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| design a psychology experiment: Experimental Design in Psychology M. Kimberly MacLin, 2023-12-22 This text is about doing science and the active process of reading, learning, thinking, generating ideas, designing experiments, and the logistics surrounding each step of the research process. In easy-to-read, conversational language, Kim MacLin teaches students experimental design principles and techniques using a tutorial approach in which students read, critique, and analyze over 75 actual experiments from every major area of psychology. She provides them with real-world information about how science in psychology is conducted and how they can participate. Recognizing that students come to an experimental design course with their own interests and perspectives, MacLin covers many subdisciplines of psychology throughout the text, including IO psychology, child psychology, social psychology, behavioral psychology, cognitive psychology, clinical psychology, health psychology, educational/school psychology, legal psychology, and personality psychology, among others. Part I of the text is content oriented and provides an overview of the principles of experimental design. Part II contains annotated research articles for students to read and analyze. New sections on how to critically evaluate media reports of scientific findings (in other words, how to identify ‘fake news’), authorship guidelines and decisions, survey research methods and AI tools have been included. Further, expanded information on the Open Science movement, and on ethics in research, and methods to achieve clarity and precision in thinking and writing are included. This edition is up to date with the latest APA Publication Manual (7th edition) and includes an overview of the bias-free language guidelines, the use of singular they, and an ethical compliance checklist.. This text is essential reading for students and researchers interested in and studying experimental design in psychology. |
| design a psychology experiment: Experimental Design and Analysis for Psychology Herve Abdi, 2009-02-26 A complete course in data collection and analysis for students who need to go beyond the basics. A true course companion, the engaging writing style takes readers through challenging topics, blending examples and exercises with careful explanations and custom-drawn figures ensuring the most daunting concepts can be fully understood. |
| design a psychology experiment: How to Design and Report Experiments Andy Field, Graham Hole, 2002-12-20 How to Design and Report Experiments is the perfect textbook and guide to the often bewildering world of experimental design and statistics. It provides a complete map of the entire process beginning with how to get ideas about research, how to refine your research question and the actual design of the experiment, leading on to statistical procedure and assistance with writing up of results. While many books look at the fundamentals of doing successful experiments and include good coverage of statistical techniques, this book very importantly considers the process in chronological order with specific attention given to effective design in the context of likely methods needed and expected results. Without full assessment of these aspects, the experience and results may not end up being as positive as one might have hoped. Ample coverage is then also provided of statistical data analysis, a hazardous journey in itself, and the reporting of findings, with numerous examples and helpful tips of common downfalls throughout. Combining light humour, empathy with solid practical guidance to ensure a positive experience overall, How to Design and Report Experiments will be essential reading for students in psychology and those in cognate disciplines with an experimental focus or content in research methods courses. |
| design a psychology experiment: Perception and the Representative Design of Psychological Experiments Egon Brunswik, 2023-11-10 |
| design a psychology experiment: Experimental Design in Psychological Research Allen Louis Edwards, 1971 |
| design a psychology experiment: Experimental Psychology Frank J. McGuigan, 1997 This book explores the field of experimental psychology from the standpoint of scientific methodology and methods of experimentation, rather than from specific content areas. There is a step-by-step process of effectively completing statistical analyses for major research designs used in behavioral research, and emphasizes the mutual facilitation of pure and applied research and the wise application of effective research methods to benefit society. Requires no previous background in statistics, develops a broad perspective about where sound psychological research fits within areas of public interest as well as more generally within science. This book gives special attention to ethics in human and animal research. It discusses the use of computers in psychology from historical and contemporary perspectives, and provides thorough guidance in the development of a research project from conception to written form. |
| design a psychology experiment: Encyclopedia of Research Design Neil J. Salkind, 2010-06-22 Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases.--Publisher's description. |
