Comprehensive, clear, and practical, Introduction to Research Methods in Psychology, sixth edition is the essential student guide to understanding and undertaking quantitative and qualitative research in psychology. Revised throughout, this new edition includes a new chapter on 'Managing your research project'. This is the ideal guide for students just beginning and those moving on to more advanced research methods projects in psychology.

This text focuses on the experimental methods and the associated terminology encountered in the research literature of psychology. Initially, the content is kept simple, so as not to distract from the information on research technique and philosophy. Interesting psychological questions from well researched areas are then examined in detail, permitting a fuller discussion of the problems encountered in specific paradigms. It is in this fashion that the book offers both methods and content.
Unique features of this text include:
* a detailed discussion of the process of theorizing, coupled with a close examination of psychological constructs, offers the reader an opportunity to see how psychologists think about, develop, and modify their theories, and the part played by research in changing explanations of behavior.
* Although it is common for psychologists to be self-conscious in their reasoning, it is uncommon to see an analysis of the logic that they use to draw conclusions. Presenting material that is rarely verbalized but readily acknowledged by experienced researchers, the text contains an overt analysis of the logic of drawing conclusions from research.
* Instructors are given a choice among 15 chapters to focus on or combine to suit the course's concentration. For example, instructors have the option of focusing on experimental psychology or a broad-based course including material on research methods in experimental, social, clinical, and applied psychology.
* Courses in experimental psychology or research methods are required for every psychology major. Statistical understanding is vital for this curriculum, and this text contains a comprehensive chapter on statistics making it ideal for courses that combine statistics and experimental methods.
Other important coverage includes:
* an all-inclusive summary of the material found in an introductory statistics class. Although courses in research methods and experimental psychology usually have a statistics prerequisite, the students rarely remember the material when entering the research course. This text provides the instructor with the option of simply assigning the statistics information as a review, rather than repeating the lectures. If the course requirements are such as to necessitate a joint statistics and research methods course -- with the instructor lecturing on both topics -- this text could serve as the single text for the course. A helpful discussion -- accompanied by a valuable table -- demonstrates how to choose an appropriate statistic. All necessary formulas and other familiar statistical procedures -- illustrating computational steps -- are also featured.
* a detailed discussion of how to develop tests for use in research. Aside from the value of this information for any researcher, it can be particularly helpful to students who are required to develop original experiments.
* an elaborate discussion of methodological issues in outcome research, using smoking cessation and weight reduction programs as examples.
Test bank disks for "Experimental Methods in Psychology, " -- free to adopters -- consist of an average of six short-answer, 11 fill-in-the-blank, and 11 multiple-choice questions for each chapter. The files are in both ASCII and Word-for-Windows formats.

Full of real-world case studies and practical advice, Exploratory Multivariate Analysis by Example Using R, Second Edition focuses on four fundamental methods of multivariate exploratory data analysis that are most suitable for applications. It covers principal component analysis (PCA) when variables are quantitative, correspondence analysis (CA) and multiple correspondence analysis (MCA) when variables are categorical, and hierarchical cluster analysis. The authors take a geometric point of view that provides a unified vision for exploring multivariate data tables. Within this framework, they present the principles, indicators, and ways of representing and visualising objects that are common to the exploratory methods. The authors show how to use categorical variables in a PCA context in which variables are quantitative, how to handle more than two categorical variables in a CA context in which there are originally two variables, and how to add quantitative variables in an MCA context in which variables are categorical. They also illustrate the methods using examples from various fields, with related R code accessible in the FactoMineR package developed by the authors.

This book presents the reader with a set of diverse, carefully developed and clearly specified systems of transcription and coding, arising from contrasting theoretical perspectives, and presented as alternative choices, situated within the theoretical domain most natural to each. The perspectives represented include first and second language acquisition, interethnic and crosscultural interaction, information structure, and the study of discourse influences on linguistic expression. In the contributed chapters, the designers of these systems provide a distillation of collective experiences from the past quarter century, telling in their own words their perspectives on language processes, how these perspectives have shaped their choice of methodology in transcription and coding of natural language, and describing their systems in detail. Overview chapters by the editors then provide design principles and guidelines concerning issues pertinent to all systems, including such things as reliability, validity, ease of learning, computational tractability, and robustness against error. The final chapter is a compendium of existing computerized archives of language data and information sources together with details concerning data access and use.

