This book is a duology consisting of Child and Adolescent Development (2nd ed.) and Adult Development and Ageing (2nd ed).

Owing to the topics covered, there is some overlapping, but this is relatively minimal.

Introduction to Qualitative Research Methods in Psychology by Dennis Howitt provides a comprehensive, practical and up to date coverage of the area. For the fourth edition, the text has been extensively revised for easier reading and comprehension. With a clear and straightforward style, the book introduces qualitative research from data collection to analysis. Examples of real research and practical guidance for each methodological approach are included throughout to equip the reader with an understanding of the process and the skills to be able to carry out their own research. There are also dedicated sections on ethics, quality and report writing. All of this is achieved while providing a thorough theoretical and historical context for the qualitative methods.

For introductory psychology courses at two year or four year institutions. Also for specialty classes throughout the discipline that focus on critical thinking, science vs. pseudoscience, and discrimating valid research in the field. Keith Stanovich's widely used and highly acclaimed book helps students become more discriminating consumers of psychological information, helping them recognize pseudoscience and be able to distinguish it from true psychological research. Stanovich helps instructors teach critical thinking skills within the rich context of psychology. It is the leading text of its kind. How to Think Straight About Psychology says about the discipline of psychology what many instructors would like to say but haven't found a way to. That is one reason adopters have called it "an instructor's dream text" and often comment "I wish I had written it. It tells my students just what I want them to hear about psychology".

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).

Rigorous, yet readable. The author presents the material with sufficient elaboration, explanation, and examples that not only interest the student, but make it understandable. Introduction to Behavioral Research Methods incorporates the four basic approaches to behavioral research (descriptive research, correlational research, experimental research, and quasi-experimental research), and shows students how to conceptualize questions, measure variables, design studies, and analyze data. Chapters on research ethics and scientific writing (including the most recent version of APA style) round out the book. Throughout each chapter, boxes on "Developing Your Research Skills" and "Behavioral Research Case Study" provide practical examples and pique student interest. Teaching & Learning Experience * Personalize Learning - MySearchLab delivers proven results in helping students succeed, provides engaging experiences that personalize learning, and comes from a trusted partner with educational expertise and a deep commitment to helping students and instructors achieve their goals. *Improve Critical Thinking - New up-to-date Behavioral Research Case Studies help students apply research to practice. *Engage Students - The text is designed to make research methods understandable, useful, and interesting for students. *Explore Research - Real research, tidbits about the lives of famous researchers, and intriguing controversies that have arisen in behavioral science are included. A lab manual in MySearchLab helps engage students in the research process. *Support Instructors - MyTest, PowerPoints, and an instructor's manual offer additional support for instructors.

Assessment is an important part of any psychologist's role and the outcome can have consequences, positive and negative, for the person being assessed. The principles and practice of psychological assessment is a guide to drawing up, administering and interpreting assessment procedures, and judging whether the techniques used are theoretically and procedurally sound. It also takes a special look at assessment from an organisational perspective, because although many of the technical and scientific issues with respect to psychological assessment are common to all areas of applied psychology, there are numerous issues and applications that are unique to the organisational context. The principles and practice of psychological assessment is more of a "how to" than a critical text, but includes some background information and in-depth theorising for more problematic issues. A glossary of terms and a unique cognitive map of psychological tests are provided. Changes in this second edition include two new chapters, one on Assessing integrity (which previously formed part of the chapter on personality) and a new chapter on Assessment in cross-cultural contexts, where the theoretical and practical problems associated with assessing people in their non-native language are described and ways of addressing these are put forward. Throughout the text, references and examples have been updated and issues raised in recent texts have been addressed. Contents include the following: Properties of a good measuring technique; ways of categorising the observation process; techniques used in measurement; errors inherent in the assessment process; combining and interpreting results; fairness, bias and discrimination; assessing cross-culturally; designing and locating appropriate assessment centre exercises; assessing integrity. The principles and practice of psychological assessment is aimed at undergraduate and honours students of psychology and industrial psychology, as well as at practitioners.

Developed specifically for students in the behavioral and brain sciences, this is the only textbook that provides an accessible and practical overview of the range of human neuroimaging techniques. Methods covered include functional and structural magnetic resonance imaging, positron emission tomography, electroencephalography, magnetoencephalography, multimodal imaging, and various brain stimulation methods. Experimental design, image processing, and statistical inference are also addressed, with chapters for both basic and more advanced data analyses. Key concepts are illustrated through research studies on the relationship between brain and behavior, and practice questions are included throughout to test knowledge and aid self-study. Offering just the right amount of detail for understanding how major imaging techniques can be applied to answer neuroscientific questions, and the practical skills needed for future research, this is an essential text for advanced undergraduate and graduate students in psychology, neuroscience, and cognitive science programs taking introductory courses on human neuroimaging.

