AOUSDOHtools (version 1.0.4)

calc_stress_category: Calculate Perceived Stress Category

Description

This function creates an ordinal categorical variable indicating perceived stress levels as 'Low', 'Moderate', or 'High' based on participants' total perceived stress score. The perceived stress score is calculated as the sum of individual item scores, with 'Low' for scores 0-13, 'Moderate' for scores 14-26, and 'High' for scores 27-40.

Usage

calc_stress_category(survey_df)

Value

A data frame with two columns: `person_id` and `stress_category`, where `stress_category` represents the stress level ('Low', 'Moderate', or 'High') 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 categories
stress_category_scores <- calc_stress_category(survey_df)
head(stress_category_scores)