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Becoming a Behavioral Science Researcher, Second Edition: A Guide to Producing Research That Matters 2nd edition [Kietas viršelis]

3.77/5 (22 ratings by Goodreads)
(Concordia University, Canada)
  • Formatas: Hardback, 364 pages, aukštis x plotis: 234x156 mm, weight: 764 g
  • Išleidimo metai: 06-Dec-2019
  • Leidėjas: Guilford Press
  • ISBN-10: 1462541283
  • ISBN-13: 9781462541287
Kitos knygos pagal šią temą:
  • Formatas: Hardback, 364 pages, aukštis x plotis: 234x156 mm, weight: 764 g
  • Išleidimo metai: 06-Dec-2019
  • Leidėjas: Guilford Press
  • ISBN-10: 1462541283
  • ISBN-13: 9781462541287
Kitos knygos pagal šią temą:
Acclaimed for helping novice behavioral scientists hit the ground running as producers of meaningful research, this text now has been extensively revised with more than 50% new material, including current guidance on open science; transparency; replication; and quantitative, qualitative, and mixed methods reporting standards. The book provides the conceptual knowledge and practical skills needed to bridge the gap between introductory research design and analysis courses and execution of an independent study. In a candid, conversational style, Rex B. Kline guides the reader to choose appropriate research designs and analysis options; avoid common fallacies in interpreting the outcomes of statistical tests; make informed measurement choices; screen data for problems that could yield inaccurate results; and craft effective theses, journal articles, and presentations. Revised pedagogical features include engaging examples from published studies and student theses, as well as end-of-chapter exercises with answers.
 
New to This Edition
*Addresses critical "research crises" that have come to the fore in the last decade--and ways to remedy them.
*New chapters on the replication crisis, reporting standards, the open-science movement, and statistics reform.
*Extensively revised chapters on effect size estimation and psychometrics.
*Updated discussions of how to write publishable journal articles and create effective presentations.


Acclaimed for helping novice behavioral scientists hit the ground running as producers of meaningful research, this text now has been extensively revised with more than 50% new material, including current guidance on open science; transparency; replication; and quantitative, qualitative, and mixed methods reporting standards. The book provides the conceptual knowledge and practical skills needed to bridge the gap between introductory research design and analysis courses and execution of an independent study. In a candid, conversational style, Rex B. Kline guides the reader to choose appropriate research designs and analysis options; avoid common fallacies in interpreting the outcomes of statistical tests; make informed measurement choices; screen data for problems that could yield inaccurate results; and craft effective theses, journal articles, and presentations. Revised pedagogical features include engaging examples from published studies and student theses, as well as end-of-chapter exercises with answers.
 
New to This Edition
*Addresses critical "research crises" that have come to the fore in the last decade--and ways to remedy them.
*New chapters on the replication crisis, reporting standards, the open-science movement, and statistics reform.
*Extensively revised chapters on effect size estimation and psychometrics.
*Updated discussions of how to write publishable journal articles and create effective presentations.
 

Recenzijos

"This book is perfect for upper-level undergraduate or graduate-level thesis students. Kline takes the next step in treating psychology as a science. He argues for thoughtful, rigorous, and transparent research, because it will make our knowledge base more reproducible. He argues for effect size estimation taking precedence over significance testing, because a mature science asks not 'Yes or no?,' but rather 'How much?' I know of no other intermediate-level text that places front and center the need to register and replicate research, to prepare reports using disciplinary guidelines, and to share data. It is wonderful to see these developments making their way into a text meant to teach the fundamentals of research design and analysis. This is truly a new book for a new time."--Harris M. Cooper, PhD, Hugo L. Blomquist Professor, Department of Psychology and Neuroscience, Duke University

An outstanding book is now even better! In the decade since the first edition, weve seen the replication crisis and, in reply, the rise of open science. Researchers now need a deep understanding of preregistration, replication, the new statistics, the dangers of p hacking, and much, much more. Kline once again speaks with great authority and clarity in providing the ideal guide for beginning researchers finding their way in a rapidly changing research world. Every graduate student and postdoc in psychology needs this book as a constant companion. It will also be of great value for education and other social and behavioral sciences."--Geoff Cumming, DPhil, Professor Emeritus, School of Psychology and Public Health, La Trobe University, Melbourne, Australia

