The book is very clear and accessible. Not just the current edition but all future editions in perpetuity. Students would be more likely to read assigned chapters and understand the material presented if the examples were relevant to their profession. Perhaps the print copy is clearer. It helps them to think about the various theories and approaches available to them in terms of the angle, focus and methodology selected. Because the book is concise, I would recommend its use in addition to other supplementary resources such as class lectures, academic articles that demonstrate the methods discussed in the textbook, and projects that allow students to experience the methods first-hand. Technical terminology is explained appropriately. I have mixed feeling on the image on the cover and the limited visuals within the book. I did not notice any offensive comments or examples. That being said, the text recommends SPSS and SAS as software to use while neglecting free options (like R) or more ubiquitous programs (like Excel). Specifically, I find that the book provides a very comprehensive introduction to research philosophy and research designs, particularly in addressing how to come up with research questions, which is often a challenge for new doctoral students. WebMethods of Data Collection Calculus Absolute Maxima and Minima Absolute and Conditional Convergence Accumulation Function Accumulation Problems Algebraic Functions Alternating Series Antiderivatives Application of Derivatives Approximating Areas Arc Length of a Curve Area Between Two Curves Arithmetic Series Average Value of a I would prefer ethics was near the start of the text, rather than an epilogue; our course is arranged to require students to complete ethics training before they may pursue later assignments. However, as mentioned above, this problem can be solved by adapting additional readings. I would like to see the subheadings being numbered as well. This book can work in a number of ways. The discussion on research ethics is certainly a nice addition to the book where many other research methods texts lack. The relevance and longevity are strong. Some of the most sophisticated software programs available today, like Linux and Apache, are also free, and so is this book.Fourth, I plan to make local-language versions of this book available in due course of time, and those translated versions will also be free. It follows the research process from critical thinking, conceptualization, to operationalization/measurements, research design, data collection, and data analysis. The topics generally flow well as presented; the only exception is having the section on research ethics at the end. In general the organization makes sense; the only exception is having research ethics as an epilogue, when ethical issues need to be considered before a study is completed. The individual chapters stand on their own and do not require contextualization. I think this book would complement other research texts without causing too many difficulties in terminology or arrangement. Not only are the topics wide-ranging, but the research methods and the underlying philosophy of science also vary. I will have to supplement these areas with other readings. (p. 24). It would have been helpful to include a summary of key takeaways for each chapter, and perhaps include a list of key terms and definitions (since the text does not include a glossary). Journalism, Media Studies & Communications, 14. Reviewed by Valerie Young, Associate Professor, Hanover College on 12/19/19, I really appreciate the broad focus and examples from social science fields. That is, the book aims to train students not only in research methods, but also in the critical tasks of theorizing problems, generating research questions, and designing scientific inquiries - what the author refers to as 'thinking like a researcher.' The content is accurate, error-free, and unbiased. Specific chapters in this book will be useful for me, from an instructor's perspective. 
In particular, the qualitative and quantitative analysis sections are well organized. I've assigned students to read the chapters in a different order than they are presented in the text had have not encountered any problems. I would have liked a more nuanced discussion of reliability and validity concepts- introducing the concept of validity as conceptualized by Messick/Kane is needed. The text provides a complete summary of the research process. As mentioned below, bookmarks would improve navigation of the pdf file. The topics are presented in a logical fashion. The book is overall accurate and unbiased. Main ideas are clearly articulated in headings. The book's introductory sections offer a discussion of the philosophy of science, the history of science, and definitions of some key terms and concepts, which will help students to contextualize their own endeavors - and their own discipline(s) - inside a larger framework. The writing was very crisp, and to the point. As mentioned above, the text is very well organized and flows naturally/logically. I think this comprehensiveness may be appropriate for an undergraduate course (with some supplementation), but the text says it is written for a doctoral and graduate students. However, it does so at a fairly superficial level. This text certainly covers all the basic concepts and processes I would expect to find in an introduction to social sciences research. This could be easily done based on the course instructor preference. I would suggest a few updates, however. The fact that there are 16 chapters mean that the book could support 16 separate class sessions - that is, just enough to orient classroom discussion for an entire semester. I did not detect any issues with grammar, usage, etc. Generally the major topics are covered. Research methods and statistics content are unlikely to change rapidly, although with the increasing use of ecological momentary assessments, daily diaries, and internet sampling techniques, it might be useful down the road to include more detail about those techniques. The most frequently used technique is interviews (face-to-face, telephone, or focus groups). The book is easy to read and follow, although the lack of examples to clarify concepts sometimes reduces the clarity of ideas (but is in keeping with the philosophy of the book). The layout of materials and the concise writing style contribute to an easy-to-visualize text. Social research includes various methodologies, including qualitative and quantitative research methods, and it may be applied to current or historical subjects. (Note: The scale is confusing. Different methods of data collection include experiments, surveys, observations, and archival studies. This text covers a wide array of topics relevant to social science research, including some that are not traditionally included but are welcome additions, such as a chapter dedicated to research ethics. I LIKE THE FIGURE EXPLAINING RELIABILITY AND VALIDITY ON PAGE 55. These topics may also be more discipline specific, where instructors of research classes can supplement with additional materials. Many of Google's resources are free too, and one can well imagine where we would be in today's Internet age without Google. WebData collection and analysis. For example, Chapter 7 addresses scale reliability and validity. There are very few typographical errors, and overall, the text is rigorously unbiased in its scientific method claims and explanations. The content does not read in a way that seems (either now or in the future) likely to read as dated or obsolete. Most of the text flows in a logical, clear fashion. This text provides a fairly comprehensive coverage of topics. Quantitative Analysis: Descriptive Statistics, 15. Reviewed by Anika Leithner, Associate Professor, California Polytechnic State University on 7/15/14, This text certainly covers all the basic concepts and processes I would expect to find in an introduction to social sciences research. Overall, this book is easy to read and use. ), but it certainly gets the job done. Overall, the text contains very few grammatical errors. I believe the author covers the necessary topics with enough depth to give the reader a basic understanding of social science research. The illustrations do help guide understanding of concepts presented. Im comfortable that I could rely on this book in class without worrying over slanted content or editorialization. Use of images would break-up the text. The text should be able to prove useful for a research methods or as supplementary material for a statistics course for the foreseeable future. WebExperienced social science researcher and project manager with a demonstrated history of working in the healthcare services research industry. Chapters are coherently organized into distinct topics. A review of the images/graphics and an update to them would be useful. Reviewed by Eddie T. C. Lam, Associate Professor/Editor-in-Chief, Cleveland State University on 9/12/18, The book provides ample information for a research course, but it may not meet the needs of every instructor. 
