An Introduction to Qualitative Research

Defining qualitative research The historical development of qualitative research Key philosophical and methodological issues in qualitative research The 'approach' within this book Theoretical and applied research The functions of qualitative research The functions of different qualitative methods Combining qualitative and quantitative methods Key points Key terms Further reading 3 Design Issues Jane Lewis Defining the research questions Building design around research settings and populations Selecting the time frame for research vi QUALITATIVE RESEARCH PRACTICE Choosing a data collection method 56 Negotiating research relationships 62 Resourcing and timetabling qualitative research studies 71 Key points 74 Key terms 75 Further reading 76

INTRODUCING QUALITATIVE METHODS provides a series of volumes which introduce qualitative research to the student and beginning researcher. The approach is interdisciplinary and international. A distinctive feature of these volumes is the helpful student exercises. One stream of the series prov1des texts on the key methodologies used in qualitative research. The other stream contains books on qualitative research for different disciplines or occupations. Both streams cover the basic literature in a clear and accessible style, but also cover the 'cutting edge' 1ssues in the area.

These were notes employed for an introductory course for postgraduate students

This course will provide experiences that will help you  understand theoretical and methodological traditions that guide contemporary interpretive and critical research in education  think creatively and collaboratively about interpretive/critical research design and analysis issues  critically examine your own personal and professional values as an aspect of your work as a researcher  learn how to engage in fieldwork and other data collection activities in an ethical and defensible manner  learn about and practice data collection techniques  learn about and practice strategies for analyzing and interpreting qualitative data  develop an awareness of technologies for data analysis  learn about a range of knowledge representation forms

International Journal of Scientific Research in Science and Technology, 2014

In the era of big data, the exponential growth of data poses significant challenges for storage, leading many entities to migrate their data to cloud storage services. While cloud storage offers numerous advantages, it also introduces substantial risks, including the potential loss or unauthorized modification of data by service providers. The extensive data gathered in the cloud, originating from various datasets and storage devices necessitates a thorough analysis of storage performance. Each data instance is defined by specific features, while devices are characterized by their hardware or software components. General restrictions for data allocation and device capacity are also considered. The computation of structural constraints is based on the interactions between cloud-based devices and data instances. In order to address these issues, we introduce a hybrid artificial intelligence approach that is lightweight and ideal for constraint optimization. It focuses on auditable secure cloud storage with dynamic data. Our approach begins with the development of the enhanced electric fish optimization (EEFO) algorithm for constraints optimization to ensure the integrity of data stored in the cloud. To accommodate dynamic data operations, including block modification, insertion, and deletion, we employ the triple tree-seed algorithm (TTSA) to record the location of each data operation within the system. The proposed model's performance is validated, and results are systematically analyzed, compared against existing approaches, demonstrating its effectiveness in appropriately managing cloud data.

2018

Wind power is expanding globally. Simultaneously, a growing number of conflicts against large-scale wind farms are emerging in multiple locations around the world. As these processes occur, new questions arise on how electricity from wind is being generated, how such energy is flowing within societies, and how these production-flows are being shaped by specific power structures. The present paper explores the expanding geography of wind energy conflicts by analyzing 20 case studies from across the Americas, Africa, Asia and Europe. Based on the Environmental Justice Atlas database, it reflects on how land pressures and patterns of uneven development emerge as two features of the current expansion of wind farms. Following a relational analysis, these patterns are examined to interpret the plural instances of opposition emerging throughout the rural spaces of the world. The article argues that previously unexplored forms of collective action are expanding the scope and content of the “wind energy debate”. In addition to the claims of “landscape” and “wildlife protection” addressed by the existing literature, this study sheds light on the rural/peripheral contexts where opposition emerges through the defense of indigenous territories, local livelihoods and communal development projects. The study contends that these “emerging storylines” embrace an environmental justice perspective when challenging the socially unequal and geographically uneven patterns reproduced by the ecological modernization paradigm. From this lens, cases of local opposition are not interpreted as selfish forces blocking a low-carbon transition, but instead, are understood as political instances that enable a wider discussion about the ways such transition should take place.