AOUSDOHtools (version 1.0.4)

calc_loneliness: Calculate Loneliness Score

Description

This function computes a loneliness score based on responses to 8 specific items. The score ranges from 8 to 32, with higher scores indicating a greater degree of loneliness.

Usage

calc_loneliness(survey_df)

Value

A data frame with two columns: `person_id` and `loneliness`, where `loneliness` is the calculated loneliness score for each participant. The score is the sum of the individual item scores, with higher values indicating a higher degree of loneliness. Participants who did not answer all 8 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(40192390, 40192397, 40192398, 40192494,
                              40192501, 40192504, 40192507, 40192516), times = 3),
  answer_concept_id = sample(c(40192465, 40192481, 40192429, 40192482),
                             24, replace = TRUE)
)

# Compute loneliness scores
loneliness_scores <- calc_loneliness(survey_df)
head(loneliness_scores)