Non-probability Sampling

By Vasja Vehovar, V. Toepoel, S. Steinmetz. 2016

79 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Signal Processing

View Paper: https://www.semanticscholar.org/paper/62e9c4828f74567a46fd88c7d47f2f1b4b5f5858

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Irina Kuznetcova
2. Bethany Martens
3. Shantanu Tilak
4. Mitchell Shortt
5. Babatunde Akinkuolie

Citations in the corpus

• Gamification in mobile-assisted language learning: a systematic review of Duolingo literature from public release of 2012 to early 2020 (2021, background): “Non-probability samples raise questions regarding sampling bias and margins of error (Vehovar, Toepoel, & Steinmetz, 2016) and biases in favor of students already enrolled in language-learning classes or people already pursuing language learning (Creswell & Clark, 2018).”