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Quickstart Guide to undertsanding the Qualtrics Survey File

This information is likely to quickly become outdated when Qualtrics next changes the formatting of the QSF file. This guide was started February 2017. I hope that it is a useful introduction to understanding the contents of the QSF file that one can download from Qualtrics.

This document includes:

• An introduction to JSON
• The Anatomy of a Qualtrics Survey File (QSF)
• A Breakdown of Question Structure
• A Guide to Recognizing Question Types

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# ID529 Core Concepts Script 

# This script covers the following skills:
#   - Installing packages 
#   - Reading csv data in with readr::read_csv
#   - Using dplyr for group_by and summarize
#   - Creating factors, setting reference levels
#   - Creating plots with ggplot2 and saving them 
#   - Fitting a model
#   - Reporting on a model with gtsummary

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# Let's Review

# We circulated a survey about what would be the most useful material for us to
# review and revisit, as well as if there are any questions that would be useful
# for us to go over together.

# Overall topics to try to cover: 
# 
#   - dplyr and data manipulation 
#   - color in ggplot2 

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# Functional Programming 
# ID529 

# Topics to cover 
# 
#  - sapply, apply family 
#  - purrr::map 
#  - summarize 
#  - stratified models
# 

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#' Create Encrypted Files
create_encrypted_height_weight_medications <- function() {

  # load files to be encrypted
  dfs <-
    list(
      file1 = "sensitive_data/file1.xlsx",
      file2 = "sensitive_data/file2.xlsx",
      file3 = "sensitive_data/file3.xlsx"
    ) %>% purrr::map(readxl::read_excel)

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Using Recode Values in Qualtrics

Recode Values are used for different purposes depending on the question type in the Qualtrics platform. Below is a quick reference to what kinds of variables are available to be defined by the user in a given question type, and where they appear in the response set. The Recode Values are always numeric variables, and Question Export Tags can be set as strings. On the following pages are short explanations for each question type with some screenshots of the recode values menu in use and the output the example creates.

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library(raster)
library(sf)
library(mapview)
library(janitor)
library(tidyverse)
library(RColorBrewer)

# google: get shapefiles for states of india in r 
# results: 
#   - https://rstudio-pubs-static.s3.amazonaws.com/435552_5656a7fe6636474fb0f8d4222d79db2c.html 

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