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IBM SPSS for Psychologists: Fifth Edition 6th edition [Pehme köide]

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, (The University of New South Wales, Australia), (University of Westminster, United Kingdom)
  • Formaat: Paperback / softback, 440 pages, kaal: 952 g
  • Ilmumisaeg: 16-Jun-2016
  • Kirjastus: Psychology Press Ltd
  • ISBN-10: 1138189529
  • ISBN-13: 9781138189522
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IBM SPSS for Psychologists: Fifth Edition 6th editionSuurem pilt
  • Formaat: Paperback / softback, 440 pages, kaal: 952 g
  • Ilmumisaeg: 16-Jun-2016
  • Kirjastus: Psychology Press Ltd
  • ISBN-10: 1138189529
  • ISBN-13: 9781138189522
Teised raamatud teemal:
Püsilink: https://www.kriso.ee/db/9781138189522.html
Combining comprehensive coverage with an accessible style, the new edition of this best-selling guide leads users step-by-step through the process of using IBM SPSS version 23 to analyze research data. The authors review the basic issues regarding research design and proceed through all of the major statistical techniques, from introductory to advanced level. Readers are introduced to the rationale and use of each test and shown how to choose, perform, and report the statistical analysis of their own data. Each statistical test features a brief description, an example of typical research that might be analyzed using the test and step-by-step instructions on how to perform the test using IBM SPSS. Annotated examples of output help readers understand and report the results of their analyses. Sample screenshots and key tip boxes help readers track their progress and avoid common pitfalls. Sample exercises and datasets are available at www.he.palgrave.com/psychology/brace. Whether youre new to statistical analysis, or a more experienced researcher in need of a refresher, this book is an essential resource for those who use IBM SPSS.

The sixth edition of SPSS for Psychologists (and everybody else):











is compliant with SPSS version 23, and backward-compatible with previous versions of the software





has been fully updated and revised throughout, and now provides coverage of syntax





features a brand-new, reader-friendly layout that makes navigation even easier than before





offers a sophisticated range of video tutorials, along with sample exercises, datasets and other useful resources at www.he.palgrave.com/psychology/brace.



An ideal supplement for courses in statistics, quantitative analysis or techniques, research methods, research (experimental design) or any course in which IBM SPSS is used this book is also appreciated by researchers interested in using SPSS for their data analysis.

Arvustused

"I found the book very clear and intuitive in both its layout and writing style. The step-by-step walkthroughs and figures will prove invaluable to both undergraduate and postgraduate Psychology students alike in trying to navigate SPSS. The writing style reaches a good balance of being not overly technical or patronising to the reader!" Jonathan Catling, University of Birmingham, UK

"A thorough guide for undergraduate students. Lots of illustrations with useful comments that will make it easier for students to understand why they are doing what they are doing, and pitched at the right level academic rigour perfectly balanced with student-friendly language. The authors have a knack for making complex concepts accessible. The complementary exercises are an added asset." Ana Fernández, Canterbury Christ Church University, UK

