Sampling blog post series
This series of blog posts from FHI 360 thought leaders focuses on research sampling methods, strategies and recommendations.
Emojis convey language, why not a sampling lesson too?
By Greg Guest: This blog post explains sampling terminology and describes the most common sampling approaches with emoji-themed graphics.
A pathway for sampling success
By Greg Guest: Rather than droning on comparing this or that sampling strategy, this blog post presents a simple sampling decision tree.
Riddle me this: How many interviews (or focus groups) are enough?
By Emily Namey: This blog post addresses the often-asked question: How many in-depth interviews and focus groups do I need to conduct for my study?
Sample size is not king: Challenges in the implementation of probability sampling designs in the field, Part I
By Mario Chen: This blog post explores what it takes to obtain a rigorous probability sample and addresses threats to validity.
Don’t spin the bottle, please: Challenges in the implementation of probability sampling designs in the field, Part II
By Mario Chen: This blog post explores household selection within sampled areas, focusing on sampling principles, challenges, approaches and recommendations.
Exploring the parameters of “it depends” for estimating the rate of data saturation in qualitative inquiry
By Greg Guest & Emily Namey: This blog post outlines five research parameters that most commonly affect how quickly/slowly data saturation is achieved in qualitative inquiry.