ePrivacy and GPDR Cookie Consent by Cookie Consent
The leading association
of public opinion and
survey research professionals
American Association for Public Opinion Research

Survey Practice Decisions 1

Click here to purchase this webinar kit.

Member Price: $130.00
Nonmember Price: $175.00

Student pricing available

Planning and Implementing Responsive Designs
About This Course:

Surveys are frequently designed with a great deal of uncertainty about key parameters. Responsive designs are a strategy for dealing with this uncertainty. These designs identify potential risks related to costs or errors, develop indicators for tracking these risks, and then plan design changes for controlling these costs or errors. These responsive design options are triggered if the indicators cross pre-specified thresholds. This presentation starts from a definition of the basic principles of responsive and adaptive designs and then provides concrete examples of the implementation of these designs. These examples are drawn from a variety of settings, including face-to-face, telephone, and mixed-mode surveys.

Learning Objectives: 

  • Describe the basic principles of responsive and adaptive survey designs.
  • Identify situations where responsive designs may be appropriate.
  • List several responsive design options that may be used in a variety of settings.

Population-Based Survey Experiments: How to do Them and What They're Good For
About This Course:
Population-based survey experiments are an invaluable tool for policy researchers and social scientists struggling to pin down causality outside of the laboratory. Thanks to technological advances in recent years, experiments can now be administered to random samples of the population to which a theory applies, thus enabling researchers to draw strong conclusions about causality using representative samples of the population of interest to a given theory or hypothesis.

The goal of this webinar is to familiarize researchers with this exciting new methodology and to provide a concise and accessible overview of its strengths and weaknesses. Most importantly, using creative examples drawn from across many disciplines, researchers will come away with a sense of the unique possibilities offered by this methodological approach along with practical advice on how to get started.

Learning Objectives:
  • The unique methodological advantages of survey experiments for researchers of all kinds, those formally trained in experimental and/or survey methods.
  • The experimental design considerations that are unique to survey experiments.
  • At least four different styles of survey-experimental designs that are already in use to solve common problems faced by survey researchers as well as experimentalists.
  • Practical considerations in the execution and analysis of survey-experimental results.

Extending the Total Survey Error Perspective to Multiple-Surveys and Big Data
The total survey error (TSE) paradigm was originally developed to apply to single surveys. As such it is both a theoretically and an empirically powerful approach to identifying and reducing survey error and thereby increasing reliability and validity. IN this presentation, TSE is applied to multiple surveys and to the use of auxiliary information from so-called Big Data and other sources.

Learning Objectives
  • Learning about the total survey error (TSE) paradigm.
  • Applying TSE to multiple surveys.
  • Incorporating Big Data into the TSE paradigm.