RESEARCH DESIGN EXPLAINED provides students with an appreciation of science's excitement and relevance to psychology, by explaining concepts clearly and using real-life analogies and examples. Authors Mitchell and Jolley help students to develop a true understanding of research design, rather than simply memorizing terms, by focusing on important, fundamental concepts and demonstrating the logic behind research design.
FREE Two-Day Shipping for students on millions of items. Learn more |
| ||||||||||||||||||||||||||||||
|
There is a newer edition of this item:
|
Book Description
Editorial Reviews
About the Author
After graduating summa cum laude from Washington and Lee University, Mark L. Mitchell received his M.A. and Ph.D. degrees in psychology at The Ohio State University. He has co-authored (with Janina Jolley and Robert O'Shea) WRITING FOR PSYCHOLOGY: A GUIDE FOR STUDENTS. His professional affiliations include American Psychological Association, Society for the Teaching of Psychology, American Psychological Society, Council of Teachers of Undergraduate Psychology, Phi Kappa Phi, and Phi Beta Kappa. He is currently a Professor at Clarion University, a loyal Buckeye fan, and the proud father of Moriah Mae Mitchell.
Janina M. Jolley graduated with "Great Distinction" from California State University at Dominquez Hills and earned her M.A. and Ph.D. in Psychology from The Ohio State University. She is currently an executive editor of "The Journal of Genetic Psychology" and "Genetic Psychology Monographs" and Professor of Psychology at Clarion University. Her professional affiliations include Middle-Eastern Honor Association (President 1999Â-2000; Vice-President 1998Â-1999), American Psychological Association (Division 2: Teaching of Psychology and Division 20: Adult Development and Aging), American Psychological Society, Council of Teachers of Undergraduate Psychology, The Midwestern Psychological Association, and Phi Kappa Phi. Her hobbies include flying, Civil Air Patrol, biking, and spending time with her family.
Janina M. Jolley graduated with "Great Distinction" from California State University at Dominquez Hills and earned her M.A. and Ph.D. in Psychology from The Ohio State University. She is currently an executive editor of "The Journal of Genetic Psychology" and "Genetic Psychology Monographs" and Professor of Psychology at Clarion University. Her professional affiliations include Middle-Eastern Honor Association (President 1999Â-2000; Vice-President 1998Â-1999), American Psychological Association (Division 2: Teaching of Psychology and Division 20: Adult Development and Aging), American Psychological Society, Council of Teachers of Undergraduate Psychology, The Midwestern Psychological Association, and Phi Kappa Phi. Her hobbies include flying, Civil Air Patrol, biking, and spending time with her family.
Product Details
Would you like to update product info or give feedback on images?
|
More About the Author
Discover books, learn about writers, read author blogs, and more.
Customer Reviews
|
Share your thoughts with other customers:
|
||||||||||||||||||||||
|
Most Helpful Customer Reviews
6 of 6 people found the following review helpful:
5.0 out of 5 stars
Comprehending Reasearch Design 101,
By TastyBabySyndrome "Matthew Lewis, author of M... ("Daddy Dagon's Daycare" - Proud Sponsor of the Little Tendril Baseball Team, USA) - See all my reviews (VINE VOICE)
This review is from: Research Design Explained (Hardcover)
So you want to learn how to set up a psychological inquiry but you don't exactly know how to go about it? Well, this book is pretty good at helping you along. It takes the time to walk you through the "do" and the "don't" that comes with gathering useful data, and it actually keeps a pace that isn't too slow and it isn't to fast, and it doesn't make drastic leaps and expect you to keep up. It actually starts a ground level, showcasing what is good and what isn't when it comes to research topics, and sets in motion a process that walks you through the objects an experiment should set out to achieve. This expands as the book focuses, and walks you through Set-Up Chapters 1-5), Simple Experiments (Chapter 6, Multiple-Group Experiments (Chapter 7), Factorial Designs (Chapter 8), Within-Subjects Designs (Chapter 9), how to read and evaluate your data, and how to pull it all together and write your research proposal/ reports.
