I have not noticed many grammatical errors. The chapter also does not present how the In this Primer, Knott et al. This is a sensible and logical structure for the book, and nothing seems out of place. The table of contents is primitive, and there is no way to navigate specific tables or diagrams except moving page by page in sequence. It will also stand against the test of time as research methods do not change drastically. Focus groups. This can be supplemented easily enough, but the omission seems odd. While the notes state it is intended for graduate coursework, I would have no problem teaching in my undergraduate courses. The table of content is clear and the chapters are organized in a logic order. This book provides an introductory and broad review of some of the key topics in social science research including research theories, research design, data Content is for the most part up to date (see above comments for specific areas: reliability, validity, mixed methods); some examples may become outdated very soon (example of political movements in middle eastern countries for example). I do not see any issues with consistency. The textbook covers the majority of what would be expected for a research methods course. read more. 
In addition, an instructor can easily supplement or provide subject-specific examples where needed since the book is thoroughly segmented by chapter and chapter subheadings. It would be better to use designing measurement tools/instruments in the chapter name since the types of validity and reliability discussed are related to creating and developing measurement tools/instruments. The text does not seem to be biased in any way. Observation. No issues, nice charts and graphics throughout. ECTS Credits. I get the impression that the author is relying on "commonly known" ideas regarding research methods and processes, but I have to consistently remind my students to cite all non-original information, and that example is lacking in this text. I did not find the book to be insensitive or offensive. I downloaded and read the text in a PDF reader and had no trouble with formatting, navigation, or images/charts. There are some key elements that I would expect to be in a social science research methods book that are missing in this book. Look at the lack of diversity in many professions and organizations, this is important to address. The textbook makes other distinctions in a way that helps students comprehend concepts (e.g. This text offers a comprehensive overview of social science research methods appropriate for advanced undergraduate and graduate students. This makes the book quite comprehensive in that the book could Chapter sections of the book covering qualitative research are not presented in a logical manner. MORE CULTURAL DIVERSE EXAMPLES CAN BE GIVEN, Reviewed by Dawn DeVries, Associate Professor, Grand Valley State University on 12/9/21, The text provides a complete summary of the research process. In general, I tend to agree with this approach, as so many methodology textbooks seem to get lost in examples and case studies without clearly illustrating the research process as a whole. While discussions are brief and concise, the text addresses the main issues and processes providing an overview and general understanding of the research process for social science fields. I noticed the examples cited were from articles written by authors from different countries. The text covers the basic concepts in theory, research design and analysis that one would expect of a text Generally the major topics are covered. Sometimes I wish it was a bit more precise, particularly in coverage of quantitative topics. It presents the information in a clear and concise way. Furthermore, there is no mention of the ethical issues related to social media research. Personally, I appreciate the compact nature of this text and I would much rather fill in a few gaps on my end, if it means that I can assign my students an open textbook. There were no problems with syntax, grammar, spelling that I came across, except for a minor typo in chapter 9 in the table of contents. It builds upon basic topics to more advanced concepts, so students from various backgrounds of research experience should still find the text useful. 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. Again, I did not find it difficult to assign sections out of sequence using either page numbers or chapter subheadings as reference. There could be more examples to clarify and assure comprehension of concepts, I plan to add these in my adaptation. The course for which I seek a textbook is meant to prepare students in a non-discipline-specific regional studies context, and for a range of methodologies and research design possibilities, mostly in the social sciences and humanities. It also tackles the more familiar topics of research design - conceptualization, measurement, sampling, and so forth - and several specific approaches to data-collection. The topics build productively throughout the textbook, beginning with the basic concepts of research design and culminating with different strategies to approach research. All words, sections and tables are easily searchable. I don't view that as a negative; I prefer having a textbook that gives a basic outline of essential concepts and then fleshing this out with supplemental readings, but some might prefer a textbook that goes into more depth. Reviewed by Virginia Chu, Assistant Professor, Virginia Commonwealth University on 4/11/17, The text offers an introductory overview to scientific research for PhD and graduate students in social sciences. The textbook adequately covers most fundamental concepts related to research methods in the social sciences. I will discuss disciplinary relevance rather than chronological applicability (which other reviewers have already addressed thoroughly).
