Results 251 to 260 of about 5,578,457 (308)

Refractory Psychosis as a Red Flag for End of Life in Individuals With Dementia With Lewy Bodies: A Case Series and Re-analysis of Prior Qualitative Data. [PDF]

open access: yesAlzheimer Dis Assoc Disord
Armstrong MJ   +8 more
europepmc   +1 more source

Prompts, Pearls, Imperfections: Comparing ChatGPT and a Human Researcher in Qualitative Data Analysis. [PDF]

open access: yesQual Health Res
Wachinger J   +4 more
europepmc   +1 more source

Patient lived experiences of functioning and disability following lumbar discectomy: a secondary analysis of qualitative data. [PDF]

open access: yesBMC Musculoskelet Disord
Mistry J   +9 more
europepmc   +1 more source

Assessing qualitative data richness and thickness: Development of an evidence-based tool for use in qualitative evidence synthesis. [PDF]

open access: yesCochrane Evid Synth Methods
Ames HMR   +7 more
europepmc   +1 more source

Conceptualizing Qualitative Data

Qualitative Health Research, 2021
Qualitative research is practiced across diverse disciplines and contexts, and this produces a wide range of perspectives on the role of conceptualization and theory development. It also results in a hugely varied mix of submissions to qualitative research journals in terms of their level of conceptual elevation.
openaire   +3 more sources

Analyzing Qualitative Data

Proceedings of the 2017 ACM International Conference on Interactive Surfaces and Spaces, 2017
Evaluation is increasingly recognized as an essential component of HCI research. However, evaluation itself is a changing research area. In particular, the many variations of qualitative research are emerging as important empirical methods. This half-day tutorial is designed for beginning to intermediate audiences.
Sheelagh Carpendale   +3 more
openaire   +1 more source

Qualitative data cleaning

Proceedings of the VLDB Endowment, 2016
Data quality is one of the most important problems in data management, since dirty data often leads to inaccurate data analytics results and wrong business decisions. Data cleaning exercise often consist of two phases: error detection and error repairing.
Xu Chu, Ihab F. Ilyas
openaire   +1 more source

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