The systematic scientific investigation of human perception began over 130 years ago, yet relatively little is known about how we identify complex patterns. A major reason for this is that historically, most perceptual research focused on the more basic processes involved in the detection and discrimination of simple stimuli. This work progressed in a connectionist fashion, attempting to clarify fundamental mechanisms in depth before addressing the more complex problems of pattern recognition and classification. This extensive and impressive research effort built a firm basis from which to speculate about these issues. What seemed lacking, however, was an overall characterization of the recognition problem - a broad theoretical structure to direct future research in this area. Consequently, our primary objective in this volume, originally published in 1981, was not only to review existing contributions to our understanding of classification and recognition, but to project fruitful areas and directions for future research as well. The book covers four areas: complex visual patterns; complex auditory patterns; multi-dimensional perceptual spaces; theoretical pattern recognition.

These two companion volumes provide a comprehensive review and critical evaluation of the major DSM-III and DSM-III-R child disorders. Their major goal is to provide diagnostic and assessment guidelines that are based on scientific literature in specific clinical domains. Each chapter contains a discussion of the historical background of a particular diagnosis, definitional issues, a critical but selective review of the literature addressing the diagnosis in question, proposed changes in the diagnostic criteria based on the available literature, and proposed assessment models and methods based on the designated criteria. Given the scientific bases for many of these discussions of diagnostic criteria, these two volumes will serve professionals and graduate students in a wide variety of fields: clinical child psychology, child psychiatry, pediatrics, pediatric and school psychology, special education, social work, and other child mental health specialties.

Advanced and Multivariate Statistical Methods, Seventh Edition provides conceptual and practical information regarding multivariate statistical techniques to students who do not necessarily need technical and/or mathematical expertise in these methods. This text has three main purposes. The first purpose is to facilitate conceptual understanding of multivariate statistical methods by limiting the technical nature of the discussion of those concepts and focusing on their practical applications. The second purpose is to provide students with the skills necessary to interpret research articles that have employed multivariate statistical techniques. Finally, the third purpose of AMSM is to prepare graduate students to apply multivariate statistical methods to the analysis of their own quantitative data or that of their institutions. New to the Seventh Edition All references to SPSS have been updated to Version 27.0 of the software. A brief discussion of practical significance has been added to Chapter 1. New data sets have now been incorporated into the book and are used extensively in the SPSS examples. All the SPSS data sets utilized in this edition are available for download via the companion website. Additional resources on this site include several video tutorials/walk-throughs of the SPSS procedures. These "how-to" videos run approximately 5-10 minutes in length. Advanced and Multivariate Statistical Methods was written for use by students taking a multivariate statistics course as part of a graduate degree program, for example in psychology, education, sociology, criminal justice, social work, mass communication, and nursing.

Primary research in education and social sciences is marked by a diversity of methods and perspectives. How can we accommodate and reflect such diversity at the level of synthesizing research? What are the critical methodological decisions in the process of a research synthesis, and how do these decisions open up certain possibilities, while closing down others? This book draws upon methodologically diverse literature on research synthesis methods and primary research methods to develop a framework for synthesizing research. It presents a Methodologically Inclusive Research Synthesis framework to facilitate critical and informed decision-making among the producers and users of research synthesis. Three guiding principles for a quality research synthesis are proposed: informed subjectivity and reflexivity, purposefully informed selective inclusivity, and audience-appropriate transparency. The book then provides a thorough discussion of how these principles might be enacted in the following six phases: -identifying an appropriate epistemological orientation -identifying an appropriate purpose -searching for relevant literature -evaluating, interpreting and distilling evidence from selected studies -constructing connected understandings -communicating with an audience. A wide range of techniques and perspectives from postpositivist, interpretive, participatory, critical and postmodern traditions are considered in the book, and Suri opens up new areas of debate by exploring numerous aspects of research syntheses from a methodologically inclusive perspective. The book will be valuable reading for researchers and postgraduates in education and social sciences.

Contains information for using R software with the examples in the textbook Sampling: Design and Analysis, 3rd edition by Sharon L. Lohr.

Making sense of such bewildering problems as hallucinations, paranoia, depression, and anxiety seems an incredible challenge, but modern psychiatry is able to bring understanding and change to many of those whose lives are impaired by psychiatric problems. This is not accomplished through the application of one dominant psychological theory, but through the integration of perspectives of many such theories in this diverse field into a befitting approach-the biopsychosocial model. Application of the biopsychosocial model will allow for understanding the patient in biological, psychological, and social terms simultaneously, and provide a holistic picture with multiple strategies for treatment. In this book, the author takes a step back from the assessment to demonstrate to the student methods of the information gathered from the patient into a clinically useful whole, essentially showing exactly how and why the psychiatrist arrives at an intervention.