Lauded for its easy-to-understand, conversational discussion of the fundamentals of mediation, moderation, and conditional process analysis, this book has been fully revised with 50% new content, including sections on working with multicategorical antecedent variables, the use of PROCESS version 3 for SPSS and SAS for model estimation, and annotated PROCESS v3 outputs. Using the principles of ordinary least squares regression, Andrew F. Hayes carefully explains procedures for testing hypotheses about the conditions under and the mechanisms by which causal effects operate, as well as the moderation of such mechanisms. Hayes shows how to estimate and interpret direct, indirect, and conditional effects; probe and visualize interactions; test questions about moderated mediation; and report different types of analyses. Data for all the examples are available on the companion website (www.afhayes.com), along with links to download PROCESS. New to This Edition *Chapters on using each type of analysis with multicategorical antecedent variables. *Example analyses using PROCESS v3, with annotated outputs throughout the book. *More tips and advice, including new or revised discussions of formally testing moderation of a mechanism using the index of moderated mediation; effect size in mediation analysis; comparing conditional effects in models with more than one moderator; using R code for visualizing interactions; distinguishing between testing interaction and probing it; and more. *Rewritten Appendix A, which provides the only documentation of PROCESS v3, including 13 new preprogrammed models that combine moderation with serial mediation or parallel and serial mediation. *Appendix B, describing how to create customized models in PROCESS v3 or edit preprogrammed models.

Different research methods can yield unique insights into literacy learning and teaching--and, used synergistically, can work together to move the field forward. Now revised and updated with 50% new material, this definitive text presents widely used methods and provides students and researchers with a clear understanding of when, how, and why they are applied. Leading authorities describe established and emerging methodologies, review the types of questions they are suited to address, and identify standards for quality. Key issues in research design are accessibly discussed. Each chapter offers one or more exemplars of high-quality published studies to illustrate the approach in action. The benefits of using multiple types of methods to more fully investigate a given question or problem are emphasized throughout. New to This Edition *Chapter on a vital new topic: critical race methodologies. *New chapters on core topics: design-based research, causal effects, ethnographic case studies, correlational designs, discourse analysis, instrument development, and verbal protocols. *Up-to-date coverage of online research methods, neuroimaging, and other rapidly evolving methodologies. *Many of the exemplary studies are new.

Appropriate for those who will be working in the social sciences, this book offers comprehensive coverage of both experimental and non-experimental methods. The author provides succinct explanations for a full range of methods, including descriptive, correlational, experimental, and quasi-experimental research designs. Practical tips and applications integrated throughout the text allow readers to make real-world connections and understand the material.qii

Written by an interdisciplinary team of global experts covering diverse research methods - including research design, research tools, and statistical techniques - this volume focuses on advanced research methods for anyone working in the social and behavioral sciences. The information needed to perform research in the laboratory, the field, or online is mapped out to provide specific applications and tools in applying each method. The issues surrounding reliability, validity, and obtaining consent are explained alongside detailed descriptions of the impact of pre-knowledge on participant behavior, the ways that researchers unintentionally influence participants, and tips on administering suspicion probes and debriefings. The book then lays out bio-physiological measures, eye-tracking methods and technologies, the construction of questionnaires, and reaction-time methodologies without assuming too much prior knowledge. The basics of Bayesian analysis, item response analysis, social network analysis, and meta-analysis are also summarised as the editors combine innovative methods and statistics to showcase how to perform quality research.

This practical, activity-based textbook from well-known psychology author Cara Flanagan covers everything you need to know for the research methods part of your A Level psychology course.The skills, knowledge and understanding needed to get to grips with this challenging part of the course are delived in an appealing magazine-style layout. Appropriate for all AS and A Level Psychology specifications (AQA, OCR, WJEC/Eduqas and Edexcel), this book is perfect for learning about research methods either as a stand-alone or integrated part of the course.

MATLAB Blues is an accessible, comprehensive introduction to the MATLAB computer programming language-a powerful and increasingly popular tool for students and researchers. Rosenbaum identifies many of the common mistakes and pitfalls associated with using MATLAB, and shows users how they can learn from these mistakes to be better, happier programmers. Each chapter systematically addresses one of the basic principles of the programming language, like matrices, calculations, contingencies, plotting, input-output, and graphics, and then identifies areas that are problematic, as well as potential errors that can occur. This not only provides the reader with the fundamental "scales and chords" that a MATLAB programmer needs to know, but also with a series of examples and explanations of how to avoid and remedy common mistakes. Accompanied by an array of sample code that can be used and manipulated in conjunction with the textbook, this book is a practical, insightful introduction to MATLAB which provides motivation and encouragement to those with little or no background in programming as well as to those with more advanced concerns. It is an invaluable resource for researchers and students undertaking courses in research methods, statistics, and programming.

