• Sampling Practicum for Survey Researchers

Sampling Practicum for Survey Researchers

[Research Rockstar Training is about to beta test a new course on Sampling. Want to be a beta tester? We are offering this first-time course at 50% off its post-beta pricing. In exchange, participants will be asked for feedback to help us optimize the course for its formal launch in 2020]

Survey research success requires current, foundational knowledge of sampling strategy. Today, the professional survey researchers need to know both the theory and practical considerations needed for a sampling plan that will results in high-quality data. Surevy researchers dealing with declining response rates, over-surveyed populations, and sample source quality concerns require considerable knowledge and strategy.

During this 3-week course, students will learn sampling fundamentals and real-world strategies. This course includes a digital textbook, which will be delivered to the student by email. Please note that this course has required reading, and the student will be assigned 25-30 pages of reading each of the three weeks.

Upon conclusion, students will be able to advise clients...

[Research Rockstar Training is about to beta test a new course on Sampling. Want to be a beta tester? We are offering this first-time course at 50% off its post-beta pricing. In exchange, participants will be asked for feedback to help us optimize the course for its formal launch in 2020]

Survey research success requires current, foundational knowledge of sampling strategy. Today, the professional survey researchers need to know both the theory and practical considerations needed for a sampling plan that will results in high-quality data. Surevy researchers dealing with declining response rates, over-surveyed populations, and sample source quality concerns require considerable knowledge and strategy.

During this 3-week course, students will learn sampling fundamentals and real-world strategies. This course includes a digital textbook, which will be delivered to the student by email. Please note that this course has required reading, and the student will be assigned 25-30 pages of reading each of the three weeks.

Upon conclusion, students will be able to advise clients on colleagues on issues such as: 

    • How do we define our population of interest?
    • What options exist for calculating the needed sample size?
    • What is the practical difference between probability and non-probability samples?
    • Is “random sampling” an option?
    • Should we use stratified sampling?
    • What can we do to mitigate the risk or impact of non-response bias?
    • Should we weight the data?
    • How do sampling decisions vary based on online, phone or mixed-mode data collection?
    • How do we know if our survey data is representative of the population we are studying?

Agenda

This course is organized into 3 parts. Each part includes a pre-reading assignment, an in-class lecture, examples, practice exercises and related job aids.

Part 1: Introduction to Applied Survey Sampling

    • Introduction to sampling
    • Sources of error in survey research
    • Probability and non-probability samples
    • Types of probability samples
    • Types of non-probability samples

 Part 2: Planning Your Sampling Strategy

    • Defining the population of interest
    • Known problems with sample sources
    • Handling common challenges: duplicates, omissions, inaccuracies
    • Random sampling
    • Non-response bias
    • Probability sampling & quotas
    • Weighting: when to use, how to calulate weighting factors

 Part 3: Sample Size & Representativity

    • Sample size calculations (and when to avoid online calculators)
    • Sample size, confidence intervals & precision
    • Sample size planning for subgroup analysis
    • Sample size planning for hard-to-reach populations
    • Snowball sampling
    • River sampling
    • Panel sampling
    • Online panels & quality assessments
    • Strategies to mitigate non-response bias

Class topics, instructor, dates and times subject to change. Instructor illness, inclement weather and other unexpected events may result in rescheduling.