For this reason, the book should include a few more chapters so that course instructors can have more options for a semester-long... Overall, the chapters are well-organized and easy to follow with a working knowledge of basic stats. The biggest challenge faced when writing a book about research methods is the decision about what NOT to include. The book has a modular organization, with each chapter designed to be used for a different lecture. The content can also be updated to reflect new technological updates. An overview of theory, designs, sampling, data collection, data analysis, and ethics are provided. Specific groups of participants  (for example, women or children) should not be excluded from the research opportunities without a good scientific reason or a particular susceptibility to risk. This text is a nice overview of some of the key points in social science research. ��I�h� 1� ,.`Fl�!2A��ɚ!��p,h���5QH��s��`6���N��5�;�k�n��οv��]Xu,A�1q���y�+��k��ԅ�KX�.뷭����h���ál��N�h��r:=EP"����?�]޼�j������"e��送�8���@ (�(���lm*{��ޛ������`��֜�}����+� -R�� However, various chapters could also be used alone or as supplement to other materials and excluding chapters not relevant to a particular course should not cause any issues. Some examples include areas of social and political interest (conflict, crime), business and marketing, and social psychology. In some research texts examples are utilized but they may not necessarily be in the discipline that you are teaching. Anol Bhattacherjee, University of South Florida, Attribution-NonCommercial-ShareAlike The few examples used in the book are very general and not controversial. While it is certainly possible to break apart to teach the text in a different order than how the chapters are originally offered, the progression of the text from the introduction to the chapters on qualitative data analysis is both logical and clear.

I also think more about specific threats to internal and external validity should be provided, along with information about when and how certain threats are avoided. However, I do not expect this to be a huge problem for someone who wants to teach only a section of the book. The text seems comprehensive, covers a wide range of research approaches, and parts of the research process. Learning about methods is important, but not much is gained from that knowledge unless the student also learns how to execute at least some techniques. Occasionally I found what I thought was a topic covered only minimally in a chapter - but then found additional information in a later... There are useful definitions of key terms throughout the book, although none of the chapters go into much depth.

The organization of the text lends itself to be adapted to any introductory social science research methods course, regardless of what order the instructor wants to place the topics being discussed. One issue I had with the order of the chapters in the text was including Ethics at the end in the Epilogue as if it was an after thought. The text is generally free of grammatical and spelling errors, with the exception of 2 minor typos noticed on page 139 (“Rik”, “riska”). n�3ܣ�k�Gݯz=��[=��=�B�0FX'�+������t���G�,�}���/���Hh8�m�W�2p[����AiA��N�#8$X�?�A�KHI�{!7�.

I could certainly see this book being used as an accessible and low-stress introduction to the world of research methods in the social sciences. The content of the book is up-to-date. The text does not provide either an index or a glossary. More social... The textbook covers the majority of what would be expected for a research methods course. And in the unforeseeable situation where a new protocol or a new advance in either statistics or research warrants an update, I think the organization and the modular design will allow that to happen without major upheavals in the structure or arrangement of the text. I anticipate that undergraduates will also appreciate how concise the text is. The chapters are excellent stand alone essays that could be used interchangeably. This text is well written and I would recommend it to an individual looking for a bare bones book on basic research methods.

A glossary would be helpful as students often need to reference basic definitions as they learn these new concepts. Reviewed by Rachel Lucas-Thompson, Assistant Professor, Colorado State University on 12/5/16, As acknowledged by the author in the preface, this is intended as a survey book that doesn't cover all topics in great detail. There are a few important topics missing, however. The organization and sequence seems very logical. Still, I miss the comprehensive list of works cited at the end of the book, which I would add to a text that I create, since an e-text is not limited by the economics of physically-printed books. As mentioned above, the text is very well organized and flows naturally/logically. When necessary, it is cited appropriately. A sample syllabus for a graduate course on... This is appealing to me as an instructor so there is background information for the students. This book is organized into chapters, each of which could be used as the keystone reading for a given class session, and each chapter is broken down in easy-to-digest sections, making the book as accessible as possible. The table of content is clear and the chapters are organized in a logic order. To address this deficit, I have devoted entire chapters to topics such as “Thinking Like a Researcher” and “Theories in Scientific Research”, which are essential skills for a junior researcher.Second, the book is succinct and compact by design. Reviewed by Amy Thompson, Associate Professor, University of South Florida on 6/19/18, This text is a nice overview of some of the key points in social science research.

However, it may be clearer to have quantitative data analysis methods immediately follow quantitative data collection methods, and similarly for the qualitative data collection and analysis. Well, there are four key differences. Some areas for improvement would be to include historical scientific figures who are not all male, and link critical methodology in a clearer manner with specific critical and cultural examples of this form of research. Overall, this textbook is accurate but not perfect. This text spends more time with statistics than I include in a research course, but again, that can be omitted or just used for reference.

The terminology is consistent throughout. Some topics are covered in less detail than in some other books I've had the chance to read / review. read more. Visually this book is sparse, and it will require some effort on the part of the professor to make the content digestible in a classroom environment. Primarily due to the topic covered (research methods), I do not believe the text will become obsolete in a short period of time. I do see this more as a foundational reference for a graduate-level course than a self-study text though, and it has the feel of a reference work to it. However, it is much more brief, more concise, than traditional research methods texts for undergraduates – which the text does not claim to be. I would recommend discussing that topic earlier, together with research design, as many of these ethical issues and IRB requirements come up during research design phase. The only things that may need updating over time are any links that lead to pages that no longer exist. Scientific progress can occur only if students and academics around the world have affordable access to the best that science can offer, and this free book is my humble effort to that cause. You'll find yourself returning to the basics, and it gives strong foundations. Although each module is mostly self-contained, it is impossible not to refer to other chapters since research is an iterative process. 2y�.-;!���K�Z� ���^�i�"L��0���-�� @8(��r�;q��7�L��y��&�Q��q�4�j���|�9�� It does not contain a lot of the "bells and whistles" that the expensive traditional textbooks have (e.g. The interface is fine. The text is neither culturally insensitive nor offensive. There was one strange sentence when the author was trying to contrast a liberal to a conservative’s viewpoint on page 18 that made this reader feel a bit uncomfortable in how one ideological viewpoint was portrayed, but I’m not sure it was necessarily bias; perhaps just the writing was a bit heavy handed. I would like to see a more practical discussion of ANOVA, as it is a very commonly used statistical analysis tool. Likewise, single-subject designs are not mentioned at all. These topics may also be more discipline specific, where instructors of research classes can supplement with additional materials. One thing I would recommend adding is examples and cases. Overall, this book is easy to read and use. Bullet point lists are used infrequently, but appropriately. This book is based on my lecture materials developed over a decade of teaching the doctoral-level class on Research Methods at the University of South Florida. However, that also suggests that the arrangement and format remain predictable from the first page to the last, without any surprises in presentation or discourse. There is enough statistical explanation to avoid vague generalizations, but at points I expect it would overwhelm a beginner. However, this chapter would be easy to assign earlier in the semester.

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