The Springer Handbook of Odor is the definitive guide to all aspects related to the study of smell and their impact on human life. For the first time, this handbook aligns the senso-chemo-analytical characterization of everyday smells encountered by mankind, with the elucidation of perceptual, hedonic, behavioral and physiological responses of humans to such odors. From birth onwards we learn to interact with our environment using our sense of smell. Moreover, evolutionary processes have engendered a multi-faceted communication that is supported - even dominated - by olfaction. This compilation examines the responses of humans to odors at different stages of life, thereby building a foundation for a widely overseen area of research with broader ramifications for human life. The expert international authors and editor align aspects, concepts, methodologies and perspectives from a broad range of different disciplines related to the science of smell. These include chemistry, physiology, psychology, material sciences, technology but also disciplines related to linguistics, culture, art and design. This handbook, edited by an internationally renowned aroma scientist with the support of an outstanding team of over 60 authors, is an authoritative reference for researchers in the field of odors both in academia and in industry and is also a useful reference for newcomers to the area.

Discovering the Scientist Within is uniquwe in the way it teaches students about research methods using a case study approach. Each chapter presents students with a single study described from start to finish. Chapters start by asking students to consider a scenario and then walk them through the steps of the study: formulating a research question, performing a literature review, constructing a data collection method, considering ethics, refining the method, gathering data, understanding and reporting the statistical results. Students come away with a practical understanding of the research process and useful practice in the basic steps that comprise all studies. The book can also be purchased with the breakthrough online resource, LaunchPad, which offers innovative media content, curated and organised for easy assignability. LaunchPad's intuitive interface presents quizzing, flashcards, animations and much more to make learning actively engaging.

A friendly and accessible, one-of-a-kind guide to psychological research methods, Your A to Z of Research Methods and Statistics in Psychology covers over 500 key terms and explores the concepts you need to navigate quantitative and qualitative methods in psychology with ease. From a priori comparisons to z scores, it forms the perfect companion to your core research methods and statistics textbook, and is an indispensable revision guide. Terms are clearly and engagingly defined, and the authors use a selection of helpful student tips, research examples, and eye-catching figures to enrich the text. You can also refer to a comprehensive decision chart to choose the most appropriate statistical test for your analysis, and consult a range of essential tables at the back of the text.

In his new book, Michael Billig uses psychology's past to argue that nowadays, when we write about the mind, we should use more examples and less theory. He provides a series of historical studies, analysing how key psychological writers used examples. Billig offers new insights about famous analysts of the mind, such as Locke, James, Freud, Tajfel and Lewin. He also champions unfairly forgotten figures, like the Earl of Shaftesbury and the eccentric Abraham Tucker. There is a cautionary chapter on Lacan, warning what can happen when examples are ignored. Marie Jahoda is praised as the ultimate example: a psychologist from the twentieth century with a social and rhetorical imagination fit for the twenty-first. More Examples, Less Theory is an easy-to-read book that will inform and entertain academics and their students. It will particularly appeal to those who enjoy the details of examples rather than the simplifications of big theory.

Starting Out in Methods and Statistics for Psychology: a Hands-on Guide to Doing Research takes first year psychology students through the entire process of doing research in psychology, from exploring designs and methods, to conducting step-by-step, by-hand data analysis, and writing up their findings, all in a friendly and accessible way. The text begins by presenting a thorough overview of research, explaining its central role in psychology as a science and exploring how to read and present research findings before introducing students to both qualitative and quantitative approaches to research. The author then explores experimental and correlational designs in detail, introducing the general principles before addressing the logic of the specific data analyses used in these forms of design. Dedicated chapters show students how to calculate independent and repeated t tests, and independent measures ANOVA in the experimental design section, and correlation and regression analyses in the correlation section. After guiding students through these essentials, the author moves on to a detailed explanation of when to use non-parametric tests, and again takes students through these data analyses in a carefully-paced series of hand calculations. The text concludes with a clear guide to when to use which test, and takes a look forward to the sorts of statistical analyses students will encounter in both published research and the next phase of their studies. Online Resource Centre For students: - A diagnostic maths test to help students identify their - strengths and weaknesses - Example lab reports (good and bad) - Example ethics applications forms - Full answers to the in-text study questions - SPSS screencasts - Links to papers and websites For lecturers: - Worksheets with additional datasets - Fully worked answers to worksheets - Testbank - Figures and tables from the book, ready to download - Animated solutions to the hand calculations

Surveys are used extensively in psychology, sociology and business, as well as many other areas, but they are becoming increasingly difficult to conduct. Some segments of the population are hard to sample, some are hard to find, others are hard to persuade to participate in surveys, and still others are hard to interview. This book offers the first systematic look at the populations and settings that make surveys hard to conduct and at the methods researchers use to meet these challenges. It covers a wide range of populations (immigrants, persons with intellectual difficulties, and political extremists) and settings (war zones, homeless shelters) that offer special problems or present unusual challenges for surveys. The team of international contributors also addresses sampling strategies including methods such as respondent-driven sampling and examines data collection strategies including advertising and other methods for engaging otherwise difficult populations.

