Using SPSS for Windows and Macintosh

Analyzing and Understanding Data: United States Edition

Samuel B. Green, Neil J. Salkind (Autoren)

Buch | Softcover

480 Seiten

2010 | 6th edition
Pearson (Verlag)
978-0-205-02040-9 (ISBN)

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For courses in Introductory Statistics and Research Methods courses using SPSS.

Using SPSS guides students through the most basic of SPSS techniques using step-by-step descriptions, presents statistical techniques and instruction on how to conduct statistical analyses, and explains in detail how to avoid all the obstacles common in the study of statistics.

The development of easy-to-use statistical software like SPSS has changed the way statistics is being taught and learned. Students can make transformations of variables, create graphs of distributions of variables, and select among statistical analyses all at the click of a button. However, even with these advancements, students sometimes still find statistics to be an arduous task. They continue to be faced with many potential obstacles and they might feel overwhelmed and stressed rather than challenged and excited about the potential for mastering these important skills. Samuel Green and Neil Salkind have written a text to specifically address these issues.

Neil J. Salkind is a professor emeritus of educational psychology at the University of Kansas where he taught for 35 years. He received his degree from the University of Maryland's Institute for Child Study and has published numerous journal articles and books, among them being Using SPSS with Sam Green (Prentice Hall), Exploring Research (Prentice Hall) and Statistics for People Who (Think They) Hate Statistics (Sage). He is active in the Society for Research in Child Development where he edited the journal Child Development Abstracts & Bibliography, and the American Psychological Association. He lives in Lawrence, KS.

Preface

Part I       Introducing SPSS

Unit 1 Getting Started with SPSS

    Lesson 1      Starting SPSS

    Lesson 2      The SPSS Main Menus and Toolbar

    Lesson 3      Using SPSS Help

    Lesson 4      A Brief SPSS Tour

Unit 2       Creating and Working with Data Files

    Lesson 5      Defining Variables

    Lesson 6      Entering and Editing Data

    Lesson 7      Inserting and Deleting Cases and Variables

    Lesson 8      Selecting, Copying, Cutting, and Pasting Data

    Lesson 9      Printing and Exiting an SPSS Data File

    Lesson 10    Exporting and Importing SPSS Data

    Lesson 11 Validating SPSS Data

Unit 3       Working with Data

    Lesson 12    Finding Values, Variables, and Cases

    Lesson 13    Recoding Data and Computing Values

    Lesson 14    Sorting, Transposing, and Ranking Data

    Lesson 15    Splitting and Merging Files

Unit 4A     Working with SPSS Charts and Output for Windows

    Lesson 16A Creating an SPSS Chart

    Lesson 17A Enhancing SPSS Charts

    Lesson 18A Using the Viewer and Pivot Tables

Unit 4B     Working with SPSS Charts and Output for Macintosh

    Lesson 16B Creating an SPSS Chart

    Lesson 17B Enhancing SPSS Charts

    Lesson 18B Using the Viewer and Pivot Tables

Part II      Working with SPSS Procedures

Unit 5       Creating Variables and Computing Descriptive Statistics

    Lesson 19    Creating Variables

    Lesson 20    Univariate Descriptive Statistics for Qualitative Variables

    Lesson 21    Univariate Descriptive Statistics for Quantitative Variables

Unit 6       t Test Procedures

    Lesson 22    One-Sample t Test

    Lesson 23    Paired-Samples t Test

    Lesson 24    Independent-Samples t Test

Unit 7       Univariate and Multivariate
                  Analysis-of-Variance Techniques

    Lesson 25    One-Way Analysis of Variance

    Lesson 26    Two-Way Analysis of Variance

    Lesson 27    One-Way Analysis of Covariance

    Lesson 28    One-Way Multivariate Analysis of Variance

    Lesson 29    One-Way Repeated-Measures Analysis of Variance

    Lesson 30    Two-Way Repeated-Measures Analysis of Variance

Unit 8  Correlation, Regression, and Discriminant Analysis Procedures

    Lesson 31    Pearson Product-Moment Correlation Coefficient

    Lesson 32    Partial Correlations

    Lesson 33    Bivariate Linear Regression

    Lesson 34    Multiple Linear Regression

    Lesson 35    Discriminant Analysis

Unit 9       Scaling Procedures

    Lesson 36 Factor Analysis

    Lesson 37    Internal Consistency Estimates of Reliability

    Lesson 38    Item Analysis Using the Reliability Procedure

Unit 10     Nonparametric Procedures

    Lesson 39    Binomial Test

    Lesson 40    One-Sample Chi-Square Test

    Lesson 41    Two-Way Contingency Table Analysis Using Crosstabs

    Lesson 42    Two Independent-Samples Test: The Mann-Whitney U Test

    Lesson 43    K Independent-Samples Tests: The Kruskal-Wallis and the Median Tests

    Lesson 44    Two Related-Samples Tests: The McNemar, the Sign, and the Wilcoxon Tests

    Lesson 45    K Related-Samples Tests: The Friedman and the Cochran Tests

Appendix A        Data for Crab Scale and Teacher Scale

Appendix B        Methods for Controlling Type I Error across Multiple Hypothesis Tests

Appendix C        Selected Answers to Lesson Exercises

References

Index

Erscheint lt. Verlag	27.8.2010
Sprache	englisch
Maße	274 x 214 mm
Gewicht	1083 g
Themenwelt	Geisteswissenschaften ► Psychologie
	Mathematik / Informatik ► Mathematik ► Computerprogramme / Computeralgebra
	Sozialwissenschaften ► Politik / Verwaltung
	Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
ISBN-10	0-205-02040-2 / 0205020402
ISBN-13	978-0-205-02040-9 / 9780205020409
Zustand	Neuware