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Data Analysis with SPSS by Sweet, Stephen A.; Grace-Martin, Karen

by Sweet, Stephen A.; Grace-Martin, Karen | PB | Good
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Objectstaat
Goed
Een boek dat is gelezen, maar zich in goede staat bevindt. De kaft is zeer minimaal beschadigd (er zijn bijvoorbeeld slijtplekken), maar er zijn geen deukjes of scheuren. De harde kaft heeft mogelijk geen stofomslag meer. De boekband vertoont minimale slijtage. De meeste bladzijden zijn onbeschadigd. Er zijn weinig vouwen en scheuren en er is vrijwel geen tekst met potlood onderstreept of met een accentueerstift gemarkeerd. Er is niet in de kantlijn geschreven. Er ontbreken geen bladzijden. Bekijk de aanbieding van de verkoper voor de volledige details en een beschrijving van gebreken. Alle staatdefinities bekijkenwordt in nieuw venster of op nieuw tabblad geopend
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“Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, ...
Binding
Paperback
Book Title
Data Analysis with SPSS
Weight
1 lbs
Product Group
Book
IsTextBook
Yes
ISBN
9780205340576

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Product Identifiers

Publisher
Allyn & Bacon, Incorporated
ISBN-10
0205340571
ISBN-13
9780205340576
eBay Product ID (ePID)
2260401

Product Key Features

Number of Pages
236 Pages
Publication Name
Data Analysis with SPSS
Language
English
Subject
Mathematical & Statistical Software, Sociology / General
Publication Year
2002
Features
Revised
Type
Textbook
Subject Area
Computers, Social Science
Author
Stephen A. Sweet, Karen Grace-Martin
Format
CD-ROM / Trade Paperback

Dimensions

Item Height
0.5 in
Item Weight
19.7 Oz
Item Length
10.8 in
Item Width
8.3 in

Additional Product Features

Edition Number
2
Intended Audience
College Audience
Dewey Edition
21
Illustrated
Yes
Dewey Decimal
519.5/02855369
Edition Description
Revised edition
Table Of Content
Each chapter begins with Overview and concludes with Summary, Key Terms, References and Further Reading, and Exercises. Preface. Acknowledgements. About the Authors. 1. Key Concepts in Social Science Research. Empiricism and Social Science Research. Data. Developing Research Questions. Theory and Hypothesis. Relationships and Causality. 2. Getting Started: Accessing, Examining, and Saving Data. The Layout of SPSS. Types of Variables. Defining and Saving a New Data Set. Managing Data Sets: Dropping and Adding Variables. Merging and Importing Files. Loading and Examining an Existing File. Managing Variable Names and Labels. 3. Univariate Analysis: Descriptive Statistics. Why Do Researchers Perform Univariate Analysis? Exploring Distributions of Numerical Variables. Exploring Distributions of Categorical Variables. 4. Constructing Variables. Why Construct New Variables? Recoding Existing Variables. Computing New Variables. Recording and Running Computations Using Syntax. Using Compute to Construct an Index with Syntax. 5. Assessing Association through Bivariate Analysis. Why Do We Need Significance Tests? Analyzing Bivariate Relationships Between Two Categorical Variables. Analyzing Bivariate Relationships Between Two Numerical Variables. 6. Comparing Groups through Bivariate Analysis. One-Way Analysis of Variance. Graphing the Results of an ANOVA. Post-Hoc Tests. Assumptions of ANOVA. t Tests. 7. Multivariate Analysis with Linear Regression. What Are the Advantages of Multivariate Analysis? When Can I Do a Linear Regression? Linear Regression: A Bivariate Example. Interpreting Linear Regression Coefficients. Interpreting the R-Square Statistic. Using Linear Regression Coefficients to Make Predictions. Using Coefficients to Graph Bivariate Regression Lines. Multiple Linear Regression. Other Concerns of Linear Regression. 8. Multivariate Analysis with Logistic Regression. What Is Logistic Regression? What Are the Advantages of Logistic Regression? When Can I Do a Logistic Regression? Understanding the Relationships through Probabilities. Logistic Regression: A Bivariate Example. Multivariate Logistic Regression: An Example. 9. Writing a Research Report. Writing Style and Audience. The Structure of a Report. 10. Research Projects. Potential Research Projects. Research Project 1: Racism. Research Project 2: Suicide. Research Project 3: Criminality. Research Project 4: Welfare. Research Project 5: Sexual Behavior. Research Project 6: Education. Research Project 7: Your Topic. Appendix 1: STATES.SAV Descriptives. Appendix 2: GSS98.SAV File Information. Appendix 3: Variable Label Abbreviations. Permissions. Index.
Synopsis
The Chatfield family - half living in the UK, the other in New Zealand - found out the stark realities of survival after a deadly pandemic swept across the world. Now escaping the repressive regime at Haver Hall in the UK, a group sails back to the southern hemisphere. Stopping in South Africa and then Australia, they are faced by unexpected dangers but also the hope that there might be other survivors. What awaits them in New Zealand, though, is even more challenging. And can those left in the UK survive each other? An exciting page-turner that keeps surprising . . . up to the last page., Designed to teach students how to explore data in a systematic manner using professional social statistics program. This book first introduces students to the approach researchers use to frame research questions and the logic of establishing causal relations. Students are then oriented to the SPSS program, and taught how to examine data sets., Data Analysis with SPSS is designed to teach students how to explore data in a systematic manner using the most popular professional social statistics program on the market today. Written in ten manageable chapters, this book first introduces students to the approach researchers use to frame research questions and the logic of establishing causal relations. Students are then oriented to the SPSS program and how to examine data sets. Subsequent chapters guide them through univariate analysis, bivariate analysis, graphic analysis, and multivariate analysis. Students conclude their course by learning how to write a research report and by engaging in their own research project. Each book is packaged with a disk containing the GSS (General Social Survey) file and the States data files. The GSS file contains 100 variables generated from interviews with 2,900 people, concerning their behaviors and attitudes on a wide variety of issues such as abortion, religion, prejudice, sexuality, and politics. The States data allows comparison of all 50 states with 400 variables indicating issues such as unemployment, environment, criminality, population, and education. Students will ultimately use these data to conduct their own independent research project with SPSS.

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