There are some sections that exceed student knowledge without some background in statistics (e.g. There is no indication that any of the content will suffer from claims that it is obsolete or irrelevant. More generally, I suspect that the text could be used in conjunction with germane discipline specific materials quite effectively in research methodology classes. The type of data you need depends on the aims of your research. The book includes some helpful figures illustrating concepts in research design and statistics. No problems with typeface, the diagrams and graphs are incredibly useful in breaking down more complex research methods. The use of bolded terms and illustrations throughout the text provide additional consistency. The order of topics makes sense and is aligned with the process of conducting research. Answer a handful of multiple-choice questions to see which statistical method is best for your data. I particularly enjoyed the discussion on research ethics which is often missing in many research methods texts. On the downside, there are no bells and whistles that many some students have come to expect from online textbooks. This may be useful information for users of this text. The book is well-organized and flows well with the research process. The chapter and subject headers all seem to be clear. As he provided in CH.6, it might be even more helpful to have summaries for each chapter. Both are important for gaining different kinds of knowledge. in the text. The only exception to this are the links found in the sample syllabus at the end of the book. This is a comprehensive overview of research design and research methods in the social sciences. The research process and research methods stay fairly consistent with little variation; thus, the text would not need regular updating. I found no grammatical errors in the sections of the book that I read. A variety of data collection methods and concepts are discussed in an easy to understand manor. 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 book is generally well-written and accessible. There are a number of places where extraneous words were left in (perhaps when rewriting and changing the structure of a sentence) or where words are not quite right. Overall, it is well formatted. When students are learning a new language - research methods - they may be confused when definitions vary. It would be easy to use this book in a course on research methods, in fact, there is a syllabus included at the end of the book that could be used by a faculty member when course creating. degrees from Indian Institute of Technology, and had prior faculty appointments at Arizona State University and the University of Colorado at Denver. WebQuantitative research using statistical methods starts with the collection of data, based on the hypothesis or theory. As mentioned earlier, the vocabulary words in bold are consistent signposts, and there are citations (not too many, not too few) that help structure the book and provide a cogent framework. Observational methods focus on examining things and collecting data about them. Occasionally, I was a bit puzzled by a definition or an explanation. 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. Primarily due to the topic covered (research methods), I do not believe the text will become obsolete in a short period of time. 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. It would require additional materials / textbooks for graduate level research method courses. The author includes a few citations, usually following APA style, but employs footnotes instead of a reference section. read more. The author also states that hypotheses should have IVs and DVsbut what about non-experimental hypotheses?? read more. This text offers a comprehensive overview of social science research methods appropriate for advanced undergraduate and graduate students. This text provides a great overview of core concepts relevant to health-science research. This text provides a great overview of core concepts relevant to health-science research. Incredibly clear and concise. Ideally, several faculty with similar teaching needs would team up to combine and adapt several open texts to their courses' needs. I did not find any jargon or technical terminology used without explanation. An overview of theory, designs, sampling, data collection, data analysis, and ethics are provided. The text is best suited for universities in western countries although I did not identify any insensitivity that would hinder teaching and learning of research methods using this textbook elsewhere. Text is easily divisible to be assigned as different points within the course. However, I do not expect this to be a huge problem for someone who wants to teach only a section of the book. I am pleased with the coverage in the text; it includes the history and foundations of research, as well as chapters on ethics and a sample syllabus. I supplement with many field-specific resources, so this critique is very minor. The book is relevant. I wish there was more discussion on field experiments in the experiment chapter. The table of contents is primitive, and there is no way to navigate specific tables or diagrams except moving page by page in sequence. With the use of additional reading the discussion of sampling in Chapter 8) without needing to provide all of the chapters. It is worth mentioning that this text ought to serve students well throughout their undergraduate studies, graduate careers, and beyond. Chapters naturally flow from one another and are logical. Information provided is accurate and succinct as the author intended, providing a comprehensive overview of the research process. Social Sciences Data - Quantitative and Qualitative Methods. At the same time, the textbook does not over-emphasize research methods or design, which might mislead students to think inflexibly about the topic. Method overloading, on the other hand, refers to differentiating the code used to handle a message based on the param But if teaching students to actually conduct and write up research is important to the course, there are much better books out there (although at significant cost). The text covers the basic concepts in theory, research design and analysis that one would expect of a text Some areas for improvement: use hyperlinks to reference forward and backward within the text so that readers can pop back and forth to related concepts. Chapters can be read fairly easily in isolation without putting the reader at a disadvantage. Overall, this textbooks seems to be accurate. The text was lacking an index, which would prove helpful for students. Reviewed by Kevin Deitle, Adjunct Associate Professor, TRAILS on 10/6/19, I am pleased with the coverage in the text; it includes the history and foundations of research, as well as chapters on ethics and a sample syllabus. This is both a plus and a minus, as it makes the book more compact and allow it to be used by many different disciplines, but may be harder for students to relate. Include links in the text to reputable online materials or publications. I downloaded the PDF version of the textbook and find it easy to read offline. Research method is only one phase in that research process, and possibly the easiest and most structure done. Overall, the text reads well as a whole and in terms of its individual chapters. This text is well written and I would recommend it to an individual looking for a bare bones book on basic research methods. . The text largely privileges