LEADER 03049oam 2200589 450 001 9910153070403321 005 20230803194637.0 010 $a1-292-05492-1 035 $a(CKB)2560000000327491 035 $a(SSID)ssj0001257236 035 $a(PQKBManifestationID)12500205 035 $a(PQKBTitleCode)TC0001257236 035 $a(PQKBWorkID)11275480 035 $a(PQKB)10511636 035 $a(MiAaPQ)EBC5174442 035 $a(MiAaPQ)EBC5187171 035 $a(MiAaPQ)EBC5833016 035 $a(MiAaPQ)EBC5138602 035 $a(MiAaPQ)EBC6399236 035 $a(Au-PeEL)EBL5138602 035 $a(CaONFJC)MIL845471 035 $a(OCoLC)1017000625 035 $a(EXLCZ)992560000000327491 100 $a20210427d2014 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt 182 $cc 183 $acr 200 10$aStatistics and data analysis for nursing research /$fDenise F. Polit 205 $aSecond edition, Pearson New International edition. 210 1$aHarlow, England :$cPearson,$d[2014] 210 4$d©2014 215 $a1 online resource (445 pages) $cillustrations, tables, graphs 225 1 $aAlways learning 300 $aRevised edition of: Data analysis & statistics for nursing research / Denise F. Polit. c1996. 311 $a1-292-02781-9 320 $aIncludes bibliographical references and index. 327 $aCover -- Table of Contents -- 1. Frequency Distributions: Tabulating and Displaying Data -- 2. Central Tendency, Variability, and Relative Standing -- 3. Bivariate Description: Crosstabulation, Risk Indexes, and Correlation -- 4. Statistical Inference -- 5. t Tests: Testing Two Mean Differences -- 6. Analysis of Variance -- 7. Chi-Square and Nonparametric Tests -- 8. Correlation and Simple Regression -- 9. Multiple Regression -- 10. Analysis of Covariance, Multivariate ANOVA, and Related Multivariate Analyses -- 11. Logistic Regression -- 12. Factor Analysis and Internal Consistency Reliability Analysis -- 13. Missing Values -- Appendix: Theoretical Sampling Distribution Tables -- Appendix: Tables for Power Analyses -- Index. 330 $aThe second edition of Statistics and Data Analysis for Nursing, uses a conversational style to teach students how to use statistical methods and procedures to analyze research findings. Students are guided through the complete analysis process from performing a statistical analysis to the rationale behind doing so. In addition, management of data, including how and why to recode variables for analysis, how to "clean" data, and how to work around missing data, is discussed. 410 0$aAlways learning. 606 $aNursing$xResearch$xStatistical methods 615 0$aNursing$xResearch$xStatistical methods. 676 $a610.727 700 $aPolit$b Denise F.$01260085 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bUtOrBLW 906 $aBOOK 912 $a9910153070403321 996 $aStatistics and data analysis for nursing research$93408757 997 $aUNINA