Introduction to SPSS in Psychology: For Version 16 and earlier
Autor Dennis Howitt, Dr Duncan Crameren Limba Engleză Mixed media product – 6 feb 2008
The fourth edition provides new and extended coverage of what needs to be known about each statistical and data analysis procedure. The user is given a step-by-step guide through what kinds of data to enter and how; the SPSS steps needed to complete the analysis; and how to understand and write-up the results of the analysis. In no time, users will gain confidence that they understand a full range of statistical techniques and how to use them in practice.
This book is accompanied by a CD containing datasets, worked examples and exercises to allow practice and revision of techniques covered in the book.
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Specificații
ISBN-13: 9780132051644
ISBN-10: 0132051648
Pagini: 416
Dimensiuni: 189 x 246 mm
Greutate: 0.82 kg
Ediția:4Nouă
Editura: Pearson Education
Colecția Prentice Hall
Locul publicării:Harlow, United Kingdom
ISBN-10: 0132051648
Pagini: 416
Dimensiuni: 189 x 246 mm
Greutate: 0.82 kg
Ediția:4Nouă
Editura: Pearson Education
Colecția Prentice Hall
Locul publicării:Harlow, United Kingdom
Cuprins
Introduction
Acknowledgements
Key Differences between SPSS 16 and earlier versions
Guided tour of the book
Guided tour of the accompanying CD
Part 1 Introduction to SPSS
1. Basics of SPSS data entry and statistical analysis
Part 2 Descriptive statistics
2. Describing variables: Tables and diagrams
3. Describing variables numerically: Averages, variation and spread
4. Shapes of distributions of scores
5. Standard deviation: The standard unit of measurement in statistics
6. Relationships between two or more variables: Diagrams and tables
7. Correlation coefficients: Pearson's correlation and Spearman's rho
8. Regression: Prediction with precision
Part 3 Significance testing and basic inferential tests
9. Standard error
10. The t-test: Comparing two samples of correlated/related scores
11. The t-test: Comparing two groups of unrelated/uncorrelated scores
12. Confidence intervals
13. Chi-square: Differences between samples of frequency data
14. Ranking tests for two groups: Non-parametric statistics
15. Ranking tests for three or more groups: Non-parametric statistics
Part 4 Analysis of variance
16. The variance ratio test: Using the F-ratio to compare two variances
17. Analysis of variance (ANOVA): Introduction to the one-way unrelated or uncorrelated ANOVA
18. Analysis of variance for correlated scores or repeated measures
19. Two-way analysis of variance for unrelated/uncorrelated scores
20. Multiple comparisons in ANOVA
21. Two-way mixed analysis of variance (ANOVA)
22. Analysis of covariance (ANCOVA)
23. Multivariate analysis of variance (MANOVA)
24. Discriminant function analysis (for MANOVA)
Part 5 More advanced correlational statistics
25. Partial correlation
26. Factor analysis
27. Item reliability and inter-rater agreement
28. Stepwise multiple regression
29. Hierarchical multiple regression
Part 6 Advanced qualitative or nominal techniques
30. Log-linear analysis
31. Multinomial logistic regression
32. Binomial logistic regression
Part 7 Data handling procedures
33. Reading ASCII or text files into the Data Editor
34. Missing values
35. Recoding values
36. Computing new variables with no values missing
37. Computing new variables with some values missing
38. Selecting cases
39. Samples and populations: Generating a random sample
40. Inputting a correlation matrix
41. Checking accuracy of data input
Appendix: Other statistics in SPSS
Glossary
Index
Acknowledgements
Key Differences between SPSS 16 and earlier versions
Guided tour of the book
Guided tour of the accompanying CD
Part 1 Introduction to SPSS
1. Basics of SPSS data entry and statistical analysis
Part 2 Descriptive statistics
2. Describing variables: Tables and diagrams
3. Describing variables numerically: Averages, variation and spread
4. Shapes of distributions of scores
5. Standard deviation: The standard unit of measurement in statistics
6. Relationships between two or more variables: Diagrams and tables
7. Correlation coefficients: Pearson's correlation and Spearman's rho