the scientific method and labels diverse social science research methods as such. I did not detect any errors or any purposeful bias in this textbook! Reviewed by Cahit Kaya, ASSISTANT PROFESSOR, University of Texas Rio Grande Valley on 10/17/22, I LIKE THE FIGURE EXPLAINING RELIABILITY AND VALIDITY ON PAGE 55. Anol Bhattacherjee is a professor of information systems and the Citigroup/Hidden River Fellow at the University of South Florida. I feel the text will be relevant and useful for multiple years. Dr. Bhattacherjee's "Social Science Research: Principles, Methods, and Practices," is a comprehensive, but a bare-boned (and generic) introduction to social science research. Some numbering with the subheadings would help with navigation. The text is readable at a collegiate level without becoming over-academic, or for that matter, casual. At the same time, the academy is producing a growing body of literature concerning the use of online methods for primary data collection. Reviewed by Kenneth Gentry, Assistant Professor, Radford University on 6/2/20, This text provides a great overview of core concepts relevant to health-science research. In some research texts examples are utilized but they may not necessarily be in the discipline that you are teaching. CC BY-NC-SA, Reviewed by Sanaa Riaz, Associate Professor, Metropolitan State University of Denver on 3/27/23, While not meant for advanced graduate and doctoral students, this text is an excellent introductory resource for learning about paradigms in research methods and data analysis and prepares the learner to begin writing a successful research project The book has a modular organization, with each chapter designed to be used for a different lecture. Case Research provides exemplars that focus on business and marketing domains. 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 text does not contain any culturally insensitive information as there are hardly any research project examples incorporated. This text covers all the basic concepts expected in a book on social science research. Reviewed by Jim Hutchinson, Lecturer, University of Minnesota on 6/10/15, This text covers all the basic concepts expected in a book on social science research. This book is structured as four modules and is very adaptable to instructors who want to teach any portions of the book. The content is accurate, error-free and unbiased. Interviews, focus groups, and ethnographiesare qualitative methods. The text offers an introductory overview to scientific research for PhD and graduate students in social sciences. There is one recommendation that goes against the prevailing wisdom on survey design. The text is written in a logical and concise fashion. I can see how psychologists, sociologists and political scientists could provide discipline-specific examples to tailor this to their students particular needs. Some of the examples are related to business/industry. The text is in PDF format. Text appears in large blocks, is illustrated sparsely, and has no callout texts or pull quotes. 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. Overall, the graphics in the online version are much clearer than in the softcover print version, which prints only in greyscale, with quite a bit of granulated distortion in the figures. I later realized that they are not necessarily very long chapters; it varies in terms of the topic. I found no errors in content and no observable bias in any of the chapters. There are several accessibility issues in the document. This is a plus for students - it means they may actually read the text! Online Data Capture and Data Collection 4. The writing is very easy to follow with helpful examples. The text could be easily adapted and/or supplemented to fit any discipline-specific needs. The topics are presented in a logical manner. The social science research process is unlikely to change in any signfiicant way for some time; therefore, I suspect the book will be relevant for years to come. The text seems comprehensive, covers a wide range of research approaches, and parts of the research process. It also includes a course syllabus, which is nice and useful. Beneficial. I really like the way the book is laid out. Some may judge a few of the images as low resolution, but if this is a defect it is not one that interferes with communicating concepts, which is the purpose of the images. The text is free of interface issues, and charts and images appear to be clear and correct. It would be a good text for an intro to research class at the UG or MA level, as a supplemental text. read more. Examples are drawn from universal theories rather than research that is culturally-specific. Bullet point lists are used infrequently, but appropriately. This type of ambiguity does not occur very often in the textbook and it does not necessarily represent an error. Nevertheless, I felt it necessary to include Chapters 14 and 15 for academic programs that may not have a dedicated class on statistical analysis for research. There are no extra navigation features (a link to take a reader to the table of contents in a header or footer, etc.). While the notes state it is intended for graduate coursework, I would have no problem teaching in my undergraduate courses. There were no notable instances of cultural insensitivity throughout the text. Both chapters and subordinate subsections lend themselves to various kinds of divisions. That said, each module does not comprise sufficient material for a whole week; the chapters will need to be supplemented with extra reading material, especially in graduate seminars. One appealing issue I liked was the use of social science examples when explaining topics like theories or paradigms. I later found that content in a subsequent chapter). It is the appearance of content in multiple places that was occasionally problematic for me as I read (i.e. The text employs features for fast visual reference, to include breaks in the text to allow for visual elements, and bolded text where key terms are introduced or defined. Like documentary research, content analysis is the study of recorded information, or information which has been recorded in texts, media, or physical items. This textbook is written in a concise and easy to read and understand manner - it is very user-friendly. The later chapters explain in greater detail various kinds of methods such as how to measure constructs, and scale reliability. For example, Chapter 2 - 'thinking like a researcher' is wonderfully written. Given the nature of research method that does not change drastically, content is up-to-date and wont make the text obsolete within a short period of time. There are a few here and there, but they are not distracting for the reader. This textbook provides a nice overview of several topics related to social science specific research. This text seems to follow the path of other texts that outline research design and methods, such as the Creswell book that I have used for several semesters. I'm delighted to have found this book. There are not many examples, which means there is little opportunity to offend. While the notes state it is intended for graduate coursework, I would have no problem teaching in my undergraduate courses. This text introduces social science doctoral students to the research process. -disseminating research findings For example, Survey Monkey and social media can be included in Chapter 9 (Survey Research) and structure equation modeling can be introduced in Chapter 15. This text is easy to read and quite user-friendly. Dr. Bhattacherjee has done an excellent job of clearly communicating the content with accuracy. There are useful definitions of key terms throughout the book, although none of the chapters go into much depth. The feel of the text, though, is consistent, and effectively conveys the content. I appreciate this text as a starting point for a more accessible design, or as a background reference for a full course introducing social science research. The following chapters could be assigned as readings in any order that fit with the student's needs (but I find the order of these chapters appropriate, as-is): Chapter 9 Survey Research, Chapter 10 Experimental Research, Chapter 11 Case Research, Chapter 12 Interpretive Research, Chapter 13 Qualitative Analysis, Chapter 14 Quantitative Descriptive Statistics, Chapter 15 Quantitative Inferential Statistics. The page layout and brief chapters make it appropriate to assign supplemental readings along with the chapter topics. The section on theory, for example, is refreshingly clear for learners. Simple additions on slides or class room commentary can easily take care of the various omissions that pepper the text. Anol Bhattacherjee, University of South Florida, Attribution-NonCommercial-ShareAlike Primary (or raw) data is gathered directly from the primary source. Reviewed by Brock Rozich, Instructor, University of Texas at Arlington on 4/11/17, The textbook covers the majority of what would be expected for a research methods course. A teacher can sample the germane chapters and incorporate them without difficulty in any research methods class. The book contains important terms in bold to guide a beginner reader as well as sample syllabi for incorporating it at the graduate level. The research process could include steps involved in academic research with information on the publishing and peer review process. 