kineticPreproc

TLDR; Qualtrics data preprocessor for Kinetic

This package helps pull data from Kinetic by connecting to the Qualtrics API, and preprocesses the data to remove test data, incompletes, minor respondents, etc. It includes the following functions visible to the end user that supports all the required processes:

Overall flow

install.packages("devtools")
library(devtools)


## To install kineticPreproc Package
install_github("openstax/kineticPreproc")

library(kineticPreproc)

# Install all packages and make them readily accessible
make_packages_available(packages_needed = c("qualtRics", "tidyverse", "excluder"))

## Connecting to Qualtrics
qualtrics_cred_file <- "~/Documents/GitHub/research-kinetic-pipeline/qualtrics_cred.txt"

connect_to_qualtrics(qualtrics_credential = qualtrics_cred_file)

## Getting data
demographics <- get_survey_data(selected_kinetic_survey_kwd = "Kinetic-Demographic")

## Preprocessing data
demographics_clean <- preprocess_demographics_df(demographics)

## Other examples (IDT)
IDT <- get_survey_data(selected_kinetic_survey_kwd = "IDT")
IDT_clean <- preprocess_qualtrics_df(IDT)