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experimenter bias in psychology: Activities for Teaching Statistics and Research Methods Jeffrey R. Stowell, William E. Addison, 2017 This book offers original, classroom-tested activities to teach high school and undergraduate students essential concepts in research methods and statistics. |
experimenter bias in psychology: Experimenter Effects in Behavioral Research Robert Rosenthal, 1976 |
experimenter bias in psychology: Thinking Off Your Feet Michael Strevens, 2019-01-07 Many philosophers believe they can gain knowledge about the world from the comfort of their armchairs, simply by reflecting on the nature of things. But how can the mind arrive at substantive knowledge of the world without seeking its input? Michael Strevens proposes an original defense of the armchair pursuit of philosophical knowledge, focusing on “the method of cases,” in which judgments about category membership—Does this count as causation? Does that count as the right action to take?—are used to test philosophical hypotheses about such matters as causality, moral responsibility, and beauty. Strevens argues that the method of cases is capable of producing reliable, substantial knowledge. His strategy is to compare concepts of philosophical things to concepts of natural kinds, such as water. Philosophical concepts, like natural kind concepts, do not contain the answers to philosophers’ questions; armchair philosophy therefore cannot be conceptual analysis. But just as natural kind concepts provide a viable starting point for exploring the nature of the material world, so philosophical concepts are capable of launching and sustaining fruitful inquiry into philosophical matters, using the method of cases. Agonizing about unusual “edge cases,” Strevens shows, can play a leading role in such discoveries. Thinking Off Your Feet seeks to reshape current debates about the nature of philosophical thinking and the methodological implications of experimental philosophy, to make significant contributions to the cognitive science of concepts, and to restore philosophy to its traditional position as an essential part of the human quest for knowledge. |
experimenter bias in psychology: Developing Theories of Mind Janet W. Astington, Paul L. Harris, David R. Olson, 1988 A collection of empirical reports and conceptual analyses written by leading researchers in an exciting new area of the cognitive sciences. The book examines a fundamental change that occurs in children's cognition between the ages of two and six. |
experimenter bias in psychology: Artifacts in Behavioral Research Robert Rosenthal, Ralph L. Rosnow, 2009-08-03 This new combination volume of three-books-in-one, dealing with the topic of artifacts in behavioral research, was designed as both introduction and reminder. It was designed as an introduction to the topic for graduate students, advanced undergraduates, and younger researchers. It was designed as a reminder to more experienced researchers, in and out of academia, that the problems of artifacts in behavioral research, that they may have learned about as beginning researchers, have not gone away. For example, problems of experimenter effects have not been solved. Experimenters still differ in the ways in which they see, interpret, and manipulate their data. Experimenters still obtain different responses from research participants (human or infrahuman) as a function of experimenters' states and traits of biosocial, psychosocial, and situational origins. Experimenters' expectations still serve too often as self-fulfilling prophecies, a problem that biomedical researchers have acknowledged and guarded against better than have behavioral researchers; e.g., many biomedical studies would be considered of unpublishable quality had their experimenters not been blind to experimental condition. Problems of participant or subject effects have also not been solved. We usually still draw our research samples from a population of volunteers that differ along many dimensions from those not finding their way into our research. Research participants are still often suspicious of experimenters' intent, try to figure out what experimenters are after, and are concerned about what the experimenter thinks of them. |
experimenter bias in psychology: Laboratory Experiments in the Social Sciences Murray Webster, Jane Sell, 2007-07-03 Laboratory Experiments in the Social Sciences is the only book providing core information for researchers about the ways and means to conduct experiments. Its comprehensive regard for laboratory experiments encompasses how-to explanations, investigations of philosophies and ethics, explorations of experiments in specific social science disciplines, and summaries of both the history and future of social science laboratories. No other book offers such a direct avenue to enlarging our knowledge in the social sciences.This collection of original chapters combines instructions and advice about the design of laboratory experiments in the social sciences with the array of other issues. While there are books on experimental design and chapters in more general methods books on design, theory, and ethical issues, no other book attempts to discuss the fundamental ideas of the philosophy of science or lays out the methods comprehensively or in such detail. Experimentation has recently prospered because of increasing interest in cross-disciplinary syntheses, and this book of advice, guidelines, and observations underline its potential and increasing importance.· Provides a comprehensive summary of issues in social science experimentation, from ethics to design, management, and financing· Offers how-to explanations of the problems and challenges faced by everyone involved in social science experiments· Pays attention to both practical problems and to theoretical and philosophical arguments· Defines commonalities and distinctions within and among experimental situations across the social sciences |