This book is different in that it bridges the gap between how research methods are traditionally taught and how they are put into practice. As such, it can help researchers apply the concepts they are learning about. I applaud the updated coverage of qualitative studies and the practical information about what researchers should know about significance testing. This information fills in concepts that are sometimes missing in graduate research education.--Julie Peterson Combs, EdD, Department of Educational Leadership, Sam Houston State University

Klines writing is excellent and entertaining. In the second edition, the chapter on research crises is excellent and much needed, and the open-science chapter provides great database resources for students. I use this book as a supplemental text in my classes and recommend it to colleagues."--Craig D. Marker, PhD, Department of Clinical Psychology, Mercer University

This excellent resource supports students' evolving understanding of the planning, implementation, and analysis of independent research. For example, the chapter on analysis leads readers through a step-by-step process of thinking about their data. I recommend Klines book for both class use and independent honors, masters thesis, and dissertation guidance. It is a 'must read' for my students at all levels."--Diana P. F. Montague, PhD, Department of Psychology, La Salle University-This book represents an insightful perspective on many topics related to beginning a behavioral science research career.The domain of behavioral science is expanding to data science, big data, and data analytics, artificial intelligence, and the behavior of machines. Kline focuses on many issues that are central to psychology, as well as other disciplines.The book showcases the author's depth of understanding of many aspects of behavioral science research as well as expertise reflected in his research and publications. Kline authoritatively presents a well-organized review and analysis of important issues in behavioral science research.--Family and Consumer Research Journal, 9/1/2020An extremely flexible resource that can be used in a variety of classes.Because of Kline's wonderfully comprehensive work, the book is an easy reference for all researchers looking for more modern approaches to research design and analysis. Even the most informed psychologist is likely to learn something by reading this book....A superb resource for students and teachers alike....It would enhance any psychology curriculum and help the students of today become first-rate researchers of tomorrow. (on the first edition)--PsycCRITIQUES, 6/1/2009This could easily be a standalone book for a course or seminar as well as a supplemental text for any graduate or advanced level course in research methods....I love this book. (on the first edition)--Doody's Review Service, 2/20/2009Recommended. Graduate students through researchers and faculty. (on the first edition)--Choice Reviews, 2/3/2009 "This book is perfect for upper-level undergraduate or graduate-level thesis students. Kline takes the next step in treating psychology as a science. He argues for thoughtful, rigorous, and transparent research, because it will make our knowledge base more reproducible. He argues for effect size estimation taking precedence over significance testing, because a mature science asks not 'Yes or no?,' but rather 'How much?' I know of no other intermediate-level text that places front and center the need to register and replicate research, to prepare reports using disciplinary guidelines, and to share data. It is wonderful to see these developments making their way into a text meant to teach the fundamentals of research design and analysis. This is truly a new book for a new time."--Harris M. Cooper, PhD, Hugo L. Blomquist Professor, Department of Psychology and Neuroscience, Duke University

An outstanding book is now even better! In the decade since the first edition, weve seen the replication crisis and, in reply, the rise of open science. Researchers now need a deep understanding of preregistration, replication, the new statistics, the dangers of p hacking, and much, much more. Kline once again speaks with great authority and clarity in providing the ideal guide for beginning researchers finding their way in a rapidly changing research world. Every graduate student and postdoc in psychology needs this book as a constant companion. It will also be of great value for education and other social and behavioral sciences."--Geoff Cumming, DPhil, Professor Emeritus, School of Psychology and Public Health, La Trobe University, Melbourne, Australia

This book is different in that it bridges the gap between how research methods are traditionally taught and how they are put into practice. As such, it can help researchers apply the concepts they are learning about. I applaud the updated coverage of qualitative studies and the practical information about what researchers should know about significance testing. This information fills in concepts that are sometimes missing in graduate research education.--Julie Peterson Combs, EdD, Department of Educational Leadership, Sam Houston State University

