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Statistics in Psychology Using R and SPSS by Dieter Rasch,Klaus Kubinger,Takuya Yanagida Pdf
Statistics in Psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not determined in order to fulfil certain precision requirements. The book looks at the process of empirical research into the following seven stages: Formulation of the problem Stipulation of the precision requirements Selecting the statistical model for the planning and analysis The (optimal) design of the experiment or survey Performing the experiment or the survey Statistical analysis of the observed results Interpretation of the results.
"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com
Introduction to SPSS Statistics in Psychology by Dennis Howitt,Duncan Cramer Pdf
Introduction to SPSS Statistics in Psychology, 5th edition offers comprehensive and engaging coverage of how to carry out statistical analyses using SPSS Statistics. Fully updated to include an even wider range of statistical methods and to incorporate the latest version of SPSS Statistics, this text offers clear, step by step instruction and advice to students on using SPSS Statistics to analyse psychological data. For each statistical test, the text discusses What the test is used for When you should and shouldn't use it Data requirements and any problems in usage Step by step direction on how to carry out the test, using colour screenshots and labelled guidance on each part of the process How to interpret and report the output 'At a glance' summary of steps taken to do each test Suitable for students to use alongside lectures or independently when needing to grips with SPSS Statistics. This book is supported by a companion website featuring a range of resources to help students in their studies. Self-test questions, additional datasets plus handy quick guides to carrying out tests can all be found at www.pearsoned.co.uk/howitt "SPSS is the most widely used statistical analysis software suite in the social and behavioural sciences. It is used extensively in undergraduate psychology courses throughout the UK and USA. However psychology students find it notoriously difficult and often impossible to learn and use. Howitt and Cramers' SPSS Statistics in Psychology is an indispensible guide to the software, specially tailored for psychology students at all levels. The new edition is greatly enhanced by a several new features, including chapters on the analysis of moderator variables, statistical power, meta - analysis, and the use of SPSS syntax. It is superbly presented and illustrated with excellent step by step procedures and guides to the interpretation of results which even introductory level students will be able to follow. The supporting datasets and worked examples also provide an excellent resource for students and teachers. It has easily maintained its lead in a competitive field, and together with its companion textbooks, Introduction to Statistics (Fifth Edition) and Introduction to Research Methods (Third Edition), it has everything that apprentice and experienced researchers in psychology need." Professor Ronnie Wilson, University of Ulster
Introduction to SPSS in Psychology by Dennis Howitt,Duncan Cramer Pdf
Introduction to SPSS in Psychology Using SPSS effectively is about student confidence. With Introduction to SPSS in Psychology, students will quickly master statistical analysis with SPSS. Screenshots of all of the steps for each statistical technique give students that crucial confidence that they are on top of their analysis. Key features of the output are highlighted graphically and explained. Models of how to report the findings are provided for all techniques. Introduction to SPSS in Psychology is designed for use with SPSS12 and 13 but is just as effective with SPSS 10 and 11. It presents to students, beginners as well as more advanced students, an excellent, uncluttered, hands-on guide to the most common statistical package for psychologists. Introduction to SPSS in Psychology can be used alone or to complement the authors' Introduction to Research Methods in Psychology and Introduction to Statistics in Psychology also published by Prentice Hall. Key Features - A full range of statistics are covered, from the simplest to the advanced, all with equal clarity - Explains the practical application of statistics to data- Explains step-by-step how to enter, analyse, interpret and report data- Gives detail about what to report and how to report it - Web based supplementary material available Dennis Howitt and Duncan Cramer are both Readers in Psychology at Loughborough University
Statistics in Psychology Using R and SPSS by Dieter Rasch,Klaus Kubinger,Takuya Yanagida Pdf
Statistics in Psychology covers all statistical methods needed in education and research in psychology. This book looks at research questions when planning data sampling, that is to design the intended study and to calculate the sample sizes in advance. In other words, no analysis applies if the minimum size is not determined in order to fulfil certain precision requirements. The book looks at the process of empirical research into the following seven stages: Formulation of the problem Stipulation of the precision requirements Selecting the statistical model for the planning and analysis The (optimal) design of the experiment or survey Performing the experiment or the survey Statistical analysis of the observed results Interpretation of the results.
