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Becoming a behavioral science researcher a guide to producing research that matters Rex B. Kline.

Por: Detalles de publicación: New York Guilford Press c2009.Descripción: xii, 367 p. ill. (some col.) 24 cmISBN:
  • 9781593858377 (pbk. : alk. paper)
Tema(s): Clasificación CDD:
  • 150.72 K654b 22
Clasificación LoC:
  • BF76.5 .K54 2009
Recursos en línea:
Contenidos:
Promise and problems -- Introduction -- Not ready for prime time -- What students say they need -- Plan of the book -- Career paths for behavioral scientists -- The good, the bad, and the (really) ugly of behavioral science research -- The good -- The bad -- The (really) ugly -- Why? -- Concepts -- The research trinity -- Trinity overview -- Design -- Measurement -- Analysis -- Internal validity -- Construct validity -- Conclusion validity -- External validity and sampling -- Design and analysis -- Chapter overview -- From question to design -- Experimental designs -- Controlled quasi-experimental designs -- Nonequivalent-group designs -- Regression-discontinuity designs -- Other quasi-experimental designs -- Nonexperimental designs -- Resources for learning more -- The truth about statistics -- Study strategy -- A dozen truths about statistics -- What statistical significance really means -- Misinterpretations of statistical significance -- Why are there so many myths? -- Other drawbacks of statistical tests -- In defense of statistical tests -- Recommendations for changing times -- Appendix: Review of statistics fundamentals -- Effect size estimation -- Contexts for estimating effect size -- Families of parametric effect sizes -- Estimating effect size when comparing two samples -- Measures of association for more complex designs -- Effect sizes for dichotomous outcomes -- T-shirt effect sizes, importance, and cautions -- Approximate confidence intervals -- Research examples -- Appendix: Noncentrality interval estimation for effect sizes -- Measurement -- Chapter scope -- The critical yet underappreciated role of measurement -- Measurement process overview -- Resources for finding measures -- Adapting or translating tests -- Evaluation of score reliability and validity -- Checklist for evaluating measures -- Recent developments in test theory -- Skills -- Practical data analysis -- Vision first, then simplicity -- Managing complex analyses (batch to the future) -- Data screening -- Writing -- Plagiarism and academic integrity -- Writing as learning -- Getting started -- The role of style guides -- General principles of good writing -- Principles of good scientific writing -- Writing sections of empirical studies -- Effective graphical displays -- Ready for the big time -- Appendix: Example results section -- Presentations -- Challenges of oral presentations -- Problems with PowerPoint presentations -- Principles for creating effective PowerPoint presentations -- Lessons from multimedia learning -- Other PowerPoint issues -- Poster presentations -- Appendix: example slides, handout, and poster.
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Descripciones mejoradas de Syndetics:

This book has been replaced by Becoming a Behavioral Science Researcher, Second Edition , ISBN 978-1-4625-3879-9.

Includes bibliographical references (p. 333-346) and indexes.

