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Becoming a behavioral science researcher[electronic resource] :a guide to producing research that matters /

Record Type:	Language materials, printed : Monograph/item
[NT 15000414]:	150.72
Title/Author:	Becoming a behavioral science researcher : a guide to producing research that matters // Rex B. Kline.
Author:	Kline, Rex B.
Published:	New York : : Guilford Press,, c2009.
Description:	xii, 367 p. : : ill. (some col.) ;; 24 cm.
Subject:	Psychology - Research.
ISBN:	9781593858384 (hbk. : alk. paper)
ISBN:	9781593858377 (pbk. : alk. paper)
ISBN:	9781606230824 (ebook)
[NT 15000227]:	Includes bibliographical references (p. 333-346) and indexes.
[NT 15000228]:	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.
Online resource:	An electronic book accessible through the World Wide Web; click to view

Becoming a behavioral science researcher[electronic resource] :a guide to producing research that matters /
Kline, Rex B.

Becoming a behavioral science researchera guide to producing research that matters /[electronic resource] :Rex B. Kline. - New York :Guilford Press,c2009. - xii, 367 p. :ill. (some col.) ;24 cm.

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.

Electronic reproduction.
Palo Alto, Calif. :
ebrary,
2010.

Available via World Wide Web.

ISBN: 9781593858384 (hbk. : alk. paper)Subjects--Topical Terms:

389852
Psychology
--Research.Index Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: BF76.5 / .K54 2009eb

Dewey Class. No.: 150.72

Becoming a behavioral science researcher[electronic resource] :a guide to producing research that matters /
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300 $a xii, 367 p. : $b ill. (some col.) ; $c 24 cm.
504 $a Includes bibliographical references (p. 333-346) and indexes.
505 0 $a 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.
533 $a Electronic reproduction. $b Palo Alto, Calif. : $c ebrary, $d 2010. $n Available via World Wide Web. $n Access may be limited to ebrary affiliated libraries.
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