I supplement with many field-specific resources, so The text outside of the tables is clear. Download. First, unlike other text books, this book is not just about research methods (empirical data collection and analysis) but about the entire research process from start to end. Students will also develop a comprehensive vocabulary in social science research methods. The logic follows principles and theory through to fundamentals, then diverges to cover the details that fit more complex or esoteric versions of research. The text is understandable for those who are new to the subject matter. read more, I use almost the entire text in an undergraduate Health Science research methods course. Overall, the core content is strong, as a printed book it is probably acceptable, but as an electronic textbook it lacks some contemporary features. Two areas could be more in-depth, specifically the IRB discussion and the chapter on surveys. Images used are clear and display without difficulty. The first major section considers the role of research methods in each of these approaches. in the text. At the same time, the textbook does not over-emphasize research methods or design, which might mislead students to think inflexibly about the topic. Im comfortable that I could rely on this book in class without worrying over slanted content or editorialization. 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 think this comprehensiveness may be appropriate for an undergraduate course (with some supplementation), but the text This text provides a great overview of core concepts relevant to health-science research. The book did not appear to have any noticeable grammar or syntactical errors. There isn't a discussion of threats associated with the four types of validity. However, both the breadth and depth of information might be too elementary for Ph.D. and graduate students. The text is well-written and provides clear yet concise context. Some of the diagrams in the book are a little out of focus, but, they are still readable. Method overloading, on the other hand, refers to differentiating the code used to handle a message based on the param Teachers looking for the perfect text that nails all the key points should look elsewhere or make heavy use of supplements. No complaints on this score. 3. Because it uses footnote citations instead of endnotes / parenthetical citations, each page contains all of the references contained on it, which helps with modularity. The However, it is also obvious that many terms appeared in the last few decades are missing from the book. This does not suggest that the content is wrong, only that I would likely rearrange it to suit my instructional sequence. The book is generally well-written and accessible. The text is in PDF format.
Nevertheless, there are some sections that I found helpful to have students read out of sequence. For example, chapters are grouped into four sections: Introduction to Research, Basics of Empirical Research, Data Collection, and Data Analysis. advises against even-numbered Likert scale items, p. 48; encourages people not to do "trendy" research, such as that on new technology, p. 24). 
It covers a wide range of methods and The writing is straightforward and easy to follow. Case study research typically includes multiple data collection techniques and data are collected from multiple sources. The text is readable at a collegiate level without becoming over-academic, or for that matter, casual. Case study is a research method that involves an in-depth, detailed examination of a single unit, such as an individual, family, group, organization, community, or event. Of course, most students seem to prefer an electronic text, so I assume they use a search function rather than an index. As mentioned below, bookmarks would improve navigation of the pdf file. The text is free of interface issues, and charts and images appear to be clear and correct. One thing that strikes me as amazing and also challenging about this text is the concision and simplicity for which Bhattacherjee integrates complex information. It may be helpful in future editions to add additional content relating to qualitative research (i.e. 
The authors prose is clear and easily comprehensible. This text provides an overview of many important issues for my graduate research methods course in education. Experimentalresearch is primarily a quantitative method. As a fellow social scientist from a high growth area (communication studies), I would appreciate even more breadth! The author states that the text is not designed to go in-depth into the subject matter but rather give a basic understanding of the material. 10. Content seems to be error-free and unbiased for the most part. WebWebHow is the word method different from other nouns like it?
Towards the end, there are three chapters with a qualitative focus, but they are brief. I had no major interface problems as I reviewed the book. Technical terms were well defined, though as mentioned previously, an index would be helpful for this text for students to look up key terms if they became lost. The text serves as a great base for building weekly assignments/readings for students. These are indeed relatively rare but that seems to be changing in some fields (e.g. WebExperienced social science researcher and project manager with a demonstrated history of working in the healthcare services research industry. I am most accustomed to finding discussion of theories in separate texts and presentation of statistics that might be used to analyze quantitative data in separate texts. 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. One thing I would recommend adding is examples and cases. This is not visually distracting, just peculiar. All methods require skill on the part of the researcher, and all produce a large amount of raw data. This text covers all the basics of the research process. Both chapters and subordinate subsections lend themselves to various kinds of divisions. The textbooks is very accessible and easy to read for someone new to the disciplines of social science. The brevity of the chapters and bolded key terms particularly appeal to the students. For example, students in need of supplemental instruction on descriptive statistics, such as content about the normal distribution, can be assigned the subsection on Statistics of Sampling in chapter 8, followed by the subsection on Central tendency in chapter 14. The textbook is highly coherent, in my view. The most frequently used technique is interviews (face-to-face, telephone, or focus groups). Some of the statistical formulas or graphs are low-quality, or have suffered compression artifacts. The text does not contain any culturally insensitive information as there are hardly any research project examples incorporated. read more. 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. 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. Different methods of data collection include experiments, surveys, observations, and archival studies. It starts general (with How to Think Like a Researcher) and builds to specific, more detailed content (Inferential Statistics). I had no issues as I reviewed the book in terms of consistency of terms used. The chapter also does not present how the research design and threats to validity are interconnected. The text offers an introductory overview to scientific research for PhD and graduate students in social sciences. 
