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Social Research Methods 4th ed. P 808 p. 12

Bryman, Alan  著

 絶版
       
価格 特価  \10,204(税込)         

発行年月 2012年03月
出版社/提供元
出版国 イギリス
言語 英語
媒体 冊子
装丁 paper
ページ数/巻数 98 illus.
ジャンル 洋書/社会科学/社会科学一般/社会科学一般
ISBN 9780199588053
商品コード 1003094143
新刊案内掲載月 2011年10月
商品URL
参照
https://kw.maruzen.co.jp/ims/itemDetail.html?itmCd=1003094143

内容

Studying a social science degree? Need to know how to develop your research methods and write up your results more effectively? In the fourth edition of this lively and engaging textbook, Alan Bryman presents students with an updated and all-encompassing guide to the principle techniques and methodology in the field of Social Research. Adopting a coherent and student-friendly format, the book offers an encyclopaedic introduction to social research methodology, and considers a broad range of qualitative and quantitative methods to help students identify and evaluate the best approach for their research needs. Building on the success of the previous editions, this book is concerned with the ways that social researchers approach their craft. Bryman guides the reader through all aspects of the research process including formulating objectives, choosing research methods, securing research participants, as well as advice on how to effectively collect, analyse and interpret data and disseminate those findings to others. This fourth edition features a new 'supervisor experience' feature, which offers helpful tips from the supervisor's perspective on successful research, as well as a new chapter which tackles the sampling issues faced by qualitative researchers in a more consolidated fashion than in previous editions. Substantial updates have also been made to the existing material, particularly the internet research section, which has been fully revised to accommodate the extensive developments in this area. An Online Resource Centre accompanies the text and includes: For students: A student researcher's toolkit, providing guidance and advice on every aspect of social research Student experience podcasts Self-marking multiple choice questions for revision Annotated web links to useful articles, reviews, models and research guides A guide to using Excel in data analysis For lecturers: A lecturer's guide including lecture outlines, reading lists and teaching activities A suite of customisable PowerPoint slides Figures and tables from the text Case studies

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