LEADER 04297nam 2200637Ia 450 001 9910462610303321 005 20211028020651.0 010 $a3-11-087780-5 024 7 $a10.1515/9783110877809 035 $a(CKB)2670000000356439 035 $a(EBL)938522 035 $a(OCoLC)815506992 035 $a(SSID)ssj0000560235 035 $a(PQKBManifestationID)11357308 035 $a(PQKBTitleCode)TC0000560235 035 $a(PQKBWorkID)10571859 035 $a(PQKB)10632293 035 $a(MiAaPQ)EBC938522 035 $a(WaSeSS)Ind00014385 035 $a(DE-B1597)56777 035 $a(OCoLC)979764207 035 $a(DE-B1597)9783110877809 035 $a(Au-PeEL)EBL938522 035 $a(CaPaEBR)ebr10598226 035 $a(EXLCZ)992670000000356439 100 $a20050705d2005 uy 0 101 0 $aeng 135 $aurnn#---|u||u 181 $ctxt 182 $cc 183 $acr 200 10$aStatistics in language research$b[electronic resource] $eanalysis of variance /$fby Toni Rietveld and Roeland van Hout 205 $aReprint 2010 210 $aBerlin ;$aNew York $cMouton de Gruyter$dc2005 215 $a1 online resource (276 p.) 300 $aDescription based upon print version of record. 311 0 $a3-11-018580-6 311 0 $a3-11-018581-4 320 $aIncludes bibliographical references (p. [233]-236) and index. 327 $tFront matter --$t1. Language research and statistics --$t2. Basic statistical procedures: one sample --$t3. Basic statistical procedures: two samples --$t4. Principles of analysis of variance --$t5. Multifactorial designs --$t6. Additional tests and indices in analysis of variance --$t7. Violations of assumptions in factorial designs and unbalanced designs --$t8. Repeated measures designs --$t9. Alternative estimation procedures and missing data --$t10. Alternatives to analysis of variance --$tReferences --$tAppendices --$tIndex 330 $aStatistics in Language Research gives a non-technical but more or less complete treatment of Analysis of Variance (ANOVA) for language researchers. ANOVA is the most frequently used technique when handling the outcomes of research designs with more than two treatments or groups. This technique is used in all parts of linguistics which deal with observations obtained in survey studies and in (quasi-)experimental research, like applied linguistics, psycholinguistics, sociolinguistics, language and speech pathology and phonetics. Most statistical textbooks in the social sciences take examples typical of their own field and, in addition, omit subjects which are particularly relevant for language researchers, like power analysis, quasi F, F1, F2 and minF'. This book offers a thorough introduction to the basic principles of analysis of variance, based on examples taken from language research, and goes beyond the conventional topics treated in introductory textbooks, as it covers topics like 'violations of assumptions', 'missing data', 'problems in repeated measures designs', 'alternatives to analysis of variance' (such as randomization tests and multilevel analysis). Each chapter consists of four sections: treatment of the subject under discussion, a summary of relevant terms and concepts, a section devoted to reporting statistics, and finally an exercise section. After the first introductory chapter, in which fundamental concepts like 'variables', 'cases' and SPSS data formats are presented, the book continues with two 'refreshment' chapters, in which the principles of statistical testing are revised, focusing on the well-known t test. These chapters also deal with the essential, but often neglected concepts of 'statistical power' and 'sample size'. In every chapter examples of SPSS input and output are given. 606 $aLinguistics$xStatistical methods 606 $aAnalysis of variance 608 $aElectronic books. 615 0$aLinguistics$xStatistical methods. 615 0$aAnalysis of variance. 676 $a410/.2/1 700 $aRietveld$b Toni$f1949-$0221472 701 $aHout$b Roeland van$0292067 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910462610303321 996 $aStatistics in language research$91112473 997 $aUNINA