Klines writing is excellent and entertaining. In the second edition, the chapter on research crises is excellent and much needed, and the open-science chapter provides great database resources for students. I use this book as a supplemental text in my classes and recommend it to colleagues."--Craig D. Marker, PhD, Department of Clinical Psychology, Mercer University

This excellent resource supports students' evolving understanding of the planning, implementation, and analysis of independent research. For example, the chapter on analysis leads readers through a step-by-step process of thinking about their data. I recommend Klines book for both class use and independent honors, masters thesis, and dissertation guidance. It is a 'must read' for my students at all levels."--Diana P. F. Montague, PhD, Department of Psychology, La Salle University-This book represents an insightful perspective on many topics related to beginning a behavioral science research careerā¦.The domain of behavioral science is expanding to data science, big data, and data analytics, artificial intelligence, and the behavior of machines. Kline focuses on many issues that are central to psychology, as well as other disciplinesā¦.The book showcases the author's depth of understanding of many aspects of behavioral science research as well as expertise reflected in his research and publications. Kline authoritatively presents a well-organized review and analysis of important issues in behavioral science research.--Family and Consumer Research Journal, 9/1/2020ĘĘAn extremely flexible resource that can be used in a variety of classesā¦.Because of Kline's wonderfully comprehensive work, the book is an easy reference for all researchers looking for more modern approaches to research design and analysis. Even the most informed psychologist is likely to learn something by reading this book....A superb resource for students and teachers alike....It would enhance any psychology curriculum and help the students of today become first-rate researchers of tomorrow. (on the first edition)--PsycCRITIQUES, 6/1/2009ĘĘThis could easily be a standalone book for a course or seminar as well as a supplemental text for any graduate or advanced level course in research methods....I love this book. (on the first edition)--Doody's Review Service, 2/20/2009ĘĘRecommended. Graduate students through researchers and faculty. (on the first edition)--Choice Reviews, 2/3/2009

