Qualitative Research from Start to Finish
By R. Yin. 2010
5,538 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/597a60f66b2b8271c7ddd8ca2071adf11b66f393
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
Citations in the corpus
- What makes qualitative research good research? An exploratory analysis of critical elements. (2017, background): “Qualitative research tries to get to the heart of what exactly happened to the participating individuals and what led them to decisions that they made and how the choices they made came to take the form that they eventually did (Curry et al., 2009; Yin, 2015).”
- Mitigating Supply Chain Risk via Sustainability Using Big Data Analytics: Evidence from the Manufacturing Supply Chain (2017, background): “Yin [80] asserts that through case study research, analytical generalizations, which are on par with statistical generalizations, can be”
- THEMATIC ANALYSIS: A CRITICAL REVIEW OF ITS PROCESS AND EVALUATION (2012, methodology): “…stages focus on visualising the data by using a number of different display techniques, such as, quotations, narrative text, figures, tabulating differences and similarities and clarifying the relationship including its associated complexity of data (Miles and Huberman 1994; Gibbs 2002; Yin 2010).”
- Constraints faced by women entrepreneurs in developing countries: review and ranking (2018, background): “Constraints with similar themes were grouped together into seven broad categories (Yin, 2015).”
- An analysis of Chinese EFL students’ use of first and second language in peer feedback of L2 writing (2014, methodology): “Open and axial coding was used to analyze the data (Yin, 2011).”
- Ethical Data Collection and Recognizing the Impact of Semi-Structured Interviews on Research Respondents (2020, background): “…by researchers, there is now a vast library of good quality instructional literature pertaining to offer methodological guidance in the planning, preparation, and undertaking of research interviews (see DiCicco-Bloom & Crabtree, 2006; Drever, 2003; Mason, 2002; Yin, 2011, for just a few examples).”
- Online Learning amidst Global Pandemic: EFL Students’ Challenges, Suggestions, and Needed Materials (2020, background): “The descriptive qualitative is based on Yin (2015), that aims to reveal an in-depth Novrika Nartiningrum & Arif Nugroho: Online Learning amidst Global Pandemic: EFL Students’ Challenges, Suggestions, and Needed Materials | 123 understanding about a particular phenomenon, in this context, the…”
- The dark side of the sharing economy: Balancing value co‐creation and value co‐destruction (2020, methodology): “A data triangulation strategy helps 9 gain a holistic perspective of the Barcelona case (Yin, 2015) using data from four sources, 10 namely: 1) secondary data provided by the Municipality of Barcelona, such as open 11 access destination information, legislative acts, local development plans,…”
- ‘Define, Explain, Justify, Apply’ (DEJA): An analytic tool for guiding qualitative research sample size (2021, background): “Both Cases 1 and 2 in the table above detail single embedded case studies (Yin, 2011) and the same data collection methods and instruments.”
- Exploring the alchemy of qualitative management research: Seeking trustworthiness, credibility and rigor through crystallization (2017, methodology): “Yin (2011) presents multiple sources of evidence as a basis for trustworthiness and credibility.”