| design a psychology experiment: Experimental Design and Statistics for Psychology Fabio Sani, John Todman, John B. Todman, 2006 Experimental Design and Statistics for Psychology: A First Course is a concise and accessible introduction to the design of psychology experiments and the statistical tests used to make sense of their results. Written in a straightforward, effective style and making abundant use of charts, diagrams and figures, this book assumes no prior knowledge of statistics and will be of benefit to all students needing a clear pathway into this often confusing area. The book introduces the main aspects of experimental design and statistics, including: how to formulate precise hypotheses and design experiments aimed at testing them. coverage of different aspects of experimental design. descriptive and inferential statistical analysis of experimental data. the difference between experimental and correlational studies. detailed instructions on how to perform statistical tests with SPSS. An invaluable step-by-step guide to all psychology students needing a firm grasp of the basics, Experimental Design and Statistics for Psychology: A First Course will also fire the imagination of more ambitious students by tackling some of the topic’s more complex, controversial issues. This book is also supported by an online password protected lecturer resource site which features test questions, downloadable figures and tables, and sample SPSS data-sets. Visit www.blackwellpublishing.com/sani. |
| design a psychology experiment: The SAGE Handbook of Quantitative Methods in Psychology Roger E Millsap, Alberto Maydeu-Olivares, 2009-07-23 `I often... wonder to myself whether the field needs another book, handbook, or encyclopedia on this topic. In this case I think that the answer is truly yes. The handbook is well focused on important issues in the field, and the chapters are written by recognized authorities in their fields. The book should appeal to anyone who wants an understanding of important topics that frequently go uncovered in graduate education in psychology′ - David C Howell, Professor Emeritus, University of Vermont Quantitative psychology is arguably one of the oldest disciplines within the field of psychology and nearly all psychologists are exposed to quantitative psychology in some form. While textbooks in statistics, research methods and psychological measurement exist, none offer a unified treatment of quantitative psychology. The SAGE Handbook of Quantitative Methods in Psychology does just that. Each chapter covers a methodological topic with equal attention paid to established theory and the challenges facing methodologists as they address new research questions using that particular methodology. The reader will come away from each chapter with a greater understanding of the methodology being addressed as well as an understanding of the directions for future developments within that methodological area. Drawing on a global scholarship, the Handbook is divided into seven parts: Part One: Design and Inference: addresses issues in the inference of causal relations from experimental and non-experimental research, along with the design of true experiments and quasi-experiments, and the problem of missing data due to various influences such as attrition or non-compliance. Part Two: Measurement Theory: begins with a chapter on classical test theory, followed by the common factor analysis model as a model for psychological measurement. The models for continuous latent variables in item-response theory are covered next, followed by a chapter on discrete latent variable models as represented in latent class analysis. Part Three: Scaling Methods: covers metric and non-metric scaling methods as developed in multidimensional scaling, followed by consideration of the scaling of discrete measures as found in dual scaling and correspondence analysis. Models for preference data such as those found in random utility theory are covered next. Part Four: Data Analysis: includes chapters on regression models, categorical data analysis, multilevel or hierarchical models, resampling methods, robust data analysis, meta-analysis, Bayesian data analysis, and cluster analysis. Part Five: Structural Equation Models: addresses topics in general structural equation modeling, nonlinear structural equation models, mixture models, and multilevel structural equation models. Part Six: Longitudinal Models: covers the analysis of longitudinal data via mixed modeling, time series analysis and event history analysis. Part Seven: Specialized Models: covers specific topics including the analysis of neuro-imaging data and functional data-analysis. |
| design a psychology experiment: The Design of Experiments in Neuroscience Mary Harrington, 2020-02-06 A student guide to neuroscience research including how to select a topic, analyze data, and present research. |
| design a psychology experiment: Experimental Design in Psychology M. Kimberly MacLin, 2020-03-31 This text is about doing science and the active process of reading, learning, thinking, generating ideas, designing experiments, and the logistics surrounding each step of the research process. In easy-to-read, conversational language, Kim MacLin teaches students experimental design principles and techniques using a tutorial approach in which students read, critique, and analyze over 75 actual experiments from every major area of psychology. She provides them with real-world information about how science in psychology is conducted and how they can participate. Recognizing that students come to an experimental design course with their own interests and perspectives, MacLin covers many subdisciplines of psychology throughout the text, including IO psychology, child psychology, social psychology, behavioral psychology, cognitive psychology, clinical psychology, health psychology, educational/school psychology, legal psychology, and personality psychology, among others. Part I of the text is content oriented and provides an overview of the principles of experimental design. Part II contains annotated research articles for students to read and analyze. Classic articles have been retained and 11 new ones have been added, featuring contemporary case studies, information on the Open Science movement, expanded coverage on ethics in research, and a greater focus on becoming a better writer, clarity and precision in writing, and reducing bias in language. This edition is up to date with the latest APA Publication Manual (7th edition) and includes an overview of the updated bias-free language guidelines, the use of singular they, the new ethical compliance checklist, and other key changes in APA style. This text is essential reading for students and researchers interested in and studying experimental design in psychology. |