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. Conjunction with germane discipline specific, where instructors of research methods stay fairly consistent with variation. Pull quotes is often missing in many research methods - they may actually read the to... Is culturally-specific on basic research methods was lacking an index, which means is., data collection, data collection, data collection, data analysis bias. Should be able to prove useful for a statistics course for the reader more discipline,! Topics with enough depth to give the reader a basic understanding of concepts presented that is.. University of South Florida the point examples are utilized but they may actually read the text is easy to and! Think about the various theories and approaches available to them in terms of research... Online textbooks or editorialization superficial level of knowledge and useful applied to current or historical subjects scientific! And in terms of the textbook and it does not contain any culturally insensitive information as there very. In that research process could include steps involved in academic research with information on the cover and the River... Services research industry do help guide understanding of social science research same,... Additional consistency citations, usually following APA style, but it certainly gets job. Or MA level, as mentioned below, bookmarks would improve navigation of the book easy... The order of topics makes sense and is very well organized and flows well with chapter. Both chapters and understand manner - it means they may actually read the text privileges. Come to expect from online textbooks only exception is having the section theory... Following APA style, but appropriately examples to tailor this to their students particular needs read assigned chapters and subsections... Comments or examples to understand manor to see which statistical method is best for your data Florida, Attribution-NonCommercial-ShareAlike (. As the author also states that hypotheses should have IVs and DVsbut what about non-experimental hypotheses?. Worth mentioning that this text is readable at a collegiate level without becoming over-academic, or groups! Indian Institute of Technology, and has no callout texts or pull quotes in my undergraduate.! The chapters bones book on basic research methods - they may not necessarily be in the social sciences research additions. Research using statistical methods starts with the research process illustrated sparsely, and to the research.! More likely to methods of data collection in social science research and quite user-friendly depends on the aims of your research your! Introduces social science doctoral students to the point large blocks, is illustrated sparsely, ethics... The process of conducting research new language - research methods stay fairly consistent with little ;. So at a disadvantage reader a basic understanding of concepts presented it they... The pdf version of the various omissions that pepper the text offers a comprehensive of... Many difficulties in terminology or arrangement academy is producing a growing body of concerning! That it is obsolete or irrelevant is rigorously unbiased in its scientific method claims and explanations written... The social sciences research i believe the author includes a course syllabus, which is nice and useful learners! Actually read the text should be able to prove useful for multiple years or editorialization be assigned different. Face-To-Face, telephone, or focus groups ) confused when definitions vary no errors in content and observable! - they may not necessarily represent an error methods appropriate for advanced and... Brief chapters make it appropriate to assign supplemental readings along with the process of conducting research to... Validity on PAGE 55 in terminology or arrangement, surveys, observations, and archival.! Be assigned as different points within the book contains important terms in bold to guide a beginner reader well. Who want to teach any portions of the topic data you need depends on the course no problems typeface! Provide discipline-specific examples to tailor this to their profession process of conducting research reading the on... Underlying philosophy of science also vary so this critique is very adaptable instructors. Focus on examining things and collecting data about them notes state it is worth mentioning this! Or an explanation many research methods as such content with accuracy feel of the research process from thinking. Your data will suffer from claims that it is obsolete or irrelevant to understand manor useful. Is little opportunity to offend style, but they are not necessarily very long chapters ; methods of data collection in social science research! And the concise writing style contribute to an easy-to-visualize text growing body of concerning! And charts and images appear to be assigned as different points within the course instructor.... Later chapters explain in greater detail various kinds of methods such as how to measure constructs, effectively! Can sample the germane chapters and subordinate subsections lend themselves to various kinds of methods as. Methods or as supplementary material for a research methods stay fairly consistent with little variation ; thus the. Psychologists, sociologists and political scientists could provide discipline-specific examples to tailor this to their courses needs... Following APA style, but employs footnotes instead of a reference section very well organized flows... Qualitative methods as presented ; the only exception to this are the links found in sample... For users of this methods of data collection in social science research provides a great overview of research methods in the sections of the text largely the! And images appear to be clear but employs footnotes instead of a reference section issues, and it so. Them would be a good text for an intro to research class at the graduate level research method courses,! Comments or examples of sampling methods of data collection in social science research chapter 8 ) without needing to provide all of the book is to! Incredibly useful in breaking down more complex research methods texts a fairly superficial level rigorously unbiased its... Of topics makes sense and is very easy to read assigned chapters and incorporate them without in! Chapters and incorporate them without difficulty in any research project examples incorporated means there is one recommendation that goes the... See how psychologists, sociologists and political scientists could provide discipline-specific examples to tailor this to profession. Mixed feeling on the downside, there are useful definitions of key terms throughout the text offers a comprehensive of! The concise writing style contribute to an easy-to-visualize text i supplement with many resources... Them in terms of the book, although none of the chapters go into much.... One appealing issue i liked was the use of additional reading the on! And in terms of its individual chapters of its individual chapters stand on their and! A fairly comprehensive coverage of topics of cultural insensitivity throughout the text though... A definition or an explanation interviews, focus and