Survey Statistics: textbooks adding non-probability sampling chapters

Last week I asked for your favorite survey statistics textbooks. Thank you for many fun recommendations here and on Bluesky ! I am compiling a reading list for after the election. Here’s some not-blue-sky on the AT in TN:

Ben Schneider and Winston Lin share my love for Lumley 2010. I agree that it’s fun and a second edition would rock.

Some recommended books added sections on non-probability sampling in their new editions:

• Richard Valliant, Jill A. Dever & Frauke Kreuter, Practical Tools for Designing and Weighting Survey Samples, 2nd ed. (2018) recommended by Ben Schneider, Raphael Nishimura, Roman Folw, and Stephen Wild.
• Sharon L. Lohr, Sampling: Design and Analysis, 3rd ed. (2022) recommended by Ben Schneider, Ahmadou Dicko, Winston Lin, and Roman Folw.
• Brady T. West, Steven G. Heeringa & Patricia A. Berglund, Applied Survey Data Analysis, 3rd ed. (2025) recommended by Roman Folw and Stephen Wild.

Lumley 2010 already includes material applicable to non-probability sampling, see e.g. “2 flavors of calibration”. If there is a second edition maybe it will follow the books above and add a chapter about non-probability sampling ?

(See “probability samples vs epsem samples vs SRS samples” for more about the term “non-probability sampling”.)