Do you want to spend less time studying but end up with better grades, and a deeper understanding of the subject? Studying psychology is a skill that can be learned. In this unique and practical 'how to' guide, Warren Davies offers some simple techniques that will enable students to retain information, organise their workload, and be more productive. By applying some simple and easy-to-make changes to your study habits, you will learn how to: Get more work done in less time Use memory techniques to help you breeze through exams Beat procrastination Develop a deep grasp of difficult topics Write excellent essays (including how to avoid the seven most common essay errors) Cut your study time in half Understand the 'results' section of research papers Write a dissertation to publishable standard. This book is written specifically with psychology undergraduate students in mind, and as such will enhance your learning and improve your grades with techniques that actually work.

Sponsored by the American Psychological Association, this is a representation of the proceedings of the National Conference on Graduate Education in Psychology. The proceedings begin with general introductory material, after which ten major issues are presented and discussed, answering such questions as: How can science and practice be combined? Should there be a core or individualized curriculum? What are the implications of the institutional and organizational setting? Are programs responsible for the marketability of their graduates? Major themes cutting across many presentations and recommendations include: the perceived unity or disunity of psychology as it is taught and as it organizationally exists; the acceptance and encouragement of diversity within a unified discipline; the quality of graduate education and its students; and recognition that graduate education involves people as well as curricula. Since the issues covered are of great concern to scientists, health service providers and educators alike, this book should have a significant impact on the field.

George and Louise Spindler are widely regarded as significant founders of the field of educational anthropology. This book brings together their best, most seminal work from the last 50 years--a time frame representing the developmental epoch of the field--and binds them together with a master commentary by George Spindler. Previously scattered over a wide range of publications, the articles collected here allow for a unified view of the Spindlers' work and of the development of the field. The book opens with an insightful Foreword by Henry T. Trueba, a fascinating piece titled "A Life With Anthropology and Education: Interviews With George and Louise Spindler by Ray McDermott and Frederick Erickson," and George Spindler's "Previews" essay which gives the reader a grasp of the whole to which the parts of the book contribute. These pieces frame and contextualize the work that follows. In Part I, Character Defining, many of the major themes of this volume are first encountered; this section sets the stage for what follows. Part II, Comparisons, focuses on comparison, which the Spindlers view as essential to an anthropological approach. Part III, Ethnography in Action, is devoted to the explicit exposition of ethnographic methods (though actually every piece in the book is a demonstration of method). Part IV, American Culture, moves from a traditional representation of American Culture to a processual analysis of how the culture is transmitted in real situations, and finally to an interpretation of right-wing actions that seem to constitute a reactive movement; the implications for education are pursued. Part V, Cultural Therapy , explains what cultural therapy is and how it may be applied to teachers and students. The volume concludes with Part VI, Orientation, Susan Parman's overview of the works of the Spindlers that spans their whole career.

For those who teach students in psychology, education, and the social sciences, the Handbook of Demonstrations and Activities in the Teaching of Psychology, Second Edition provides practical applications and rich sources of ideas. Revised to include a wealth of new material (56% of the articles are new), these invaluable reference books contain the collective experience of teachers who have successfully dealt with students' difficulty in mastering important concepts about human behavior. Each volume features a table that lists the articles and identifies the primary and secondary courses in which readers can use each demonstration. Additionally, the subject index facilitates retrieval of articles according to topical headings, and the appendix notes the source as it originally appeared in Teaching of Psychology, the official journal of the Society for the Teaching of Psychology, Division Two of the American Psychological Association. Volume I consists of 97 articles about strategies for teaching introductory psychology, statistics, research methods, and the history of psychology classes. Divided into four sections (one for each specialty), the book suggests ways to stimulate interest, promote participation, grasp psychological terminology, and master necessary scientific skills.

