AOUSDOHtools (version 1.0.4)

calc_social_support: Calculate Social Support Score

Description

This function computes a numeric social support score ranging from 0 to 100. The score is based on the mean of individual item scores, transformed to a 0-100 scale, with higher scores indicating more social support.

Usage

calc_social_support(survey_df)

Value

A data frame with two columns: `person_id` and `social_support`, where `social_support` is the calculated social support score for each participant. The score is scaled from 0 to 100, with higher values indicating greater social support. Participants who did not answer all eight questions will have NA values.

Arguments

survey_df

A data frame containing survey data with at least three columns: `person_id`, `question_concept_id`, and `answer_concept_id`.

Examples

# Create a sample survey data frame
survey_df <- data.frame(
  person_id = rep(1:3, each = 8),
  question_concept_id = rep(c(40192388, 40192399, 40192439, 40192442,
                              40192446, 40192480, 40192511, 40192528), times = 3),
  answer_concept_id = sample(c(40192454, 40192518, 40192486, 40192382, 40192521),
                             24, replace = TRUE)
)

# Compute social support scores
social_support_scores <- calc_social_support(survey_df)
head(social_support_scores)