x

Our Privacy Policy has changed. By using this site, you agree to the Privacy Policy.

Statistics for the Health Sciences A Non-Mathematical Introduction

ISBN-10: 1849203369
ISBN-13: 9781849203364
Edition: 2012
Buy it from $60.47
eBook available
This item qualifies for FREE shipping

*A minimum purchase of $35 is required. Shipping is provided via FedEx SmartPost® and FedEx Express Saver®. Average delivery time is 1 – 5 business days, but is not guaranteed in that timeframe. Also allow 1 - 2 days for processing. Free shipping is eligible only in the continental United States and excludes Hawaii, Alaska and Puerto Rico. FedEx service marks used by permission."Marketplace" orders are not eligible for free or discounted shipping.

30 day, 100% satisfaction guarantee

If an item you ordered from TextbookRush does not meet your expectations due to an error on our part, simply fill out a return request and then return it by mail within 30 days of ordering it for a full refund of item cost.

Learn more about our returns policy

Description: Statistics for the Health Sciences is a highly readable and accessible textbook on understanding statistics for the health sciences, both conceptually and via the SPSS programme. The authors give clear explanations of the concepts underlying  More...

New Starting from $74.71
eBooks Starting from $27.00
Rent
Buy
what's this?
Rush Rewards U
Members Receive:
coins
coins
You have reached 400 XP and carrot coins. That is the daily max!

Study Briefs

Limited time offer: Get the first one free! (?)

All the information you need in one place! Each Study Brief is a summary of one specific subject; facts, figures, and explanations to help you learn faster.

Add to cart
Study Briefs
History of Western Art Online content $4.95 $1.99
Add to cart
Study Briefs
Italian Grammar Online content $4.95 $1.99
Add to cart
Study Briefs
Portuguese Grammar Online content $4.95 $1.99
Add to cart
Study Briefs
History of World Philosophies Online content $4.95 $1.99

Customers also bought

Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading
Loading

Book details

Copyright year: 2012
Publisher: SAGE Publications, Limited
Publication date: 3/19/2012
Binding: Paperback
Pages: 584
Size: 7.25" wide x 8.75" long x 1.00" tall
Weight: 2.662
Language: English

Statistics for the Health Sciences is a highly readable and accessible textbook on understanding statistics for the health sciences, both conceptually and via the SPSS programme. The authors give clear explanations of the concepts underlying statistical analyses and descriptions of how these analyses are applied in health science research without complex maths formulae. The textbook takes students from the basics of research design, hypothesis testing and descriptive statistical techniques through to more advanced inferential statistical tests that health science students are likely to encounter. The strengths and weaknesses of different techniques are critically appraised throughout, and the authors emphasise how they may be used both in research and to inform best practice care in health settings. Exercises and tips throughout the book allow students to practice using SPSS. The companion website provides further practical experience of conducting statistical analyses. Features include: ⬢ multiple choice questions for both student and lecturer use ⬢ full Powerpoint slides for lecturers ⬢ practical exercises using SPSS ⬢ additional practical exercises using SAS and R

