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Statistical Analysis Quick Reference Guidebook : With SPSS Exampl

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Item specifics

Condition
Very Good
A book that does not look new and has been read but is in excellent condition. No obvious damage to the cover, with the dust jacket (if applicable) included for hard covers. No missing or damaged pages, no creases or tears, and no underlining/highlighting of text or writing in the margins. May be very minimal identifying marks on the inside cover. Very minimal wear and tear. See the seller’s listing for full details and description of any imperfections. See all condition definitionsopens in a new window or tab
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“Used book that is in excellent condition. May show signs of wear or have minor defects. 100% ...
Book Title
Statistical Analysis Quick Reference Guidebook : With SPSS Exampl
ISBN
9781412925600
Subject Area
Mathematics, Computers, Social Science
Publication Name
Statistical Analysis Quick Reference Guidebook : with SPSS Examples
Publisher
SAGE Publications, Incorporated
Item Length
9 in
Subject
Mathematical & Statistical Software, Probability & Statistics / General, Research, Statistics
Publication Year
2006
Type
Textbook
Format
Perfect
Language
English
Item Height
0.6 in
Author
Alan C. Elliott, Wayne A. Woodward
Item Weight
13.1 Oz
Item Width
6 in
Number of Pages
280 Pages
Category

About this product

Product Identifiers

Publisher
SAGE Publications, Incorporated
ISBN-10
1412925606
ISBN-13
9781412925600
eBay Product ID (ePID)
52327747

Product Key Features

Number of Pages
280 Pages
Language
English
Publication Name
Statistical Analysis Quick Reference Guidebook : with SPSS Examples
Subject
Mathematical & Statistical Software, Probability & Statistics / General, Research, Statistics
Publication Year
2006
Type
Textbook
Author
Alan C. Elliott, Wayne A. Woodward
Subject Area
Mathematics, Computers, Social Science
Format
Perfect

Dimensions

Item Height
0.6 in
Item Weight
13.1 Oz
Item Length
9 in
Item Width
6 in

Additional Product Features

Intended Audience
College Audience
LCCN
2006-005411
Illustrated
Yes
Table Of Content
List of Tables and FiguresAcknowledgments1. Introduction Getting the Most Out of This Quick Reference Guidebook A Brief Review of the Statistical Process Understanding Hypothesis Testing, Power, and Sample Size Understanding the p-Value Planning a Successful Analysis Guidelines for Creating Data Sets Preparing Excel Data for Import Guidelines for Reporting Results Guidelines for Creating and Using Graphs Downloading Sample SPSS Data Files Opening Data Files for Examples Summary References2. Describing and Examining Data Example Data Files Describing Quantitative Data Describing Categorical Data Summary References3. Comparing One or Two Means Using the t-Test One-Sample t-Test Two-Sample t-Test Paired t-Test Summary References4. Correlation and Regression Correlation Analysis Simple Linear Regression Multiple Linear Regression Bland-Altman Analysis Summary References5. Analysis of Categorical Data Contingency Table Analysis (r x c) Analyzing Risk Ratios in a 2 x 2 Table McNemar's Test Mantel-Haenszel Comparison Tests of Interrater Reliability Goodness-of-Fit Test Other Measures of Association for Categorical Data Summary References6. Analysis of Variance and Covariance One-Way ANOVA Two-Way Analysis of Variance Repeated-Measures Analysis of Variance Analysis of Covariance Summary References7. Nonparametric Analysis Procedures Spearman's Rho Mann-Whitney (Two Independent Groups Test) Kruskal-Wallis Test Sign Test and Wilcoxon Signed-Rank Test for Matched Pairs Friedman's Test Summary References8. Logistic Regression Introduction to Logistic Regression Simple Logistic Regression Multiple Logistic Regression Summary ReferencesAppendix A: A Brief Tutorial for Using SPSS for Windows Working With Data in SPSS Transforming, Recoding, and Categorizing Your DataAppendix B: Choosing the Right Procedure to Use How to Use the TablesIndexAbout the Authors
Synopsis
Statistical Analysis Quick Reference Guidebook: With SPSS Examples is a practical "cut to the chase" handbook that quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision-making in a wide variety of disciplines. In this one-stop reference, authors Alan C. Elliott and Wayne A. Woodward provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results, and reporting outcomes. Key Features: Provides relevant statistical concepts in a comprehensible style: This reference is accessibly designed to assist researchers in applying the proper statistical procedure to their data and reporting results in a professional manner consistent with commonly accepted practice. This guidebook helps researchers make sure they are using an appropriate application, design considerations, tips and caveats, and much more! Offers statistical insights with SPSS examples: Examples for each analysis are performed using SPSS and step-by-step instructions on how to perform the analysis are given. This guidebook provides information about how to plan a study, prepare data for analysis in SPSS, perform the analysis, and interpret the SPSS output. It also covers useful analyses using SPSS that are not often included in other SPSS how-to books. Answers many statistical questions on the spot: Written from the perspective of a statistical consultant, this book provides a wealth of information to the researcher who has limited statistical experience. From assumptions and design to computation, interpretation, and presentation of results, the information provided in this book saves the researcher time, money, and frustration! IntendedAudience: This guidebook is designed to be a statistical reference book for a wide variety of disciplines in the sciences and social sciences. It is specifically useful for undergraduate and graduate introductory statistical methods course that emphasizes the use of computers, particularly SPSS, to perform analyses., Statistical Analysis Quick Reference Guidebook: With SPSS Examples is a practical "cut to the chase" handbook that quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision-making in a wide variety of disciplines. In this one-stop reference, authors Alan C. Elliott and Wayne A. Woodward provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results, and reporting outcomes., A practical 'cut to the chase handbook that quickly explains the when, where, and how of statistical data analysis as it is used for real-world decision-making in a wide variety of disciplines. In this one-stop reference, the authors provide succinct guidelines for performing an analysis, avoiding pitfalls, interpreting results and reporting outcomes.
LC Classification Number
HA29.E4826 2007

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