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Книга Data Analysis and Methods of Qualitative Research Madondo Silas Memory Madondo

Data Analysis and Methods of Qualitative Research

Emerging Research and Opportunities

Автор: Madondo Silas Memory Madondo
Език: Английски език
Корици: С твърди корици
Издател: IGI Global
Наличност: Външен склад
Изпращаме след 10-18 дни
196.26 € 383.85 лв
An intellectual property discussion is central to qualitative research projects, and ethical guideli...

Информация за книгата

Автор
Madondo Silas Memory Madondo
Език
Английски език
Корици
Книга - С твърди корици
Издадена
2021
страници
249
EAN
9781799885498
ISBN
1799885496
Enbook ID
35518874
Издател
IGI Global
Теглоt
633
Размери
178 x 254 x 19

Пълно описание

An intellectual property discussion is central to qualitative research projects, and ethical guidelines are essential to the safe accomplishment of research projects. Undertaking research studies without adhering to ethics may be dangerous to researchers and research subjects. Therefore, it is important to understand and develop practical techniques for handling ethics with a specific focus on qualitative projects so that researchers conducting this type of research may continue to use ethical practices at every step of the project. Data Analysis and Methods of Qualitative Research: Emerging Research and Opportunities discusses in detail the methods related to the social constructionist paradigm that is popular with qualitative research projects. These methods help researchers undertake ideal qualitative projects that are free from quantitative research techniques/concepts all while acquiring practical skills in handling ethics and ethical issues in qualitative projects. The chapters each contain case studies, learning outcomes, question and answer sections, and discuss critical research philosophies in detail along with topics such as ethics, research design, data gathering and sampling methods, research outputs, data analysis, and report writing. Featuring a wide range of topics such as epistemology, probability sampling, and big data, this book is ideal for researchers, practitioners, computer scientists, academicians, analysts, coders, and students looking to become competent qualitative research specialists.

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