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SPSS for Psychologists by Nicola Brace,Rosemary Snelgar,Richard Kemp Pdf
This text guides the novice user through the process of entering and analyzing data using SPSS for Windows. It assumes no prior knowledge of computing, research methods or statistics, and covers the statistical techniques used in psychology.
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 for Psychologists by Nicola Brace,Richard Kemp,Rosemary Snelgar Pdf
This text guides the novice user through the process of entering and analyzing data using SPSS for Windows. It assumes no prior knowledge of computing, research methods or statistics, and covers the statistical techniques used in psychology.
Psychology Statistics For Dummies by Donncha Hanna,Martin Dempster Pdf
The introduction to statistics that psychology students can't afford to be without Understanding statistics is a requirement for obtaining and making the most of a degree in psychology, a fact of life that often takes first year psychology students by surprise. Filled with jargon-free explanations and real-life examples, Psychology Statistics For Dummies makes the often-confusing world of statistics a lot less baffling, and provides you with the step-by-step instructions necessary for carrying out data analysis. Psychology Statistics For Dummies: Serves as an easily accessible supplement to doorstop-sized psychology textbooks Provides psychology students with psychology-specific statistics instruction Includes clear explanations and instruction on performing statistical analysis Teaches students how to analyze their data with SPSS, the most widely used statistical packages among students
"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
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.
Basic Statistics for Psychologists by Marc Brysbaert Pdf
Written by an experienced teacher of statistics, the new edition of this accessible yet authoritative textbook covers all areas of undergraduate statistics and provides a firm foundation upon which students can build their own knowledge. Featuring new chapters on Bayesian and multiple regression analysis, this book gives students a working understanding of how to conduct reliable and methodical research using statistics. Brysbaert illustrates the key concepts using examples from psychological research, with clear formulas and explanations for calculations. With helpful chapter-by-chapter guidance for carrying out tests using SPSS, as well as coverage of jamovi and JASP software, this book aims to develop students' confidence in statistical analysis, and to take the fear out of the topic. It offers an easily navigable layout filled with features that help learners to avoid common pitfalls and check their understanding along the way. This engaging and informative guide is essential reading for undergraduate psychology students taking courses in research methods and statistics. New to this Edition: - Chapters on Bayesian analysis, mixed-effects models, and multiple regression analysis - Coverage of jamovi and JASP, two free statistical packages
Data Science with R for Psychologists and Healthcare Professionals by Christian Ryan Pdf
This introduction to R for students of psychology and health sciences aims to fast-track the reader through some of the most difficult aspects of learning to do data analysis and statistics. It demonstrates the benefits for reproducibility and reliability of using a programming language over commercial software packages such as SPSS. The early chapters build at a gentle pace, to give the reader confidence in moving from a point-and-click software environment, to the more robust and reliable world of statistical coding. This is a thoroughly modern and up-to-date approach using RStudio and the tidyverse. A range of R packages relevant to psychological research are discussed in detail. A great deal of research in the health sciences concerns questionnaire data, which may require recoding, aggregation and transformation before quantitative techniques and statistical analysis can be applied. R offers many useful and transparent functions to process data and check psychometric properties. These are illustrated in detail, along with a wide range of tools R affords for data visualisation. Many introductory statistics books for the health sciences rely on toy examples - in contrast, this book benefits from utilising open datasets from published psychological studies, to both motivate and demonstrate the transition from data manipulation and analysis to published report. R Markdown is becoming the preferred method for communicating in the open science community. This book also covers the detail of how to integrate the use of R Markdown documents into the research workflow and how to use these in preparing manuscripts for publication, adhering to the latest APA style guidelines.
Research Methods and Statistics in Psychology by Hugh Coolican Pdf
This sixth edition of Research Methods and Statistics in Psychology has been fully revised and updated, providing students with the most readable and comprehensive survey of research methods, statistical concepts and procedures in psychology today. Assuming no prior knowledge, this bestselling text takes you through every stage of your research project giving advice on planning and conducting studies, analysing data and writing up reports. The book provides clear coverage of statistical procedures, and includes everything needed from nominal level tests to multi-factorial ANOVA designs, multiple regression and log linear analysis. It features detailed and illustrated SPSS instructions for all these procedures eliminating the need for an extra SPSS textbook. New features in the sixth edition include: "Tricky bits" - in-depth notes on the things that students typically have problems with, including common misunderstandings and likely mistakes. Improved coverage of qualitative methods and analysis, plus updates to Grounded Theory, Interpretive Phenomenological Analysis and Discourse Analysis. A full and recently published journal article using Thematic Analysis, illustrating how articles appear in print. Discussion of contemporary issues and debates, including recent coverage of journals’ reluctance to publish replication of studies. Fully updated online links, offering even more information and useful resources, especially for statistics. Each chapter contains a glossary, key terms and newly integrated exercises, ensuring that key concepts are understood. A companion website (www.routledge.com/cw/coolican) provides additional exercises, revision flash cards, links to further reading and data for use with SPSS.
