Introduction to Statistics in Psychology


Author: Dennis Howitt,Duncan Cramer
Publisher: Pearson Higher Ed
ISBN: 1292000767
Category: Psychology
Page: 744
View: 6638
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Introduction to Statistics in Psychology is a comprehensive, modern guide to understanding and using statistics in psychological research. This edition has been significantly revised to incorporate the essential SPSS steps you need for carrying out statistical analysis.

Introduction to Statistics and SPSS in Psychology


Author: Andrew Mayers
Publisher: Pearson
ISBN: 9780273731016
Category: Psychology
Page: 611
View: 2350
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Introduction to Statistics and SPSS in Psychology guides the reader carefully and concisely up the statistics staircase to success. Each step is supported by helpful visuals as well as advice on how to overcome problems. Interactive, lively, but never patronising, this is the complete guide to statistics that will take readers through their degree course from beginning to end. Take a step in the right direction and tackle statistics head on with this visual introduction.

Introduction to Research Methods and Statistics in Psychology

A practical guide for the undergraduate researcher
Author: Ron McQueen,Christina Knussen
Publisher: Pearson Higher Ed
ISBN: 0273735101
Category: Psychology
Page: 576
View: 7339
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This second edition has been substantially revised and expanded to form a truly comprehensive, practical guide to research methods and statistical analysis. The text retains the successful student-centred approach, assuming no background knowledge. Logically and intuitively organised, the book introduces key terms and concepts, progressing through the process of selecting a study and analysing results right through to the final point of preparing a report. This edition has been extensively revised to offer more detailed coverage - including more depth on topics such as power, meta-analysis, ethics, the literature review, questionnaire design, small sample research, and graphing techniques. Coverage of qualitative methods has been expanded to include more on software tools and IPA. The book offers a range of support focused on essential concepts, practicalities, and a new feature to highlight important research from the scientific literature. The examples have been increased and updated to help clarify concepts and further support the reader in developing both a conceptual and practical understanding of research and analysis. The book relates to the most recent version of PASW statistics (previously SPSS).

Psychology Statistics For Dummies


Author: Donncha Hanna,Martin Dempster
Publisher: John Wiley & Sons
ISBN: 1119953944
Category: Psychology
Page: 464
View: 6587
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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

Introduction to SPSS in Psychology


Author: Dennis Howitt,Duncan Cramer
Publisher: Pearson Higher Ed
ISBN: 1292186690
Category: Psychology
Page: 464
View: 2256
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Introduction to SPSS in Psychology, 7th edition is the essential step by step guide to SPSS for students taking their first course in statistics. This well-established text provides a clear and comprehensive coverage of how to carry out statistical analyses using SPSS. Full colour SPSS screenshots, clear explanation and a wide ranging coverage make it the perfect companion for students who want to be able to analyse data with confidence.

Introduction to SPSS Statistics in Psychology

For Version 19 and Earlier
Author: Dennis Howitt,Duncan Cramer
Publisher: Pearson
ISBN: 9780273734260
Category: Psychology
Page: 512
View: 1240
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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. Suitable for students to use alongside lectures or independently when needing to get to grips with SPSS Statistics. "An indispensable guide to SPSS, especially tailored for psychology students at all levels. The new edition is greatly enhanced by 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" Professor Ronnie Wilson, University of Ulster

An Introduction to Statistics and Research Methods

Becoming a Psychological Detective
Author: Stephen F. Davis,Randolph A. Smith
Publisher: Prentice Hall
ISBN: 9780131505117
Category: Psychology
Page: 610
View: 7257
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Using student research projects and drawing parallels with detective work, "An Introduction to Research Methods and Statistics" engages the reader and encourages active involvement. The authors use a lively, conversational tone that makes the material accessible and inviting. This text also provides special pedagogical features to facilitate learning.

