2015 LWW Nursing Education Catalogue

136

Munro’sStatisticalMethods forHealthCareResearch, SixthEdition, RevisedReprint StaceyB. Plichta, ScD, CPH 978-1-4511-8794-6 •October2012 • Softbound • 7” x9” •576pp.

This text provides students with a solid foundation for understanding data analysis and specific statistical techniques. Focusing on themost current and frequently used statistical methods in today’s health care literature, the book covers essential material for a variety of program levels including in-depth courses beyond the basic statistics course.Well-organized, clear text discussions and great learning tools help students overcome the complexities and fully comprehend the conceptsof thisoften intimidatingareaof study. Features • NEW! Author teambased thebookon theorganizational framework that BarbaraHazardMunrodeveloped,whicha generationof students andhealth careproviders haveused. • Includedare chapter-by-chapter sectionson the researchquestion, examples from the literature, typesof data required, assumptions, detailsof the specific techniqueunderdiscussion, anda fullyworked out exampleof how to compute the statisticbothbyhandandwith IBMSPSS. • The software that is referencedhas beenupdated toSPSS 18. • Expandeddiscussionsof nonparametric (distribution free) statistics and the chi-square statistic are included. • OnlineResources Include: – TestGenerator. – Power Points. – JournalArticles. – ImageBank. – FullTextOnline.

Table of Contents Section1: Obtainingand UnderstandingData Ch.1: UsingResearch and Statistics in HealthCare Ch. 2:Descriptive Statistics: Getting to Know theData Ch. 3: Key Principles of Statistical Inference Ch.4:HypothesisTestingwith Inferential Statistics Section2: Analyzing theData Ch. 5:Measuring theDifferences Between theMeansTwoUnrelatedGroupMeans: Independent t-tests andMann-Whitney U-tests Ch. 6:Measuring theDifferences Between theMeans ofTwoRelatedGroups: Paired t-tests andWilcoxonMatchedPairs tests Ch. 7:Measuring theDifferences Between theMeans ofThree orMoreUnrelated Groups:One -WayANOVAs and the Kruskal-WallisH-tests Ch. 8:Differences Among theMeans of Three orMoreUnrelatedGroupsDefined by Two orMore IndependentVariables:N-Way ANOVA Ch. 9: Comparing theMeans ofThree or MoreRelatedGroups: RepeatedMeasures ANOVA andFriedman’s ANOVA byRank Ch. 10: Analysis of Covariance (ANCOVA) Ch. 11:Measuring theAssociation of two Variables: Pearson and SpearmanCorrelation Ch. 12: ExaminingCross tabulations:The Chi-square Statistic andTheMcNemarTest Section3: Model Buildingand Presentation Ch. 13: LogisticRegression Ch. 14: Linear Regression andRegression Diagnostic

Research • Statistic & Theory

Ch. 15: Factor Analysis Ch. 16: PathAnalysis

Ch. 17: Structural EquationModeling Ch. 18:Writing for Presentation and Publication