wizaRdry (version 0.2.6)

qualtrics.rune: Parse composite Qualtrics survey into component data frames by variable prefix

Description

This function fetches a Qualtrics data frame containing multiple surveys and separates it into individual data frames for each survey detected in the data. It identifies the appropriate identifier column (e.g., participantId, workerId) and splits the data based on column name prefixes.

Usage

qualtrics.rune(
  qualtrics_alias,
  institution = NULL,
  label = FALSE,
  interview_date = NULL,
  lower = TRUE
)

Value

Creates multiple dataframes in the global environment, one for each survey detected in the data. Each dataframe is named after its survey prefix.

Arguments

qualtrics_alias

Character string specifying the Qualtrics survey alias to retrieve.

institution

Character string; default NULL, specify location

label

Logical; default TRUE, returns coded values as labels instead of raw values.

interview_date

Logical or Date String, returns all data before date

lower

default TRUE convert prefixes to lower case

Details

The function performs the following steps:

• Retrieves the raw Qualtrics data using the getSurvey() function

• Identifies which identifier column to use (participantId, workerId, PROLIFIC_PID, or src_subject_id)

• Determines survey prefixes by analyzing column names

• Creates separate dataframes for each survey prefix found

• Assigns each dataframe to the global environment with names matching the survey prefixes

Examples

if (FALSE) {
# Parse a Qualtrics export containing multiple surveys
qualtrics.rune("combined_surveys", label = FALSE)

# After running, access individual survey dataframes directly:
head(pss)  # Access the PSS survey dataframe
head(cesd) # Access the CESD survey dataframe
}