Introductory Statistics for Psychology

The Logic and the Methods
Author: Gustav Levine
Publisher: Academic Press
ISBN: 148325786X
Category: Mathematics
Page: 512
View: 7807
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Introductory Statistics for Psychology: The Logic and the Methods presents the concepts of experimental design that are carefully interwoven with the statistical material. This book emphasizes the verbalization of conclusions to experiments, which is another means of communicating the reasons for statistical analyses. Organized into 17 chapters, this book begins with an overview of alternative ways of stating the conclusions from a significant interaction. This text then presents the analysis of variance and introduces the summation sign and its use. Other chapters consider frequency distribution as any presentation of data that offers the frequency with which each score occurs. This book discusses as well the differences in and among people, which are a constant source of variability in test scores, and in most other measurements of people. The final chapter deals with the working knowledge of arithmetic and elementary algebra. This book is a valuable resource for students and psychologists.

Introduction to Research Methods in Psychology


Author: Dennis Howitt,Duncan Cramer
Publisher: Pearson Education
ISBN: 9780132051637
Category: Psychology
Page: 439
View: 3439
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Introduction to Research Methods in Psychology, secondedition,provides clear, comprehensive and innovative coverage of quantitative and qualitative research methods for psychology students throughout their studies. In this essential text for psychology students, the research process is broken down into manageable steps to equip students with the skills to ask intelligent research questions, carry out a literature review, choose an appropriate research design, carry out data collection and write up their findings. Throughout the book research examples are discussed which offer an insight into how research advances our understanding in areas such as forensic, social, educational, and abnormal psychology.

Understanding and Using Statistics in Psychology

A Practical Introduction
Author: Jeremy Miles,Philip Banyard
Publisher: SAGE
ISBN: 9780761943976
Category: Psychology
Page: 356
View: 5557
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Understanding and Using Statistics in Psychology takes the fear out of psychological statistics to help students understand why statistics are carried out, how to choose the best test, how to carry out the tests, and then perform the analysis in SPSS. Emphasizing the place of statistical analysis in the process of conducting research, from design to report writing, this accessible and straightforward guide takes a non-technical approach, encouraging the reader to understand why a particular test is being used and what the results mean in the context of a psychological study. The focus is on meaning and understanding rather than numerical calculation.

Research Methods and Statistics in Psychology


Author: S Alexander Haslam,Craig McGarty
Publisher: SAGE
ISBN: 1526453797
Category: Psychology
Page: 584
View: 7173
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The third edition of Haslam and McGarty's best-selling textbook, Research Methods and Statistics in Psychology, provides students with a highly readable and comprehensive introduction to conducting research in psychology. The book guides readers through the range of choices involved in design, analysis, and presentation and is supplemented by a range of practical learning features both inside the book and online. These draw on the authors' extensive experience as frontline researchers and provide step-by-step guides to quantitative and qualitative methods and analyses. Written in an accessible and engaging style, this text encourages deep engagement with its subject matter and is designed to inspire students to feel passionate for the research process as a whole. This third edition offers: Updated ‘Research Bites’ in every chapter: a space to step back from the text and reflect on the ways in which it relates both to issues in the world at large and to contemporary debates in psychology Updated coverage of experimental design, survey research and ethics More expansive coverage of qualitative methods A comprehensive guide to the process of conducting psychological research from the ground up — covering multiple methodologies, experimental and survey design, data analysis, ethics, and report writing An extensive range of quantitative methods together with detailed step-by-step guides to running analyses using SPS Online resources and videos to help reinforce learning and revision for instructors and students available at study.sagepub.com/haslamandmcgarty3e

Introduction to Statistics

Fundamental Concepts and Procedures of Data Analysis
Author: Howard M. Reid
Publisher: SAGE Publications
ISBN: 1483324281
Category: Social Science
Page: 632
View: 5748
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Using a truly accessible and reader-friendly approach, Introduction to Statistics: Fundamental Concepts and Procedures of Data Analysis, by Howard M. Reid, redefines the way statistics can be taught and learned. Unlike other books that merely focus on procedures, Reid’s approach balances development of critical thinking skills with application of those skills to contemporary statistical analysis. He goes beyond simply presenting techniques by focusing on the key concepts readers need to master in order to ensure their long-term success. Indeed, this exciting new book offers the perfect foundation upon which readers can build as their studies and careers progress to more advanced forms of statistics. Keeping computational challenges to a minimum, Reid shows readers not only how to conduct a variety of commonly used statistical procedures, but also when each procedure should be utilized and how they are related. Following a review of descriptive statistics, he begins his discussion of inferential statistics with a two-chapter examination of the Chi Square test to introduce students to hypothesis testing, the importance of determining effect size, and the need for post hoc tests. When more complex procedures related to interval/ratio data are covered, students already have a solid understanding of the foundational concepts involved. Exploring challenging topics in an engaging and easy-to-follow manner, Reid builds concepts logically and supports learning through robust pedagogical tools, the use of SPSS, numerous examples, historical quotations, insightful questions, and helpful progress checks.

