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Research Methods & Data Analysis for Multicultural Social Work and Human Services, Paperback
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Equips readers with the skills needed to become critical research consumers and to engage in agency-based research and evaluation.
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Produktdetaljer
| Manual & guide type | Instruction Manual |
| Book format | Paperback |
| Edition | 2nd Edition |
| Pages | 340 |
| Language | English |
| Brand | Thanh V Tran |
| Pub date | 2016-08-09 |
| Author | Cognella Academic Publishing |
| Subgenre | Social Work |
| Genre | Political & Social Sciences |
| Bisac subject heading | Social Science |
| Series title | No Series |
| Height | 10 in (25.4 cm) |
| Educational level | College |
| Age group | Adult |
| Retail packaging | Single Piece |
| Original languages | English |
| Item Weight | 1 lbs (450 grams) |
Hvem bør købe?
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Social Work Students
Ideal for students seeking foundational knowledge in research methods applicable to multicultural social work practices.
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Human Services Professionals
Beneficial for practitioners needing updated data analysis techniques to address diverse populations effectively.
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Academics and Researchers
Useful for educators and researchers interested in multicultural perspectives in social work research methodologies.
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General Audiences
May not be suitable for those without a background in social work or human services training.
Produktbeskrivelse
Research Methods & Data Analysis for Multicultural Social Work and Human Services, Paperback
About This Item
Are you looking for a comprehensive guide to conducting research and analyzing data in the field of multicultural social work and human services? Look no further than the second edition of "Research Methods & Data Analysis for Multicultural Social Work and Human Services." This edition serves as an essential resource for professionals and students looking to enhance their understanding of research methods and data analysis specifically tailored to the context of multicultural social work and human services. Packed with valuable insights and practical tips, this book offers a comprehensive overview of the research process from start to finish. With a focus on multicultural perspectives, this book provides readers with the necessary tools to conduct culturally sensitive research and collect meaningful data. Understanding the unique challenges and opportunities present when working with diverse populations is crucial, and this edition aims to equip readers with the knowledge and skills to address these complexities effectively. The second edition of "Research Methods & Data Analysis for Multicultural Social Work and Human Services" covers a wide range of topics, including qualitative and quantitative research methods, ethical considerations, data collection and analysis techniques, and reporting findings.
The authors have carefully curated the content to ensure relevance and applicability to the field, making it an invaluable resource for both beginners and experienced researchers. By using this book, you will gain a deeper understanding of how to design studies that are culturally responsive, collect and analyze data that accurately reflects the experiences of diverse populations, and use research findings to inform practice and policy in multicultural social work and human services. Whether you are a social work practitioner, researcher, or student, "Research Methods & Data Analysis for Multicultural Social Work and Human Services" is an indispensable tool that will empower you to conduct rigorous research and contribute to the advancement of knowledge in this important field. Get your copy today and take your research skills to the next level.
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Thanh V Tran All Manuals & Guides Editorial Review
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Egenskaber og fordele
- Introduction to research methodology for social work students and practitioners
- Hands-on examples for data analysis in SPSS and Stata
- Teaches how to collect and analyze appropriate data for various research designs
- Prepares for applied social science research in diverse fields
- Covers topics like research process, ethical issues, research instrument validity, design types, and statistical tools
- Solid foundation and knowledge base for students and researchers
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