| design a psychology experiment: Doing Psychology Experiments David W. Martin, 2000 Even if you have no background in experimentation, this clear, straightforward book can help you design, execute, interpret, and report simple experiments in psychology. David W. Martin's unique blend of informality, humor, and solid scholarship have made this concise book a popular choice for methods courses in psychology. Doing Psychology Experiments guides you through the experimentation process in an easy-to-follow, step-by-step manner. Decision-making aspects of research are emphasized, and the logic behind research procedures is fully explained. |
| design a psychology experiment: Experimental Design Research Philip Cash, Tino Stanković, Mario Štorga, 2016-05-17 This book presents a new, multidisciplinary perspective on and paradigm for integrative experimental design research. It addresses various perspectives on methods, analysis and overall research approach, and how they can be synthesized to advance understanding of design. It explores the foundations of experimental approaches and their utility in this domain, and brings together analytical approaches to promote an integrated understanding. The book also investigates where these approaches lead to and how they link design research more fully with other disciplines (e.g. psychology, cognition, sociology, computer science, management). Above all, the book emphasizes the integrative nature of design research in terms of the methods, theories, and units of study—from the individual to the organizational level. Although this approach offers many advantages, it has inherently led to a situation in current research practice where methods are diverging and integration between individual, team and organizational understanding is becoming increasingly tenuous, calling for a multidisciplinary and transdiscipinary perspective. Experimental design research thus offers a powerful tool and platform for resolving these challenges. Providing an invaluable resource for the design research community, this book paves the way for the next generation of researchers in the field by bridging methods and methodology. As such, it will especially benefit postgraduate students and researchers in design research, as well as engineering designers. |
| design a psychology experiment: Statistics And Experimental Design For Psychologists: A Model Comparison Approach Rory Allen, 2017-08-28 This is the first textbook for psychologists which combines the model comparison method in statistics with a hands-on guide to computer-based analysis and clear explanations of the links between models, hypotheses and experimental designs. Statistics is often seen as a set of cookbook recipes which must be learned by heart. Model comparison, by contrast, provides a mental roadmap that not only gives a deeper level of understanding, but can be used as a general procedure to tackle those problems which can be solved using orthodox statistical methods.Statistics and Experimental Design for Psychologists focusses on the role of Occam's principle, and explains significance testing as a means by which the null and experimental hypotheses are compared using the twin criteria of parsimony and accuracy. This approach is backed up with a strong visual element, including for the first time a clear illustration of what the F-ratio actually does, and why it is so ubiquitous in statistical testing.The book covers the main statistical methods up to multifactorial and repeated measures, ANOVA and the basic experimental designs associated with them. The associated online supplementary material extends this coverage to multiple regression, exploratory factor analysis, power calculations and other more advanced topics, and provides screencasts demonstrating the use of programs on a standard statistical package, SPSS.Of particular value to third year undergraduate as well as graduate students, this book will also have a broad appeal to anyone wanting a deeper understanding of the scientific method. |
| design a psychology experiment: Quasi-Experimentation Charles S. Reichardt, 2019-09-02 Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings. Foremost expert Charles S. Reichardt provides an in-depth examination of the design and statistical analysis of pretest-posttest, nonequivalent groups, regression discontinuity, and interrupted time-series designs. He details their relative strengths and weaknesses and offers practical advice about their use. Reichardt compares quasi-experiments to randomized experiments and discusses when and why the former might be a better choice. Modern moethods for elaborating a research design to remove bias from estimates of treatment effects are described, as are tactics for dealing with missing data and noncompliance with treatment assignment. Throughout, mathematical equations are translated into words to enhance accessibility. |
