SPSS survival manual : a step by step guide to data analysis using IBM SPSS
Pallant, Julie2016
Book
Total copies: 1
'SPSS Survival Manual' throws a lifeline to students and researchers grappling with this data analysis software. From the formulation of research questions, to the design of the study and analysis of data, to reporting the results, the author discusses basic and advanced statistical techniques. 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."
Main title:
Author:
Pallant, Julie, author
Edition:
6th edition.
Imprint:
Maidenhead, Berkshire, England : McGraw-Hill Education, 2016.
Collation:
xv, 352 pages : illustrations (black and white) ; 26 cm
Notes:
Previous edition: 2013.Includes bibliographical references and index.
Contents:
<div><i>Preface</i></div><div><i>Data files and website</i></div><div> </div><div> Part One<span class="Apple-tab-span" style="white-space:pre"></span><span class="Apple-tab-span" style="white-space:pre"></span>Getting started </div><div>1 Designing a study </div><div>2 Preparing a codebook</div><div>3 Getting to know IBM SPSS </div><div> </div><div> Part Two<span class="Apple-tab-span" style="white-space:pre"></span>Preparing the data file </div><div>4 Creating a data file and entering data </div><div>5 Screening and cleaning the data </div><div> </div><div> Part Three<span class="Apple-tab-span" style="white-space:pre"></span>Preliminary analyses </div><div>6 Descriptive statistics</div><div>7 Using graphs to describe and explore the data </div><div>8 Manipulating the data </div><div>9 Checking the reliability of a scale </div><div>10 Choosing the right statistic </div><div> </div><div> Part Four<span class="Apple-tab-span" style="white-space:pre"></span>Statistical techniques to explore relationships among variables </div><div>11 Correlation </div><div>12 Partial correleation </div><div>13 Multiple regression </div><div>14 Logistic regression </div><div>15 Factor analysis</div><div> </div><div> Part Five<span class="Apple-tab-span" style="white-space:pre"></span>Statistical techniques to compare groups </div><div>16 Non-parametric statistics </div><div>17 T-tests </div><div>18 One-way analysis of variance </div><div>19 Two-way between-groups ANOVA </div><div>20 Mixed between-within subjects analysis of variance </div><div>21 Multivariate analysis of variance </div><div>22 Analysis of covariance </div><div> </div><div><i>Appendix: Details of data files </i></div><div><i>Recommended reading </i></div><div><i>References </i></div><div><i>Index</i></div><div> </div>
ISBN:
9780335261543 (spiralbound)
Dewey class:
300.285555300.2855 PAL
LC class:
HA32
Language:
English
Subject:
BRN:
338079