Test for Validity and Reliability

This task serves as your sixth deliverable

  1. Please download one of the following


    While a power analysis is ideal for this situation as first step, the point of the task is to get you familiar with a workflow for quantitatively driven surveys.

  2. Download your response data set using numerical values as a csv file . A step-by-step explanation can be found on the Qualtrics site Exporting Response Data and by viewing the gif below

  1. If you have 30 or more responses and more than two columns of quantitative data, then please move to step 4. Otherwise if you
  • only lack a sufficient number of responses but have more than two columns of quantitative data, then simulate the remaining data preferably within Qualtrics
  • do not have more than two columns of quantitative data, then please reach out to me via Slack and I will provide a unique real world survey data set you can use for this task
  1. Do one of the following to wrangle your data set

  • Manual approach: Open the csv file with your data and manually delete rows 2 and 3 as well as any columns that will not apply to the quantitative analysis

  • Automated approach: Open the test script Test for Validity and Reliability Testing Script.R, change the applicable values as needed, and then run it

    Note that just because a column has numbers in it, it may not be relevant to the analysis as it could be an item intended to filter your population, a skip logic type, or something else. For a better idea of the process noted above, take a look at the following gif

  1. Open the mostly empty Rmarkdown file Test for Validity and Reliability.Rmd, read through the directions, and include your syntax to receive credit. It is suggested that you use the example data set Test_Survey_Data.csv with the default test script Test for Validity and Reliability Testing Script.R to see how this is done and which values likely need to be tweaked

  2. Save the resulting PDF file by adding your first initial and last name to the beginning of the filename. For example, my submission would be aroy Test for Validity and Reliability.pdf. Please note that other formats (e.g. .docx, .R, .Rmd) will not be accepted

  3. Submit your PDF output to eCampus in the Submission Portal by the end of Week 13

All incremental deliverables can be found on the main Tasks page

  1. Please reach out if you would prefer to simulate data in R but are not able to do so ↩︎

Last updated on December 2, 2022

Edit this page