| design a psychology experiment: Research In Psychology C. James Goodwin, 2009-11-02 The sixth edition provides psychologists with insight into the essential nature of experimental psychology and a solid grounding in its methods and practices. It has been updated to help them develop research ideas, hypotheses, and design studies. In addition, they’ll find out how to carry them out, analyze results and draw reasoned conclusions from them. The chapters have also been updated with the important new developments in research methodologies and fascinating examples from recent studies to provide psychologists with the most up-to-date information in the field. |
| design a psychology experiment: The Powerful Placebo Arthur K. Shapiro, Elaine Shapiro, 2000-10-17 Ranging from antiquity to modern times, this history of the placebo effect is especially timely in light of renewed interest in the mind-body relationship. Until this century, most medications prescribed by physicians were pharmacologically inert, if not harmful. That is, physicians were prescribing placebos or worse without knowing it. In a sense, then, the history of medical treatment until relatively recently is the history of the placebo effect. Based on the authors' lifelong study and clinical research, this is a comprehensive and scholarly examination of the placebo effect. The authors begin by surveying the use of placebos from antiquity to modern times. They also examine the development, use, and validity of the double-blind, controlled clinical trial. And they present their own study of the placebo effect in more than 1000 patients. Demonstrating both the magnitude and the limitations of the placebo effect, the book helps to clarify knotty issues ranging from the evaluation of therapies to the ethics of conducting controlled studies in which patients are deliberately given placebos. With the renewed interest in the mind-body relationship as well as in the role of placebos in new and alternative medical procedures and therapies, the findings of this book are especially timely. |
| design a psychology experiment: Experimental and Quasi-Experimental Designs for Research Donald T. Campbell, Julian C. Stanley, 2015-09-03 We shall examine the validity of 16 experimental designs against 12 common threats to valid inference. By experiment we refer to that portion of research in which variables are manipulated and their effects upon other variables observed. It is well to distinguish the particular role of this chapter. It is not a chapter on experimental design in the Fisher (1925, 1935) tradition, in which an experimenter having complete mastery can schedule treatments and measurements for optimal statistical efficiency, with complexity of design emerging only from that goal of efficiency. Insofar as the designs discussed in the present chapter become complex, it is because of the intransigency of the environment: because, that is, of the experimenter’s lack of complete control. |
| design a psychology experiment: Designing And Reporting Experiments In Psychology Harris, Peter, 2008-04-01 The third edition of this text offers expanded advice and updated guidelines to students on designing and writing reports of experimental and other studies in psychology. |
| design a psychology experiment: Designing Experiments and Analyzing Data Scott E. Maxwell, Harold D. Delaney, Ken Kelley, 2017-09-11 Designing Experiments and Analyzing Data: A Model Comparison Perspective (3rd edition) offers an integrative conceptual framework for understanding experimental design and data analysis. Maxwell, Delaney, and Kelley first apply fundamental principles to simple experimental designs followed by an application of the same principles to more complicated designs. Their integrative conceptual framework better prepares readers to understand the logic behind a general strategy of data analysis that is appropriate for a wide variety of designs, which allows for the introduction of more complex topics that are generally omitted from other books. Numerous pedagogical features further facilitate understanding: examples of published research demonstrate the applicability of each chapter’s content; flowcharts assist in choosing the most appropriate procedure; end-of-chapter lists of important formulas highlight key ideas and assist readers in locating the initial presentation of equations; useful programming code and tips are provided throughout the book and in associated resources available online, and extensive sets of exercises help develop a deeper understanding of the subject. Detailed solutions for some of the exercises and realistic data sets are included on the website (DesigningExperiments.com). The pedagogical approach used throughout the book enables readers to gain an overview of experimental design, from conceptualization of the research question to analysis of the data. The book and its companion website with web apps, tutorials, and detailed code are ideal for students and researchers seeking the optimal way to design their studies and analyze the resulting data. |
| design a psychology experiment: Experimental Design and Statistics for Psychology Fabio Sani, John Todman, 2008-04-15 Experimental Design and Statistics for Psychology: A First Course is a concise, straighforward and accessible introduction to the design of psychology experiments and the statistical tests used to make sense of their results. Makes abundant use of charts, diagrams and figures. Assumes no prior knowledge of statistics. Invaluable to all psychology students needing a firm grasp of the basics, but tackling of some of the topic’s more complex, controversial issues will also fire the imagination of more ambitious students. Covers different aspects of experimental design, including dependent versus independent variables, levels of treatment, experimental control, random versus systematic errors, and within versus between subjects design. Provides detailed instructions on how to perform statistical tests with SPSS. Downloadable instructor resources to supplement and support your lectures can be found at www.blackwellpublishing.com/sani and include sample chapters, test questions, SPSS data sets, and figures and tables from the book. |