Preface x
Acknowledgements xiii
Chapter 1 Introduction
1(17)
Section 1 Psychological research and SPSS
1(10)
Section 2 Guide to the statistical tests covered
11(1)
Section 3 Working with SPSS
12(2)
Section 4 Starting SPSS
14(2)
Section 5 How to exit from SPSS
16(2)
Chapter 2 Data entry in SPSS
18(24)
Section 1 The Data Editor window
18(1)
Section 2 Defining a variable in SPSS
19(11)
Section 3 Entering data
30(2)
Section 4 Saving a data file
32(2)
Section 5 Opening a data file
34(2)
Section 6 Data entry exercises
36(2)
Section 7 Answers to data entry exercises
38(2)
Section 8 Checking and cleaning data files
40(2)
Chapter 3 Exploring and cleaning data in SPSS
42(36)
Section 1 Descriptive statistics
42(1)
Section 2 The Descriptives command
43(3)
Section 3 The Viewer window
46(4)
Section 4 The Frequencies command
50(4)
Section 5 The Explore command
54(8)
Section 6 Using descriptive statistics to check your data
62(4)
Section 7 Introducing graphing in SPSS
66(2)
Section 8 Chart Builder
68(5)
Section 9 Graphboard Template Chooser
73(5)
Chapter 4 Data handling
78(30)
Section 1 An introduction to data handling
78(1)
Section 2 Sorting a file
79(2)
Section 3 Splitting a file
81(2)
Section 4 Selecting cases
83(4)
Section 5 Recoding values
87(5)
Section 6 Computing new variables
92(3)
Section 7 Counting values
95(1)
Section 8 Ranking cases
96(3)
Section 9 Data transformation
99(6)
Section 10 Data file for scales or questionnaires
105(3)
Chapter 5 Tests of difference for one- and two-sample designs
108(24)
Section 1 An introduction to t-tests
108(1)
Section 2 The one-sample t-test
109(3)
Section 3 The independent t-test
112(7)
Section 4 The paired t-test
119(5)
Section 5 An introduction to nonparametric tests of difference
124(1)
Section 6 The Mann--Whitney test
124(3)
Section 7 The Wilcoxon test
127(5)
Chapter 6 Tests of correlation and bivariate regression
132(29)
Section 1 An introduction to tests of correlation
132(1)
Section 2 Producing a scattergram
133(8)
Section 3 Pearson's r: parametric test of correlation
141(4)
Section 4 Spearman's rs: nonparametric test of correlation
145(3)
Section 5 Comparing the strength of correlation coefficients
148(3)
Section 6 Brief introduction to regression
151(1)
Section 7 Bivariate regression
152(9)
Chapter 7 Tests for nominal data
161(26)
Section 1 Nominal data and dichotomous variables
161(2)
Section 2 Chi-square test versus the chi-square distribution
163(1)
Section 3 The goodness of fit chi-square
163(1)
Section 4 The multidimensional chi-square
164(15)
Section 5 The McNemar test for repeated measures
179(8)
Chapter 8 Analysis of variance
187(62)
Section 1 An introduction to analysis of variance (ANOVA)
187(11)
Section 2 One-way between-subjects ANOVA, planned and unplanned comparisons, and nonparametric equivalent
198(15)
Section 3 Two-way between-subjects ANOVA
213(8)
Section 4 One-way within-subjects ANOVA, planned and unplanned comparisons, and nonparametric equivalent
221(10)
Section 5 Two-way within-subjects ANOVA
231(9)
Section 6 Mixed ANOVA
240(9)
Chapter 9 Multiple regression
249(27)
Section 1 An introduction to multiple regression
249(9)
Section 2 Standard or simultaneous method of multiple regression
258(8)
Section 3 Sequential or hierarchical method of multiple regression
266(6)
Section 4 Statistical methods of multiple regression
272(4)
Chapter 10 Analysis of covariance and multivariate analysis of variance
276(23)
Section 1 An introduction to analysis of covariance
276(3)
Section 2 Performing analysis of covariance on SPSS
279(9)
Section 3 An introduction to multivariate analysis of variance
288(3)
Section 4 Performing multivariate analysis of variance on SPSS
291(8)
Chapter 11 Discriminant analysis and logistic regression
299(23)
Section 1 Discriminant analysis and logistic regression
299(2)
Section 2 An introduction to discriminant analysis
301(2)
Section 3 Performing discriminant analysis using SPSS
303(11)
Section 4 An introduction to logistic regression
314(1)
Section 5 Performing logistic regression on SPSS
315(7)
Chapter 12 Factor analysis, and reliability and dimensionality of scales
322(36)
Section 1 An introduction to factor analysis
322(9)
Section 2 Performing a basic factor analysis using SPSS
331(12)
Section 3 Other aspects of factor analysis
343(5)
Section 4 Reliability analysis for scales and questionnaires
348(5)
Section 5 Dimensionality of scales and questionnaires
353(5)
Chapter 13 Using syntax and other useful features of SPSS
358(24)
Section 1 The Syntax window
358(8)
Section 2 Syntax examples
366(3)
Section 3 Getting help in SPSS
369(4)
Section 4 Option settings in SPSS
373(2)
Section 5 Printing from SPSS
375(2)
Section 6 Incorporating SPSS output into other documents
377(2)
Section 7 SPSS and Excel: importing and exporting data files
379(3)
Appendix 382(13)
Glossary 395(18)
References 413(2)
Index 415
Nicola Brace is a Senior Lecturer in Psychology at the Open University, UK. Richard Kemp is an Associate Professor in Psychology at the University of New South Wales, Sydney, Australia. Rosemary Snelgar is Principal Lecturer in Psychology at the University of Westminster, UK.