LEADER 05405nam 22006495 450 001 9910300147703321 005 20250411111018.0 010 $a1-4614-9041-3 024 7 $a10.1007/978-1-4614-9041-8 035 $a(CKB)3710000000078556 035 $a(Springer)9781461490418 035 $a(MH)013879505-3 035 $a(SSID)ssj0001067745 035 $a(PQKBManifestationID)11538470 035 $a(PQKBTitleCode)TC0001067745 035 $a(PQKBWorkID)11092891 035 $a(PQKB)10296668 035 $a(DE-He213)978-1-4614-9041-8 035 $a(MiAaPQ)EBC3095782 035 $a(PPN)176100377 035 $a(EXLCZ)993710000000078556 100 $a20131115d2014 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aNonparametric Statistics for Applied Research /$fby Jared A. Linebach, Brian P. Tesch, Lea M. Kovacsiss 205 $a1st ed. 2014. 210 1$aNew York, NY :$cSpringer New York :$cImprint: Springer,$d2014. 215 $a1 online resource (XII, 408 p. 23 illus., 17 illus. in color.)$conline resource 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a1-4614-9040-5 320 $aIncludes bibliographical references (pages 403-404) and index. 327 $aIntroduction -- Meeting the Team -- Questions, Assumptions, and Decisions.- Understanding Similarity -- The Bourgeoisie, the Proletariat, and an Unwelcomed Press Conference -- Agreeing to Disagree -- Guesstimating the Fluffy-Maker -- X Marks the Spot Revisited -- Let My People Go! -- Here's Your Sign and the Neighborhood Bowling League -- Geometry on Steroids -- Crunch Time.- Presentation. . 330 $aNon-parametric methods are widely used for studying populations that take on a ranked order (such as movie reviews receiving one to four stars). The use of non-parametric methods may be necessary when data have a ranking but no clear numerical interpretation, such as when assessing preferences. In terms of levels of measurement, non-parametric methods result in "ordinal" data. As non-parametric methods make fewer assumptions, their applicability is much wider than the corresponding parametric methods. In particular, they may be applied in situations where less is known about the application in question. Also, due to the reliance on fewer assumptions, non-parametric methods are more robust. Non-parametric methods have many popular applications, and are widely used in research in the fields of the  behavioral sciences and biomedicine. This is a textbook  on non-parametric statistics for applied research. The authors propose to use a realistic yet mostly fictional situation and series of dialogues to illustrate in detail the statistical processes required to complete data analysis.  This book draws on a readers existing elementary knowledge of statistical analyses to broaden his/her research capabilities.  The material within the book is covered in such a way that someone with a very limited knowledge of statistics would be able to read and understand the concepts detailed in the text. The ?real world? scenario to be presented involves a multidisciplinary team of behavioral, medical, crime analysis, and policy analysis professionals work together to answer specific empirical questions regarding real-world applied problems.  The reader is introduced to the team and the data set, and through the course of the text follows the team as they progress through the decision making process of narrowing the data and the research questions to answer the applied problem.  In this way, abstract statistical concepts are translated intoconcrete and specific language. This text uses one data set from which all examples are taken.  This is radically different from other statistics books which provide a varied array of examples and data sets.  Using only one data set facilitates reader-directed teaching and learning by providing multiple research questions which are integrated rather than using disparate examples and completely unrelated research questions and data. 606 $aStatistics 606 $aSocial sciences$xStatistical methods 606 $aBiometry 606 $aStatistical Theory and Methods 606 $aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy 606 $aBiostatistics 615 0$aStatistics. 615 0$aSocial sciences$xStatistical methods. 615 0$aBiometry. 615 14$aStatistical Theory and Methods. 615 24$aStatistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy. 615 24$aBiostatistics. 676 $a519.5 700 $aLinebach$b Jared A$4aut$4http://id.loc.gov/vocabulary/relators/aut$0721726 702 $aTesch$b Brian P$4aut$4http://id.loc.gov/vocabulary/relators/aut 702 $aKovacsiss$b Lea M$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910300147703321 996 $aNonparametric Statistics for Applied Research$92536501 997 $aUNINA 999 $aThis Record contains information from the Harvard Library Bibliographic Dataset, which is provided by the Harvard Library under its Bibliographic Dataset Use Terms and includes data made available by, among others the Library of Congress