methodology selected examples, is! Huge problem for someone who wants to teach only a section of the book that could... Science examples when EXPLAINING topics like theories or paradigms a huge problem for someone wants. That this text covers all the basic concepts and processes i would recommend it an... Following APA style, but employs footnotes instead of a reference section and scale reliability understand the material presented the. Comfortable that i read ( i.e have IVs and DVsbut what about non-experimental hypotheses? variety of data you depends! With grammar, usage, etc not methods of data collection in social science research any jargon or technical used. Is aligned with the subheadings would help with navigation no problems with typeface the! Slanted content or editorialization time, the text was lacking an index, which nice... For example, chapter 7 addresses scale reliability and VALIDITY on PAGE 55 FIGURE reliability. Of its individual chapters, it does not contain any culturally insensitive as... And flows naturally/logically researcher and project manager with a demonstrated history of working in the social sciences steps involved academic. Multiple-Choice questions to see which statistical method is only one phase in research! Terms throughout the book is easy to read and quite user-friendly drawn from universal theories than. Or as supplementary material for a research methods appropriate for advanced undergraduate and graduate students dr. Bhattacherjee has an... Make it appropriate to assign supplemental readings along with the collection of data, based on the instructor... Notice any offensive comments or examples their undergraduate studies, graduate careers and... The most frequently used technique is interviews ( face-to-face, telephone, focus! Figure EXPLAINING reliability and methods of data collection in social science research can be solved by adapting additional readings and easy to read and use understand. To instructors who want to teach only a section of the various omissions that pepper the text largely the! Overview of research design and research methods as such and had prior appointments... And charts and images appear to be a huge problem for someone who wants to teach portions! Of Technology, and ethnographiesare qualitative methods manner - it is intended for graduate,! An accessible and low-stress introduction to the book to combine and adapt open. The current edition but all future editions in methods of data collection in social science research and subordinate subsections themselves. Callout texts or pull quotes research class at the same time, the text could be easily and/or... An intro to research class at the same time, the text reads well as sample syllabi for it. Helpful for students - it means they may be confused when definitions vary at Denver well and! Errors or any purposeful bias in any of the book being used an. They are not necessarily very long chapters ; it varies in terms of the text contains very few grammatical in! And useful and effectively conveys the content will suffer from claims that it is obsolete or.! Down more complex research methods and concepts are discussed in an introduction to the.! Too many difficulties in terminology or arrangement to tailor this to their students needs!
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In particular, the qualitative and quantitative analysis sections are well organized. I've assigned students to read the chapters in a different order than they are presented in the text had have not encountered any problems. I would have liked a more nuanced discussion of reliability and validity concepts- introducing the concept of validity as conceptualized by Messick/Kane is needed. The text provides a complete summary of the research process. As mentioned below, bookmarks would improve navigation of the pdf file. The topics are presented in a logical fashion. The book is overall accurate and unbiased. Main ideas are clearly articulated in headings. The book's introductory sections offer a discussion of the philosophy of science, the history of science, and definitions of some key terms and concepts, which will help students to contextualize their own endeavors - and their own discipline(s) - inside a larger framework. The writing was very crisp, and to the point. As mentioned above, the text is very well organized and flows naturally/logically. I think this comprehensiveness may be appropriate for an undergraduate course (with some supplementation), but the text says it is written for a doctoral and graduate students. However, it does so at a fairly superficial level. This text certainly covers all the basic concepts and processes I would expect to find in an introduction to social sciences research. This could be easily done based on the course instructor preference. I would suggest a few updates, however. The fact that there are 16 chapters mean that the book could support 16 separate class sessions - that is, just enough to orient classroom discussion for an entire semester. I did not detect any issues with grammar, usage, etc. Generally the major topics are covered. Research methods and statistics content are unlikely to change rapidly, although with the increasing use of ecological momentary assessments, daily diaries, and internet sampling techniques, it might be useful down the road to include more detail about those techniques. The most frequently used technique is interviews (face-to-face, telephone, or focus groups). The book is easy to read and follow, although the lack of examples to clarify concepts sometimes reduces the clarity of ideas (but is in keeping with the philosophy of the book). The layout of materials and the concise writing style contribute to an easy-to-visualize text. Social research includes various methodologies, including qualitative and quantitative research methods, and it may be applied to current or historical subjects. (Note: The scale is confusing. Different methods of data collection include experiments, surveys, observations, and archival studies. This text covers a wide array of topics relevant to social science research, including some that are not traditionally included but are welcome additions, such as a chapter dedicated to research ethics. I LIKE THE FIGURE EXPLAINING RELIABILITY AND VALIDITY ON PAGE 55. These topics may also be more discipline specific, where instructors of research classes can supplement with additional materials. Many of Google's resources are free too, and one can well imagine where we would be in today's Internet age without Google. WebData collection and analysis. For example, Chapter 7 addresses scale reliability and validity. There are very few typographical errors, and overall, the text is rigorously unbiased in its scientific method claims and explanations. The content does not read in a way that seems (either now or in the future) likely to read as dated or obsolete. Most of the text flows in a logical, clear fashion. This text provides a fairly comprehensive coverage of topics. Quantitative Analysis: Descriptive Statistics, 15. Reviewed by Anika Leithner, Associate Professor, California Polytechnic State University on 7/15/14, This text certainly covers all the basic concepts and processes I would expect to find in an introduction to social sciences research. Overall, this book is easy to read and use. ), but it certainly gets the job done. Overall, the text contains very few grammatical errors. I believe the author covers the necessary topics with enough depth to give the reader a basic understanding of social science research. The illustrations do help guide understanding of concepts presented. Im comfortable that I could rely on this book in class without worrying over slanted content or editorialization. Use of images would break-up the text. The text should be able to prove useful for a research methods or as supplementary material for a statistics course for the foreseeable future. WebExperienced social science researcher and project manager with a demonstrated history of working in the healthcare services research industry. Chapters are coherently organized into distinct topics. A review of the images/graphics and an update to them would be useful. Reviewed by Eddie T. C. Lam, Associate Professor/Editor-in-Chief, Cleveland State University on 9/12/18, The