985 resultados para qualitative data


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Class exercise to analyse qualitative data mediated on use of a set of transcripts, augmented by videos from web site. Discussion is around not only how the data is codes, interview bias, dimensions of analysis. Designed as an introduction.

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Abstract This seminar is a research discussion around a very interesting problem, which may be a good basis for a WAISfest theme. A little over a year ago Professor Alan Dix came to tell us of his plans for a magnificent adventure:to walk all of the way round Wales - 1000 miles 'Alan Walks Wales'. The walk was a personal journey, but also a technological and community one, exploring the needs of the walker and the people along the way. Whilst walking he recorded his thoughts in an audio diary, took lots of photos, wrote a blog and collected data from the tech instruments he was wearing. As a result Alan has extensive quantitative data (bio-sensing and location) and qualitative data (text, images and some audio). There are challenges in analysing individual kinds of data, including merging similar data streams, entity identification, time-series and textual data mining, dealing with provenance, ontologies for paths, and journeys. There are also challenges for author and third-party annotation, linking the data-sets and visualising the merged narrative or facets of it.

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Qualitative research is a research strategy used to analyze the reality. When applied to consumer psychology, it allows a deeper knowledge about consumer’s behavior and associated emotions and motivations. Qualitative research goes beyond the description of buyers’ behavior and shows information about how and why that behavior is produced.The purpose of this paper is to demonstrate how qualitative research is relevant for the knowledge and the understanding of consumers’ behavior and how, through its techniques, it approaches the consumer’s socio-cultural reality and provides an interpretation of it. The present paper resumes the key aspects of qualitative research, mentioning its related antecedents of its contributions to the marketing and explaining the four most applied techniques in consumer psychology (interviews, focus group, ethnography and observation); moreover, it also studies the way to carry them out and gives some examples of some of the market issues which it can analyze. Finally, we take up again the qualitative data analysis as one of the most relevant topics because it produces important information for the decision making process related to the consumer. In addition, we explain the steps, strategies, types and technological tools to carry it out. 

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Smart healthcare is a complex domain for systems integration due to human and technical factors and heterogeneous data sources involved. As a part of smart city, it is such a complex area where clinical functions require smartness of multi-systems collaborations for effective communications among departments, and radiology is one of the areas highly relies on intelligent information integration and communication. Therefore, it faces many challenges regarding integration and its interoperability such as information collision, heterogeneous data sources, policy obstacles, and procedure mismanagement. The purpose of this study is to conduct an analysis of data, semantic, and pragmatic interoperability of systems integration in radiology department, and to develop a pragmatic interoperability framework for guiding the integration. We select an on-going project at a local hospital for undertaking our case study. The project is to achieve data sharing and interoperability among Radiology Information Systems (RIS), Electronic Patient Record (EPR), and Picture Archiving and Communication Systems (PACS). Qualitative data collection and analysis methods are used. The data sources consisted of documentation including publications and internal working papers, one year of non-participant observations and 37 interviews with radiologists, clinicians, directors of IT services, referring clinicians, radiographers, receptionists and secretary. We identified four primary phases of data analysis process for the case study: requirements and barriers identification, integration approach, interoperability measurements, and knowledge foundations. Each phase is discussed and supported by qualitative data. Through the analysis we also develop a pragmatic interoperability framework that summaries the empirical findings and proposes recommendations for guiding the integration in the radiology context.

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Purpose: To investigate the relationship between research data management (RDM) and data sharing in the formulation of RDM policies and development of practices in higher education institutions (HEIs). Design/methodology/approach: Two strands of work were undertaken sequentially: firstly, content analysis of 37 RDM policies from UK HEIs; secondly, two detailed case studies of institutions with different approaches to RDM based on semi-structured interviews with staff involved in the development of RDM policy and services. The data are interpreted using insights from Actor Network Theory. Findings: RDM policy formation and service development has created a complex set of networks within and beyond institutions involving different professional groups with widely varying priorities shaping activities. Data sharing is considered an important activity in the policies and services of HEIs studied, but its prominence can in most cases be attributed to the positions adopted by large research funders. Research limitations/implications: The case studies, as research based on qualitative data, cannot be assumed to be universally applicable but do illustrate a variety of issues and challenges experienced more generally, particularly in the UK. Practical implications: The research may help to inform development of policy and practice in RDM in HEIs and funder organisations. Originality/value: This paper makes an early contribution to the RDM literature on the specific topic of the relationship between RDM policy and services, and openness – a topic which to date has received limited attention.

