SPSS Survival Manual
Spiral bound
Antal sidor
Open University Press
Black & white illustrations
260 x 230 x 25 mm
720 g
Antal komponenter
SPSS Survival Manual

SPSS Survival Manual

(3 röster)
Spiral bound Engelska, 2016-04-16
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The spss survival manual throws a lifeline to students and researchers grappling with this powerful data analysis software.
In her bestselling guide, 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 data output and an example of how to present the results in a report.
For both beginners and experienced users in psychology, sociology, health sciences, medicine, education, business and related disciplines, the spss survival manual is an essential text. Illustrated with screen grabs, examples of output and tips, it is supported by a website with sample data and guidelines on report writing.
This sixth edition is fully revised and updated to accommodate changes to IBM SPSS procedures, screens and output. It covers new SPSS tools for generating graphs and non-parametric statistics, importing data, and calculating dates. 5 star Amazon review:
"This is the book I wish I had whilst studying SPSS and experimental design on my MSc in social research methods. It is the clearest guide to SPSS that I have come across and it is very practical and easy to use. It has allowed me to revise statistical methods in a matter of days and I have gained a better understanding of these techniques than I had through using other much lengthier texts."

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  1. SPSS Survival Manual
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Övrig information

Julie Pallant has spent many years helping students overcome statistics phobia. She is currently a research coordinator in the Faculty of Medicine, Dentistry and Health Sciences at the University of Melbourne, Australia. Previously she has also worked as an applied statistics lecturer, counselling psychologist, and has taught psychology, statistics and research methods at a number of universities.


data files and website

part oneGetting started 
1 Designing a study 
2 Preparing a codebook
3 Getting to know IBM SPSS 

part twoPreparing the data file
4 Creating a data file and entering data 
5 Screening and cleaning the data 

part threePreliminary analyses
6 Descriptive statistics
7 Using graphs to describe and explore the data 
8 Manipulating the data 
9 Checking the reliability of a scale 
10 Choosing the right statistic 

part fourStatistical techniques to explore relationships among variables
11 Correlation 
12 Partial correleation 
13 Multiple regression 
14 Logistic regression 
15 Factor analysis

part fiveStatistical techniques to compare groups
16 Non-parametric statistics 
17 T-tests 
18 One-way analysis of variance 
19 Two-way between-groups ANOVA 
20 Mixed between-within subjects analysis of variance 
21 Multivariate analysis of variance 
22 Analysis of covariance 

appendix: details of data files 
recommended reading