A Conceptual Guide to Statistics Using SPSS by Elliot T. Berkman,Steven P. Reise Pdf
"This book helps students develop a conceptual understanding of a variety of statistical tests by linking the statistics with the computational steps and output from SPSS. Learning how statistical ideas map onto computation in SPSS will help students build a better understanding of both. For example, seeing exactly how the concept of variance is used in SPSS-how it is converted into a number based on real data, which other concepts it is associated with, and where it appears in various statistical tests-will not only help students understand how to use statistical tests in SPSS and how to interpret their output, but will also teach them about the concept of variance itself. Each chapter begins with a student-friendly explanation of the concept behind each statistical test and how the test relates to that concept. The authors then walk through the steps to compute the test in SPSS and the output, pointing out wherever possible how the SPSS procedure and output connects back to the conceptual underpinnings of the test. Each of the steps is accompanied by annotated screen shots from SPSS, and relevant components of output are highlighted in both the text and in the figures. Sections explain the conceptual machinery underlying the statistical tests. In contrast to merely presenting the equations for computing the statistic, these sections describe the idea behind each test in plain language and help students make the connection between the ideas and SPSS procedures. These include extensive treatment of custom hypothesis testing in ANOVA, MANOVA, ANCOVA, and regression, and an entire chapter on the advanced matrix algebra functions available only through syntax in SPSS. The book will be appropriate for both advanced undergraduate and graduate level coursesin statistics"--
Advanced Research Methods in Psychology by David Giles Pdf
How do you perform a MANOVA? What is grounded theory? How do you draw up a repertory grid? These, and many other questions are addressed in this wide-ranging handbook of methods and analytic techniques which uniquely covers both quantitative and qualitative methods. Based on a broad survey of undergraduate curricula, the book takes curious readers through all of the methods that are taught on psychology courses worldwide, from advanced ANOVA statistics through regression models to test construction, qualitative research and other more unusual techniques such as Q methodology, meta-analysis and log-linear analysis. Each technique is illustrated by recent examples from the literature. There are also chapters on ethics, significance testing, and writing for publication and research proposals. Advanced Research Methods in Psychology will provide an invaluable resource for advanced undergraduates, postgraduates and researchers who need a readable, contemporary and eclectic reference of advanced methods currently in use in psychological research.
SPSS for Psychologists by Virginia Harrison,Richard Kemp,Nicola Brace,Rosemary Snelgar Pdf
Students can find statistical analysis a challenging and complex task and, in order to master the techniques and complete their assignments and projects successfully, they need to have a sound understanding of IBM SPSS and its functions. Updated to be compatible with IBM SPSS 25, with handy screen-shots throughout, the seventh edition of this trusted and practical textbook will take students on a step-by-step journey towards carrying out a range of essential tasks with confidence: from performing an analysis to interpreting outputs and reporting the results. This book is an unbeatable, must-have guide to IBM SPSS that will allow undergraduate psychology students to master this powerful software tool. Accompanying online resources for this title can be found at bloomsburyonlineresources.com/spss-for-psychologists. These resources are designed to support teaching and learning when using this textbook and are available at no extra cost.
How to Use SPSS® is designed with the novice computer user in mind and for people who have no previous experience of using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report. The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such as descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction. More than 250 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS® the definitive, field-tested resource for learning SPSS. New to this edition: Fully updated to SPSS 24 and IBM SPSS Statistics Cloud New chapter on ANOVA New material on inter-rater reliability New material on syntax Additional coverage of data entry and management
SPSS for Psychologists by Nicola Brace,Richard Kemp,Rosemary Snelgar Pdf
The new edition of this bestselling guide to SPSS carefully leads the user through the process of using SPSS to analyze psychological data. The third edition retains the breadth of coverage, clear writing and flexibility that made earlier editions such popular companions for students at all levels. It covers SPSS versions 12 and 13, while being backward compatible, and draws attention to the main ways in which these differ from earlier versions. It is updated with new coverage of reliability measures, partial correlations, and using statistics for scale constructions. In response to user feedback, it also features an expanded index.