calc_loneliness {AOUSDOHtools} | R Documentation |
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)
Arguments
survey_df |
A data frame containing survey data with at least three columns: 'person_id', 'question_concept_id', and 'answer_concept_id'. |
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.
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)
[Package AOUSDOHtools version 1.0.4 Index]