Objective To review empirical studies that assess saturation in qualitative research in order
to identify sample sizes for saturation, strategies used to assess saturation, and guidance we …

Judgement of quality in qualitative has been a contested and controversial issue amongst
researchers. Contention has always emanated from the subjective nature of qualitative …

Data saturation is the most commonly employed concept for estimating sample sizes in
qualitative research. Over the past 20 years, scholars using both empirical research and …

While there is significant enthusiasm in the medical community about the use of artificial
intelligence (AI) technologies in healthcare, few research studies have sought to assess …

Abstract Digital and Information and Communication Technologies (ICTs) and,
consequently, remote working have increased since the start of the COVID-19 pandemic …

The concept of data saturation, defined as 'information redundancy'or the point at which no
new themes or codes 'emerge'from data, is widely referenced in thematic analysis (TA) …

Qualitative methods are a valuable tool in implementation research because they help to
answer complex questions such as how and why efforts to implement best practices may …

Saturation is commonly used to determine sample sizes in qualitative research, yet there is
little guidance on what influences saturation. We aimed to assess saturation and identify …

There has been considerable recent interest in methods of determining sample size for
qualitative research a priori, rather than through an adaptive approach such as saturation …

Consumers are increasingly concerned about the environmental consequences of
packaging. Businesses are under pressure not only from consumers but also from …