get_mc_score {capl}R Documentation

Compute a motivation and confidence domain score.

Description

This function computes a motivation and confidence domain score (mc_score) based on the predilection (predilection_score), adequacy (adequacy_score), intrinsic motivation (intrinsic_motivation_score) and physical activity competence (pa_competence_score) scores. If one of the scores is missing or invalid, a weighted domain score will be computed from the other three scores. This score is used to compute the overall physical literacy score (capl_score).

Usage

get_mc_score(
  predilection_score = NA,
  adequacy_score = NA,
  intrinsic_motivation_score = NA,
  pa_competence_score = NA
)

Arguments

predilection_score

A numeric vector (valid values are between 1.8 and 7.5).

adequacy_score

A numeric vector (valid values are between 1.8 and 7.5).

intrinsic_motivation_score

A numericvector (valid values are between 1.5 and 7.5).

pa_competence_score

A numeric vector (valid values are between 1.5 and 7.5).

Details

Other capl functions called by this function include: validate_number().

Value

Returns a numeric vector with values between 0 and 30 (if valid) or NA (if not valid).

Examples

get_mc_score(
  predilection_score = c(7, 7.5, 5, 8, 4),
  adequacy_score = c(NA, 5, 3, 1, 4),
  intrinsic_motivation_score = c(5, 7.5, 4, 2, 3.5),
  pa_competence_score = c(6, 3, 6, 7, 2)
)

# [1] 24.0 23.0 18.0   NA 13.5


[Package capl version 1.39 Index]