This revision guide book covers the major areas of Statistical Analysis covered in Undergraduate Psychology. The focus is on the practical application of statistics to assignments and assessments that you may encounter. To ensure that you are able to apply statistics, particular attention is given to the key concepts you need to understand in order to be able to use statistics correctly; the process you need to follow in order to choose the correct statistic; and what you need to do to present and interpret your statistics correctly. The coverage of the individual tests focus on pragmatic issues, such as when the test is appropriate, how to format data correctly and what to do when you don't get the data you expect. You are directed to further readings for the mathematical underpinnings of the statistical tests. Examples and case studies are used throughout, so you can see the application of statistics to problems that are similar to those you are likely to encounter. Features focused on critical thinking, practical applications and key research will offer additional pointers for you in your revision process/exam preparation. A companion website provides supporting resources for self testing, exam practice, answers to questions in the book, and links to further resources.

This revision guide provides concise coverage of the central topics within Personality, Individual Difference and Intelligence Psychology, presented within a framework designed to help you focus on assessment and exams. The guide is organised to cater for QAA and BPS recommendations for course content. Sample questions, assessment advice and exam tips drive the organisation within chapters so you are able to grasp and marshal your thoughts towards revision of the main topics. Features focused on critical thinking, practical applications and key research will offer additional pointers for you in your revision process and exam preparation. A companion website provides supporting resources for self testing, exam practice, answers to questions in the book, and links to further resources.

Psychological Statistics: The Basics walks the reader through the core logic of statistical inference and provides a solid grounding in the techniques necessary to understand modern statistical methods in the psychological and behavioral sciences. This book is designed to be a readable account of the role of statistics in the psychological sciences. Rather than providing a comprehensive reference for statistical methods, Psychological Statistics: The Basics gives the reader an introduction to the core procedures of estimation and model comparison, both of which form the cornerstone of statistical inference in psychology and related fields. Instead of relying on statistical recipes, the book gives the reader the big picture and provides a seamless transition to more advanced methods, including Bayesian model comparison. Psychological Statistics: The Basics not only serves as an excellent primer for beginners but it is also the perfect refresher for graduate students, early career psychologists, or anyone else interested in seeing the big picture of statistical inference. Concise and conversational, its highly readable tone will engage any reader who wants to learn the basics of psychological statistics.

This revision guide provides concise coverage of the central topics within Research Methods in Psychology, presented within a framework designed to help you focus on assessment and exams. The text encapsulates all the subject matter listed in the BPS Qualifying Examination syllabus for the area. The structure of the book represents a logical, linear progress through your typical learning in relation to Research Methods in Psychology. The two authors bring their clear, accessible style to bear on this, making the normally ‘dry’ subject matter seem more lively and engaging. The chapter on writing reports is deliberately left to the end since this is the natural culmination of your research process. Sample questions, assessment advice and exam tips drive the organisation within chapters so you are able to grasp and marshal your thoughts towards revision of the main topics. Features focused on critical thinking, practical applications and key research will offer additional pointers for you in your revision process and exam preparation. A companion website provides supporting resources for self testing, exam practice, answers to questions in the book, and links to further resources.

This book shows how research design and data analysis are attainable and useful skills. It introduces both experimental and non-experimental methods of research and the analysis of data using both descriptive and inferential statistics.

This revision guide book covers the major areas of Statistical Analysis covered in Undergraduate Psychology. The focus is on the practical application of statistics to assignments and assessments that you may encounter. To ensure that you are able to apply statistics, particular attention is given to the key concepts you need to understand in order to be able to use statistics correctly; the process you need to follow in order to choose the correct statistic; and what you need to do to present and interpret your statistics correctly. The coverage of the individual tests focus on pragmatic issues, such as when the test is appropriate, how to format data correctly and what to do when you don't get the data you expect. You are directed to further readings for the mathematical underpinnings of the statistical tests. Examples and case studies are used throughout, so you can see the application of statistics to problems that are similar to those you are likely to encounter. Features focused on critical thinking, practical applications and key research will offer additional pointers for you in your revision process/exam preparation. A companion website provides supporting resources for self testing, exam practice, answers to questions in the book, and links to further resources.

This book presents an historical overview of the field--from its development to the present--at an accessible mathematical level. This edition features two new chapters--one on factor analysis and the other on the rise of ANOVA usage in psychological research. Written for psychology, as well as other social science students, this book introduces the major personalities and their roles in the development of the field. It provides insight into the disciplines of statistics and experimental design through the examination of the character of its founders and the nature of their views, which were sometimes personal and ideological, rather than objective and scientific. It motivates further study by illustrating the human component of this field, adding dimension to an area that is typically very technical. Intended for advanced undergraduate and/or graduate students in psychology and other social sciences, this book will also be of interest to instructors and/or researchers interested in the origins of this omnipresent discipline.

STATISTICAL METHODS FOR PSYCHOLOGY, 8E, International Edition surveys the statistical techniques commonly used in the behavioral and social sciences, particularly psychology and education. To help students gain a better understanding of the specific statistical hypothesis tests that are covered throughout the text, author David Howell emphasizes conceptual understanding. This Eighth Edition continues to focus students on two key themes that are the cornerstones of this book's success: the importance of looking at the data before beginning a hypothesis test, and the importance of knowing the relationship between the statistical test in use and the theoretical questions being asked by the experiment. New and expanded topics—reflecting the evolving realm of statistical methods—include effect size, meta-analysis, and treatment of missing data.

"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

Single-Case Methods in Clinical Psychology: A Practical Guide provides a concise and easily-accessible introduction to single-case research. This is a timely response to the increasing awareness of the need to look beyond randomised controlled trials for evidence to support best practice in applied psychology. The book covers the issues of design, the reliability and validity of measurement, and provides guidance on how to analyse single-case data using both visual and statistical methods. Single-case designs can be used to investigate an individual’s response to psychological intervention, as well as to contribute to larger scale research projects. This book illuminates the common principles behind these uses. It describes how standardised measures can be used to evaluate change in an individual and how to develop idiographic measures that are tailored to the needs of an individual. The issue of replication and generalising beyond an individual are examined, and the book also includes a section on the meta-analysis of single-case data. The critical evaluation of single-case research is examined, from both the perspective of developing quality standards to evaluate research and maintaining a critical distance in reviewing one’s own work. Single Case Methods in Clinical Psychology will provide invaluable guidance to postgraduate psychologists training to enter the professions of clinical, health and counselling psychology and is likely to become a core text on many courses. It will also appeal to clinicians seeking to answer questions about the effectiveness of therapy in individual cases and who wish to use the method to further the evidence-base for specific psychological interventions.