PART I PROMISE AND PROBLEMS
1 Introduction
3(11)
Transitions
3(1)
Not Yet Ready for Prime Time
4(1)
Write and Speak
5(2)
What Thesis Students Say They Need
7(1)
Career Paths for Behavioral Scientists
7(3)
Plan of the Book
10(3)
Summary
13(1)
Recommended Readings
13(1)
2 Research Trinity: Design, Measurement, and Analysis
14(34)
Overview
14(1)
Design
15(8)
Measurement
23(2)
Analysis
25(2)
Randomized Designs
27(6)
Controlled Quasi-Experimental Designs
33(5)
Uncontrolled Quasi-Experimental Designs
38(1)
Longitudinal Designs
39(2)
Cross-Sectional Designs
41(2)
Options for Comparing Nonequivalent Groups
43(2)
Summary
45(1)
Recommended Readings
45(1)
Exercises
46(1)
Answers
47(1)
3 Crises
48(27)
Psychology at the Fore
49(1)
Crisis as Internal Conflict
50(3)
Replication Crisis
53(7)
Significance Testing Crisis
60(5)
Reporting Crisis
65(3)
Measurement Crisis
68(1)
Science 2.0
69(1)
Summary
70(1)
Recommended Readings
71(4)
PART II REMEDIES
4 Reporting Standards: Quantitative, Qualitative and Mixed Methods Research
75(28)
Definitions of Reporting Standards
76(1)
Quantitative, Qualitative, and Mixed Methods Research
77(3)
APA Reporting Standards for Quantitative Research
80(15)
APA Reporting Standards for Qualitative and Mixed Methods Research
95(5)
EQUATOR Network and Other Reporting Standards
100(1)
Summary
101(1)
Recommended Readings
101(1)
Exercises
101(1)
Answers
102(1)
5 Open Science
103(15)
What Is Open Science?
104(2)
Open Access
106(3)
Open Data
109(3)
Open Source and Tools
112(2)
Transparency Guidelines and Open-Science Badges
114(2)
Rays of Hope with More to Do
116(1)
Summary
117(1)
Recommended Readings
117(1)
6 Statistics Reform
118(30)
Review and Query
118(1)
Rough Starts
119(1)
What Statistical Significance Really Means
120(4)
Big Five Misinterpretations
124(3)
Other Confusions
127(2)
Fantasy Land
129(1)
Other Problems with Significance Testing
130(4)
Big Nine Requirements
134(2)
Reforms of Significance Testing
136(4)
Best-Practice Recommendations
140(4)
Summary
144(1)
Recommended Readings
144(1)
Exercises
144(1)
Answers
145(1)
Appendix 6.A Significance Testing Glossary
146(2)
7 Effect Size
148(37)
Size Matters
149(1)
Characteristics of Effect Sizes
150(3)
Comparing Two Groups on Continuous Outcomes
153(9)
Comparing Groups on Continuous Outcomes in More Complex Designs
162(3)
Partial Eta-Squared
165(5)
Effect Sizes for Dichotomous Outcomes
170(5)
Extended Example
175(3)
Clinical Significance
178(1)
Say No to T-Shirt Effect Sizes
179(2)
Summary
181(1)
Recommended Readings
182(1)
Exercises
182(1)
Answers
183(1)
Appendix 7.A Source Tables for Two Factorial Examples
184(1)
8 Psychometrics
185(38)
Chapter Scope and Organization
186(1)
Classical Test Theory
187(1)
Measurement Overview
188(1)
Multiple-Item Measurement
189(3)
Composite Scores
192(1)
Reliability Coefficients
193(3)
Consequences of Low Reliability
196(1)
Factors That Affect Reliability
197(1)
Reliability Methods and Coefficients
198(9)
The Prophecy Formula Revisited
207(1)
Validity Methods and Coefficients
208(5)
Reporting Standards for Psychometrics
213(1)
Checklist for Evaluating Measures
213(2)
Translating Tests
215(1)
Modern Psychometric Methods
216(3)
Summary
219(1)
Recommended Readings
219(1)
Exercises
220(1)
Answers
220(3)
PART III SKILLS
9 Practical Data Analysis
223(32)
Vision First
223(1)
Parsimony Next
224(2)
Computer Tools
226(2)
Error Checking
228(1)
Data Screening
229(2)
Proofread for Data Entry Errors
231(2)
Assess Descriptive Statistics
233(2)
Check Distribution Shape
235(6)
Evaluate the Nature and Amount of Missing Data
241(4)
Inspect Bivariate Relations
245(5)
Appraise Quality of Test Scores
250(2)
Categorization Evils
252(1)
Summary
252(1)
Recommended Readings
253(1)
Exercises
253(1)
Answers
254(1)
10 Writing
255(34)
Getting Started
255(3)
Maladaptive Beliefs
258(2)
Style Guides
260(1)
General Principles of Good Writing
261(7)
Principles of Good Scientific Writing
268(2)
Writing Sections of Quantitative Studies
270(14)
Plagiarism
284(1)
Ready for the Big Time
285(1)
Summary
286(1)
Recommended Readings
287(1)
Exercises
287(1)
Answers
288(1)
11 Presentations
289
80/20 Rule for Presentations
290(1)
Target the Audience
291(1)
Hone the Message
292(3)
ABC Style and Death by PowerPoint
295(3)
More PowerPoint and Other Presentation Mistakes
298(3)
Minimalism as an Alternative Style
301(4)
Handouts (Takeaways)
305(3)
Presenting Yourself
308(2)
Stage Fright
310(1)
Other Issues
311(2)
Summary
313(2)
Recommended Readings
315(1)
Exercises
315(1)
Answers
315(1)
Appendix 11.A Example Thesis Student Slideshow
316(2)
Appendix 11.B Example Handout
318(3)
References
321(22)
Author Index
343(7)
Subject Index
350(14)
About the Author
364
Rex B. Kline, PhD, is Professor of Psychology at Concordia University in Montréal, Québec, Canada. Since earning a doctorate in clinical psychology, he has conducted research on the psychometric evaluation of cognitive abilities, behavioral and scholastic assessment of children, structural equation modeling, training of researchers, statistics reform in the behavioral sciences, and usability engineering in computer science. Dr. Kline has published a number of chapters and journal articles in these areas. His books include Principles and Practice of Structural Equation Modeling, Fourth Edition, and Becoming a Behavioral Science Researcher, Second Edition.