reverse = c(1, 6), ...)

.scoreMOSSSS(
  data,
  okay = c(1, 2, 3, 4, 5),
  indices = list(Structural = 1, Tangible = c(2, 5, 12, 15), Affectionate = c(6, 10, 20),
    PositiveInteraction = c(7, 11, 18), EmotionalInformational = c(3, 9, 16, 19, 4, 8,
    13, 17), Functional = 2:20),
  ...
)

.scorePANAS(
  data,
  okay = c(1, 2, 3, 4, 5),
  indices = list(pos = c(1, 3, 5, 9, 10, 12, 14, 16, 17, 19), neg = c(2, 4, 6, 7, 8, 11,
    13, 15, 18, 20)),
  ...
)

.scoreRSES(data, okay = c(0, 1, 2, 3), reverse = c(3, 5, 8, 9, 10), ...)

.scoreMOOD(
  data,
  indices = list(vision = c(1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 18, 19), impact =
    c(13, 14, 15, 16, 17, 20, 21)),
  ...
)

scaleScore(
  data,
  type = c("CESD", "LOTR", "Mastery", "RSES", "MOSSSS", "PANAS"),
  ...
)

Arguments

data	A data frame or an object coercable to a data frame.
reverse	A vector the same length as the number of columns in the data
limits	An optional vector indicating the lower and upper possible limits (for reversing)
mean	Logical whether to calculate the mean if TRUE or sum if FALSE
reliability	Logical whether or not to calculate reliability information for the scale. Defaults to TRUE.
na.rm	Logical whether to remove missing values or not. Defaults to TRUE
...	Additional arguments passed on to lower level functions
okay	A vector of okay or acceptable values
indices	Indicates columns for subscales, where applicable
type	A character string indicating the scale name, the type of scoring to use.

Value

A list containing the results.

score	The calculated scores.
reliability	Results from the omega function.

See Also

omega

JWileymisc documentation built on Oct. 5, 2023, 5:06 p.m.