- Paperback: 352 pages
- Publisher: Pearson; 1 edition (31 Jan 2006)
- Language English
- ISBN-10: 0205359132
- ISBN-13: 978-0205359134
- Product Dimensions: 23.3 x 19 x 1.6 cm
- Amazon Bestsellers Rank: 1,934,407 in Books (See Top 100 in Books)
- See Complete Table of Contents
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Product Description
Product Description
This concise text discusses a wide range of quantitative research methods, including advanced techniques such as logic regression, multilevel modeling, and structural equation modeling. Because the text emphasizes concepts rather than mathematics and computation formulas, it is accessible to a wide range of users of research. Professional practitioners in areas such education, business, social work, and psychology can gain an understanding of research methods sufficient to base their work on advanced research in their fields. The text discusses the quantitative designs and analytic techniques most needed by students in the social sciences and in applied disciplines such as education, social work, and business. It teaches what the various methods mean, when to use them, and how to interpret their results. Since it emphasizes general understanding rather than mathematical foundations, students are able to review a broad range of methods in a comparatively short space.
From the Back Cover
This concise text discusses a wide range of quantitative research methods, including advanced techniques such as logic regression, multilevel modeling, and structural equation modeling. Because the text emphasizes concepts rather than mathematics and computational formulas, it is accessible to a wide range of research users, Professional practitioners in areas such as education, business, social work, and psychology gain an understanding of research methods, enabling them to interpret advanced research in their fields.
Features:
• Accessibility to readers of any level, including those with no mathematics beyond elementary arithmetic and a limited background in research methods and statistics, as text discusses advanced methods with ease.
• Three part organization–The Basics, Advanced Methods, and Specialized Applications–provides instructors the flexibility to choose among advanced techniques and specialized applications.
• Real data is used to illustrate and compare the uses of analytic techniques. Students are provided with the data sets so they can use a statistical package to try out the techniques on their own.
• Integrated discussions of design and measurement as well as analysis provide students with a complete picture of the entire research process.
• Helpful and thoughtful discussion questions help instructors and students probe subjects more deeply and apply the chapters’ concepts to topics of particular interest to them. • An informative self-test comprised of multiple-choice and true-false questions concludes each chapter.
• An online Instructor’s Manual contains discussion of self-test questions and their answers, as well as hundreds of additional field-tested test questions that instructors may use for their examinations.
Package this text with [ MyLabSchool Logo ] and Research Navigator–a powerful set of online tools that bring the classroom to life!
Visit www.mylabschool.com for more information!
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5 reviews
6 of 7 people found the following review helpful
Fills an instructional void
25 May 2009
Format:Paperback
Most colleges of education require masters students to complete a basic course in research methods, typically without statistics as a prerequisite. In my experience, most of these courses rely heavily on expensive textbooks which purport to cover most methods, whether quantitative or qualitative. These large books, with rare exceptions, have the uncompromisingly didactic flavor of one who writes textbooks, yes, but has never done research. Students come away from such courses with definitions of concepts, which they soon forget, and rules of thumb and prescriptions for sample size, strength of association, and ethnographic interpretation which are arbitrary, misleading, and have nothing to do with research as it is actually done. The same courses are usually big on mastering APA style.
One reason for the popularity of this approach is that accessible instructional material which would enable students to do small-scale research projects, and to learn to critically evaluate the work of others, is hard to find. Say you have a data set; it includes variables such as income and IQ. You show students how to work with a user-friendly piece of software, perhaps SPSS, to regress income on IQ, and then introduce an obvious control variable, maybe educational attainment. Students are then asked to write a paper that includes descriptive statistics, a correlation matrix, and compares the two regression runs.
However skilled the instructor, we are asking neophyte researchers to do a great deal and to do so with a bare modicum of statistical knowledge. They badly need a readable statistics text. It should be brief but also take them further than most, at least through the rudiments of multiple regression, and then enable them make sense of what they have done.
Until Vogt wrote Quantitative Research Methods for Professionals, I doubted that such a book was possible. But here it is. As with his dictionary of research methods, Vogt writes with a lucid and succinct style which students find eminently accessible. No, they can't do the small-scale research project outlined above using just this book, but it provides a wonderfully informative complement to in-class instruction. Students have apprised me that while the book and my in-class instruction go well together, the book is more useful.
One reason for the popularity of this approach is that accessible instructional material which would enable students to do small-scale research projects, and to learn to critically evaluate the work of others, is hard to find. Say you have a data set; it includes variables such as income and IQ. You show students how to work with a user-friendly piece of software, perhaps SPSS, to regress income on IQ, and then introduce an obvious control variable, maybe educational attainment. Students are then asked to write a paper that includes descriptive statistics, a correlation matrix, and compares the two regression runs.
However skilled the instructor, we are asking neophyte researchers to do a great deal and to do so with a bare modicum of statistical knowledge. They badly need a readable statistics text. It should be brief but also take them further than most, at least through the rudiments of multiple regression, and then enable them make sense of what they have done.
Until Vogt wrote Quantitative Research Methods for Professionals, I doubted that such a book was possible. But here it is. As with his dictionary of research methods, Vogt writes with a lucid and succinct style which students find eminently accessible. No, they can't do the small-scale research project outlined above using just this book, but it provides a wonderfully informative complement to in-class instruction. Students have apprised me that while the book and my in-class instruction go well together, the book is more useful.
3 of 3 people found the following review helpful
Good way to introduce quantitative methods
17 Sep 2009
Format:Paperback
It's a good and practical form to introduce in quantitative methods, especially for those not experts in the field.
5 of 6 people found the following review helpful
Buy It!
10 Sep 2007
Format:Paperback
This is an excellent resoure for anyone conducting survey research. It's complete, provides easy to understand examples, and is structured in a way that guides the reader to a grasp of the material.
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