Descriptive Versus Interpretive Phenomenology: Their Contributions to Nursing Knowledge

By Kay A. Lopez, Danny G. Willis. Qualitative Health Research, 2004

1,575 citations recorded by the source corpus.

Subfields: General Health Professions, Public Health, Environmental and Occupational Health, Philosophy

View Paper: https://www.semanticscholar.org/paper/64aedb2b221f1f9fc6ca1478a6299eec91a14778

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In General Health Professions

In Public Health, Environmental and Occupational Health

In Philosophy

Citations in the corpus

Engineering Students' Perceptions of Problem Solving and Their Future (2018, methodology): “The discussion of quality in phenomenology and IPA is currently undergoing a transformation in communities ranging from nursing (Lopez & Willis, 2004) to education (De Witt & Ploeg, 2006; Smith et al., 2009).”
Theme development in qualitative content analysis and thematic analysis (2016, background): “Each theme may have some subthemes as subdivisions to obtain a comprehensive view of data and uncovers a pattern in the participants’ account.[23, 24]”
Exploring analytical trustworthiness and the process of reaching consensus in interpretative phenomenological analysis: lost in transcription (2015, background): “As such, although ‘bracketing’ prior experience in order to prevent it from colouring interpretation or making one’s preconceptions explicit (Lopez & Willis, 2004) is recommended to ensure trustworthiness, this is an issue which authors have tended to address in a superficial manner.”
“Beyond words”: a researcher’s guide to using photo elicitation in psychology (2017, background): “Consequently, as with all methodological decisions, researchers should ensure their epistemological values are in line with their methods and analysis (Lopez and Willis, 2004).”
Phenomenology (2007, neutral): “Beck (1992), Lopez and Willis (2004), and SwansonKauffman and Schonwald (1988) suggested that descriptive phenomenology is more useful for inquiry that aims to discover universal aspects of a phenomenon that were never conceptualized or incompletely conceptualized in prior research.”
Bracketing in Phenomenology: Only Undertaken in the Data Collection and Analysis Process? (2013, background): “In order to discover meanings in the data, one needs an attitude open enough to let unexpected meanings emerge (Giorgi, 2011; Lopez & Willis, 2004).”