Buch, Englisch, 388 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 668 g
Qualitative, Quantitative, and Mixed Methods Approaches
Buch, Englisch, 388 Seiten, Format (B × H): 170 mm x 244 mm, Gewicht: 668 g
ISBN: 978-1-032-97316-6
Verlag: Routledge
Social Research Methods and Applications is a comprehensive reference and inclusive account of social research methods covering all aspects of qualitative, quantitative, and mixed-method research methodology. The book walks researchers and students through every step of the research process, from developing objectives, selecting research methodologies, sampling, and providing tips on properly collecting, analyzing, interpreting data, and disseminating findings explains how researchers can apply advanced analytical techniques using big data to analyze and interpret the social sector; provides a detailed guide to using software-assisted data analytical techniques for qualitative (ATLAS.ti, NVivo, etc.) and quantitative research (STATA and SPSS); details how social research methods and techniques can be applied; and provides a complete account of monitoring and evaluation and how this can help track the progress and success of a project. The book teaches the application of social research methods and techniques that integrate techniques from management and other social streams, ranging from CBA, LFA, and SWOT analysis to EIA. It is designed to serve as a definitive guide to undergraduate, graduate, and postgraduate students across the social sciences, especially early researchers looking for a handy guide to research methodology. Additionally, it is a handy reference for professional researchers and academicians.
Zielgruppe
Postgraduate and Professional Reference
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Social Research: Introduction and Overview 2. Research Process 3. Sampling And Sample Size Estimation 4. Qualitative Research 5. Qualitative Data Analysis 6. Qualitative Data Analysis Using Software 7. Quantitative Research and Data Analysis 8. Mixed Methods Approach 9. Data Analysis Using Quantitative Software 10. Multivariate And Advanced Data Analytics Techniques 11. Social Research Techniques and Application 12. Summary and Conclusion