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T. 801 0$bNjHacI 801 1$bNjHacl 906 $aBOOK 912 $a9910137694503321 996 $aProgress in Peritoneal Dialysis$92022235 997 $aUNINA LEADER 02046nam 2200553I 450 001 9911004777303321 005 20170710094154.0 010 $a1-61344-935-6 010 $a0-585-47384-6 035 $a(CKB)111087026776544 035 $a(SSID)ssj0000122633 035 $a(PQKBManifestationID)12035227 035 $a(PQKBTitleCode)TC0000122633 035 $a(PQKBWorkID)10131710 035 $a(PQKB)11700358 035 $a(UtOrBLW)9780585473840 035 $a(EXLCZ)99111087026776544 100 $a20170712d2001 uy 101 0 $aeng 135 $aurun||||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aCity logistics $enetwork modelling and intelligent transport systems /$fEiichi Taniguchi, Russell G. Thompson, Tadashi Yamada, Ronvan Duin 210 31$a[Place of publication not identified]$cPergamon$d2001 215 $a1 online resource (252 pages) $cillustrations 300 $aIncludes index. 311 08$a0-08-043903-9 320 $aIncludes bibliographical references. 327 $aPrelims -- Introduction -- Modelling city logistics -- City logistics with ITS -- Demand and supply models -- Impact models -- Vehicle routing and scheduling -- Vehicle routing and scheduling with ITS -- Location of logistics terminals -- Future perspectives -- References -- Index. 606 $aIntelligent transportation systems 606 $aTransportation$xPlanning 606 $aTechnology & Engineering$xGeneral$2bisacsh 606 $aRoad transport industries$2bicssc 615 0$aIntelligent transportation systems. 615 0$aTransportation$xPlanning. 615 7$aTechnology & Engineering$xGeneral. 615 7$aRoad transport industries. 676 $a388.3/12 700 $aTaniguchi$b Eiichi$0146594 702 $aThompson$b Russell G.$f1962- 702 $aYamada$b Tadashi$factive 2001, 702 $aDuin$b Ronvan 801 0$bUtOrBLW 801 1$bUtOrBLW 906 $aBOOK 912 $a9911004777303321 996 $aCity logistics$94392868 997 $aUNINA LEADER 03948nam 22004815 450 001 9910369957903321 005 20251110135907.0 010 $a3-030-30199-0 024 7 $a10.1007/978-3-030-30199-6 035 $a(CKB)4100000009751221 035 $a(MiAaPQ)EBC5969468 035 $a(DE-He213)978-3-030-30199-6 035 $a(PPN)269146725 035 $a(EXLCZ)994100000009751221 100 $a20191031d2020 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 14$aThe Application of Content Analysis in Nursing Science Research /$fedited by Helvi Kyngäs, Kristina Mikkonen, Maria Kääriäinen 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (115 pages) $cillustrations 311 08$a3-030-30198-2 327 $aPART I. CONTENT ANALYSIS -- 1. Qualitative research and content analysis -- 2. Inductive content analysis -- 3. Deductive content analysis -- 4. Content analysis in mixed methods research -- 5. The trustworthiness of content analysis -- 6. Qualitative research ? ethical considerations -- PART II. INTEGRATING CONTENT ANALYSIS INTO THEORY DEVELOPMENT -- 7. Theory development from the results of content analysis -- 8. Instrument development based on content analysis -- 9. Statistical testing of a theory -- 10. Content analysis in systematic review. 330 $aThis book provides principles on content analysis and its application into development of nursing theory. It offers clear guidance to students, lecturers and researchers to gain a deeper understanding of the method of content analysis, its implementation into their own research and criteria of trustworthiness evaluation. The book is written in user-friendly language with provided research examples and cases, and the content is illustrated by figures and tables. The authors offer their expertise in providing a well thought through explanation of content analysis in didactical style, which will enhance university education. The book includes highly experienced researchers who have published articles on content analysis and the trustworthiness of the method with more than 10 000 citations. Divided into two parts, this book explores the application of content analysis into nursing science. The first part presents the philosophical position of content analysis, inductive and deductive methods of using content analysis, trustworthiness of the method, and ethical consideration of using content analysis. The second part informs on the theory development based on content analysis, conceptualization of the concepts of content analysis into generation of items and instrument development, and statistical testing of a hypothetical model. The last chapter shows a new approach to using content analysis in systematic reviews and quality evaluation of methodology within systematic review process. The book is an essential tool for nursing science, providing instruction on key methodological elements in order to provide rigorously conducted empirical research for clinical practice and nursing education. . 606 $aNursing?Research 606 $aNursing Research$3https://scigraph.springernature.com/ontologies/product-market-codes/H41030 615 0$aNursing?Research. 615 14$aNursing Research. 676 $a610.73072 676 $a610.73072 702 $aKynga?s$b Helvi$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aMikkonen$b Kristina$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aKa?a?ria?inen$b Maria$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910369957903321 996 $aThe Application of Content Analysis in Nursing Science Research$91990795 997 $aUNINA