SPSS Explained by Perry R. Hinton,Isabella McMurray,Charlotte Brownlow Pdf
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.
SPSS for Psychologists by Nicola Brace,Richard Kemp,Rosemary Snelgar Pdf
This popular text guides the novice user through the process of entering and analyzing data using SPSS. The authors assume only basic knowledge of Windows, review the basic issues regarding design and statistics, and proceed gently through all the major statistical techniques used in psychology, from introductory up to advanced level. Students are introduced to the rationale and use of each test and provided with clearly annotated examples of SPSS output. In this way, they are shown how to choose, perform, and report the statistical analysis of their own data. This edition covers SPSS 10 and 11, and contains more advanced statistical material--ANCOVA, factor analysis, logistic regression, and discriminate analysis. This book is intended for undergraduate students in statistics/research methods courses and other undergraduate-level social science courses.
Moving from IBM® SPSS® to R and RStudio® by Howard T. Tokunaga Pdf
Are you a researcher or instructor who has been wanting to learn R and RStudio®, but you don′t know where to begin? Do you want to be able to perform all the same functions you use in IBM® SPSS® in R? Is your license to IBM® SPSS® expiring, or are you looking to provide your students guidance to a freely-available statistical software program? Moving from IBM® SPSS® to R and RStudio®: A Statistics Companion is a concise and easy-to-read guide for users who want to know learn how to perform statistical calculations in R. Brief chapters start with a step-by-step introduction to R and RStudio, offering basic installation information and a summary of the differences. Subsequent chapters walk through differences between SPSS and R, in terms of data files, concepts, and structure. Detailed examples provide walk-throughs for different types of data conversions and transformations and their equivalent in R. Helpful and comprehensive appendices provide tables of each statistical transformation in R with its equivalent in SPSS and show what, if any, differences in assumptions factor to into each function. Statistical tests from t-tests to ANOVA through three-factor ANOVA and multiple regression and chi-square are covered in detail, showing each step in the process for both programs. By focusing just on R and eschewing detailed conversations about statistics, this brief guide gives adept SPSS® users just the information they need to transition their data analyses from SPSS to R.
Statistics for Research in Psychology by Rick Gurnsey Pdf
Statistics for Research in Psychology offers an intuitive approach to statistics based on estimation for interpreting research in psychology. This innovative text covers topic areas in a traditional sequence but gently shifts the focus to an alternative approach using estimation, emphasizing confidence intervals, effect sizes, and practical significance, with the advantages naturally emerging in the process. Frequent opportunities for practice and step-by-step instructions for using Excel, SPSS, and R in appendices will help readers come away with a better understanding of statistics that will allow them to more effectively evaluate published research and undertake meaningful research of their own.
Applied Statistics Using SPSS, STATISTICA and MATLAB by Joaquim P. Marques de Sá Pdf
Assuming no previous statistics education, this practical reference provides a comprehensive introduction and tutorial on the main statistical analysis topics, demonstrating their solution with the most common software package. Intended for anyone needing to apply statistical analysis to a large variety of science and enigineering problems, the book explains and shows how to use SPSS, MATLAB, STATISTICA and R for analysis such as data description, statistical inference, classification and regression, factor analysis, survival data and directional statistics. It concisely explains key concepts and methods, illustrated by practical examples using real data, and includes a CD-ROM with software tools and data sets used in the examples and exercises. Readers learn which software tools to apply and also gain insights into the comparative capabilities of the primary software packages.