8. Regression: Prediction with precision
Part 3 Significance testing and basic inferential tests
9. Standard error
10. The t-test: Comparing two samples of correlated/related scores
11. The t-test: Comparing two groups of unrelated/uncorrelated scores
12. Confidence intervals
13. Chi-square: Differences between samples of frequency data
14. Ranking tests for two groups: Non-parametric statistics
15. Ranking tests for three or more groups: Non-parametric statistics
Part 4 Analysis of variance
16. The variance ratio test: Using the F-ratio to compare two variances
17. Analysis of variance (ANOVA): Introduction to the one-way unrelated or uncorrelated ANOVA
18. Analysis of variance for correlated scores or repeated measures
19. Two-way analysis of variance for unrelated/uncorrelated scores
20. Multiple comparisons in ANOVA
21. Two-way mixed analysis of variance (ANOVA)
22. Analysis of covariance (ANCOVA)
23. Multivariate analysis of variance (MANOVA)
24. Discriminant function analysis (for MANOVA)
Part 5 More advanced correlational statistics
25. Partial correlation
26. Factor analysis
27. Item reliability and inter-rater agreement
28. Stepwise multiple regression
29. Hierarchical multiple regression
Part 6 Advanced qualitative or nominal techniques
30. Log-linear analysis
31. Multinomial logistic regression
32. Binomial logistic regression
Part 7 Data handling procedures
33. Reading ASCII or text files into the Data Editor
34. Missing values
35. Recoding values
36. Computing new variables with no values missing
37. Computing new variables with some values missing
38. Selecting cases
39. Samples and populations: Generating a random sample
40. Inputting a correlation matrix
41. Checking accuracy of data input
Appendix: Other statistics in SPSS
Glossary
Index
Recenzii
‘A much greater emphasis on simplicity of presentation, explanation and clear step-by-step examples makes this new edition an essential student-friendly resource”
Chad Shepherd, Student, London South Bank University, UK
‘The text is student friendly and utilises real data sets, providing step-by-step illustrations and screenshots. This textbook makes light work of both the basic features and the more advanced elements of SPSS.’
Mary Low, St AndrewsUniversity
Chad Shepherd, Student, London South Bank University, UK
‘The text is student friendly and utilises real data sets, providing step-by-step illustrations and screenshots. This textbook makes light work of both the basic features and the more advanced elements of SPSS.’
Mary Low, St AndrewsUniversity
Textul de pe ultima copertă
Dennis Howitt and Duncan Cramer
Introduction to SPSS in Psychology
For Version 16 and earlier
Fourth Edition
"Precise and rigorous but at the same time practical and helpful"
Professor James A Hampton, City University
‘A much greater emphasis on simplicity of presentation, explanation and clear step-by-step examples makes this new edition an essential student-friendly resource”
Chad Shepherd, Student, London South Bank University, UK
‘The text is student friendly and utilises real data sets, providing step-by-step illustrations and screenshots. This textbook makes light work of both the basic features and the more advanced elements of SPSS.’
Mary Low, St AndrewsUniversity
Introduction to SPSS in Psychology, fourth edition, makes using SPSS for the analysis of data quick and simple. It offers the most comprehensive coverage of statistical techniques and how SPSS can handle and manipulate all kinds of data.
Just follow the screenshots and commentary in order to carry out a perfect analysis for the simplest or most complex data. At every step, the user is helped by clear advice and suggestions from authors familiar with the problems that users of SPSS may have.
The fourth edition provides new and extended coverage of what needs to be known about each statistical and data analysis procedure. The user is guided through what kinds of data to enter and how; the SPSS steps needed to complete the analysis; and how to understand and write-up the results of the analysis. In no time, users will gain confidence that they understand a full range of statistical techniques and how to use them in practice.