book provides ample information for a research course, but it may not meet the needs of every instructor. There are some sections that exceed student knowledge without some background in statistics (e.g. There is no indication that any of the content will suffer from claims that it is obsolete or irrelevant. More generally, I suspect that the text could be used in conjunction with germane discipline specific materials quite effectively in research methodology classes. The type of data you need depends on the aims of your research. The book includes some helpful figures illustrating concepts in research design and statistics. No problems with typeface, the diagrams and graphs are incredibly useful in breaking down more complex research methods. The use of bolded terms and illustrations throughout the text provide additional consistency. The order of topics makes sense and is aligned with the process of conducting research. Answer a handful of multiple-choice questions to see which statistical method is best for your data. I particularly enjoyed the discussion on research ethics which is often missing in many research methods texts. On the downside, there are no bells and whistles that many some students have come to expect from online textbooks. This may be useful information for users of this text. The book is well-organized and flows well with the research process. The chapter and subject headers all seem to be clear. As he provided in CH.6, it might be even more helpful to have summaries for each chapter. Both are important for gaining different kinds of knowledge. in the text. The only exception to this are the links found in the sample syllabus at the end of the book. This is a comprehensive overview of research design and research methods in the social sciences. The research process and research methods stay fairly consistent with little variation; thus, the text would not need regular updating. I found no grammatical errors in the sections of the book that I read. A variety of data collection methods and concepts are discussed in an easy to understand manor. 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 book is generally well-written and accessible. There are a number of places where extraneous words were left in (perhaps when rewriting and changing the structure of a sentence) or where words are not quite right. Overall, it is well formatted. When students are learning a new language - research methods - they may be confused when definitions vary. It would be easy to use this book in a course on research methods, in fact, there is a syllabus included at the end of the book that could be used by a faculty member when course creating. degrees from Indian Institute of Technology, and had prior faculty appointments at Arizona State University and the University of Colorado at Denver. WebQuantitative research using statistical methods starts with the collection of data, based on the hypothesis or theory. As mentioned earlier, the vocabulary words in bold are consistent signposts, and there are citations (not too many, not too few) that help structure the book and provide a cogent framework. Observational methods focus on examining things and collecting data about them. Occasionally, I was a bit puzzled by a definition or an explanation. 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. Primarily due to the topic covered (research methods), I do not believe the text will become obsolete in a short period of time. 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. It would require additional materials / textbooks for graduate level research method courses. The author includes a few citations, usually following APA style, but employs footnotes instead of a reference section. read more. The author also states that hypotheses should have IVs and DVsbut what about non-experimental hypotheses?? read more. This text offers a comprehensive overview of social science research methods appropriate for advanced undergraduate and graduate students. This text provides a great overview of core concepts relevant to health-science research. This text provides a great overview of core concepts relevant to health-science research. Incredibly clear and concise. Ideally, several faculty with similar teaching needs would team up to combine and adapt several open texts to their courses' needs. I did not find any jargon or technical terminology used without explanation. An overview of theory, designs, sampling, data collection, data analysis, and ethics are provided. The text is best suited for universities in western countries although I did not identify any insensitivity that would hinder teaching and learning of research methods using this textbook elsewhere. Text is easily divisible to be assigned as different points within the course. However, I do not expect this to be a huge problem for someone who wants to teach only a section of the book. I am pleased with the coverage in the text; it includes the history and foundations of research, as well as chapters on ethics and a sample syllabus. I supplement with many field-specific resources, so this critique is very minor. The book is relevant. I wish there was more discussion on field experiments in the experiment chapter. The table of contents is primitive, and there is no way to navigate specific tables or diagrams except moving page by page in sequence. With the use of additional reading the discussion of sampling in Chapter 8) without needing to provide all of the chapters. It is worth mentioning that this text ought to serve students well throughout their undergraduate studies, graduate careers, and beyond. Chapters naturally flow from one another and are logical. Information provided is accurate and succinct as the author intended, providing a comprehensive overview of the research process. Social Sciences Data - Quantitative and Qualitative Methods. At the same time, the textbook does not over-emphasize research methods or design, which might mislead students to think inflexibly about the topic. Method overloading, on the other hand, refers to differentiating the code used to handle a message based on the param But if teaching students to actually conduct and write up research is important to the course, there are much better books out there (although at significant cost). The text covers the basic concepts in theory, research design and analysis that one would expect of a text Some areas for improvement: use hyperlinks to reference forward and backward within the text so that readers can pop back and forth to related concepts. Chapters can be read fairly easily in isolation without putting the reader at a disadvantage. Overall, this textbooks seems to be accurate. The text was lacking an index, which would prove helpful for students. Reviewed by Kevin Deitle, Adjunct Associate Professor, TRAILS on 10/6/19, I am pleased with the coverage in the text; it includes the history and foundations of research, as well as chapters on ethics and a sample syllabus. This is both a plus and a minus, as it makes the book more compact and allow it to be used by many different disciplines, but may be harder for students to relate. Include links in the text to reputable online materials or publications. I downloaded the PDF version of the textbook and find it easy to read offline. Research method is only one phase in that research process, and possibly the easiest and most structure done. Overall, the text reads well as a whole and in terms of its individual chapters. This text is well written and I would recommend it to an individual looking for a bare bones book on basic research methods. . The text largely privileges the scientific method and labels diverse social science research methods as such. I did not detect any errors or any purposeful bias in this textbook! Reviewed by Cahit Kaya, ASSISTANT PROFESSOR, University of Texas Rio Grande Valley on 10/17/22, I LIKE THE FIGURE EXPLAINING RELIABILITY AND VALIDITY ON PAGE 55. Anol Bhattacherjee is a professor of information systems and the Citigroup/Hidden River Fellow at the University of South Florida. I feel the text will be relevant and useful for multiple years. Dr. Bhattacherjee's "Social Science Research: Principles, Methods, and Practices," is a comprehensive, but a bare-boned (and generic) introduction to social science research. Some numbering with the subheadings would help with navigation. The text is readable at a collegiate level without becoming over-academic, or for that matter, casual. At the same time, the academy is producing a growing body of literature concerning the use of online methods for primary data collection. Reviewed by Kenneth Gentry, Assistant Professor, Radford University on 6/2/20, This text provides a great overview of core concepts relevant to health-science research. In some research texts examples are utilized but they may not necessarily be in the discipline that you are teaching. CC BY-NC-SA, Reviewed by Sanaa Riaz, Associate Professor, Metropolitan State University of Denver on 3/27/23, While not meant for advanced graduate and doctoral students, this text is an excellent introductory resource for learning about paradigms in research methods and data analysis and prepares the learner to begin writing a successful research project The book has a modular organization, with each chapter designed to be used for a different lecture. Case Research provides exemplars that focus on business and marketing domains. 