"This is a great overview of the field of model-based clustering and classification by one of its leading developers. McNicholas provides a resource that I am certain will be used by researchers in statistics and related disciplines for quite some time. The discussion of mixtures with heavy tails and asymmetric distributions will place this text as the authoritative, modern reference in the mixture modeling literature." (Douglas Steinley, University of Missouri) Mixture Model-Based Classification is the first monograph devoted to mixture model-based approaches to clustering and classification. This is both a book for established researchers and newcomers to the field. A history of mixture models as a tool for classification is provided and Gaussian mixtures are considered extensively, including mixtures of factor analyzers and other approaches for high-dimensional data. Non-Gaussian mixtures are considered, from mixtures with components that parameterize skewness and/or concentration, right up to mixtures of multiple scaled distributions. Several other important topics are considered, including mixture approaches for clustering and classification of longitudinal data as well as discussion about how to define a cluster Paul D. McNicholas is the Canada Research Chair in Computational Statistics at McMaster University, where he is a Professor in the Department of Mathematics and Statistics. His research focuses on the use of mixture model-based approaches for classification, with particular attention to clustering applications, and he has published extensively within the field. He is an associate editor for several journals and has served as a guest editor for a number of special issues on mixture models.

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.

Interpretative phenomenological analysis (IPA) is a qualitative research approach committed to the examination of how people make sense of their major life experiences. This text provides a detailed guide to conducting IPA research, presenting the theoretical underpinnings of the approach, a comprehensive overview of the stages of an IPA research project, and examples of high-quality IPA studies. Extended worked examples from the authors' own studies in health, psychological distress, and identity illustrate the breadth and depth of IPA research, making this book the definitive guide to IPA for students and researchers alike. New to this edition: - A thoroughly updated chapter dedicated to analysis - An exemplary mini-study - Improved and updated terminology - A chapter discussing innovations in design, data collection, and collaboration 'It is not often I can use "accessible" and "phenomenology" in the same sentence, but reading the new book, Interpretative Phenomenological Analysis...certainly provides me the occasion to do so. I can say this because these authors provide an engaging and clear introduction to a relatively new analytical approach' - The Weekly Qualitative Report

Originally published in 1992, the editors of this volume fulfill three main goals: to take stock of progress in the development of data-analysis procedures for single-subject research; to clearly explain errors of application and consider them within the context of new theoretical and empirical information of the time; and to closely examine new developments in the analysis of data from single-subject or small n experiments. To meet these goals, this book provides examples of applicable single-subject research data analysis. It presents a wide variety of topics and perspectives and hopes that readers will select the data-analysis strategies that best reflect their methodological approaches, statistical sophistication, and philosophical beliefs. These strategies include visual analysis, nonparametric tests, time-series experiments, applications of statistical procedures for multiple behaviors, applications of meta-analysis in single-subject research, and discussions of issues related to the application and misapplication of selected techniques.

What are the changes we see over the life-span? How can we explain them? And how do we account for individual differences? This volume continues to examine these questions and to report advances in empirical research within life-span development increasing its interdisciplinary nature. The relationships between individual development, social context, and historical change are salient issues discussed in this volume, as are nonnormative and atypical events contributing to life-span change.

With a new chapter on the literature review, this accessible step-by-step guide to using the five major approaches to research design is now in a thoroughly revised second edition. The prior edition's user-friendly features are augmented by a new companion website with worksheets keyed to each chapter. For each approach, the text presents a template for a research proposal and explains how to conceptualize and fill in every section. Interdisciplinary research examples draw on current events and social justice issues. Unique coverage includes hot topics--replication studies, data sharing, and preregistration; tailoring proposals to different audiences; and more. Terminology commonly used in each approach is identified and key moments of ethical decision making are flagged. The book includes a general introduction to social research, an in-depth discussion of ethics, and a chapter on how to begin a research study. New to This Edition *New or expanded discussions of theory and literature in quantitative research, replication studies, preregistration of research, the critical paradigm in qualitative research, mixed methods research, approaching different kinds of organizations in community-based participatory research, and more. *Chapter on the literature review, including the ethics of citational practices. *Companion website with worksheets to aid in learning and practicing each chapter's key concepts. *Updated examples, references, and recommended readings throughout. Pedagogical Features *Multiple "Review Stops" in each chapter--quick quizzes with answer keys. *End-of-chapter writing exercises, research activities, and suggested resources. *Bolded key terms and an end-of-book glossary. *Boxed tips from experts in the respective approaches. *Pointers to downloadable worksheets throughout the chapters. *Author-created PowerPoints and chapter tests with answer keys available to instructors using the book in a course.

