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Qualitative research & evaluation methods

01 Jan 2002-Iss: 1
TL;DR: In this paper, conceptual issues and themes on qualitative research and evaluaton methods including: qualitative data, triangulated inquiry, qualitative inquiry, constructivism, constructionism, complexity (chaos) theory, qualitative designs and data collection, fieldwork strategies, interviewing, tape-recording, ethical issues, analysis, interpretation and reporting, observations vs. perceived impacts and utilisation-focused evaluation reporting.
Abstract: This book explains clearly conceptual issues and themes on qualitative research and evaluaton methods including: qualitative data, triangulated inquiry, qualitative inquiry, constructivism, constructionism, Complexity (chaos) theory, qualitative designs and data collection, fieldwork strategies, interviewing, tape-recording, ethical issues, analysis, interpretation and reporting, observations vs. perceived impacts and utilisation-focused evaluation reporting.
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Journal ArticleDOI
TL;DR: In this article, the contributing factors that form the overall cultural travel experience are studied in the context of tourism in many destinations. But, relatively little is known about the factors that contribute to the overall travel experience.
Abstract: Cultural tourism is a significant element of tourism for many destinations; nevertheless, relatively little is known about the contributing factors that form the overall cultural travel experience....

104 citations


Cites background from "Qualitative research & evaluation m..."

  • ...Patton (2002) stated that no rules are essentially required for sample size in qualitative inquiry....

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Journal ArticleDOI
TL;DR: It is found that race as a social construct has the potential to influence key domains of patient trust, the relationship between patient trust and shared decision-making is bidirectional in nature, and enhancing patient trust may potentially increase or decrease SDM among African-Americans with diabetes.
Abstract: This study explores patient trust in physicians and its relationship to shared decision-making (SDM) among African-Americans with diabetes (types 1 and 2). We conducted a series of focus groups (n = 27) and in-depth interviews (n = 24). Topic guides were developed utilizing theoretical constructs. Each interview was audiotaped and transcribed verbatim. Each transcript was independently coded by two randomly assigned members of the research team; codes and themes were identified in an iterative fashion utilizing Atlas.ti software. The mean age of study participants was 62 years and 85% were female. We found that (1) race as a social construct has the potential to influence key domains of patient trust (interpersonal/relationship aspects and medical skills/technical competence), (2) the relationship between patient trust and shared decision-making is bidirectional in nature, and (3) enhancing patient trust may potentially increase or decrease SDM among African-Americans with diabetes. Mistrust of physicians among African-Americans with diabetes may partially be addressed through (1) patient education efforts, (2) physician training in interpersonal skills and cultural competence, and (3) physician efforts to engage patients in SDM. To help enhance patient outcomes among African-Americans with diabetes, physicians might consider incorporating strategies to simultaneously engender their patients' trust and encourage shared decision-making.

104 citations


Cites methods from "Qualitative research & evaluation m..."

  • ...After receiving approval from the institutional review board (IRB), participants were recruited using criterion sampling (Patton, 2002)....

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Proceedings ArticleDOI
04 Jan 2017
TL;DR: The aim of this paper is the scientific development of a maturity model concerning the digital transformation of companies within the manufacturing industry’s supply chain by addressing fundamental components, complementary innovations and relevant terminologies, like smart products, Cyber-Physical Systems (CPS) and Big Data Analytics.
Abstract: The aim of this paper is the scientific development of a maturity model concerning the digital transformation of companies within the manufacturing industry’s supply chain. The rather “broad” and dispersed “mega-trend” of digitalization is expected to play an increasingly important role for companies as well as for the (digital) supply chain of the future. Such a model comprises the objective of addressing fundamental components, complementary innovations and relevant terminologies, like smart products, Cyber-Physical Systems (CPS) and Big Data Analytics. Scientific rigor is achieved through conducting grounded theory research and in-depth interviews as methods of data collection and evaluation. Furthermore, relevant aspects concerning the development and construction of maturity models are discussed, before a suitable and scientifically elaborated maturity model concerning digitalization emerges from the course of investigation and its value for economic practice as well as for the scientific community is specified.

104 citations


Cites background from "Qualitative research & evaluation m..."

  • ...rich discussions about issues of central importance to the purpose of our investigation [25]....

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Journal ArticleDOI
TL;DR: Examination of patients’ cognitive processes while completing the ESAS revealed a need to emphasize the timeframe as “now”, and further study in other populations is needed.
Abstract: Goals of work The Edmonton Symptom Assessment System (ESAS) is a tool for self-reporting of symptom intensity, initially developed for advanced cancer patients. It consists of numerical rating scales for nine common symptoms, with the option of adding a tenth. Despite its widespread use in palliative care, few studies have focused on its psychometric properties, with none involving patient perspectives. The purpose of this study was to gather validity evidence for the ESAS, by examining patients’ cognitive processes while completing the ESAS, understanding of terminology and numerical ratings, and opinions of the ESAS as a self-reporting tool.

103 citations