{"product_id":"more-statistical-and-methodological-myths-and-urban-legends","title":"More Statistical and Methodological Myths and Urban Legends","description":"\u003cp\u003eIn this review of More Statistical and Methodological Myths and Urban Legends, the authors take a clear-eyed approach to persistent but shaky research practices. The book is best for applied researchers, graduate students, and instructors who need a pragmatic, evidence-oriented critique of common methodological claims. Its single biggest reason to buy is the focused explanation of why familiar critiques - from concerns about common method bias to debates over item-to-subject ratios - are often overstated and how to apply sound alternatives in real research.\u003c\/p\u003e\n\u003ch2\u003eKey Features\u003c\/h2\u003e\n\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003eTopic coverage:\u003c\/strong\u003e Surveys a range of methodological urban legends and explains their historical origins so readers can judge critiques with context.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003ePractical guidance:\u003c\/strong\u003e Outlines proper research techniques that help readers replace lore with defensible methods in study design and analysis.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eConcrete critiques:\u003c\/strong\u003e Uses manuscript-style critiques (for example on common method bias and item-to-subject ratios) to show how to evaluate empirical claims.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eFocus on applied statistics:\u003c\/strong\u003e Addresses sample size, missing data bias in correlation matrices, and effect size interpretation to aid everyday research decisions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eAccessible tone:\u003c\/strong\u003e Written for practitioners and students so complex methodological debates are presented without unnecessary jargon.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eWho It's For\u003c\/h2\u003e\n\u003cp\u003eThis book is ideal for applied statisticians, social science researchers, and graduate students who regularly design studies, analyze data, or review manuscripts and want a clear reference to challenge common but weak critiques. It helps those who need immediate, actionable explanations rather than purely theoretical arguments.\u003c\/p\u003e\n\u003cp\u003eResearchers seeking step-by-step software tutorials or introductory textbook coverage of basic statistics may want a different resource, because this work focuses on critiquing methodological myths and outlining appropriate techniques rather than teaching elementary statistics from scratch.\u003c\/p\u003e\n\u003ch2\u003ePros \u0026amp; Cons\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003ePros\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eProvides clear historical context for common methodological critiques, helping readers separate myth from evidence.\u003c\/li\u003e\n\u003cli\u003eOffers practical recommendations on sample size and handling missing data that readers can apply to real studies.\u003c\/li\u003e\n\u003cli\u003eUses manuscript-style examples to demonstrate how common criticisms are formed and how to respond.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003cp\u003e\u003cstrong\u003eCons\u003c\/strong\u003e\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eNot a stepwise tutorial for statistical software, so novices expecting hands-on code will need supplemental material.\u003c\/li\u003e\n\u003c\/ul\u003e\n\u003ch2\u003eSpecifications\u003c\/h2\u003e\n\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003eTitle\u003c\/td\u003e\n\u003ctd\u003eMore Statistical and Methodological Myths and Urban Legends\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eAuthors\u003c\/td\u003e\n\u003ctd\u003eRobert J. Vandenberg, Charles E. Lance\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eSubject\u003c\/td\u003e\n\u003ctd\u003eStatistical and methodological practices in applied research\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eTopics covered\u003c\/td\u003e\n\u003ctd\u003eSample size, missing data bias in correlation matrices, effect sizes, common method bias\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eIntended audience\u003c\/td\u003e\n\u003ctd\u003eApplied researchers, graduate students, instructors\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e\n\u003ch2\u003eOur Verdict\u003c\/h2\u003e\n\u003cp\u003eMore Statistical and Methodological Myths and Urban Legends is a useful, evidence-focused critique for researchers and instructors who want to interrogate common methodological claims and adopt defensible alternatives. Its practical focus and historical perspective make it good value for anyone who reviews manuscripts or designs studies and needs to replace lore with clearer reasoning.\u003c\/p\u003e\n\u003ch2\u003eFrequently Asked Questions\u003c\/h2\u003e\n\u003cp\u003e\u003cstrong\u003eDoes the book explain how to handle missing data?\u003c\/strong\u003e\u003cbr\u003eYes, it discusses missing data bias in correlation matrices and provides guidance on how to assess and mitigate related problems.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eWill it teach basic statistics or software commands?\u003c\/strong\u003e\u003cbr\u003eNo, the book focuses on methodological critique and best practices rather than step-by-step software tutorials or introductory statistical instruction.\u003c\/p\u003e\n\u003cp\u003e\u003cstrong\u003eIs it suitable for graduate coursework?\u003c\/strong\u003e\u003cbr\u003eYes, it is well suited as a supplemental text for graduate courses in research methods or applied statistics that examine common methodological claims.\u003c\/p\u003e","brand":"Robert J. Vandenberg, Charles E. Lance","offers":[{"title":"Default Title","offer_id":48182935748827,"sku":"0415838983","price":168.0,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0724\/1043\/1707\/files\/51B2VJ3uXhL._SL1360.jpg?v=1769171947","url":"https:\/\/gearmusthave.com\/products\/more-statistical-and-methodological-myths-and-urban-legends","provider":"GearMustHave","version":"1.0","type":"link"}