The crux of the debate between proponents of behavioral psychology and cognitive psychology focuses on the issue of accessibility. Cognitivists believe that mental mechanisms and processes are accessible, and that their inner workings can be inferred from experimental observations of behavior. Behaviorists, on the contrary, believe that mental processes and mechanisms are inaccessible, and that nothing important about them can be inferred from even the most cleverly designed empirical studies. One argument that is repeatedly raised by cognitivists is that even though mental processes are not directly accessible, this should not be a barrier to unravelling the nature of the inner mental processes and mechanisms. Inference works for other sciences, such as physics, so why not psychology? If physics can work so successfully with their kind of inaccessibility to make enormous theoretical progress, then why not psychology? As with most previous psychological debates, there is no "killer argument" that can provide an unambiguous resolution. In its absence, author William Uttal explores the differing properties of physical and psychological time, space, and mathematics before coming to the conclusion that there are major discrepancies between the properties of the respective subject matters that make the analogy of comparable inaccessibilities a false one.

This is the first comprehensive survey of Descriptive Psychology. It provides a systematic account of the basic formulations and characteristic methodologies of this discipline which was developed by Peter G. Ossorio of the University of Colorado at Boulder. Dr. Ossorio defines Descriptive Psychology as "a set of systematically related concepts which is designed to provide formal access to all the facts and possible facts concerning persons and behavioroand therefore everything else as well."

This second edition presents the core fundamentals of the subject in 11 manageable chapters while maintaining the book's scientific integrity. The research methods students need to understand, interpret, and analyze social psychological research are emphasized throughout. The streamlined approach provides an economical textbook for students and a flexible format that allows instructors to cover the entire book in a single semester. A book specific Web site contains a free online study guide and a variety of teaching tools. An Instructor's Manual/Test Bank and a Computerized Test Bank are also available.

This book presents a framework for development, optimization, and evaluation of behavioral, biobehavioral, and biomedical interventions. Behavioral, biobehavioral, and biomedical interventions are programs with the objective of improving and maintaining human health and well-being, broadly defined, in individuals, families, schools, organizations, or communities. These interventions may be aimed at, for example, preventing or treating disease, promoting physical and mental health, preventing violence, or improving academic achievement. This volume introduces the multiphase optimization strategy (MOST), pioneered at The Methodology Center at the Pennsylvania State University, as an alternative to the classical approach of relying solely on the randomized controlled trial (RCT). MOST borrows heavily from perspectives taken and approaches used in engineering, and also integrates concepts from statistics and behavioral science, including the RCT. As described in detail in this book, MOST consists of three phases: preparation, in which the conceptual model underlying the intervention is articulated; optimization, in which experimentation is used to gather the information necessary to identify the optimized intervention; and evaluation, in which the optimized intervention is evaluated in a standard RCT. Through numerous examples, the book demonstrates that MOST can be used to develop interventions that are more effective, efficient, economical, and scalable. Optimization of Behavioral, Biobehavioral, and Biomedical Interventions: The Multiphase Optimization Strategy is the first book to present a comprehensive introduction to MOST. It will be an essential resource for behavioral, biobehavioral, and biomedical scientists; statisticians, biostatisticians, and analysts working in epidemiology and public health; and graduate-level courses in development and evaluation of interventions.

A greatly expanded and heavily revised second edition, this popular guide provides instructions and clear examples for running analyses of variance (ANOVA) and several other related statistical tests of significance with SPSS. No other guide offers the program statements required for the more advanced tests in analysis of variance. All of the programs in the book can be run using any version of SPSS, including versions 11 and 11.5. A table at the end of the preface indicates where each type of analysis (e.g., simple comparisons) can be found for each type of design (e.g., mixed two-factor design). Providing comprehensive coverage of the basic and advanced topics in ANOVA, this is the only book available that provides extensive coverage of SPSS syntax, including the commands and subcommands that tell SPSS what to do, as well as the pull-down menu point-and-click method (PAC). Detailed explanation of the syntax, including what is necessary, desired, and optional helps ensure that users can validate the analysis being performed. The book features the output of each design along with a complete explanation of the related printout. The new edition was reorganized to provide all analysis related to one design type in the same chapter. It now features expanded coverage of analysis of covariance (ANCOVA) and mixed designs, new chapters on designs with random factors, multivariate designs, syntax used in PAC, and all new examples of output with complete explanations. The new edition is accompanied by downloadable resources with all of the book's data sets, as well as exercises for each chapter. This book is ideal for readers familiar with the basic concepts of the ANOVA technique including both practicing researchers and data analysts, as well as advanced students learning analysis of variance.