experimenter bias in psychology: Behind the Shock Machine Gina Perry, 2013-09-03 When social psychologist Stanley Milgram invited volunteers to take part in an experiment at Yale in the summer of 1961, none of the participants could have foreseen the worldwide sensation that the published results would cause. Milgram reported that fully 65 percent of the volunteers had repeatedly administered electric shocks of increasing strength to a man they believed to be in severe pain, even suffering a life-threatening heart condition, simply because an authority figure had told them to do so. Such behavior was linked to atrocities committed by ordinary people under the Nazi regime and immediately gripped the public imagination. The experiments remain a source of controversy and fascination more than fifty years later. In Behind the Shock Machine, psychologist and author Gina Perry unearths for the first time the full story of this controversial experiment and its startling repercussions. Interviewing the original participants—many of whom remain haunted to this day about what they did—and delving deep into Milgram's personal archive, she pieces together a more complex picture and much more troubling picture of these experiments than was originally presented by Milgram. Uncovering the details of the experiments leads her to question the validity of that 65 percent statistic and the claims that it revealed something essential about human nature. Fleshed out with dramatic transcripts of the tests themselves, the book puts a human face on the unwitting people who faced the moral test of the shock machine and offers a gripping, unforgettable tale of one man's ambition and an experiment that defined a generation. |
experimenter bias in psychology: Think Like a UX Researcher David Travis, Philip Hodgson, 2019-01-10 Think Like a UX Researcher will challenge your preconceptions about user experience (UX) research and encourage you to think beyond the obvious. You’ll discover how to plan and conduct UX research, analyze data, persuade teams to take action on the results and build a career in UX. The book will help you take a more strategic view of product design so you can focus on optimizing the user’s experience. UX Researchers, Designers, Project Managers, Scrum Masters, Business Analysts and Marketing Managers will find tools, inspiration and ideas to rejuvenate their thinking, inspire their team and improve their craft. Key Features A dive-in-anywhere book that offers practical advice and topical examples. Thought triggers, exercises and scenarios to test your knowledge of UX research. Workshop ideas to build a development team’s UX maturity. War stories from seasoned researchers to show you how UX research methods can be tailored to your own organization. |
experimenter bias in psychology: 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. |
experimenter bias in psychology: Running Behavioral Studies With Human Participants Frank E. Ritter, 2013 A practical, concrete road map to running research studies with human subjects. Covering both conceptual and practical issues critical to implementing a study with human participants, this book is organized to follow the standard process in experiment-based research, covering such issues as potential ethical problems, risks to validity, experimental setup, running a study, and concluding a study. The detailed guidance on each step of a study is ideal for anyone who has had little or no previous practical training in research methodology. The book's examples and sample forms are drawn from areas such as cognitive psychology, human factors, human-computer interaction, and human-robotic interaction. Key Features A coherent view of how to implement the experimental process, including detailed discussions of the setup and running of behavioral studies, gives you a practical guide for implementing your own experiments. Concrete examples speak to the diverse needs of the HCl, human factors, cognitive science, and related communities. Practical coverage of risks and problems that can be anticipated and avoided helps you recognize the ethical challenges you might encounter during the course of designing, running, or concluding a study. Three running example scenarios drawn from industrial and academic settings help you understand the major themes of each chapter. Example forms provide you with models you can use as you create your own experimental documents (such as IRB applications, experimental scripts, consent forms, and room layouts) to meet your particular research needs. Practical advice and examples of challenges associated with experimental setup and execution (such as how to set up experimental rooms, manage late or missing participants, and devise an effective experimental script) humanize key points in a memorable way, helping you recall the major points of the book. Built-in learning aids include further readings, an appendix on running studies online, questions at the end of each chapter, and publication paths and types that encourage you to take ownership of the research process and engage in research in a directed and methodical way. Book jacket. |
experimenter bias in psychology: Information Sampling and Adaptive Cognition Klaus Fiedler, Peter Juslin, 2006 This book proposes that environmental information samples are biased and cognitive processes are not. |
