AOUSDOHtools (version 1.0.4)

calc_stress_sum: Calculate Perceived Stress Sum Score

Description

This function computes a numeric perceived stress score, which ranges from 0 to 40. The score is the sum of responses to 10 specific items, where higher scores indicate higher levels of perceived stress.

Usage

calc_stress_sum(survey_df)

Value

A data frame with two columns: `person_id` and `stress_sum`, where `stress_sum` represents the total perceived stress score for each participant. Participants who did not answer all 10 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 = 10),
  question_concept_id = rep(c(40192381, 40192396, 40192419, 40192445,
                              40192449, 40192452, 40192462, 40192491,
                              40192506, 40192525), times = 3),
  answer_concept_id = sample(c(40192465, 40192430, 40192429, 40192477,
                                40192424), 30, replace = TRUE)
)

# Compute perceived stress sum scores
stress_sum_scores <- calc_stress_sum(survey_df)
head(stress_sum_scores)