About the Authors
Preface
Acknowledgements
Companion Website
An Introduction to the Research Process
Overview
The Research Process
Concepts and Variables
Levels of Measurement
Hypothesis Testing
Evidence-Based Practice
Research Designs
Summary
Multiple Choice Questions
Computer-Assisted Analysis
Overview
Overview of the Three Statistical Packages
Introduction to SPSS
Setting out Your Variables for Within- and Between-Group Designs
Introduction to R
Introduction to SAS
Summary
Exercises
Descriptive Statistics
Overview
Analysing Data
Descriptive Statistics
Numerical Descriptive Statistics
Choosing a Measure of Central Tendency
Measures of Variation or Dispersion
Deviations from the Mean
Numerical Descriptives in SPSS
Graphical Statistics
Bar Charts
Line Graphs
Incorporating Variability into Graphs
Generating Graphs with Standard Deviations in SPSS
Graphs Showing Dispersion - Frequency Histogram
Box-Plots
Summary
SPSS Exercise
Multiple Choice Questions
The Basis of Statistical Testing
Overview
Introduction
Samples and Populations
Distributions
Statistical Significance
Criticisms of NHST
Generating Confidence Intervals in SPSS
Summary
SPSS Exercise
Multiple Choice Questions
Epidemiology
Overview
Introduction
Estimating the Prevalence of Disease
Difficulties in Estimating Prevalence
Beyond Prevalence: Identifying Risk Factors for Disease
Risk Ratios
The Odds-Ratio
Establishing Causality
Case-Control Studies
Cohort Studies
Experimental Designs
Summary
Multiple Choice Questions
Introduction to Data Screening and Cleaning
Overview
Introduction
Minimising Problems at the Design Stage
Entering Data into Databases/Statistical Packages
The Dirty Dataset
Accuracy
Using Descriptive Statistics to Help Identify Errors
Missing Data
Spotting Missing Data
Normality
Screening Groups Separately
Reporting Data Screening and Cleaning Procedures
Summary
Multiple Choice Questions
Differences Between Two Groups
Overview
Introduction
Conceptual Description of the t-Tests
Generalising to the Population
Independent Groups t-Test in SPSS
Cohen's d
Paired t-Test in SPSS
Two-Sample z-Test
Non-Parametric Tests
Mann-Whitney: for Independent Groups
Mann-Whitney Test in SPSS
Wilcoxon Signed Rank Test: for Repeated Measures
Wilcoxon Signed Rank Test in SPSS
Adjusting for Multiple Tests
Summary
Multiple Choice Questions
Differences Between Three or More Conditions
Overview
Introduction
Conceptual Description of the (Parametric) ANOVA
One-Way ANOVA
One-way ANOVA in SPSS
ANOVA Models for Repeated-Measures Designs
Repeated-Measures ANOVA in SPSS
Non-Parametric Equivalents
The Kruskal-Wallis Test
Kruskal-Wallis and the Median Test in SPSS
The Median Test
Friedman's ANOVA for Repeated Measures
Friedman's ANOVA in SPSS
Summary
Multiple Choice Questions
Testing Associations Between Categorical Variables
Overview
Introduction
Rationale of Contingency Table Analysis
Running the Analysis in SPSS
Measuring Effect Size in Contingency Table Analysis
Larger Contingency Tables
Contingency Table Analysis Assumptions
The �<sup>2</sup> Goodness-of-Fit Test
Running the �<sup>2</sup> Goodness-of-Fit Test Using SPSS
Summary
Multiple Choice Questions
Measuring Agreement: Correlational Techniques
Overview
Introduction
Bivariate Relationships
Perfect Correlations
Calculating the Correlation Pearson's r Using SPSS
How to Obtain Scatterplots
Variance Explanation of r
Obtaining Correlational Analysis in SPSS: Exercise
Partial Correlations
Shared and Unique Variance: Conceptual Understanding Relating to Partial Correlations
Spearman's rho
Other Uses for Correlational Techniques
Reliability of Measures
Internal Consistency
Inter-Rater Reliability
Validity
Percentage Agreement
Cohen's Kappa
Summary
Multiple Choice Questions
Linear Regression
Overview
Introduction
Linear Regression in SPSS
Obtaining the Scatterplot with Regression Line and Confidence Intervals in SPSS
Assumptions Underlying Linear Regression
Dealing with Outliers
What Happens if the Correlation between X and Y is Near Zero?
Using Regression to Predict Missing Data in SPSS
Prediction of Missing Scores on Cognitive Failures in SPSS
Summary
Multiple Choice Questions
Standard Multiple Regression
Overview
Introduction
Multiple Regression in SPSS
Variables in the Equation
The Regression Equation
Predicting an Individual's Score
Hypothesis Testing
Other Types of Multiple Regression
Hierarchical Multiple Regression
Summary
Multiple Choice Questions
Logistic Regression
Overview
Introduction
The Conceptual Basis of Logistic Regression
Writing up the Result
Logistic Regression with Multiple Predictor Variables
Logistic Regression with Categorical Predictors
Categorical Predictors with Three or More Levels
Summary
Multiple Choice Questions
Interventions and Analysis of Change
Overview
Interventions
How Do We Know Whether Interventions Are Effective?
Randomised Control Trials (RCTs)
Designing an RCT: CONSORT
The CONSORT Flow Chart
Important Features of an RCT
Blinding
Analysis of RCTs
Running an ANCOVA in SPSS
McNemar's Test of Change
Running McNemar's Test in SPSS
The Sign Test
Running the Sign Test Using SPSS
Intention to Treat Analysis
Crossover Designs
Single-Case Designs (N = 1)
Generating Single-Case Design Graphs Using SPSS
Summary
SPSS Exercise
Multiple Choice Questions
Survival Analysis: An Introduction
Overview
Introduction
Survival Curves
The Kaplan-Meier Survival Function
Kaplan-Meier Survival Analyses in SPSS
Comparing Two Survival Curves - the Mantel-Cox Test
Mantel-Cox Using SPSS
Hazard
Hazard Curves
Hazard Functions in SPSS
Writing Up a Survival Analysis
Summary
SPSS Exercise
Multiple Choice Questions
Answers to Activities and Exercises
Glossary
References
Index

×
Free shipping on orders over $35*

*A minimum purchase of $35 is required. Shipping is provided via FedEx SmartPost® and FedEx Express Saver®. Average delivery time is 1 – 5 business days, but is not guaranteed in that timeframe. Also allow 1 - 2 days for processing. Free shipping is eligible only in the continental United States and excludes Hawaii, Alaska and Puerto Rico. FedEx service marks used by permission."Marketplace" orders are not eligible for free or discounted shipping.

Learn more about the TextbookRush Marketplace.

×