Now updated for SPSS 16.0, this book is an excellent supplement to any introductory statistics course. It provides a practical and useful introduction to SPSS 16.0 and enables students to work independently to learn helpful software skills outside of class. By using SPSS to handle complex computations, students can focus on and gain an understanding of the underlying statistical concepts and techniques in the introductory statistics course. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Introduction to SPSS in Psychology 4/e, makes using SPSS for the analysis of data quick and simple. This student-friendly text offers the most comprehensive coverage of statistical techniques and how SPSS can handle and manipulate all kinds of data. 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.
This valuable book shows second language researchers how to use the statistical program SPSS to conduct statistical tests frequently done in SLA research. Using data sets from real SLA studies, A Guide to Doing Statistics in Second Language Research Using SPSS shows newcomers to both statistics and SPSS how to generate descriptive statistics, how to choose a statistical test, and how to conduct and interpret a variety of basic statistical tests. It covers the statistical tests that are most commonly used in second language research, including chi-square, t-tests, correlation, multiple regression, ANOVA and non-parametric analogs to these tests. The text is abundantly illustrated with graphs and tables depicting actual data sets, and exercises throughout the book help readers understand concepts (such as the difference between independent and dependent variables) and work out statistical analyses. Answers to all exercises are provided on the book’s companion website, along with sample data sets and other supplementary material.
This no-nonsense book teaches you everything you need to know about the newest version of SPSS for Windows so you can effectively use the program in your statistics class. The guide's simple, straightforward style frees you to concentrate on learning basic statistical concepts, while still developing familiarity with SPSS. In no time, you'll be using SPSS to do homework problems and conduct statistical analyses for research projects. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
A Guide to Doing Statistics in Second Language Research Using SPSS and R, Second Edition is the only text available that demonstrates how to use SPSS and R as specifically related to applied linguistics and SLA research. This new edition is up-to-date with the most recent version of the SPSS software and now also includes coverage of R, a software program increasingly used by researchers in this field. Supported by a number of pedagogical features, including tip boxes and practice activities, and a wealth of screenshots, this book takes readers through each step of performing and understanding statistical research, covering the most commonly used tests in second language research, including t-tests, correlation, and ANOVA. A robust accompanying website covers additional tests of interest to students and researchers, taking them step-by-step through carrying out these tests themselves. In this comprehensive and hands-on volume, Jenifer Larson-Hall equips readers with a thorough understanding and the practical skills necessary to conducting and interpreting statisical research effectively using SPSS and R, ideal for graduate students and researchers in SLA, social sciences, and applied lingustics. For more information and materials, please visit www.routledge.com/cw/larson-hall.
TheSPSS 16.0 Brief Guide provides a set of tutorials to acquaint you with the components of the SPSS system. Topics include reading data, using the Data Editor, examining summary statistics for individual variables, working with output, creating and editing charts, working with syntax, modifying data values, sorting and selecting data, and performing additional statistical procedures.
TheSPSS 16.0 Guide to Data Analysisis a friendly introduction to both data analysis and SPSS, the world's leading desktop statistical software package. Easy-to-understand explanations and in-depth content make this guide both an excellent supplement to other statistics texts and a superb primary text for any introductory data analysis course. With theSPSS 16.0 Guide to Data Analysis, you get a jump-start on describing data, testing hypotheses, and examining relationships using SPSS. Author Marija Noru is incorporates a wealth of data, including the General Social Survey and studies of Internet usage, opinions of the criminal justice system, marathon running times, library patronage, and the importance of manners. These data files are supplied with the book and are used throughout the examples and expanded chapter exercises. This unique combination of examples, exercises, and contemporary data gives you hands-on experience in analyzing data and makes learning about data analysis and statistical software relevant, unintimidating, and even fun! Data CD-ROM included.
SPSS Explainedprovides the student with all that they need to undertake statistical analysis using SPSS, guiding the student from the basic rationale behind the statistics, through detailed explanations of the procedures, and finally to all aspects of the SPSS output. The SPSS output is explained in a unique way: for each part of the output the explanation is divided into both an essentials section and an advanced section. The essentials section covers the basics that the student will need to write up statistics for a research report. The advanced section provides the more advanced student with an explanation for every part of the output to help with further understanding of the statistics. SPSS Explainedis supported by Perry Hinton's highly successful textbook Statistics Explainedwhich outlines all the major statistical tests used by undergraduates in psychology and the social sciences. Both books will be warmly welcomed by students at all levels, and by the lecturers who teach them. The authors collectively have many years' experience of teaching statistics to undergraduates in the social sciences. They all have current teaching expertise and deal with student SPSS questions on a daily basis.
SPSS Explained provides the student with all that they need to undertake statistical analysis using SPSS. It combines a step-by-step approach to each procedure with easy to follow screenshots at each stage of the process. A number of other helpful features are provided: regular advice boxes with tips specific to each test explanations divided into ‘essential’ and ‘advanced’ sections to suit readers at different levels frequently asked questions at the end of each chapter. The first edition of this popular book has been fully updated for IBM SPSS version 21 and also includes: chapters that explain bootstrapping and how this is used an introduction to binary logistic regression coverage of new features such as Chart Builder. Presented in full colour and with a fresh, reader-friendly layout, this fully updated new edition also comes with a companion website featuring an array of supplementary resources for students. The authors have many years of experience in teaching SPSS to students from a wide range of disciplines. Their understanding of SPSS users’ concerns, as well as a knowledge of the type of questions students ask, form the foundation of this book. Minimal prior knowledge is assumed, so the book is well designed for the novice user, but it will also be a useful reference source for those developing their own expertise in SPSS. It is suitable for all students who need to do statistical analysis using SPSS in various departments including Psychology, Social Science, Business Studies, Nursing, Education, Health and Sport Science, Communication and Media, Geography, and Biology.