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|---|---|---|---|
| 001 | vtls000039523 | ||
| 003 | KUKTEM | ||
| 005 | 20251117145440.0 | ||
| 008 | 090706t2009 nyua f b 001 0 eng d | ||
| 020 | _a9781593858384 (hbk. : alk. paper) | ||
| 020 | _a9781593858377 (pbk. : alk. paper) | ||
| 039 | 9 |
_a201107132147 _bVLOAD _c201006161152 _dfauzi _c200908141643 _dVLOAD _c200908141619 _dVLOAD _y200907061515 _zshah |
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| 040 | _aUMP | ||
| 090 | _aBF76.5 .K54 2009 | ||
| 100 | 1 | _aKline, Rex B. | |
| 245 | 1 | 0 |
_aBecoming a behavioral science researcher : _ba guide to producing research that matters / _cRex B. Kline |
| 260 |
_aNew York : _bGuilford Press, _cc2009 |
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| 300 |
_axii, 367 p. : _bill. (some col.) ; _c24 cm. |
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| 504 | _aIncludes bibliographical references (p. 333-346) and indexes | ||
| 505 | 0 | _aPromise 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 | |
| 650 | 0 |
_aPsychology _xResearch |
|
| 856 | 4 | 1 |
_3Table of contents only _uhttp://www.loc.gov/catdir/toc/ecip0818/2008019946.html |
| 999 |
_aVIRTUA40 _c46451 _d46457 |
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| 999 | _aVTLSSORT0080*0200*0201*0400*0900*1000*2450*2600*3000*5040*5050*6500*8560*9991 | ||