Promise and problems -- Introduction -- Not ready for prime time -- What students say they need -- Plan of the book -- Career paths for behavioral scientists -- The good, the bad, and the (really) ugly of behavioral science research -- The good -- The bad -- The (really) ugly -- Why? -- Concepts -- The research trinity -- Trinity overview -- Design -- Measurement -- Analysis -- Internal validity -- Construct validity -- Conclusion validity -- External validity and sampling -- Design and analysis -- Chapter overview -- From question to design -- Experimental designs -- Controlled quasi-experimental designs -- Nonequivalent-group designs -- Regression-discontinuity designs -- Other quasi-experimental designs -- Nonexperimental designs -- Resources for learning more -- The truth about statistics -- Study strategy -- A dozen truths about statistics -- What statistical significance really means -- Misinterpretations of statistical significance -- Why are there so many myths? -- Other drawbacks of statistical tests -- In defense of statistical tests -- Recommendations for changing times -- Appendix: Review of statistics fundamentals -- Effect size estimation -- Contexts for estimating effect size -- Families of parametric effect sizes -- Estimating effect size when comparing two samples -- Measures of association for more complex designs -- Effect sizes for dichotomous outcomes -- T-shirt effect sizes, importance, and cautions -- Approximate confidence intervals -- Research examples -- Appendix: Noncentrality interval estimation for effect sizes -- Measurement -- Chapter scope -- The critical yet underappreciated role of measurement -- Measurement process overview -- Resources for finding measures -- Adapting or translating tests -- Evaluation of score reliability and validity -- Checklist for evaluating measures -- Recent developments in test theory -- Skills -- Practical data analysis -- Vision first, then simplicity -- Managing complex analyses (batch to the future) -- Data screening -- Writing -- Plagiarism and academic integrity -- Writing as learning -- Getting started -- The role of style guides -- General principles of good writing -- Principles of good scientific writing -- Writing sections of empirical studies -- Effective graphical displays -- Ready for the big time -- Appendix: Example results section -- Presentations -- Challenges of oral presentations -- Problems with PowerPoint presentations -- Principles for creating effective PowerPoint presentations -- Lessons from multimedia learning -- Other PowerPoint issues -- Poster presentations -- Appendix: example slides, handout, and poster.

