Results 61 to 70 of about 14,111,173 (206)
Mixed methods in health care research. Paradigms and philosphy [PDF]
When to use mixed methods is one of the most challenging issues that health care researchers currently face. The predominance of quantitative methods have not been enough to respond to many relevant questions on health care, that need a multiple approach.
Kendall, Sally
core
College students' justification for digital piracy: a mixed methods study
Click on the DOI link to access the article (may not be free).A mixed methods project was devoted to understanding college students' justification for digital piracy.
Yu, Sz De
core +1 more source
Using NVivo for mixed methods research
NVivo is software designed to support analysis of qualitative and mixed methods data. It belongs to the “theory-building” class of qualitative data analysis programs (Tesch, 1990) as it goes beyond providing basic tools for data management, word ...
Bazeley, Pat (R13373)
core +1 more source
Research Methods: Mixed Methods Research.
No abstract.
Virginia Wilson
doaj +3 more sources
Despite growing awareness of the emotional challenges faced by engineering students and their impact on academic performance and retention, the field lacks validated tools to systematically assess affective states in theoretically grounded ways.
Gibin Mannathikulathil Raju +2 more
doaj +1 more source
COVID Watch is a remote patient monitoring program implemented during the pandemic to support home dwelling patients with COVID-19. The program conferred a large survival advantage.
Krisda H. Chaiyachati +20 more
doaj +1 more source
ABSTRACT Background and Aims Infant bone and soft tissue neoplasms present distinct clinical challenges and lack large‐scale data to inform treatment decisions. This study aims to characterize bone and soft tissue neoplasms in infants in Canada and to compare their outcomes with those of older pediatric patients.
Samuel Sassine +21 more
wiley +1 more source
Kartierung der europäischen Bildungsforschungslandschaft durch Topic Modelling
Latent-Dirichlet-Allocation (LDA) ist eine Machine-Learning-Methode zur Themenmodellierung (engl. Topic Modelling) grosser Textkorpora (d. h. zur Bestimmung latenter Begriffs- und Dokumentencluster, sog. Themen).
Alexander Christ +2 more
doaj +1 more source
ABSTRACT The medical burdens of sickle cell disease (SCD) and transfusion‐dependent β‐thalassemia (TDT) are chronic and cumulative, even in children. Yet the effects expand beyond medications and healthcare visits due to their impacts on school attendance, academic performance, and peer engagement.
Mary Ann Etling +2 more
wiley +1 more source
Wie KI-Systeme über Bildung denken
Die zunehmende Integration von Large Language Models (LLMs) in Bildungskontexte wirft die Frage auf, welche bildungstheoretischen Annahmen in diesen Systemen angelegt sind.
Daniel Autenrieth
doaj +1 more source