Key features
· Offers detailed and user-friendly guidance on the full range of statistical techniques required at all levels of research
· Explains step by step how to enter, analyse and interpret data using SPSS
· Gives detail about what to report and how to report it
New to the fourth edition
· Features an extended discussion of what each statistical technique involves; when it is used; when it shouldn’t be used; the sorts of data required for the analysis; and common problems that cause users difficulty
· Offers an improved structure to help users navigate the chapters more quickly and effectively
· Includes new chapters on MANOVA and discriminant function analysis as well as a comprehensive glossary
· Features examples from many fields of psychology to help users understand the range of applications of statistics in data analysis
CD icon: -
This book is accompanied by a CD containing datasets, worked examples and exercises to allow practice and revision of techniques covered in the book.
About the authors
Dennis Howitt is Reader in Psychology and Duncan Cramer is Professor of Psychology at LoughboroughUniversity.
Introduction to SPSS in Psychology
For Version 16 and earlier
Fourth Edition
"Precise and rigorous but at the same time practical and helpful"
Professor James A Hampton, City University
‘A much greater emphasis on simplicity of presentation, explanation and clear step-by-step examples makes this new edition an essential student-friendly resource”
Chad Shepherd, Student, London South Bank University, UK
‘The text is student friendly and utilises real data sets, providing step-by-step illustrations and screenshots. This textbook makes light work of both the basic features and the more advanced elements of SPSS.’
Mary Low, St AndrewsUniversity
Introduction to SPSS in Psychology, fourth edition, makes using SPSS for the analysis of data quick and simple. It offers the most comprehensive coverage of statistical techniques and how SPSS can handle and manipulate all kinds of data.
Just follow the screenshots and commentary in order to carry out a perfect analysis for the simplest or most complex data. At every step, the user is helped by clear advice and suggestions from authors familiar with the problems that users of SPSS may have.
The fourth edition provides new and extended coverage of what needs to be known about each statistical and data analysis procedure. The user is guided through what kinds of data to enter and how; the SPSS steps needed to complete the analysis; and how to understand and write-up the results of the analysis. In no time, users will gain confidence that they understand a full range of statistical techniques and how to use them in practice.
Key features
· Offers detailed and user-friendly guidance on the full range of statistical techniques required at all levels of research
· Explains step by step how to enter, analyse and interpret data using SPSS
· Gives detail about what to report and how to report it
New to the fourth edition
· Features an extended discussion of what each statistical technique involves; when it is used; when it shouldn’t be used; the sorts of data required for the analysis; and common problems that cause users difficulty
· Offers an improved structure to help users navigate the chapters more quickly and effectively
· Includes new chapters on MANOVA and discriminant function analysis as well as a comprehensive glossary
· Features examples from many fields of psychology to help users understand the range of applications of statistics in data analysis
CD icon: -
This book is accompanied by a CD containing datasets, worked examples and exercises to allow practice and revision of techniques covered in the book.
About the authors
Dennis Howitt is Reader in Psychology and Duncan Cramer is Professor of Psychology at LoughboroughUniversity.
Caracteristici
Features
· The text features an extended discussion of what each statistical technique involves; when it is used; when it shouldn’t be used; the sorts of data required for the analysis; and common problems that cause users difficulty
· Explains step by step how to enter, analyse and interpret data using SPSS
· Gives detail about what to report and how to report it
· Offers an improved structure to help users navigate the chapters more quickly and effectively
· Includes new chapters on MANOVA and Discriminant Function Analysis as well as a comprehensive glossary
· Features examples from many fields of psychology to help users understand the range of applications of statistics in data analysis
· It is accompanied by a CD containing datasets, worked examples and exercises to allow practice and revision of techniques covered in the book
· The text features an extended discussion of what each statistical technique involves; when it is used; when it shouldn’t be used; the sorts of data required for the analysis; and common problems that cause users difficulty
· Explains step by step how to enter, analyse and interpret data using SPSS
· Gives detail about what to report and how to report it
· Offers an improved structure to help users navigate the chapters more quickly and effectively
· Includes new chapters on MANOVA and Discriminant Function Analysis as well as a comprehensive glossary
· Features examples from many fields of psychology to help users understand the range of applications of statistics in data analysis
· It is accompanied by a CD containing datasets, worked examples and exercises to allow practice and revision of techniques covered in the book