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Tittel SPSS survival manual :: a step by step guide to data analysis using IBM SPSS
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Noter "The SPSS Survival Manual throws a lifeline to students and researchers grappling with this powerful data analysis software.In her bestselling guide, Julie Pallant takes you through the entire research process, helping you choose the right data analysis technique for your project. This edition has been updated to include up to SPSS version 26. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting data output and an example of how to present the results in a report.For both beginners and experienced users in Psychology, Sociology, Health Sciences, Medicine, Education, Business and related disciplines, the SPSS Survival Manual is an essential text. It is illustrated throughout with screen grabs, examples of output and tips, and is also further supported by a website with sample data and guidelines on report writing.This seventh edition is fully revised and updated to accommodate changes to IBM SPSS procedures." -- Forleggeromtale
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*24510$aSPSS survival manual :$ba step by step guide to data analysis using IBM SPSS$cJulie Pallant
*250 $a7th edition 2017
*260 $bMcGraw-Hill$c2020
*264 1$aLondon$bOpen University Press$c2020
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*300 $aXVI, 361 sider$billustrasjoner
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*500 $a1st edition 2001
*500 $aForrige utgave: 2016, 5th edition 2013, 4th ed 2010, 3rd edition 2007, 2nd edition 2005
*50500$aPreface,-$gData files and website$gIntroduction and overview,-$gPart One$tGetting started:$g1$tDesigning a studia$g2$tPreparing a codebook.$g3$tGetting to know IBM SPSS Statistics$gPart Two$tPreparing the data file$g4$tCreating a data file and entering data$g5$tScreening and cleaning the data$gPart.Threee$tPreliminary analyses$g6$tDescriptive statistics$g7$tUsing graphs to describe and explore the data$g8$tManipulating the data$g9$tChecking the reliability of a scale$g10$tChoosing the right statistic$gPart Four$tStatistical techniques to explore relationships among variables$g11$tCorrelation$g12$tPartial correlation$g13$tMultiple regression$g14$tLogistic regression$g15$tFactor analysis$gPart Five$tStatistical techniques to compare Groups$g16$tNon-parametric statistics$g17$tT-tests$g18$tOne-way analysis of variance$g19$tTwo-way between-groups ANOVA.-$g20$tMixed between-within subjects analysis of variance$g21$tMultivariate analysis of variance$g22$tAnalysis of covariance$gAppendix:$tDetails of data files$gRecommended reading$gReferences Index
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