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Design of Experiments in Neuroscience

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ISBN-10: 0534624154

ISBN-13: 9780534624156

Edition: 2006

Authors: Mary Harrington

List price: $118.95
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Intended to meet the needs of a student who wishes to begin research in the field of neuroscience or biological psychology, this book provides background to the scientific method, and the use of both experimental and non-experimental research designs. Using examples from published studies in neuroscience, the text discusses control of variables and analysis of results, with a focus on the logic of experimental design. Ethical issues associated with neuroscience research are considered and guidelines are described. Statistical concepts are discussed within the context of the research examples. Many exercises are provided to allow students to apply their knowledge and test their…    
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Book details

List price: $118.95
Copyright year: 2006
Publisher: Wadsworth
Publication date: 5/27/2005
Binding: Paperback
Pages: 224
Size: 7.44" wide x 9.21" long x 0.35" tall
Weight: 0.748
Language: English

Mary Harrington received a B.S. in Psychology from Pennsylvania State University, an M.A, in Psychology from the University of Toronto and a Ph.D. in Behavioral, anatomical and Physiological Studies from Dalhousie University in Canada. Currently, she is the Tippit Professor in the Life Sciences at Smith College in Massachusetts. In addition, she is a member of the Neuroscience and Behavior Program at the University of Massachusetts as Amherst and an Adjunct Member of the Center for Neuro-endocrine Studies at the University of Massachusetts, Amherst. Mary has published extensively in the Journals and has received research grants from NIH, NSF, Mellon Foundation and Pfizer. She is Associate…    

The Varieties of Scientific Experience
The Savvy Research Student
The Skeptical Consumer
What Is Science?
Recognizing Pseudoscience
Neuroscience in the Service of Pseudoscience
Tools of the Trade
Rules to Help you Recognize Pseudoscience
What Is the Scientific Method?
Epistemology for Scientists
Check Your Understanding
Think About It
Suggestions for Further Reading
Web Resources
Ethics
Research Ethics
Fraud
Plagiarism
Ethics of Animal Use
More, Please!
Just the Facts: Animal Research in the United States
Regulation of Animal Use
Human Participants
Respect for Persons
Beneficence
Justice
General Ethical Considerations
Check Your Understanding
Think About It
Suggestions for Further Reading
Web Resources
Getting Started
Picking a Question
What Are the Big Questions?
Influence of Dogma or Bias on Selecting Your Research Question
Questions to Avoid
Forming a Hypothesis
Work With a Mentor
Read, Read, Read!
More, Please!
Primary Versus Secondary Sources
Narrow Your Focus
What Makes a Good Hypothesis?
More, Please!
Model Versus Theory?
Operationalizing Your Hypothesis
Check Your Understanding
Think About It
Suggestions for Further Reading
Web Resources
What Is an Experiment?
Observational Studies
More, Please!
Scales of Measurement
Case Studies
More, Please!
Double Dissociation
The Experiment
Independent-Samples Design
Control of Other Variables
Randomization
Inferential Statistics
Drawing a Sample From a Population
Tools of the Trade
Random Elements
Testing the Null Hypothesis
The Power of the Experiment: Inferring Cause and Effect
Check Your Understanding
Think About It
Suggestions for Further Reading
Web Resources
Controlling Extraneous Variables
What Variables Need to Be Controlled?
Controlling Subject Variables
The Within-Subjects Design
The Matched-Samples Design
Attrition
Assessing an Intervention for Reading Disability
Placebo Controls
Single- and Double-Blind Strudies
Vehicle Controls and Sham Surgery
Tools of the Trade
A Few Special Concerns for Pharmacological Studies
Controlling Order Effects: Counterbalancing
Time-Series Design
When Experiments Are Impossible: Quasi-Experiments
Tools of the Trade
The Design of fMRI Experiments
Transgenic or Knockout Mice
External Validity and Internal Validity
More, Please!
A Cautionary Tale
Check Your Understanding
Think About It
Suggestions for Further Reading
Web Resources
More Than One Predictor Variable: Factorial Designs
Why Include More Than One Independent or Predictor Variable?
Describing Factorial Designs
Describing Results From Factorial Designs: Main Effects and Interactions
Examples of 2 x 2 Factorial Experiments
Example 1
Example 2
Other Designs With More Than One Independent Variable
Check Your Understanding
Think About It
Suggestions for Further Research
Web Resources
Correlational Designs
Designing a Correlational Study
Scatterplots
The Pearson Product Correlation Coefficient
Cautions in Interpreting Results From Correlational Studies
Check Your Understanding
Think About It
Suggestions for Further Reading
Web Resources
Review of All Research Designs
Check Your Understanding
Think About It
Web Resources
Working With Your Data
Writing a Research Paper
Table of Random Numbers
Review Questions and Exercises
Glossary
Answers to End-of-Chapter Questions
References
Index