| design a psychology experiment: Critical Thinking in Psychology Robert J. Sternberg, Henry L. Roediger III, Diane F. Halpern, 2007 Explores key topics in psychology, showing how they can be critically examined. |
| design a psychology experiment: The SAGE Encyclopedia of Communication Research Methods Mike Allen, 2017-04-11 Communication research is evolving and changing in a world of online journals, open-access, and new ways of obtaining data and conducting experiments via the Internet. Although there are generic encyclopedias describing basic social science research methodologies in general, until now there has been no comprehensive A-to-Z reference work exploring methods specific to communication and media studies. Our entries, authored by key figures in the field, focus on special considerations when applied specifically to communication research, accompanied by engaging examples from the literature of communication, journalism, and media studies. Entries cover every step of the research process, from the creative development of research topics and questions to literature reviews, selection of best methods (whether quantitative, qualitative, or mixed) for analyzing research results and publishing research findings, whether in traditional media or via new media outlets. In addition to expected entries covering the basics of theories and methods traditionally used in communication research, other entries discuss important trends influencing the future of that research, including contemporary practical issues students will face in communication professions, the influences of globalization on research, use of new recording technologies in fieldwork, and the challenges and opportunities related to studying online multi-media environments. Email, texting, cellphone video, and blogging are shown not only as topics of research but also as means of collecting and analyzing data. Still other entries delve into considerations of accountability, copyright, confidentiality, data ownership and security, privacy, and other aspects of conducting an ethical research program. Features: 652 signed entries are contained in an authoritative work spanning four volumes available in choice of electronic or print formats. Although organized A-to-Z, front matter includes a Reader’s Guide grouping entries thematically to help students interested in a specific aspect of communication research to more easily locate directly related entries. Back matter includes a Chronology of the development of the field of communication research; a Resource Guide to classic books, journals, and associations; a Glossary introducing the terminology of the field; and a detailed Index. Entries conclude with References/Further Readings and Cross-References to related entries to guide students further in their research journeys. The Index, Reader’s Guide themes, and Cross-References combine to provide robust search-and-browse in the e-version. |
| design a psychology experiment: Experiment, Design and Statistics in Psychology Colin Robson, 1990 |
| design a psychology experiment: Methods of Randomization in Experimental Design Valentim R. Alferes, 2012-10 This text provides a conceptual systematization and a practical tool for the randomization of between-subjects and within-subjects experimental designs. |
| design a psychology experiment: Python for Experimental Psychologists Edwin Dalmaijer, 2016-11-03 Programming is an important part of experimental psychology and cognitive neuroscience, and Python is an ideal language for novices. It sports a very readable syntax, intuitive variable management, and a very large body of functionality that ranges from simple arithmetic to complex computing. Python for Experimental Psychologists provides researchers without prior programming experience with the knowledge they need to independently script experiments and analyses in Python. The skills it offers include: how to display stimuli on a computer screen; how to get input from peripherals (e.g. keyboard, mouse) and specialised equipment (e.g. eye trackers); how to log data; and how to control timing. In addition, it shows readers the basic principles of data analysis applied to behavioural data, and the more advanced techniques required to analyse trace data (e.g. pupil size) and gaze data. Written informally and accessibly, the book deliberately focuses on the parts of Python that are relevant to experimental psychologists and cognitive neuroscientists. It is also supported by a companion website where you will find colour versions of the figures, along with example stimuli, datasets and scripts, and a portable Windows installation of Python. |
| design a psychology experiment: Single Case Experimental Designs David H. Barlow, Michel Hersen, 1984 |
| design a psychology experiment: Understanding Statistics and Experimental Design Michael H. Herzog, Gregory Francis, Aaron Clarke, 2019-08-13 This open access textbook provides the background needed to correctly use, interpret and understand statistics and statistical data in diverse settings. Part I makes key concepts in statistics readily clear. Parts I and II give an overview of the most common tests (t-test, ANOVA, correlations) and work out their statistical principles. Part III provides insight into meta-statistics (statistics of statistics) and demonstrates why experiments often do not replicate. Finally, the textbook shows how complex statistics can be avoided by using clever experimental design. Both non-scientists and students in Biology, Biomedicine and Engineering will benefit from the book by learning the statistical basis of scientific claims and by discovering ways to evaluate the quality of scientific reports in academic journals and news outlets. |