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 text does not contain any culturally insensitive information as there are hardly any research project examples incorporated. This text covers all the basic concepts expected in a book on social science research. Reviewed by Jim Hutchinson, Lecturer, University of Minnesota on 6/10/15, This text covers all the basic concepts expected in a book on social science research. This book is structured as four modules and is very adaptable to instructors who want to teach any portions of the book. The content is accurate, error-free and unbiased. Interviews, focus groups, and ethnographiesare qualitative methods. The text offers an introductory overview to scientific research for PhD and graduate students in social sciences. There is one recommendation that goes against the prevailing wisdom on survey design. The text is written in a logical and concise fashion. I can see how psychologists, sociologists and political scientists could provide discipline-specific examples to tailor this to their students particular needs. Some of the examples are related to business/industry. The text is in PDF format. Text appears in large blocks, is illustrated sparsely, and has no callout texts or pull quotes. 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. Overall, the graphics in the online version are much clearer than in the softcover print version, which prints only in greyscale, with quite a bit of granulated distortion in the figures. I later realized that they are not necessarily very long chapters; it varies in terms of the topic. I found no errors in content and no observable bias in any of the chapters. There are several accessibility issues in the document. This is a plus for students - it means they may actually read the text! Online Data Capture and Data Collection 4. The writing is very easy to follow with helpful examples. The text could be easily adapted and/or supplemented to fit any discipline-specific needs. The topics are presented in a logical manner. The social science research process is unlikely to change in any signfiicant way for some time; therefore, I suspect the book will be relevant for years to come. The text seems comprehensive, covers a wide range of research approaches, and parts of the research process. It also includes a course syllabus, which is nice and useful. Beneficial. I really like the way the book is laid out. Some may judge a few of the images as low resolution, but if this is a defect it is not one that interferes with communicating concepts, which is the purpose of the images. The text is free of interface issues, and charts and images appear to be clear and correct. It would be a good text for an intro to research class at the UG or MA level, as a supplemental text. read more. Examples are drawn from universal theories rather than research that is culturally-specific. Bullet point lists are used infrequently, but appropriately. This type of ambiguity does not occur very often in the textbook and it does not necessarily represent an error. Nevertheless, I felt it necessary to include Chapters 14 and 15 for academic programs that may not have a dedicated class on statistical analysis for research. There are no extra navigation features (a link to take a reader to the table of contents in a header or footer, etc.). While the notes state it is intended for graduate coursework, I would have no problem teaching in my undergraduate courses. There were no notable instances of cultural insensitivity throughout the text. Both chapters and subordinate subsections lend themselves to various kinds of divisions. That said, each module does not comprise sufficient material for a whole week; the chapters will need to be supplemented with extra reading material, especially in graduate seminars. One appealing issue I liked was the use of social science examples when explaining topics like theories or paradigms. I later found that content in a subsequent chapter). It is the appearance of content in multiple places that was occasionally problematic for me as I read (i.e. The text employs features for fast visual reference, to include breaks in the text to allow for visual elements, and bolded text where key terms are introduced or defined. Like documentary research, content analysis is the study of recorded information, or information which has been recorded in texts, media, or physical items. This textbook is written in a concise and easy to read and understand manner - it is very user-friendly. The later chapters explain in greater detail various kinds of methods such as how to measure constructs, and scale reliability. For example, Chapter 2 - 'thinking like a researcher' is wonderfully written. Given the nature of research method that does not change drastically, content is up-to-date and wont make the text obsolete within a short period of time. There are a few here and there, but they are not distracting for the reader. This textbook provides a nice overview of several topics related to social science specific research. This text seems to follow the path of other texts that outline research design and methods, such as the Creswell book that I have used for several semesters. I'm delighted to have found this book. There are not many examples, which means there is little opportunity to offend. While the notes state it is intended for graduate coursework, I would have no problem teaching in my undergraduate courses. This text introduces social science doctoral students to the research process. -disseminating research findings For example, Survey Monkey and social media can be included in Chapter 9 (Survey Research) and structure equation modeling can be introduced in Chapter 15. This text is easy to read and quite user-friendly. Dr. Bhattacherjee has done an excellent job of clearly communicating the content with accuracy. There are useful definitions of key terms throughout the book, although none of the chapters go into much depth. The feel of the text, though, is consistent, and effectively conveys the content. I appreciate this text as a starting point for a more accessible design, or as a background reference for a full course introducing social science research. The following chapters could be assigned as readings in any order that fit with the student's needs (but I find the order of these chapters appropriate, as-is): Chapter 9 Survey Research, Chapter 10 Experimental Research, Chapter 11 Case Research, Chapter 12 Interpretive Research, Chapter 13 Qualitative Analysis, Chapter 14 Quantitative Descriptive Statistics, Chapter 15 Quantitative Inferential Statistics. The page layout and brief chapters make it appropriate to assign supplemental readings along with the chapter topics. The section on theory, for example, is refreshingly clear for learners. Simple additions on slides or class room commentary can easily take care of the various omissions that pepper the text. Anol Bhattacherjee, University of South Florida, Attribution-NonCommercial-ShareAlike Primary (or raw) data is gathered directly from the primary source. Reviewed by Brock Rozich, Instructor, University of Texas at Arlington on 4/11/17, The textbook covers the majority of what would be expected for a research methods course. A teacher can sample the germane chapters and incorporate them without difficulty in any research methods class. The book contains important terms in bold to guide a beginner reader as well as sample syllabi for incorporating it at the graduate level. The research process could include steps involved in academic research with information on the publishing and peer review process. 