Basic Statistics for Psychologists


Author: Marc Brysbaert
Publisher: Macmillan International Higher Education
ISBN: 0230345921
Category: Psychology
Page: 432
View: 6264
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Looking for a book on stats that you can really understand? Worried about the maths? Basic Statistics for Psychologists takes a fresh and readable approach to statistics, combining: - Clear explanations of the key statistical concepts and tests used in psychology research - A thorough yet easy-to-follow presentation of the mathematics that gives you the tools you need for data analysis and research design - Chapter-by-chapter guidance for carrying out tests using SPSS - An easily navigable layout filled with learning features that help you check your understanding and avoid common pitfalls Using examples from psycholoigcal research to illustrate the essential concepts, this succinct and manageable book takes the fear out of maths and SPSS, and provides a firm foundation from which to build your knowledge of statistics. In addition, the companion website for Basic Statistics for Psychologists includes multiple choice questions, a guide to carrying out the statistical tests in the book using Microsoft Excel, and a wealth of extra resources for psychology students, including links for further reading online. Marc Brysbaert is currently Research Professor of Psychology at Ghent University, Belgium, and was until recently Professor of Psychology at Royal Holloway, University of London, UK, where he taught both statistics and research methods and developed this textbook. Visit the companion website www.palgrave.com/psychology/brysbaert to find a wealth of extra resources for students and instructors, including lecturer notes and slides, Microsoft Excel datasets and links for further reading online

Experimental Design and Statistics


Author: Steve Miller
Publisher: Routledge
ISBN: 1134954638
Category: Psychology
Page: 186
View: 4328
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The distinguishing feature of experimental psychology is not so much the nature of its theories as the methods used to test their validity. The first edition of Experimental Design and Statistics provided a clear and lucid introduction to these methods and the statistical techniques which support them. For this new edition the text has been revised, the coverage of two-sample tests has been extended, and new sections have been added introducing one-sample tests, linear regression and the product-moment correlation coefficient. Problems associated with the applications of experimental design and how to use observations of behaviour in research are key questions for all introductory students of psychology. This new and expanded edition provides them with an invaluable text and source.

Introduction to the New Statistics

Estimation, Open Science, and Beyond
Author: Geoff Cumming,Robert Calin-Jageman
Publisher: Routledge
ISBN: 1317483375
Category: Psychology
Page: 594
View: 6657
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This is the first introductory statistics text to use an estimation approach from the start to help readers understand effect sizes, confidence intervals (CIs), and meta-analysis (‘the new statistics’). It is also the first text to explain the new and exciting Open Science practices, which encourage replication and enhance the trustworthiness of research. In addition, the book explains NHST fully so students can understand published research. Numerous real research examples are used throughout. The book uses today’s most effective learning strategies and promotes critical thinking, comprehension, and retention, to deepen users’ understanding of statistics and modern research methods. The free ESCI (Exploratory Software for Confidence Intervals) software makes concepts visually vivid, and provides calculation and graphing facilities. The book can be used with or without ESCI. Other highlights include: - Coverage of both estimation and NHST approaches, and how to easily translate between the two. - Some exercises use ESCI to analyze data and create graphs including CIs, for best understanding of estimation methods. -Videos of the authors describing key concepts and demonstrating use of ESCI provide an engaging learning tool for traditional or flipped classrooms. -In-chapter exercises and quizzes with related commentary allow students to learn by doing, and to monitor their progress. -End-of-chapter exercises and commentary, many using real data, give practice for using the new statistics to analyze data, as well as for applying research judgment in realistic contexts. -Don’t fool yourself tips help students avoid common errors. -Red Flags highlight the meaning of "significance" and what p values actually mean. -Chapter outlines, defined key terms, sidebars of key points, and summarized take-home messages provide a study tool at exam time. -http://www.routledge.com/cw/cumming offers for students: ESCI downloads; data sets; key term flashcards; tips for using SPSS for analyzing data; and videos. For instructors it offers: tips for teaching the new statistics and Open Science; additional homework exercises; assessment items; answer keys for homework and assessment items; and downloadable text images; and PowerPoint lecture slides. Intended for introduction to statistics, data analysis, or quantitative methods courses in psychology, education, and other social and health sciences, researchers interested in understanding the new statistics will also appreciate this book. No familiarity with introductory statistics is assumed.