Tabla de contenidos provista por Syndetics

  • I Promise and Problems
  • 1 Introduction(p. 3)
  • Not Ready for Prime Time(p. 4)
  • What Students Say They Need(p. 7)
  • Plan of the Book(p. 7)
  • Career Paths for Behavioral Scientists(p. 10)
  • Summary(p. 12)
  • Recommended Readings(p. 13)
  • 2 The Good, the Bad, and the (Really) Ugly of Behavioral Science Research(p. 15)
  • The Good(p. 16)
  • The Bad(p. 21)
  • The (Really) Ugly(p. 27)
  • Why?(p. 30)
  • Summary(p. 34)
  • Recommended Readings(p. 34)
  • II Concepts
  • 3 The Research Trinity(p. 39)
  • Trinity Overview(p. 39)
  • Design(p. 41)
  • Measurement(p. 46)
  • Analysis(p. 47)
  • Internal Validity(p. 54)
  • Construct Validity(p. 62)
  • Conclusion Validity(p. 64)
  • External Validity and Sampling(p. 67)
  • Summary(p. 70)
  • Recommended Readings(p. 71)
  • Exercises(p. 71)
  • 4 Design and Analysis(p. 73)
  • Chapter Overview(p. 74)
  • From Question to Design(p. 74)
  • Experimental Designs(p. 76)
  • Controlled Quasi-Experimental Designs(p. 92)
  • Nonequivalent-Group Designs(p. 94)
  • Regression-Discontinuity Designs(p. 103)
  • Other Quasi-Experimental Designs(p. 107)
  • Nonexperimental Designs(p. 111)
  • Resources for Learning More(p. 112)
  • Summary(p. 112)
  • Recommended Readings(p. 114)
  • Exercises(p. 114)
  • 5 The Truth about Statistics(p. 117)
  • Study Strategy(p. 117)
  • A Dozen Truths about Statistics(p. 118)
  • What Statistical Significance Really Means(p. 121)
  • Misinterpretations of Statistical Significance(p. 124)
  • Why Are There So Many Myths?(p. 130)
  • Other Drawbacks of Statistical Tests(p. 132)
  • In Defense of Statistical Tests(p. 135)
  • Recommendations for Changing Times(p. 136)
  • Summary(p. 138)
  • Recommended Readings(p. 138)
  • Exercises(p. 139)
  • Appendix 5.1 Review of Statistics Fundamentals(p. 140)
  • 6 Effect Size Estimation(p. 153)
  • Contexts for Estimating Effect Size(p. 154)
  • Families of Parametric Effect Sizes(p. 155)
  • Estimating Effect Size When Comparing Two Samples(p. 158)
  • Measures of Association for More Complex Designs(p. 166)
  • Effect Sizes for Dichotomous Outcomes(p. 169)
  • T-Shirt Effect Sizes, Importance, and Cautions(p. 172)
  • Approximate Confidence Intervals(p. 175)
  • Research Examples(p. 178)
  • Summary(p. 184)
  • Recommended Readings(p. 184)
  • Exercises(p. 185)
  • Appendix 6.1 Noncentrality Interval Estimation for Effect Sizes(p. 186)
  • 7 Measurement(p. 191)
  • Chapter Scope(p. 191)
  • The Critical Yet Underappreciated Role of Measurement(p. 193)
  • Measurement Process Overview(p. 194)
  • Resources for Finding Measures(p. 200)
  • Adapting or Translating Tests(p. 204)
  • Evaluation of Score Reliability and Validity(p. 205)
  • Checklist for Evaluating Measures(p. 216)
  • Recent Developments in Test Theory(p. 217)
  • Summary(p. 220)
  • Recommended Readings(p. 221)
  • Exercises(p. 221)
  • III Skills
  • 8 Practical Data Analysis(p. 225)
  • Vision First, Then Simplicity(p. 225)
  • Managing Complex Analyses (Batch to the Future)(p. 229)
  • Data Screening(p. 233)
  • Summary(p. 249)
  • Recommended Readings(p. 249)
  • Exercises(p. 250)
  • 9 Writing(p. 253)
  • Plagiarism and Academic Integrity(p. 253)
  • Writing as Learning(p. 254)
  • Getting Started(p. 254)
  • The Role of Style Guides(p. 255)
  • General Principles of Good Writing(p. 256)
  • Principles of Good Scientific Writing(p. 261)
  • Writing Sections of Empirical Studies(p. 263)
  • Effective Graphical Displays(p. 273)
  • Ready for the Big Time(p. 276)
  • Summary(p. 278)
  • Recommended Readings(p. 279)
  • Appendix 9.1 Example Results Section(p. 280)
  • 10 Presentations(p. 283)
  • Challenges of Oral Presentations(p. 283)
  • Problems with PowerPoint Presentations(p. 286)
  • Principles for Creating Effective PowerPoint Presentations(p. 289)
  • Lessons from Multimedia Learning(p. 299)
  • Other PowerPoint Issues(p. 300)
  • Poster Presentations(p. 302)
  • Summary(p. 305)
  • Recommended Readings(p. 305)
  • Exercises(p. 306)
  • Appendix 10.1 Example Slides, Handout, and Poster(p. 307)
  • Suggested Answers to Exercises(p. 313)
  • References(p. 333)
  • Author Index(p. 347)
  • Subject Index(p. 353)
  • About the Author(p. 367)

Reseñas proporcionadas por Syndetics

CHOICE Review

Where do budding scholars turn when their mentors are unavailable? Whom should graduate students approach when a methodological or statistical consultant is nowhere to be found? The answer to these questions may well be this tightly written book. Kline (Concordia Univ., Canada) designed this book as a reference for those dealing with the all-too-common knowledge or procedural gaps that affect advanced students and newly minted PhDs. His goal is to help these researchers create and conduct programmatic research on a defined topic while also making them aware of the strengths and drawbacks of various research designs. Well written and for the most part succinct, the book is not for the uninitiated: Kline's to-the-point style provides depth for veterans of methods and statistics courses, but not for beginners, however earnest they may be. The book's ten chapters examine basic issues and research concepts, design and analysis, statistics, effect size, measurement issues, practical (i.e., appropriately straightforward) data analysis, writing, and styles of presentations. The last two are especially important, since writing and speaking can make (or break) many a would-be scholarly career. Mentors should recommend this book to advisees, and librarians should acquire it. Summing Up: Recommended. Graduate students, researchers, faculty. D. S. Dunn Moravian College

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