Reviewed by Huili Hao, Assistant Professor, University of North Carolina Wilmington on 5/21/18, This book provides an introductory and broad review of some of the key topics in social science research including research theories, research design, data collection, data analysis and research ethics Students from different disciplines in A second technique is observation. The chapters are short and very readable. The text should be able to prove useful for a research methods or as supplementary material for a statistics course for the foreseeable future. Chapter titles are hyperlinked within PDF copies to simplify navigation. The table of contents (chapter listing) makes it easy to find content. In addition, a chapter summary/conclusion would also help with summarizing the main concepts of a chapter (some chapters do have a summary, but not all chapters). The PDF version of the text worked wonderfully on a laptop, with no issues of navigation or distortion of images. There are a few minor grammatical errors in the 2nd edition, 2012. An appropriate place and reference might be within the first chapter, under the heading Types of Scientific Research, to give a nod to some of the social science fields and the importance of interdisciplinary questions across disciplinary lines. Technical terminology is explained appropriately. The author had provided accurate information with simple/straightforward examples that can be understood by students with various discipline in social science. I have not noticed any errors or bias. Graphics and charts are clear and easy to see in the online pdf version. The textbook covers the majority of what would be expected for a research methods course. It addresses all major topics of interest for instructors needing to develop student background knowledge in social science research methodology. The order of topics makes sense and is aligned with the process of conducting research. The text is easily divisible into smaller reading sections. I'd consider such knowledge essential for students, and this is the type of information I would like a text to focus on so that I can spend class time reviewing more complicated concepts students might have trouble grasping on their own. 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. In terms of depth of coverage of the topics, the text takes a minimalist approach. The text offers an introductory overview to scientific research for PhD and graduate students in social sciences. ), but it certainly gets the job done. For this reason, the book should include a few more chapters so that course instructors can have more options for a semester-long research course. Important terminologies are bolded and these are good signposts for key concepts. WebQuantitative research using statistical methods starts with the collection of data, based on the hypothesis or theory.
Research has a tendency to step on its own toes when it comes to terminology, but this text follows those conventions for the most part, making it mostly congruent with other research texts I have seen. Reviewed by Wendy Bolyard, Clinical Assistant Professor, University of Colorado Denver on 4/30/20, This text presents all the topics, and more, that I cover in my master's-level research and analytic methods course. read more. If you are analyzing existing data, such as a data set or archival documents, describe how it was originally created or gathered and by whom. Method overloading, on the other hand, refers to differentiating the code used to handle a message based on the param Social science research isn't likely to change greatly so this text should remain relevant for some time and can easily be updated to accommodate new techniques as they arise. The text provides a complete summary of the research process. My sincere thanks to this author, and to the Open Textbook Library and Scholar Commons for this text. Some chapters seem to end abruptly while other chapters have excellent summaries or conclusions.
With everything that is (has been) happening in the U.S. and world, there are many examples that can come from the social sciences. This text is not insensitive in any way. However, better consistency with terminology often used in other related fields (such as statistics) would lessen students confusion with concepts. The text covers the basic concepts in theory, research design and analysis that one would expect of a text -how to search the literature 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. The only issue Ive noticed, as indicated in other parts of the review, is depth. Overall, the text book could use more examples and applied examples, but when present, I find them culturally appropriate. The following are seven primary methods of collecting data in business analytics. The Online Survey 5. The only things that may need updating over time are any links that lead to pages that no longer exist. I found no errors in fact in the textbook. I assign the chapters in an alternative order for my undergraduate students. The text may be best used as an overview of the research process in social sciences rather than a reference. As such, the book seems to do a good job introducing all the essential concepts for graduate research, but supplemental materials are likely needed depending on instructor or student needs. By reorganizing these two modules into qualitative research methods and data analysis and quantitative research methods and data analysis, not only would improve the flow of the book, but also better serve researchers who are interested in a particular type of research. . (p. 44). 