experimenter bias in psychology: Measuring Racial Discrimination National Research Council, Division of Behavioral and Social Sciences and Education, Committee on National Statistics, Panel on Methods for Assessing Discrimination, 2004-07-24 Many racial and ethnic groups in the United States, including blacks, Hispanics, Asians, American Indians, and others, have historically faced severe discriminationâ€pervasive and open denial of civil, social, political, educational, and economic opportunities. Today, large differences among racial and ethnic groups continue to exist in employment, income and wealth, housing, education, criminal justice, health, and other areas. While many factors may contribute to such differences, their size and extent suggest that various forms of discriminatory treatment persist in U.S. society and serve to undercut the achievement of equal opportunity. Measuring Racial Discrimination considers the definition of race and racial discrimination, reviews the existing techniques used to measure racial discrimination, and identifies new tools and areas for future research. The book conducts a thorough evaluation of current methodologies for a wide range of circumstances in which racial discrimination may occur, and makes recommendations on how to better assess the presence and effects of discrimination. |
experimenter bias in psychology: Experimental Thinking James N. Druckman, 2022-05-12 Experiments are a central methodology in the social sciences. Scholars from every discipline regularly turn to experiments. Practitioners rely on experimental evidence in evaluating social programs, policies, and institutions. This book is about how to “think” about experiments. It argues that designing a good experiment is a slow moving process (given the host of considerations) which is counter to the current fast moving temptations available in the social sciences. The book includes discussion of the place of experiments in the social science process, the assumptions underlying different types of experiments, the validity of experiments, the application of different designs, how to arrive at experimental questions, the role of replications in experimental research, and the steps involved in designing and conducting “good” experiments. The goal is to ensure social science research remains driven by important substantive questions and fully exploits the potential of experiments in a thoughtful manner. |
experimenter bias in psychology: 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. |
experimenter bias in psychology: Encyclopedia of Social Measurement Kimberly Kempf-Leonard, 2005 The Encyclopedia of Social Measurement captures the data, techniques, theories, designs, applications, histories, and implications of assigning numerical values to social phenomena. Responding to growing demands for transdisciplinary descriptions of quantitative and qualitative techniques, measurement, sampling, and statistical methods, it will increase the proficiency of everyone who gathers and analyzes data. Covering all core social science disciplines, the 300+ articles of the Encyclopedia of Social Measurement not only present a comprehensive summary of observational frameworks and mathematical models, but also offer tools, background information, qualitative methods, and guidelines for structuring the research process. Articles include examples and applications of research strategies and techniques, highlighting multidisciplinary options for observing social phenomena. The alphabetical arrangement of the articles, their glossaries and cross-references, and the volumes' detailed index will encourage exploration across the social sciences. Descriptions of important data sets and case studies will help readers understand resources they can often instantly access. Also available online via ScienceDirect - featuring extensive browsing, searching, and internal cross-referencing between articles in the work, plus dynamic linking to journal articles and abstract databases, making navigation flexible and easy. For more information, pricing options and availability visit www.info.sciencedirect.com. Introduces readers to the advantages and potential of specific techniques and suggests additional sources that readers can then consult to learn more Conveys a range of basic to complex research issues in sufficient detail to explain even the most complicated statistical technique. Readers are provided with references for further information Eleven substantive sections delineate social sciences and the research processes they follow to measure and provide new knowledge on a wide range of topics Authors are prominent scholars and methodologists from all social science fields Within each of the sections important components of quantitative and qualitative research methods are dissected and illustrated with examples from diverse fields of study Actual research experiences provide useful examples |
experimenter bias in psychology: Introduction to Educational Research W. Newton Suter, 2012 W. Newton Suter argues that what is important in a changing education landscape is the ability to think clearly about research methods, reason through complex problems and evaluate published research. He explains how to evaluate data and establish its relevance. |
experimenter bias in psychology: 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. |
experimenter bias in psychology: Cognitive Illusions Rüdiger F Pohl, 2012-12-06 Cognitive Illusions investigates a wide range of fascinating psychological effects in the way we think, judge and remember in our everyday lives. At the beginning of each chapter, leading researchers in the field introduce the background to phenomena such as illusions of control, overconfidence and hindsight bias. This is followed by an explanation of the experimental context in which these illusions can be investigated and a theoretical discussion drawing conclusions about the wider implications of these fallacy and bias effects. Written with researchers and instructors in mind, this tightly edited, reader-friendly text provides both an overview of research in the area and many lively pedagogic features such as chapter summaries, further reading lists and suggestions for classroom demonstrations. |
