CART

(0) items

SPSS Survival Manual,9780335216406
This item qualifies for
FREE SHIPPING!

FREE SHIPPING OVER $59!

Your order must be $59 or more, you must select US Postal Service Shipping as your shipping preference, and the "Group my items into as few shipments as possible" option when you place your order.

Bulk sales, PO's, Marketplace Items, eBooks, Apparel, and DVDs not included.

SPSS Survival Manual

by
Edition:
2nd
ISBN13:

9780335216406

ISBN10:
0335216404
Format:
Paperback
Pub. Date:
11/1/2004
Publisher(s):
Open University Press
List Price: $63.95
More New and Used
from Private Sellers
Starting at $24.24
See Prices

Rent Textbook

We're Sorry
Sold Out

Used Textbook

We're Sorry
Sold Out

eTextbook

We're Sorry
Not Available

New Textbook

We're Sorry
Sold Out

Related Products


  • SPSS Survival Manual : A Step by Step Guide to Data Analysis Using SPSS for Windows
    SPSS Survival Manual : A Step by Step Guide to Data Analysis Using SPSS for Windows
  • SPSS Survival Manual : A Step by Step Guide to Data Analysis Using the SPSS Program
    SPSS Survival Manual : A Step by Step Guide to Data Analysis Using the SPSS Program




Summary

The SPSS Survival Manual throws a lifeline to students and researchers grappling with the SPSS data analysis software. In this fully revised edition of her bestselling text, Julie Pallant guides you through the entire research process, helping you choose the right data analysis technique for your project. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, Julie discusses basic and advanced statistical techniques. She outlines each technique clearly, with step-by-step procedures for performing the analysis, a detailed guide to interpreting SPSS output and an example of how to present the results in a report. Statistical techniques covered include: Descriptive statistics Correlation Multiple regression Logistic regression Factor analysis T-tests Analysis of variance Multivariate analysis of variance Analysis of covariance Non-parametric tests For both beginners and experienced SPSS users in psychology, education, business, sociology, health and related disciplines, the SPSS Survival Manual is an essential guide. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing. This second edition includes new examples, a new section on logistic regression and fully integrated coverage of SPSS version 12.

Author Biography

Julie Pallant (Australia) lectures in statistics in the School of Mathematical Sciences at Swinburne University.