I did not experience any navigation problems.
we must understand that sometimes, these constructs are not real . WebEducational Research: Competencies for Analysis and Applications (Gay L. R.; Mills Geoffrey E.; Airasian Peter W.) Methods of data collection, representation, and analysis. Also, the 'research process' section doesn't include a step for going through IRB review and approval, so overlooks an important step in social science research. While the notes state it is intended for graduate coursework, I would have no problem teaching in my undergraduate courses. What I liked in particular is that the author includes information on the ENTIRE research process, including I appreciate the clear and helpful context it provides on key concepts that students must understand to become effective researchers. The major primary research methods. This gives the text the feel of a word processed document converted to a PDF format, intended to be printed. There is a lack of specific examples that might lend a sense of wide scope / global appeal to the textbook, and create an inclusive atmosphere for a reader/student. I wish there was more discussion on field experiments in the experiment chapter. Abstract. Show answer Answer The structure and arrangement of the book differs from my own understandings of research and how Also, on p. 73, the author talks about "mail-in" and "telephone" surveys as a research method, and even goes on to say on p. 74 that most survey research is done by self-administered mail-in surveys with a pre-paid return envelop. Specific chapters in this book will be useful for me, from an instructor's perspective. It is a timeless - if necessarily limited - resource, and be returned to again and again. The research process could include steps involved in academic research with information on the publishing and peer review process. A glossary is not found within the text, although the table of content lists the topics covered in each of the modules. 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). Digital Quantitative Analysis 6. The text is a quick guide to considerations and terminologies used in social science research. One issue that I wonder if graduate students might prefer is if they are not already 13 chapters into a text/course and only then are they getting to a basic concept such as measures of central tendency. The book is very consistent from what I can see. most commonly-used research tools in the social sciences (Fife-Schaw, 2006). Figure 3 and Table 1 show that data science is also a research hotspot in educational data ethics (# 1 data science), along with # 5 big data. As a fellow social scientist from a high growth area (communication studies), I would appreciate even more breadth! The organization and sequence seems very logical. 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. I think that the text may lend itself to several different types WebData Collection Methods. The text is clearly organized into five modules: introduction to research, basics of empirical research, data collection, data analysis, and research ethics. In particular, types of correlational designs and mixed-methods designs would be important to include. The final chapter, 16, covers Research Ethics, which seems to have been lopped on at the end of the text. Methods: Survey research, Qualitative data collection, Data collection DOI: https:// doi. I think more detail is provided about paradigms and theories than is necessary, but those chapters and sections could be left out of course reading assignments quite easily. I have seen introductions to research that were more casual and probably fit a beginner audience better than this would, but I daresay this is intended as a core text for a graduate-level class, and for that reason, can be expected to sound less approachable and more authoritative. As the author suggests, certain chapters could be skipped depending on the program. From a structural perspective, neither the chapters nor subsections are very long because Dr. Bhattacherjee writes concisely. A review of the images/graphics and an update to them would be useful.
There are some things that should probably be included in subsequent revisions. This text is well written and I would recommend it to an individual looking for a bare bones book on basic research methods. WebMethods for collecting data Data is the information that you collect for the purposes of answering your research question.
I am left wondering if, in a PDF form, an OER textbook would be more useful with more navigation features, or if they might make the document buggy, cluttered, or otherwise affect use. I'm looking forward to adopting it for courses and using it for my own reflections on research! Dr. Bhattacherjees book, Social Science Research, is a good introductory textbook for upper-level undergraduate students and graduate students to learn about the research process. The text is consistent throughout. It is highly recommended that the readers are told about the place of exploratory and other research in social science research inquiry, rather than labeling them as scientific research.
I use this book with graduate students in education taking an initial course in education research. These topics may also be more discipline specific, where instructors of research classes can supplement with additional materials. The chapter on case study methods would benefit from discussion on the historical and comparative methods that are used in various social science disciplines, as well as some discussion on case selection methods. An overview of theory, designs, sampling, data collection, data analysis, and ethics are provided. The book is easy to read and fairly comprehensive in terms of topics covered. One needed update noticed is on page 120, where the authors cautioned that only smaller datasets can be stored in Excel and larger datasets needs a more elaborate database system. Although its intended audience is graduate students, it's a bit too basic for Ph.D. students, in my opinion.
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