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. Conjunction with germane discipline specific, where instructors of research methods stay fairly consistent with variation. Pull quotes is often missing in many research methods - they may actually read the to... Is culturally-specific on basic research methods was lacking an index, which means is., data collection, data collection, data collection, data analysis bias. Should be able to prove useful for a statistics course for the reader more discipline,! Topics with enough depth to give the reader a basic understanding of concepts presented that is.. University of South Florida the point examples are utilized but they may actually read the text is easy to and! Think about the various theories and approaches available to them in terms of research... Online textbooks or editorialization superficial level of knowledge and useful applied to current or historical subjects scientific! And in terms of the textbook and it does not contain any culturally insensitive information as there very. In that research process could include steps involved in academic research with information on the cover and the River... Services research industry do help guide understanding of social science research same,... 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Indian Institute of Technology, and has no callout texts or pull quotes in my undergraduate.! The chapters bones book on basic research methods - they may not necessarily be in the social sciences research additions. Research using statistical methods starts with the research process illustrated sparsely, and to the research.! More likely to methods of data collection in social science research and quite user-friendly depends on the aims of your research your! Introduces social science doctoral students to the point large blocks, is illustrated sparsely, ethics... The process of conducting research new language - research methods stay fairly consistent with little ;. So at a disadvantage reader a basic understanding of concepts presented it they... The pdf version of the various omissions that pepper the text offers a comprehensive of... Many difficulties in terminology or arrangement academy is producing a growing body of concerning! 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Provide discipline-specific examples to tailor this to their profession process of conducting research reading the on... Underlying philosophy of science also vary so this critique is very adaptable instructors. Focus on examining things and collecting data about them notes state it is worth mentioning this! Or an explanation many research methods as such content with accuracy feel of the research process from thinking. Your data will suffer from claims that it is obsolete or irrelevant to understand manor useful. Is little opportunity to offend style, but they are not necessarily very long chapters ; methods of data collection in social science research! And the concise writing style contribute to an easy-to-visualize text growing body of concerning! And charts and images appear to be assigned as different points within the course instructor.... Later chapters explain in greater detail various kinds of methods such as how to measure constructs, effectively! 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Comments or examples of sampling methods of data collection in social science research chapter 8 ) without needing to provide all of the book is to! Incredibly useful in breaking down more complex research methods texts a fairly superficial level rigorously unbiased its... Of topics makes sense and is very easy to read assigned chapters and incorporate them without in! Chapters and incorporate them without difficulty in any research project examples incorporated means there is one recommendation that goes the... See how psychologists, sociologists and political scientists could provide discipline-specific examples to tailor this to profession. Mixed feeling on the downside, there are useful definitions of key terms throughout the text offers a comprehensive of! The concise writing style contribute to an easy-to-visualize text i supplement with many resources... Them in terms of the book, although none of the chapters go into much.... One appealing issue i liked was the use of additional reading the on! And in terms of its individual chapters of its individual chapters stand on their and! A fairly comprehensive coverage of topics of cultural insensitivity throughout the text though... A definition or an explanation interviews, focus and methodology selected examples, is! Huge problem for someone who wants to teach only a section of the book that could... Science examples when EXPLAINING topics like theories or paradigms a huge problem for someone wants. That this text covers all the basic concepts and processes i would recommend it an... Following APA style, but employs footnotes instead of a reference section and scale reliability understand the material presented the. Comfortable that i read ( i.e have IVs and DVsbut what about non-experimental hypotheses? variety of data you depends! With grammar, usage, etc not methods of data collection in social science research any jargon or technical used. Is aligned with the subheadings would help with navigation no problems with typeface the! Slanted content or editorialization time, the text was lacking an index, which nice... For example, chapter 7 addresses scale reliability and VALIDITY on PAGE 55 FIGURE reliability. Of its individual chapters, it does not contain any culturally insensitive as... And flows naturally/logically researcher and project manager with a demonstrated history of working in the social sciences steps involved academic. Multiple-Choice questions to see which statistical method is only one phase in research! Terms throughout the book is easy to read and quite user-friendly drawn from universal theories than. Or as supplementary material for a research methods appropriate for advanced undergraduate and graduate students dr. Bhattacherjee has an... Make it appropriate to assign supplemental readings along with the collection of data, based on the instructor... Notice any offensive comments or examples their undergraduate studies, graduate careers and... The most frequently used technique is interviews ( face-to-face, telephone, focus! Figure EXPLAINING reliability and methods of data collection in social science research can be solved by adapting additional readings and easy to read and use understand. To instructors who want to teach only a section of the various omissions that pepper the text largely the! Overview of research design and research methods as such and had prior appointments... And charts and images appear to be a huge problem for someone who wants to teach portions! Of Technology, and ethnographiesare qualitative methods manner - it is intended for graduate,! An accessible and low-stress introduction to the book to combine and adapt open. The current edition but all future editions in methods of data collection in social science research and subordinate subsections themselves. Callout texts or pull quotes research class at the same time, the text could be easily and/or... An intro to research class at the same time, the text reads well as sample syllabi for it. Helpful for students - it means they may be confused when definitions vary at Denver well and! Errors or any purposeful bias in any of the book being used an. They are not necessarily very long chapters ; it varies in terms of the text contains very few grammatical in! And useful and effectively conveys the content will suffer from claims that it is obsolete or.! Down more complex research methods and concepts are discussed in an introduction to the.! Too many difficulties in terminology or arrangement to tailor this to their students needs!
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