| design a psychology experiment: Doing Psychology Experiments David W. Martin, 1985 Learn how to design, execute, interpret, and report on simple psychology experiments! David W. Martin blends humor, clear instruction, and solid scholarship to make this concise text a perfect introduction to research methods in psychology. DOING PSYCHOLOGY EXPERIMENTS guides you through the experimentation process in a step-by-step manner. Martin emphasizes the decision-making aspects of research, as well as the logic behind research procedures. He also devotes two separate chapters to many of the ethical questions that confront new experimenters giving you a complete introduction to the psychology laboratory. |
| design a psychology experiment: Experiments With People Kurt P. Frey, Aiden P. Gregg, 2017-08-29 This book showcases 28 intriguing social psychological experiments that have significantly advanced our understanding of human social thinking and behavior. Each chapter focuses on the details and implications of a single study, while citing related research and real-life examples along the way. All the chapters are fully self-contained, allowing them to be read in any order without loss of coherence. This 2nd Edition contains a number of new studies and, together with its lively, conversational tone, it makes an ideal text for courses in social psychology, introductory psychology, or research design. |
| design a psychology experiment: Analysis of Variance in Experimental Design Harold R. Lindman, 2012-12-06 As an introductory textbook on the analysis of variance or a reference for the researcher, this text stresses applications rather than theory, but gives enough theory to enable the reader to apply the methods intelligently rather than mechanically. Comprehensive, and covering the important techniques in the field, including new methods of post hoc testing. The relationships between different research designs are emphasized, and these relationships are exploited to develop general principles which are generalized to the analyses of a large number of seemingly differentdesigns. Primarily for graduate students in any field where statistics are used. |
| design a psychology experiment: Experimental Design Roger E. Kirk, 1982 An ode to Winnipeg's north end, where Ms. Vermette grew up. It's also the neighbourhood where her Métis brother went missing. |
| design a psychology experiment: The Philosophy Of Scientific Experimentation Hans Radder, 2003-02-23 The Philosophy of Scientific Experimentation focuses on the identification and clarification of philosophical issues in experimental science.Since the late 1980s, the neglect of experiment by philosophers and historians of science has been replaced by a keen interest in the subject. In this volume, a number of prominent philosophers of experiment directly address basic theoretical questions, develop existing philosophical accounts, and offer novel perspectives on the subject, rather than rely exclusively on historical cases of experimental practice.Each essay examines one or more of six interconnected themes that run throughout the collection: the philosophical implications of actively and intentionally interfering with the material world while conducting experiments; issues of interpretation regarding causality; the link between science and technology; the role of theory in experimentation involving material and causal intervention; the impact of modeling and computer simulation on experimentation; and the philosophical implications of the design, operation, and use of scientific instruments. |
| design a psychology experiment: An Applied Guide to Research Designs W. Alex Edmonds, Thomas D. Kennedy, 2016-04-20 The Second Edition of An Applied Guide to Research Designs offers researchers in the social and behavioral sciences guidance for selecting the most appropriate research design to apply in their study. Using consistent terminology, the authors visually present a range of research designs used in quantitative, qualitative, and mixed methods to help readers conceptualize, construct, test, and problem solve in their investigation. The Second Edition features revamped and expanded coverage of research designs, new real-world examples and references, a new chapter on action research, and updated ancillaries. |
| design a psychology experiment: An Introduction to Experimental Design in Psychology Robert L. Solso, Homer H. Johnson, 1984 |
| design a psychology experiment: The Design of Experiments Sir Ronald Aylmer Fisher, 1974 |
| design a psychology experiment: Building Experiments in PsychoPy Jonathan Peirce, Rebecca Hirst, Michael MacAskill, 2022-01-12 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 |
| design a psychology experiment: Quasi-Experimental Research Designs Bruce A. Thyer, 2012-02-16 The role of group research designs to evaluate social work practice -- Pre-experimental group research designs -- Quasi-experimental group research designs -- Time-series research designs -- Evaluating and reporting quasi-experimental studies. |
| design a psychology experiment: Experimental Design in Psychological Research Allen Louis Edwards, 1950 |
| design a psychology experiment: An Introduction to Experimental Design in Psychology: a Case Approach Homer H. Johnson, Robert L. Solso, 1971 |
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