PI Fusch Ph D, LR Ness - 2015 - scholarworks.waldenu.edu
Failure to reach data saturation has an impact on the quality of the research conducted and hampers content validity. The aim of a study should include what determines when data …
MA Islam, FMF Aldaihani - Journal of International Business and …, 2022 - researchgate.net
Justifying the adoption of the qualitative research method to satisfy the examiners (for thesis) and reviewers (for journal articles) is a challenging task for researchers in business …
The concept of saturation in qualitative research is a widely debated topic. Saturation refers to the point at which no new data or themes are emerging from the data set, which indicates …
MK Alam - … Research in Organizations and Management: An …, 2021 - emerald.com
Purpose The study aims to explore the case study method with the formation of questions, data collection procedures and analysis, followed by how and on which position the …
FY Sebele-Mpofu - Cogent Social Sciences, 2020 - Taylor & Francis
Judgement of quality in qualitative has been a contested and controversial issue amongst researchers. Contention has always emanated from the subjective nature of qualitative …
K Mwita - International Journal of Research in Business and …, 2022 - ssbfnet.com
This study aimed at examining the strengths and weaknesses of qualitative research in social science studies. The study conducted a systematic literature review of 22 published …
The qualitative research “gold standard” for quality research is data saturation. The limited literature on reporting data saturation and transparency in qualitative research has …
A Gheondea-Eladi - Jurnalul Practicilor Comunitare Pozitive, 2014 - ceeol.com
Many qualitative researchers are faced with the everlasting question of generalizability of their findings, especially when trying to support their research in front of quantitative …
K Mwita - International Journal of Research in Business and …, 2022 - ssbfnet.com
Novice and experienced researchers may encounter numerous methodological challenges when it comes to data collection. Data have to be collected from the right sources using …