RSD Course Sequence Options

The RSD Course Sequence Options are offered to give a cohesive course offering for a specific research objective and areas of interest.  Participants can either register for a course sequence option or for individual courses.  Courses taken as an indivdual selection, not as part of a sequence, cost are as follows:

Responsive Survey Design (RSD) Workshops

 

One RSD Workshop

$300.00

Two RSD Course Sequence Option

$550.00

Three RSD Course Sequence Option

$800.00

Each additional RSD Workshop

$250.00

INTRODUCTION TO RESPONSIVE SURVEY DESIGN

Two-course sequence option cost is $550

This sequence of two one-day short courses is meant for persons who have an interest in learning the basics of Responsive Survey Design (RSD). The first day will be spent providing definitions and concepts of RSD. These concepts are illustrated using a wide variety of examples from different settings. During the day, participants will have the opportunity to develop aspects of an RSD using a hypothetical survey.

The second day will provide detailed accounts of the implementation of RSD across a wide variety of settings, including large field studies, small web surveys, and mixed-mode web/telephone surveys. These detailed case studies stress many of the practical aspects of implementing an RSD from the ground up. Instructors are experienced survey designers, who often act as consultants on survey design in many different environments.

Monday, June 17: Basic Concepts and Theoretical Background (Frauke Kreuter, Andy Peytchev, Brady West and James Wagner)

Tuesday, June 18: Case Studies in Responsive Survey Design Research (Brady West, Bill Axinn, Joe Murphy and Barry Schouten)

 

MANAGEMENT OF SURVEYS USING RESPONSIVE DESIGN  

Three-course sequence option cost is $800

 This sequence of three one-day short courses is intended for researchers, survey managers, or other data collectors who will be involved with the day-to-day management of a survey. The focus is on practical application of the RSD framework in a variety of settings, including large- and small-scale surveys in different modes of data collection (web, mail, telephone, face-to-face). Instructors are experienced survey managers with varied backgrounds.

The first day will provide an overview of best practices in survey management. These are viewed through the lens of RSD. The focus then shifts to specific issues and tasks associated with managing responsive designs. The instructors draw on their experiences to illustrate useful techniques and practices. The second day is focused on the development of tools for monitoring RSD. The course starts with an examination of principles for producing efficient data visualizations. These principles are then applied to monitoring RSD. Finally, the third day is spent examining a diverse set of design features that can be changed in real-time in an RSD context. The focus is on the design, testing, and implementation of useful interventions, and several examples from different survey settings will be provided.

Wednesday, June 19: A Management Model for Responsive Survey Design (Heidi Guyer, Joe Murphy and Shonda Kruger-Ndiaye)

Thursday, June 20: Data Visualization for Active Monitoring (Brad Edwards and Victoria Vignare)

Friday, June 21: Implementing, Managing, and Analyzing Interventions in an RSD Framework (Brady West)

 

STATISTICAL APPROACHES TO RESPONSIVE SURVEY DESIGN

Three-course sequence option cost is $800

This sequence of three two-day short courses is aimed at statisticians who are seeking to more precisely specify aspects of RSD. These courses will use statistical concepts and notation. They will also implement in-class exercises using statistical software.

The first day examines a variety of statistical indicators aimed at measuring different aspects of data quality (including proxy measures of nonresponse bias and measurement error). These indicators may be used to formulate decision rules in an RSD. The second day is a review of the use of RSD in the U.S. Federal Statistical System. This course gives several examples of how statistical indicators are being used in national surveys across federal agencies. The last day is spent examining a diverse set of design features that can be changed in real-time (and possibly experimentally) in an RSD context. The third course discusses the implementation of embedded experiments to evaluate RSD.

Wednesday, June 19: Alternative Indicators Designed to Maximize Data Quality (Barry Schouten and Natalie Shlomo)

Thursday, June 20: Implementation of RSD in the Federal Statistical System (Ben Reist and Stephanie Coffey)

Friday, June 21: Implementing, Managing, and Analyzing Interventions in an RSD Framework (Brady West)

 

RESPONSIVE SURVEY DESIGN FOR POPULATION SCIENTISTS

Three-course sequence option cost is $800

Shrinking budgets have made it more difficult to produce high quality data. Conducting quality research requires creative strategies that are designed to maximize quality under cost constraints. Responsive Survey Design (RSD) addresses this issue. By unveiling survey designs in phases, RSD allows population scientists to gather data as efficiently as possible.

This sequence of four short courses is aimed at researchers working in the field of population science, including demographers, public health researchers, and epidemiologists. The first half-day course will focus on introducing researchers in these fields to the field of survey methodology. Important aspects of survey design (e.g. sampling, questionnaire design, data collection, etc.) are discussed, linking in current best practices. The second half-day course then examines similarities (and differences) between adaptive design in clinical trials and responsive survey design in surveys. The third one-day course then introduces the concepts and definitions of RSD. These concepts are illustrated using a wide variety of examples from different settings. During the day, participants will have the opportunity to develop aspects of an RSD using a hypothetical survey. Given the increasing popularity of web surveys as a low-cost tool for collecting data, the final course then focuses on applying these principles in a web survey context with the aim of producing the highest quality data possible.

Monday, June 17: Survey Methodology for Health Science Researchers / Linking Adaptive Interventions and RSD (Brady West)

Tuesday, June 18: Basic Concepts and Theoretical Background (Frauke Kreuter, Andy Peytchev, Brady West and James Wagner

Wednesday, June 19: Responsive Survey Design in Web Surveys (Stephanie Coffey, Scott Crawford and Julie Smith)

 

RESPONSIVE SURVEY DESIGN FOR BEHAVIORAL SCIENCE/CLINICAL TRIALS

Three-course sequence option cost is $800

This sequence of three short courses is aimed at those who might be testing interventions (either medical or behavioral) in an experimental setting that requires follow-up – in the form of a questionnaire -- with participants. The sequence will bring to bear the current best practices developed by survey methodologists for limiting bias in estimates. Estimates of a treatment effect might be biased if, for example, a subset of the experimental group for whom the treatment is not effective is lost to follow-up. Responsive Survey Design (RSD) is aimed at controlling this type of error within fixed budgets.

The first half-day course will provide background in survey methodology for those conducting experimental research with data collected using a survey questionnaire. It will demonstrate how the science of survey methodology can be applied in the context of evaluating experimental treatments. The second half-day course in the sequence will examine similarities and differences between adaptive clinical trial design and responsive survey design. The third one-day course then introduces the concepts and definitions of RSD. These concepts are illustrated using a wide variety of examples from different settings. During the day, participants will have the opportunity to develop aspects of an RSD using a hypothetical survey. The fourth one-day course will then focus on the use of Sequential Multiple Assignment Randomized Trials (SMART), which are used to identify optimal treatment sequences. Potential applications of these designs are explored in both health settings and for survey designs. 

Monday, June 17: Survey Methodology for Health Science Researchers / Linking Adaptive Interventions and RSD (Brady West)

Tuesday, June 18: Basic Concepts and Theoretical Background (Frauke Kreuter, Andy Peytchev, Brady West and James Wagner

Wednesday, June 19: Using SMART Designs in Responsive Survey Design (Danny Almirall)