The book itself is very user friendly, and it takes a lot of the sting out of statistics. Too often a book is written from a point of view that reads like an archaic tome, and too often people are frightened by it and chased off by the thoughts dry literature attempts to express. That's why I like this book, because it takes ideas and boils them down to a simplistic form, allowing a person that really doesn't understand the subject to walk with the author as the experiments build. That isn't to say that all the processes are without fault, mind you, because a lot of experimentation leads to hitting brick walls and readjusting your trajectory so you can succeed. The book tries to teach you ways to keep from doing that, however, much like a driver's manual tries to show you the road before you hit the highway. If you're looking into the subject, its good stuff and would explain alot of the statistics you get hit with everyday. If you're looking at it as a student, it can teach you about generating concepts. Note that you should be using it should in collaboration with a statistics package (I'm currently using SPSS to gather my empirical data, but the program used isn't as important as having one so you can understand how factors actually "plug in") and the APA manual (5th edition, currently) if you're doing a project or simply want to know how to draft a proposal. Ah, the joys of scientific postulation.
10 of 12 people found the following review helpful:
5.0 out of 5 stars
Reader-friendly book with incredible on-line support.,
By A Customer
This review is from: Research Design Explained (Hardcover)
A book that helps students make sense of research methods. The book uses clear examples, summary tables, end-of-chapter glossaries that define key terms and explain the relationships between terms, and a very simple writing style. In addition, students and professors can access free computerized tutorials as well as web pages for each chapter by going to the book's home page at http://spsp.clarion.edu/RDE3/Start/RDE3start.html
1 of 1 people found the following review helpful:
5.0 out of 5 stars
Good info,
By
Amazon Verified Purchase(What's this?)
This review is from: Research Design Explained (Hardcover)
This book starts simple and lets you understand the basics so that when you get to the advanced topics its not such a step up.
Share your thoughts with other customers: Create your own review
|
|
Inside This Book
(learn more)
Browse and search another edition of this book.
Browse and search another edition of this book.
Key Phrases - Statistically Improbable Phrases (SIPs):
(learn more)
factorial experiment, mixed designs, measuring behavior, analyzing survey data, empty control group, random observer error, negative statements condition, post hoc trend analysis, hot room group, two simple main effects, positive statements condition, positive statements line, counterbalancing interaction, independent random assignment, positive statements participants, slow presentation condition, fast presentation condition, nontreatment variables, positive statements groups, interobserver reliability coefficient, statement type simple, counterbalancing sequence, discriminant validity relative, nonexperimental factor, treatment carryover effects Key Phrases - Capitalized Phrases (CAPs): (learn more)
Concluding Remarks, Matched Pairs, Expanding the Experiment, Survey Research, Practice Quiz, Web Appendix, Analyzing Data From Descriptive Studies, American Psychological Association, Relationships Between Variables, Replicating Research, Participant Number, Single-n Designs, Writing the Research Proposal, Scales of Measurement, Latin Square, Bromo Tech, Multiple-Group Experiments, Sources of Data, Putting It All Together, Psychological Abstracts, Detect the Differences You Need, Understand Science Rather Than Relying Only, Will the Measure Be Able, Knowing Problems Quote, Head Start Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
factorial experiment, mixed designs, measuring behavior, analyzing survey data, empty control group, random observer error, negative statements condition, post hoc trend analysis, hot room group, two simple main effects, positive statements condition, positive statements line, counterbalancing interaction, independent random assignment, positive statements participants, slow presentation condition, fast presentation condition, nontreatment variables, positive statements groups, interobserver reliability coefficient, statement type simple, counterbalancing sequence, discriminant validity relative, nonexperimental factor, treatment carryover effects Key Phrases - Capitalized Phrases (CAPs): (learn more)
Concluding Remarks, Matched Pairs, Expanding the Experiment, Survey Research, Practice Quiz, Web Appendix, Analyzing Data From Descriptive Studies, American Psychological Association, Relationships Between Variables, Replicating Research, Participant Number, Single-n Designs, Writing the Research Proposal, Scales of Measurement, Latin Square, Bromo Tech, Multiple-Group Experiments, Sources of Data, Putting It All Together, Psychological Abstracts, Detect the Differences You Need, Understand Science Rather Than Relying Only, Will the Measure Be Able, Knowing Problems Quote, Head Start Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Surprise Me!
What Other Items Do Customers Buy After Viewing This Item?
Suggested Tags from Similar Products(What's this?)Be the first one to add a relevant tag (keyword that's strongly related to this product).
|
Customer Discussions
|
This product's forum
Active discussions in related forums
Search Customer Discussions
|
Related forums
|
