03577cam 22003494a 450000100090000000300080000900500170001700800410003401000170007502000380009204000270013004200080015705000200016508200200018510000230020524500870022826000330031530000350034836500150038350400530039850504520045152018300090363000220273365000350275565000610279070000240285190600450287594200120292095501350293299900150306795201450308216698238BD-DhUL20140807123925.0110318s2012 caua b 001 0 eng a 2011009895 a9781412974066 (pbk. : alk. paper) aDLCcDLCdDLCdBD-DhUL apcc00aHA32b.B47 201200a005.55222bBEC1 aBerkman, Elliot T.12aA conceptual guide to statistics using SPSS /cElliot T. Berkman, Steven P. Reise. aLos Angeles :bSage,cc2012. axiii, 296 p. :bill. ;c24 cm. aUSDb37.13 aIncludes bibliographical references and indexes.8 aMachine generated contents note: 1. Introduction 2. Descriptive Statistics 3. Chi-Squared Test 4. Linear Correlation 5. One- and Two Sample T-Tests 6. One-way ANOVA 7. Two- and Higher-way ANOVA 8. Within-subject ANOVA 9. Mixed-model ANOVA 10. MANOVA 11. Regression 12. ANCOVA 13. Factor and Components Analysis 14. Psychometrics 15. Non-parametric Tests 16. Matrix Algebra 17. Appendix on the General Formulation of Custom Contrasts using Syntax . a"This book helps students develop a conceptual understanding of a variety of statistical tests by linking the statistics with the computational steps and output from SPSS. Learning how statistical ideas map onto computation in SPSS will help students build a better understanding of both. For example, seeing exactly how the concept of variance is used in SPSS-how it is converted into a number based on real data, which other concepts it is associated with, and where it appears in various statistical tests-will not only help students understand how to use statistical tests in SPSS and how to interpret their output, but will also teach them about the concept of variance itself. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, pointing out wherever possible how the SPSS procedure and output connects back to the conceptual underpinnings of the test. Each of the steps is accompanied by annotated screen shots from SPSS, and relevant components of output are highlighted in both the text and in the figures. Sections explain the conceptual machinery underlying the statistical tests. In contrast to merely presenting the equations for computing the statistic, these sections describe the idea behind each test in plain language and help students make the connection between the ideas and SPSS procedures. These include extensive treatment of custom hypothesis testing in ANOVA, MANOVA, ANCOVA, and regression, and an entire chapter on the advanced matrix algebra functions available only through syntax in SPSS. The book will be appropriate for both advanced undergraduate and graduate level courses in statistics"--cProvided by publisher.00aSPSS for Windows. 0aStatisticsxComputer programs. 0aSocial sciencesxStatistical methodsxComputer programs.1 aReise, Steven Paul. a7bcbccorignewd1eecipf20gy-gencatlg 2ddccBK bxj07 2011-03-18cxj07 2011-03-18 ONIXaxd13 2011-03-22 changed copyright per publisheraxe06 2011-07-20 1 copy rec'd., to CIP ver. c1128d1128 00102ddc406005_550000000000000_BEC708NFIC91897aDUSLbDUSLcGENd2012-09-18ePurchasedo005.55 BECp475019r2014-08-07w2014-08-07yBK