Understanding Statistics in Psychology with SPSS eBook PDF by Dennis Howitt,Duncan Cramer Pdf
Understanding Statistics in Psychology with SPSS 7th edition, offers students a trusted, straightforward, and engaging way of learning how to carry out statistical analyses and use SPSS with confidence. Comprehensive and practical, the text is organised by short, accessible chapters, making it the ideal text for undergraduate psychology students needing to get to grips with Statistics in class or independently. Clear diagrams and full colour screenshots from SPSS make the text suitable for beginners while the broad coverage of topics ensures that students can continue to use it as they progress to more advanced techniques. Key features · Now combines coverage of statistics with full guidance on how to use SPSS to analyse data · Suitable for use with all versions of SPSS · Examples from a wide range of real psychological studies illustrate how statistical techniques are used in practice · Includes clear and detailed guidance on choosing tests, interpreting findings and reporting and writing up research · Student focused pedagogical approach including o Key concept boxes detailing important terms o Focus on sections exploring complex topics in greater depth o ‘Explaining statistics sections clarify important statistical concepts’.
Statistics for Psychology Using R by Vivek M. Belhekar Pdf
A unique textbook introducing and demonstrating the use of R in psychology. Statistics for Psychology Using R comprehensively covers standard statistical methods along with advanced topics such as multivariate techniques, factor analysis, and multiple regression widely used in the field of psychology and other social sciences. Its innovative structure and pedagogical approach coupled with numerous worked-out examples and self-assessment tests make it a user-friendly and easy-to-understand companion for students and scholars with limited background in statistics. The standout feature of this textbook is that it demonstrates the application of R—a free, flexible, and dynamically changing software for statistical computing and data analysis, which is becoming increasingly popular across social and behavioral sciences.
IBM SPSS Statistics 19 Made Simple by Colin D. Gray,Paul R. Kinnear Pdf
This new edition of one of the most widely read textbooks in its field introduces the reader to data analysis with the most powerful and versatile statistical package on the market: IBM SPSS Statistics 19. Each new release of SPSS Statistics features new options and other improvements. There remains a core of fundamental operating principles and techniques which have continued to apply to all releases issued in recent years and have been proved to be worth communicating in a small volume. This practical and informal book combines simplicity and clarity of presentation with a comprehensive treatment of the use of IBM SPSS Statistics 19 for the description, exploration and confirmation of data. As in earlier editions, coverage has been extended to address the issues raised by readers since the previous edition. In this edition, there is an introduction to the Analysis of Covariance (ANCOVA). Each statistical technique is presented in a realistic research context and is fully illustrated with annotated screen shots of SPSS dialog boxes and output. The first chapter sets the scene with a survey of typical research situations, key terms and clear signposts to the location of each technique in the book. It also offers guidance on the choice of statistical techniques, and advice (based on the American Psychological Association’s guidelines) on how to report the results of a statistical analysis. The next chapters introduce the reader to the use of SPSS, beginning with the entry, description and exploration of data. There is also a full description of the capabilities of the versatile Chart Builder. Each of the remaining chapters concentrates on one particular kind of research situation and the statistical techniques that are appropriate. In summary, IBM SPSS Statistics 19 Made Simple Gets you started with SPSS. Shows you how to describe and explore a data set with the help of SPSS’s extensive graphics and data-handling menus. Helps you to choose appropriate statistical techniques. Warns you of pitfalls arising from the misuse of statistics. Shows you how to report the results of a statistical analysis. Shows you how to use Syntax to implement some useful procedures and operations. Introduces the reader to the analysis of covariance (ANCOVA) Has a comprehensive glossary. Is now presented in an attractive two-colour format. The book’s accompanying website contains datasets for the chapters of the book, as well as a large body of exercises (with data sets), and notes on statistical terms. Instructor resources include a PowerPoint lecture course and Multiple-Choice Question tests, which are also available free of charge to lecturers adopting the book and their students. Please visit http://www.psypress.com/spss-made-simple for more details.