The Psychologist's Companion, 6th edition is written for students, young professionals, and even mid-career scholars. It is the most comprehensive guide available to both written and oral communication processes for academic psychologists. It covers the topics necessary for career success, including planning papers, writing papers, presenting data, evaluating one's papers, writing grant proposals, giving talks, finding a book publisher, doing job interviews, and doing media interviews. Because the book is in its sixth edition, it is market tested for success in reaching and engaging its readers. Two special (new) pedagogical features are 'Experience is the best teacher', which draws on the authors' personal experiences to help make the book more personalized and exciting to readers, and 'What's wrong here', which gives readers an opportunity for active learning while they read the book. The authors have written the book in a personable and often humorous style that will keep readers engaged.

Neil J. Salkind's best-selling Statistics for People Who (Think They) Hate Statistics has been helping ease student anxiety around an often intimidating subject since it first published in 2000. Now the bestselling SPSS and Excel versions are joined by a first edition of the text for use with the R software. New co-author Leslie A. Shaw carries forward Neil's signature humorous, personable, and informative approach. The text guides students through various statistical procedures, beginning with descriptive statistics, correlation, and graphical representation of data, and ending with inferential techniques and analysis of variance. Features and benefits: Lots of support for getting started with R: Included are two introductory chapters on R and on R Studio, plus an appendix on other R packages and resource sites. Step-by-step demonstrations of each statistical procedure in R: The authors show how to import the dataset, enter the syntax to run the test, and understand the output. Additional resources make it easy to transition to this text, and to R: Code and datasets are available on an accompanying website, which also includes screencast R tutorial videos for students, and PowerPoint slides and additional test questions for instructors.

Engaging and accessible, this book teaches readers how to use inferential statistical thinking to check their assumptions, assess evidence about their beliefs, and avoid overinterpreting results that may look more promising than they really are. It provides step-by-step guidance for using both classical (frequentist) and Bayesian approaches to inference. Statistical techniques covered side by side from both frequentist and Bayesian approaches include hypothesis testing, replication, analysis of variance, calculation of effect sizes, regression, time series analysis, and more. Students also get a complete introduction to the open-source R programming language and its key packages. Throughout the text, simple commands in R demonstrate essential data analysis skills using real-data examples. The companion website provides annotated R code for the book's examples, in-class exercises, supplemental reading lists, and links to online videos, interactive materials, and other resources. User-Friendly Features *Playful, conversational style and gradual approach; suitable for students without strong math backgrounds. *End-of-chapter exercises based on real data supplied in the free R package. *Technical explanation and equation/output boxes. *Appendices on how to install R and work with the sample datasets.

Making Sense of Data and Statistics in Psychology confronts the pedagogic challenge of teaching statistics to students in psychology and related disciplines. Recognising the heterogeneous nature of students' mathematical backgrounds and motivations, the authors adopt an innovative approach while ensuring ready integration into orthodox undergraduate statistics courses at introductory and post-introductory levels. Before being introduced to formal statistics, students are encouraged to develop a 'feel' for data, particularly through visual representation. Making extensive use of exploratory data analysis (EDA), the text emphasises conceptual rather than technical or procedural understanding.

With a highly pragmatic, yet rigorous and pragmatically driven approach, this edited book explores demonstrates qualitative research with an applied approach. Using not only theory but real world setting, readers are introduced to the function and relevance of qualitative methods in psychological research. Exemplified through the contributions of various experts from across the different sub-disciplines of psychology, this text takes a versatile approach to explaining methods in research and covers a broad range of methods in a variety of settings. This book will appeal to those with an interest in qualitative methods across the spectrum of psychology and beyond. Offering an introduction to applied qualitative research in psychology with a distinctively applied approach, this title is apt for undergraduate psychology students taking modules in research methods, executing research-based projects or those undertaking Masters and taught doctoral level programs in psychology.

Encourages mastery of the basic principles of psychological research Research Methods, Design, and Analysis, 12/e, provides an understanding of the research methods used to investigate human thought and behavior. The coverage of experimental, qualitative, correlational, and survey research helps students develop their research skills for all aspects of psychology. Information is presented in a simple and straightforward manner and placed into context of actual research studies, helping students make real-life connections. MySearchLab is a part of the Christensen / Johnson / Turner program. Research and writing tools, including access to academic journals, help students explore Psychological Research in even greater depth. To provide students with flexibility, students can download the eText to a tablet using the free Pearson eText app. This title is available in a variety of formats and prices - digital and print. Pearson offers its titles on the devices students love through Pearson's MyLab products, CourseSmart, Amazon, and more.