Prose is direct and to the point, giving only the essential information so as to allow the learner to develop a grasp of fundamentals. There were some instances, however, where I thought wording lacked clarity or definitions needed further explanation. While this is a social science textbook, it would be helpful to have subsection in Chapter 4 that introduces at least a couple of the main health behavior theories. Because we computed them as means, they have the same 1 - 7 scales as our input variables. To me it has always just seemed like on more hoop to hop through. -disseminating research findings This makes the book quite comprehensive in that the book could be used for the length of the semester, one chapter per week. The examples were relevant and should not make the text obsolete. It was published in 2012. 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. This text is extremely and unusually well-written and clear. The concise I will to recommend it to a colleague who is teaching research methods next semester in a different department. You can model things on the log scale and then present results on the original or log scale as appropriate. The text is consistent in its overall approach to research methods as well as consistent in its use of terminology. If the mode is 0 for the -2 to +2 scale, that equates to a mode of 3 on the 1 to 5 scale. It would be very easy to divide this into smaller reading sections and assign at different time points. The book is very clear and accessible, probably largely due to its minimalist approach. The article was published; it's public. 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. Bhattacherjee holds Ph.D. and MBA degrees from the University of Houston, and M.S. It contains information essential to understanding quantitative and qualitative research. I'm assuming the author means that they are not pertinent to the hypothesis being tested (as opposed to them not being pertinent to the explanation of the dependent variable). This text is a nice overview of some of the key points in social science research. Ultimately the choice of transformation represents an implicit choice of model. This text is certainly consistent, and proceeds according to a methodical and logical structure. However, the logarithmic transformation can make sense even here, because coefficients are often more easily understood on the log scale. I have not noticed any egregious problems. Key terminology is bolded with the definition following, making it easy to identify. Is it erroneous? ASCII characters only (characters found on a standard US keyboard); must contain at least 4 different symbols; at least 1 number, 1 uppercase and 1 lowercase letter; not based on your username or email address. I did notice a discrepancy in Figure 5.1, where single case study is plotted on the graph as high in external validity, but the rest of the text frequently brought up case studies (especially single case studies) having the difficulty with generalizability which should have low external validity. The relevancy and longevity of this book are great. In terms of coverage, then, the text can be described as comprehensive in terms of topics. What was the number of days where the temperature ranged between the two values? I do like that this text is divided into 16 chapters which is perfect for a 15/16 week semester. Should have said: especially when the survey effort is varying. Apparently people do perceive logarithmically: https://rss.onlinelibrary.wiley.com/doi/pdf/10.1111/j.1740-9713.2013.00636.x. 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. Just speculating of course. Chapters can be read fairly easily in isolation without putting the reader at a disadvantage. Reviewed by Robin Bartlett, Professor, University of North Carolina at Greensboro on 12/5/16, Generally the major topics are covered. If you don't want to go through all dialogs, you can also replicate our analysis from the syntax below. For example, Chapter 2 - 'thinking like a researcher' is wonderfully written. This is a comprehensive overview of research design and research methods in the social sciences. As a fellow social scientist from a high growth area (communication studies), I would appreciate even more breadth! five point scale can be -2 to +2 as you suggest or from 1 to 5, where 3 is the neutral value. Only components with high Eigenvalues are likely to represent real underlying factors. Thats why we dont just throw our spreadsheets into a hopper and let robo-statistician do our work for us. We just dont teach this stuff properly. Incredibly clear and concise. Graphics and charts are clear and easy to see in the online pdf version. From the other direction, Im sure twitter has many virtues that blogs dont have. This is an interesting discussion. The problem in this case is not really twitter, in my opinion, but the fact that people . A glossary is not found within the text, although the table of content lists the topics covered in each of the modules. Standard texts devote most of their attention to different modes of data collection (e.g, lab experiments, field experiments, quasi-experiments, survey research, aggregate data collection, interpretive and case study methods, etc.). The content is accurate, error-free, and unbiased. This scale consists of 36 items and allows for the easy administration of periodic clinical nursing competency evaluations. It's also a good idea to inspect Cronbachs alpha for each set of variables over which you'll compute a mean or a sum score. The book is constructed in a well-organized fashion, without any issues of chapter structure. variable, not transforming it. Perhaps a companion volume could address these needs. 