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

Generative models have become adept at producing artifacts such as images, videos, and
prose at human-like levels of proficiency. New generative techniques, such as unsupervised …

Ground-truth labeling is an important activity in machine learning. Many studies have
examined how crowdworkers apply labels to records in machine learning datasets …

Background Social media has become the most popular communication tool used by
Chinese citizens, including expectant mothers. An increasing number of women have …

Sampling is one of the most controversial matters in qualitative research. Qualitative
researchers have often been denounced for not giving adequate rationalisations for their …

Purpose The exponential growth of artificial intelligence (AI) technologies, coupled with
advanced algorithms and increased computational capacity, has facilitated their widespread …

Qualitative Research (hereafter QR) frequently stimulates a great deal of questions and
queries on sampling guidelines (techniques, sample sizes and adequacy of samples), data …

Nitel araştırmalarda veri doygunluğu araştırmanın güven duyulabilirliği ve örneklemin
gerekçelendirilmesi açısından önemlidir. Veri doygunluğunun nitel araştırma sürecinde …

HADEBE, Nok'khanya F. and RAMUKUMBA, Tendani S.. Resilience and social support of
young adults living with mental illness in the city of Tshwane, Gauteng province, South …

Generative AI models are capable of creating high-fidelity outputs, sometimes
indistinguishable from what could be produced by human effort. However, some domains …