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Background Despite the promising benefits of adaptive designs (ADs), their routine use, especially in confirmatory trials, is lagging behind the prominence given to them in the statistical literature. Much of the previous research to understand barriers and potential facilitators to the use of ADs has been driven from a pharmaceutical drug development perspective, with little focus on trials in the public sector. In this paper, we explore key stakeholders’ experiences, perceptions and views on barriers and facilitators to the use of ADs in publicly funded confirmatory trials. Methods Semi-structured, in-depth interviews of key stakeholders in clinical trials research (CTU directors, funding board and panel members, statisticians, regulators, chief investigators, data monitoring committee members and health economists) were conducted through telephone or face-to-face sessions, predominantly in the UK. We purposively selected participants sequentially to optimise maximum variation in views and experiences. We employed the framework approach to analyse the qualitative data. Results We interviewed 27 participants. We found some of the perceived barriers to be: lack of knowledge and experience coupled with paucity of case studies, lack of applied training, degree of reluctance to use ADs, lack of bridge funding and time to support design work, lack of statistical expertise, some anxiety about the impact of early trial stopping on researchers’ employment contracts, lack of understanding of acceptable scope of ADs and when ADs are appropriate, and statistical and practical complexities. Reluctance to use ADs seemed to be influenced by: therapeutic area, unfamiliarity, concerns about their robustness in decision-making and acceptability of findings to change practice, perceived complexities and proposed type of AD, among others. Conclusions There are still considerable multifaceted, individual and organisational obstacles to be addressed to improve uptake, and successful implementation of ADs when appropriate. Nevertheless, inferred positive change in attitudes and receptiveness towards the appropriate use of ADs by public funders are supportive and are a stepping stone for the future utilisation of ADs by researchers.

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The size and complexity of data sets generated within ecosystem-level programmes merits their capture, curation, storage and analysis, synthesis and visualisation using Big Data approaches. This review looks at previous attempts to organise and analyse such data through the International Biological Programme and draws on the mistakes made and the lessons learned for effective Big Data approaches to current Research Councils United Kingdom (RCUK) ecosystem-level programmes, using Biodiversity and Ecosystem Service Sustainability (BESS) and Environmental Virtual Observatory Pilot (EVOp) as exemplars. The challenges raised by such data are identified, explored and suggestions are made for the two major issues of extending analyses across different spatio-temporal scales and for the effective integration of quantitative and qualitative data.

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This article presents an examination of the use of Rasch modelling in a major research project, 'Improving Middle Years Mathematics and Science' (IMYMS). It is unarguable that it is important to take students' perceptions, or views, into account when planning learning and teaching for them. The IMYMS student perceptions survey is an attempt to make visible these student viewpoints, and report them in a way that is accessible to teachers and researchers involved in the project. The project involves four clusters of schools from urban and regions of Victoria to investigate the role of mathematics and science knowledge and subject cultures in mediating change processes in the middle years of schooling. There are five secondary and twenty-eight primary schools. The project has generated both qualitative and quantitative data, with much of the qualitative data being ordinal in nature. Reporting the results of analyses for a range of audiences necessitates careful, well-designed report formats. Some useful new report formats based on Rasch modeling -the Modified Variable Map, the Ordinal Map, the Threshold Map, and the Annotated Ordinal Map - are illustrated using data from the IMYMS project. The Rasch analysis and the derived reporting formats avoid the pitfalls that exist when working with ordinal data and provide insights into the respondents' views about their experiences in schools unavailable by other approaches.

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Physical activity (PA) has consistently been shown to improve ones' physical, social and mental health. Hence, the rationale for promoting regular physical activity is relatively straightforward. However, what is less clear from the literature is the mix of strategies, (i.e. 'what is working and why?'), to increase in physical activity levels within a population. Of particular interest to primary care is the concept of Physical Activity Prescription Programs (PAPPs) delivered by general practitioners (GPs).

Several examples of a PAPP exist within England, America, New Zealand and Australia. These all aim to encourage GPs to deliver physical activity advice to their patients effectively and in a timely manner. Notwithstanding, the authors of a recent review of published literature on PAPPs, reveal a deficit of evidence regarding the components for successful PA interventions.

This research through an ethnographic enquiry aims to build on the evidence formulated to date. Through a case study research design, the researcher has developed a methodology to define what is/is not working within this recent trend.

In two rural Divisions of GP, participants have been identified as key stakeholders in the implementation of a PAPPs. They are categorised according to three theoretical paradigms, namely, Policy Makers, Linkers and Adaptors. Following this the three paradigms will be studied on the contextual factors, the characteristics and behaviours of members within all three paradigms. The study has also further defined certain elements for investigation, these include the:
intention of the players
effort undertaken by players, and
effect of parties within.

Primarily qualitative data will be collected; through Desk Analysis (Policies, Strategic and Business plans), Site Visits (Participant Observation) and semi-structured interviews. This presentation defines a qualitative framework and methodology for investigating the outcome of programs that historically has been evaluated using quantitative measures. Hence, the author of this study aims to present a qualitative investigation and subsequent results, defining aspects of a PAPP that allow for successful and sustainable implementation.

