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Research • Statistic & Theory
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
Ch. 15: Factor Analysis
Ch. 16: PathAnalysis
Ch. 17: Structural EquationModeling
Ch. 18:Writing for Presentation and
Publication