Survey Research: Design, Planning, Implementation, and Ethics

This module introduces the foundational concepts of survey methodology, which will be further examined throughout the course. In its modern form, the discipline of survey methodology follows the Total Survey Error (TSE) framework, which will be fully discussed.

Recommended Use: Required
ID (Language): 20996 (English)
Author(s): Matt Jans, PhD - National Center for Health Statistics ; Zoe Padgett, MS - Momentive.AI (Survey Monkey)

This module focuses on the measurement side of the Total Survey Error (TSE) framework. Measurement error has roots in psychological measurement. Measurement errors are those that occur when researchers record data and are sometimes called “errors of observation.”

Recommended Use: Required
ID (Language): 20997 (English)
Author(s): Matt Jans, PhD - National Center for Health Statistics ; Zoe Padgett, MS - Momentive.AI (Survey Monkey)

This module covers the representation side of the Total Survey Error (TSE) framework. It explains coverage, sampling, nonresponse, and statistical adjustment errors, including some of the most common approaches and issues with each type of error.

Recommended Use: Required
ID (Language): 20998 (English)
Author(s): Matt Jans, PhD - National Center for Health Statistics ; Zoe Padgett, MS - Momentive.AI (Survey Monkey)

This module turns to the practical applications of measurement error principles and provides concrete advice to help you write survey items that minimize measurement error and item nonresponse.

Recommended Use: Required
ID (Language): 20999 (English)
Author(s): Matt Jans, PhD - National Center for Health Statistics ; Zoe Padgett, MS - Momentive.AI (Survey Monkey)

This module discusses how sampling is conducted and how decisions about sampling and contact approaches to maximize response are related in practice. 

Recommended Use: Required
ID (Language): 21000 (English)
Author(s): Matt Jans, PhD - National Center for Health Statistics ; Zoe Padgett, MS - Momentive.AI (Survey Monkey)

This module brings all of the individual components of survey design together and how to develop a series of detailed protocols.

Recommended Use: Required
ID (Language): 21001 (English)
Author(s): Matt Jans, PhD - National Center for Health Statistics ; Zoe Padgett, MS - Momentive.AI (Survey Monkey)

This module begins with a description of the analysis and reporting best practices that are unique to surveys. It then discusses how to create a data collection system to help you implement those best practices. The module also provides a brief overview of creating and using survey weights and preparing for analysis and reporting throughout the survey lifecycle.

Recommended Use: Required
ID (Language): 21002 (English)
Author(s): Matt Jans, PhD - National Center for Health Statistics ; Zoe Padgett, MS - Momentive.AI (Survey Monkey)

Research involving surveys may be exempt from the regulations, or an Institutional Review Board (IRB) may determine that is “not greater than minimal risk”. However, there are common design choices that require more ethical scrutiny, such as whether sampled people and households are truly anonymous, the type of data collected, and the potential for respondents to feel they are required to participate. If an organization does not have an IRB or formal ethics review process, this module provides a roadmap to maintain high ethical standards in research. 

Recommended Use: Required
ID (Language): 21003 (English)
Author(s): Matt Jans, PhD - National Center for Health Statistics ; Zoe Padgett, MS - Momentive.AI (Survey Monkey)