Understanding Psychology as a Science

An Introduction to Scientific and Statistical Inference
Author: Zoltan Dienes
Publisher: Macmillan International Higher Education
ISBN: 1137096055
Category: Psychology
Page: 184
View: 2260
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What makes psychology a science? What is the logic underlying psychological research? In this groundbreaking book Zoltán Dienes introduces students to key issues in the philosophy of science and statistics that have a direct and vital bearing on the practice of research in psychology. The book is organised around the influential thinkers and conceptual debates which pervade psychological research and teaching but until now have not been made accessible to students. In a clear and fluid style, Dienes takes the reader on a compelling tour of the ideas of: - Popper - Kuhn& Lakatos - Neyman& Pearson - Bayes - Fisher& Royall Featuring examples drawn from extensive teaching experience to ground the ideas firmly in psychological science, the book is an ideal companion to courses and modules in psychological research methods and also to those covering conceptual and historical issues.

Introduction to Research Methods and Statistics in Psychology


Author: Hugh Coolican
Publisher: Hodder Education Publishers
ISBN: 9780340679371
Category: Psychology
Page: 290
View: 4326
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This is the ideal text for students who have never studied psychology before, particularly from a statistical angle. It will also benefit those who don't feel confident enough to tackle the more advanced text, Research Methods and Statistics in Psychology, Third Edition.It also contains suggested reading, exercises, and structured questions with answers provided. As such, it builds a strong foundation on which more sophisticated data handling skills can be developed. Teachers and lecturers will find it suitable for using with the new AS courses.

Statistics for Research in Psychology

A Modern Approach Using Estimation
Author: Frederick (Rick) Norman Gurnsey,Rick Gurnsey
Publisher: SAGE Publications
ISBN: 1506305172
Category: Psychology
Page: 720
View: 8483
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Statistics for Research in Psychology by Rick Gurnsey 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.

Learning Statistics with R


Author: Daniel Navarro
Publisher: Lulu.com
ISBN: 1326189727
Category:
Page: N.A
View: 3272
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An Elementary Introduction to Statistical Learning Theory


Author: Sanjeev Kulkarni,Gilbert Harman
Publisher: John Wiley & Sons
ISBN: 9781118023464
Category: Mathematics
Page: 288
View: 3588
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A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and uniquely utilize its foundations as a framework for philosophical thinking about inductive inference. Promoting the fundamental goal of statistical learning, knowing what is achievable and what is not, this book demonstrates the value of a systematic methodology when used along with the needed techniques for evaluating the performance of a learning system. First, an introduction to machine learning is presented that includes brief discussions of applications such as image recognition, speech recognition, medical diagnostics, and statistical arbitrage. To enhance accessibility, two chapters on relevant aspects of probability theory are provided. Subsequent chapters feature coverage of topics such as the pattern recognition problem, optimal Bayes decision rule, the nearest neighbor rule, kernel rules, neural networks, support vector machines, and boosting. Appendices throughout the book explore the relationship between the discussed material and related topics from mathematics, philosophy, psychology, and statistics, drawing insightful connections between problems in these areas and statistical learning theory. All chapters conclude with a summary section, a set of practice questions, and a reference sections that supplies historical notes and additional resources for further study. An Elementary Introduction to Statistical Learning Theory is an excellent book for courses on statistical learning theory, pattern recognition, and machine learning at the upper-undergraduate and graduate levels. It also serves as an introductory reference for researchers and practitioners in the fields of engineering, computer science, philosophy, and cognitive science that would like to further their knowledge of the topic.