The Second Edition of Bora Pajo's Introduction to Research Methods: A Hands-on Approach makes research easy to understand and do by balancing quantitative with qualitative methods in clear and compelling prose. Updates include a new chapter on big data, a revamped chapter on qualitative designs, and citations in APA Style 7th Edition. Also available as a digital option (courseware). Learn more about 9781071871256, Introduction to Research Methods: A Hands-on Approach - Vantage Digital Option, Second Edition.
Both comprehensive and clear, Research Methods for the Behavioral Sciences, Updated Third Edition author Gregory J. shows students, using a conversational tone, that statistics can be understandable, interesting, and relevant to their daily lives.
PsychoPy is an open-source software package for creating rich, dynamic experiments in psychology, neuroscience and linguistics. Written by its creator, this book walks you through the steps of building experiments in PsychoPy, from using images to discovering lesser-known features, and from analysing data to debugging your experiment. Divided into three parts and with unique extension exercises to guide you at whatever level you are at, this textbook is the perfect tool for teaching practical undergraduate classes on research methods, as well as acting as a comprehensive reference text for the professional scientist. Essential reading for anyone using PsychoPy software, the second edition has been fully updated and includes multiple new chapters about features included in recent versions of PsychoPy, including running studies online and collecting survey data. Part I teaches you all the basic skills you need (and some more advanced tips along the way) to design experiments in behavioral sciences. Each chapter introduces anew concept but will offer a series of working experiments that you can build on. Part II presents more details important for professional scientists intending to use PsychoPy for published research. This part is recommended reading for science professionals in any discipline. Part III covers a range of specialist topics, such as those doing fMRI research, or those studying visual perception. "This book fills an incredibly important gap in the field. Many users of PsychoPy will be excited to learn that there is now a highly accessible and well-designed written guide to refine their skills." - Susanne Quadflieg, University of Bristol
PsychoPy is an open-source software package for creating rich, dynamic experiments in psychology, neuroscience and linguistics. Written by its creator, this book walks you through the steps of building experiments in PsychoPy, from using images to discovering lesser-known features, and from analysing data to debugging your experiment. Divided into three parts and with unique extension exercises to guide you at whatever level you are at, this textbook is the perfect tool for teaching practical undergraduate classes on research methods, as well as acting as a comprehensive reference text for the professional scientist. Essential reading for anyone using PsychoPy software, the second edition has been fully updated and includes multiple new chapters about features included in recent versions of PsychoPy, including running studies online and collecting survey data. Part I teaches you all the basic skills you need (and some more advanced tips along the way) to design experiments in behavioral sciences. Each chapter introduces anew concept but will offer a series of working experiments that you can build on. Part II presents more details important for professional scientists intending to use PsychoPy for published research. This part is recommended reading for science professionals in any discipline. Part III covers a range of specialist topics, such as those doing fMRI research, or those studying visual perception. "This book fills an incredibly important gap in the field. Many users of PsychoPy will be excited to learn that there is now a highly accessible and well-designed written guide to refine their skills." - Susanne Quadflieg, University of Bristol
Technological advances have led to an abundance of widely-available data on every aspect of life today. Psychologists today have more information than ever before on human cognition, emotion, attitudes, and behaviour. This book addresses the opportunities and challenges that this data presents to psychological researchers.
The text opens with introductory discussions of why and how psychologists conduct and analyze research, walks students through the basics of using statistics, and concludes with the "nuts and bolts" of research methods and statistical analysis. Each chapter contains frequent Stop and Think questions and innovative Thinking About Research exercises to encourage students to consider how to apply these principles to their own research questions. Designed specifically for ease of use in combined statistics and research methods courses, this text is a one stop shop for undergraduate students in psychology.
Award-winning teacher, author and advisor Gregory J, Privitera fully integrates the research methods decision tree into the text to help students choose the most appropriate methodology for the research question they are seeking to answer. New to this edition: Additional and updated examples clarify distinguishing between basic and applied research, types of validity and reliability, and more Hypothesis methodology linked to current examples help students realize the value and real-world application of research design in the behavioral sciences Content reflective of SPSS v.25 incorporates new selection options required to analyse data An updated study guide helps students practice their skills with SPSS exercises Over 130 new references reflect the latest scholarship and perspectives
Alternate Guides for R, SAS, and Stata for Essential Statistics for the Behavioral Sciences
An alternate workbook to accompany Essential Statistics for the Behavioral Sciences, Second Edition, this text helps students to practice their skills and offers 'In Focus' sections for those using R, SAS or STATA as opposed to SPSS or Excel.
Learning and Memory provides students with a clear, balanced, and integrated presentation of major theoretical perspectives foundational to the study of human learning and memory. Author Darrell Rudmann uses an engaging personal writing style appropriate for students with little or no previous background in psychology to discuss topics including the major behaviorism theories of learning, modern cognitive theories of memory, social learning theories, the roles of emotion and motivation in learning, and the well-established neurological underpinnings of these perspectives. A concluding chapter on learning and memory concepts in the real world shows students to how these concepts are applied in various industries, from advertising to education and the media.