Table of Contents

Data files and website xi
Introduction and overview xii
Structure of this book xiii
Using this book xiii
Research tips xv
Additional resources xvi
Part One Getting started
1(24)
Designing a study
3(9)
Planning the study
3(2)
Choosing appropriate scales and measures
5(2)
Preparing a questionnaire
7(3)
References
10(2)
Preparing a codebook
12(4)
Variable names
12(2)
Coding responses
14(1)
Coding open-ended questions
14(2)
Getting to know SPSS
16(9)
Starting SPSS
16(1)
Opening an existing data file
16(1)
Working with data files
17(1)
SPSS windows
18(4)
Menus
22(1)
Dialogue boxes
22(2)
Closing SPSS
24(1)
Getting help
24(1)
Part Two Preparing the data file
25(22)
Creating a data file and entering data
27(13)
Changing the SPSS `Options'
27(3)
Defining the variables
30(4)
Entering data
34(1)
Modifying the data file
35(3)
Data entry using Excel
38(2)
Screening and cleaning the data
40(7)
Step 1: Checking for errors
40(3)
Step 2: Finding the error in the data file
43(2)
Step 3: Correcting the error in the data file
45(1)
Reference
46(1)
Part Three Preliminary analyses
47(66)
Descriptive statistics
49(15)
Categorical variables
49(1)
Continuous variables
50(3)
Assessing normality
53(5)
Checking for outliers
58(4)
Additional exercises
62(1)
References
63(1)
Using graphs to describe and explore the data
64(14)
Histograms
64(2)
Bar graphs
66(2)
Scatterplots
68(2)
Boxplots
70(2)
Line graphs
72(2)
Editing a chart/graph
74(1)
Importing charts/graphs into Word documents
75(1)
Additional exercises
76(2)
Manipulating the data
78(12)
Calculating total scale scores
78(4)
Transforming variables
82(3)
Collapsing a continuous variable into groups
85(1)
Collapsing the number of categories of a categorical variable
86(2)
Additional exercises
88(1)
Reference
89(1)
Checking the reliability of a scale
90(4)
Details of example
90(2)
Interpreting the output from reliability
92(1)
Presenting the results from reliability
92(1)
Additional exercises
93(1)
References
93(1)
Choosing the right statistic
94(19)
Overview of the different statistical techniques
94(4)
The decision-making process
98(6)
Key features of the major statistical techniques
104(5)
References
109(1)
Summary table of the characteristics of the main statistical techniques
110(3)
Part Four Statistical techniques to explore relationships among variables
113(82)
Techniques covered in Part Four
113(1)
Revision of the basics
114(5)
References
119(2)
Correlation
121(15)
Details of example
122(1)
Preliminary analyses for correlation
123(2)
Interpretation of output from correlation
125(2)
Presenting the results from correlation
127(1)
Obtaining correlation coefficients between groups of variables
128(2)
Comparing the correlation coefficients for two groups
130(2)
Testing the statistical significance of the difference between correlation coefficients
132(3)
Additional exercises
135(1)
Reference
135(1)
Partial correlation
136(4)
Details of example
136(2)
Interpretation of output from partial correlation
138(1)
Presenting the results from partial correlation
139(1)
Additional exercises
139(1)
References
139(1)
Multiple regression
140(20)
Major types of multiple regression
141(1)
Assumptions of multiple regression
142(2)
Details of example
144(2)
Standard multiple regression
146(9)
Hierarchical multiple regression
155(2)
Interpretation of output from hierarchical multiple regression
157(1)
Presenting the results from multiple regression
158(1)
Additional exercises
158(1)
References
159(1)
Logistic regression
160(12)
Assumptions
161(1)
Details of example
162(1)
Data preparation: coding of responses
162(4)
Interpretation of output from logistic regression
166(4)
Presenting the results from logistic regression
170(1)
References
171(1)
Factor analysis
172(23)
Steps involved in factor analysis
173(4)
Details of example
177(1)
Procedure for factor analysis
178(12)
Warning
190(1)
Presenting the results from factor analysis
190(2)
Additional exercises
192(1)
References
193(2)
Part Five Statistical techniques to compare groups
195(105)
Techniques covered in Part Five
195(1)
Assumptions
196(2)
Type 1 error, Type 2 error and power
198(1)
Planned comparisons/Post-hoc analyses
199(2)
Effect size
201(2)
References
203(2)
T-tests
205(9)
Independent-samples t-test
205(4)
Paired-samples t-test
209(4)
Additional exercises
213(1)
Reference
213(1)
One-way analysis of variance
214(15)
One-way between-groups Anova with post-hoc tests
215(5)
One-way between-groups Anova with planned comparisons
220(3)
One-way repeated measures Anova
223(4)
Additional exercises
227(1)
References
228(1)
Two-way between-groups Anova
229(10)
Details of example
229(4)
Interpretation of output from two-way Anova
233(3)
Presenting the results from two-way Anova
236(1)
Additional analyses if you obtain a significant interaction effect
236(1)
Additional exercises
237(1)
References
238(1)
Mixed between-within subjects analysis of variance
239(8)
Details of example
239(5)
Interpretation of output from mixed between-within Anova
244(2)
Presenting the results from mixed between-within Anova
246(1)
References
246(1)
Multivariate analysis of variance
247(16)
Details of example
248(1)
Assumption testing
249(6)
Performing Manova
255(3)
Interpretation of output from Manova
258(3)
Presenting the results from Manova
261(1)
Additional exercises
261(1)
References
261(2)
Analysis of covariance
263(23)
Uses of ANCOVA
263(2)
Assumptions of ANCOVA
265(2)
One-way ANCOVA
267(10)
Two-way ANCOVA
277(8)
References
285(1)
Non-parametric statistics
286(14)
Summary of techniques covered in this chapter
286(1)
Chi-square
287(4)
Mann-Whitney U Test
291(1)
Wilcoxon Signed Rank Test
292(2)
Kruskal-Wallis Test
294(2)
Friedman Test
296(1)
Spearman's Rank Order Correlation
297(1)
Additional exercises
298(1)
References
299(1)
Appendix Details of data files
300(13)
Part A: Materials for survey.sav
302(5)
Part B: Materials for experim.sav
307(1)
Part C: Materials for staffsurvey.sav
308(3)
Part D: Materials for sleep.sav
311(2)
Recommended references 313(3)
Index 316


Please wait while the item is added to your cart...