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. In the context of that thread I saw that as meaning "there is no study protocol available",, Watson above: "I didnt accuse them of not writing a study protocol or analysis plan, but not posting it with, Joshua, You're right, many bioethicists are fine with challenge trials for COVID and for other diseases, and some have been, "The people who make these rules are regulators and politicians" Regulators and politicians don't act in vacuum. Thanks for this tutorial. Overall, this textbook is accurate but not perfect. 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. This could be easily done based on the course instructor preference. The page layout and brief chapters make it appropriate to assign supplemental readings along with the chapter topics. The survey included 16 questions on client satisfaction. Im always surprised how little play dimensions get in discussions of statistical modeling. Luckily, research methods do not change drastically in a short period of time, so I expect the longevity of this book to be very high. We get 51 degrees when we do X minus two sigma. It looks like most of the graphics were created using PowerPoint. Enter the email address you signed up with and we'll email you a reset link. There was one strange sentence when the author was trying to contrast a liberal to a conservatives viewpoint on page 18 that made this reader feel a bit uncomfortable in how one ideological viewpoint was portrayed, but Im not sure it was necessarily bias; perhaps just the writing was a bit heavy handed. I do not log-transform response time (RT) data. 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. It provides an introduction to philosophy as well as The chapter also does not present how the However, free should not imply lower quality. Some of the best things in life such as air, water, and sunlight are free. It follows the current syllabus I use so it will require very little modifications. However, it does so at a fairly superficial level. As Daniel Lakeland pointed out, its a second-order polynomial function of the predictor x, but its a linear function of the coefficients a, b, and c. If you consider y = g(x, a, b, c, sigma) = f(x, a, b, c) + epsilon, where epsilon ~ normal(0, sigma), then you have a stochastic function. So if we predict v1 from our 4 components by multiple regression, we'll find r square = 0.596 -which is v1 s communality. 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. A common practice in less sophisticated operations is to use a cut grade when calculating anticipated ore grades from core samples, so that any analysis over 1oz/ton is cut to one ounce for the ore grade calculation. It should be noted that there is more of a focus on This is a useful model and one can add or subtract if needed. Model whats actually going on. The report has the x-axis as one variable (or question) and the y-axis as another variable. For example, if x is income, should a = $1 or $1000 or $10,000 or what? The book is written in an easy to read style. Also, I can think of and have actually seen examples (of what not to do!) For example, if the emphasis of the course will be on quantitative research, then this text is highly relevant, however, if the emphasis is on an equal balance between the traditions of qualitative and quantitative, then this text is slightly less relevant due to the more limited nature of its content in qualitative (in comparison to content on quantitative). 3/3 pic.twitter.com/R0BfQCoxdK, Roger Levy (@roger_p_levy) December 8, 2018. Unfortunately, that's not the case here. The text reminds me of my Research Methods textbook from my doctoral program. As he provided in CH.6, it might be even more helpful to have summaries for each chapter. This is known as confirmatory factor analysis. In addition, content within chapters is consistent, such as Dr. Bhattacherjees logical progression of concepts: empiricism, to positivism, to forms of analysis (qualitative and quantitative), etc. Instructors and disciplines within the social sciences vary widely in terms of their expectations of students in an introductory methods course, and thus their needs from a textbook also vary. For example, you could say the average number of servings per day for a particular item is 1.3, and then you could say that a particular treatment increases consumption by 10% (that is, it has a coef of 0.1 on the log scale). In terms of depth of coverage of the topics, the text takes a minimalist approach. Thus the z-score is 1.25.) The author suggests in the preface that the work was intended to be rearranged by sections, and I can appreciate how the chapters and structure support that statement. A glossary would be helpful as students often need to reference basic definitions as they learn these new concepts. In social science, especially education (the field I work in), masters/ doctoral students need to be introduced to the complex nature of establishing reliability and validity. Some topics are covered in less detail than in some other books I've had the chance to read / review. Since the book is organized by the research process, not by the type of research (qualitative vs. quantitative), Module 3 (Data Collection) and Module 4 (Data Analysis) cover both types of research.
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