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Conventional methods of qualitative data analysis require transcription of audio-recorded data prior to conduct of the coding and analysis process. In this paper Alison Hutchinson describes and illustrates an innovative method of data analysis that comprises the use of audio-editing software to save selected audio bytes from digital audio recordings of meetings. The use of a database to code and manage the linked audio files and generate detailed and summary reports, including reporting of code frequencies according to participant code and/or meeting, is also highlighted. The advantage of using this approach in the analysis of audio-recorded data is that the process may be undertaken in the medium in which the data were collected. Though time-consuming, this process negates the need for expensive and time intensive transcription of recorded data.

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The dataset consists of data gathered from Deakin University staff and students.

Staff-derived data consists of qualitative data relating to advantages and disadvantages of teaching online; manifestation of cultural diversity in online learning environments; strategies to accommodate cultural diversity online; and using online environments to support cultural diversity

Student-derived data consists of quantitative and qualitative data relating to student perceptions of online learning; student demographics; student expectations of their university experience; students' approach to learning and online learning; perceptions of online learning and online team work; and perceptions of student and teacher roles at university.

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In the spirit of the 25th anniversary edition of The Leadership Quarterly, as the world's premier outlet for leadership research, we have reviewed qualitative and historiometric research across those 25. years. Qualitative research is a complex and cluttered area of scholarship. This is not because there is an inherent confusion about it. Rather, it is because 'qualitative' research is a cover-all term for a wide range of research strategies, paradigms, parent disciplines, sources of data, and methods of analysis for them. More so than in previous journal review articles, we explored variation in qualitative analysis as well as variety in qualitative data. In terms of methodologies, our efforts concentrated on case study, content analysis, grounded theory and historiometrics. We also examined trends toward post-positivism, post-modernity and liquid modernity, and their resultant benefits for researching leadership. Future directions for leadership research are posited. © 2013 Elsevier Inc.

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We present and explore a follower-centric model of how employees perceive the emotional intelligence (EI) of change leaders. Qualitative investigations of EI are rare and have not explored the field of organizational change leadership. Accordingly, we analyse qualitative data from a series of interviews set within the context of organizational change. We examine follower attributions about the abilities of their leaders to manage and express their own emotions and to respond appropriately to the followers' emotions. The findings reveal that the ways in which leaders deal with emotion might be the key to followers sharing their own emotions with them. The impact of perceived leader EI on follower responses to change is also discussed. The complexity and ambivalence of our participants' perceptions of the EI of their change leaders highlight the utility of a qualitative investigation. © The Author(s) 2011.

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BACKGROUND: Evidence suggests physical activity often declines during pregnancy, however explanations for the decline are not well understood. The aim of this study was to identify modifiable barriers to leisure-time physical activity among women who did not meet physical activity guidelines during pregnancy. METHODS: Analyses were based on data from 133 mothers (~3-months postpartum) who were recruited from the Melbourne InFANT Extend study (2012/2013). Women completed a self-report survey at baseline in which they reported their leisure-time physical activity levels during pregnancy as well provided an open-ended written response regarding the key barriers that they perceived prevented them from meeting the physical activity guidelines during their pregnancy. Thematic analyses were conducted to identify key themes. RESULTS: The qualitative data revealed six themes relating to the barriers of leisure-time physical activity during pregnancy. These included work-related factors (most commonly reported), tiredness, pregnancy-related symptoms, being active but not meeting the guidelines, lack of motivation, and a lack of knowledge of recommendations. CONCLUSION: Considering work-related barriers were suggested to be key factors to preventing women from meeting the physical activity guidelines during pregnancy, workplace interventions aimed at providing time management skills along with supporting physical activity programs for pregnant workers should be considered. Such interventions should also incorporate knowledge and education components, providing advice for undertaking leisure-time physical activity during pregnancy.

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BACKGROUND: Pregnancy provides an interesting challenge to body image theories in that the natural physiological changes push women further from the socioculturally prescribed thin ideal which these theories hinge upon. The impact that these significant physiological changes have on the woman's body image during pregnancy may depend on the extent to which they retain or revise the ideal. However, little is known about body image experiences during pregnancy. AIM: To provide a comprehensive exploration of the body image experiences of pregnant women. METHODS: Individual structured interviews were conducted with 19 currently pregnant women. Transcriptions were analysed using a thematic content analysis approach. FINDINGS: Themes extracted from the qualitative data included: (1) women's body image experiences during pregnancy were complex and changing, and shaped by the salience of specific body parts, the women's expectations for future changes to their body within the perinatal period, the functionality of the body, and their experience of maternity clothing, (2) women were able to negotiate the changes to their bodies as they recognised the functionality of the pregnant body, (3) women were surprised by the public nature of the pregnant body, (4) partner support and positive feedback about the pregnant body was highly valued, and (5) the importance of open communication around weight and body image in antenatal healthcare. DISCUSSION: Our findings highlight the need for the adaptation and expansion of existing body image theories to be used as a framework for women's experiences of pregnancy.