experimenter bias in psychology: Psychological Experiments on the Internet Michael H. Birnbaum, 2000-03-16 Until recently, most psychological research was conducted using subject samples in close proximity to the investigators--namely university undergraduates. In recent years, however, it has become possible to test people from all over the world by placing experiments on the internet. The number of people using the internet for this purpose is likely to become the main venue for subject pools in coming years. As such, learning about experiments on the internet will be of vital interest to all research psychologists. Psychological Experiments on the Internet is divided into three sections. Section I discusses the history of web experimentation, as well as the advantages, disadvantages, and validity of web-based psychological research. Section II discusses examples of web-based experiments on individual differences and cross-cultural studies. Section III provides readers with the necessary information and techniques for utilizing the internet in their own research designs. Innovative topic that will capture the imagination of many readers Includes examples of actual web based experiments |
experimenter bias in psychology: 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. |
experimenter bias in psychology: Developments in the Rorschach Technique Fields of Application; Bruno Klopeer, 2018-10-15 This work has been selected by scholars as being culturally important and is part of the knowledge base of civilization as we know it. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. To ensure a quality reading experience, this work has been proofread and republished using a format that seamlessly blends the original graphical elements with text in an easy-to-read typeface. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant. |
experimenter bias in psychology: Introduction to Behavioral Research on the Internet Michael H. Birnbaum, 2001 Title on accompanying CD-ROM: Behavioral research on the Internet. |
experimenter bias in psychology: Introducing Research and Data in Psychology Ann Searle, 2002-01-04 Introducing Research and Data in Psychology shows how research design and data analysis are attainable and useful skills. It introduces both experimental and non-experimental methods of research and the analysis of data using both descriptive and inferential statistics. The uses, interpretation and calculation of common two sample statistical tests are explained. This comprehensive textbook includes the following designed features to help with technique: * Practice exam answers to show how to achieve a higher grade * Chapter summaries * Glossary * Case studies and examples * Exercises and a full bibliography |
experimenter bias in psychology: Good Research Practice in Non-Clinical Pharmacology and Biomedicine Anton Bespalov, Martin C. Michel, Thomas Steckler, 2020-01-01 This open access book, published under a CC BY 4.0 license in the Pubmed indexed book series Handbook of Experimental Pharmacology, provides up-to-date information on best practice to improve experimental design and quality of research in non-clinical pharmacology and biomedicine. |
experimenter bias in psychology: The SAGE Handbook of Quantitative Methods in Psychology Roger E Millsap, Alberto Maydeu-Olivares, 2009-08-05 `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. |
experimenter bias in psychology: Obedience to Authority Stanley Milgram, 2017-07-11 A special edition reissue of the landmark study of humanity’s susceptibility to authoritarianism. In the 1960s Yale University psychologist Stanley Milgram famously carried out a series of experiments that forever changed our perceptions of morality and free will. The subjects—or “teachers”—were instructed to administer electroshocks to a human “learner,” with the shocks becoming progressively more powerful and painful. Controversial but now strongly vindicated by the scientific community, these experiments attempted to determine to what extent people will obey orders from authority figures regardless of consequences. “Milgram’s experiments on obedience have made us more aware of the dangers of uncritically accepting authority,” wrote Peter Singer in the New York Times Book Review. Featuring a new introduction from Dr. Philip Zimbardo, who conducted the famous Stanford Prison Experiment, Obedience to Authority is Milgram’s fascinating and troubling chronicle of his classic study and a vivid and persuasive explanation of his conclusions . . . A part of Harper Perennial’s special “Resistance Library” highlighting classic works that illuminate our times The inspiration for the major motion picture Experimenter |
experimenter bias in psychology: The Perception of People and Events Peter B. Warr, Christopher Knapper, 1968 |
experimenter bias in psychology: Cognitive Neuroscience and Psychotherapy Warren Tryon, 2014-03-22 Cognitive Neuroscience and Psychotherapy provides a bionetwork theory unifying empirical evidence in cognitive neuroscience and psychopathology to explain how emotion, learning, and reinforcement affect personality and its extremes. The book uses the theory to explain research results in both disciplines and to predict future findings, as well as to suggest what the theory and evidence say about how we should be treating disorders for maximum effectiveness. While theoretical in nature, the book has practical applications, and takes a mathematical approach to proving its own theorems. The book is unapologetically physical in nature, describing everything we think and feel by way of physical mechanisms and reactions in the brain. This unique marrying of cognitive neuroscience and clinical psychology provides an opportunity to better understand both. - Unifying theory for cognitive neuroscience and clinical psychology - Describes the brain in physical terms via mechanistic processes - Systematically uses the theory to explain empirical evidence in both disciplines - Theory has practical applications for psychotherapy - Ancillary material may be found at: http://booksite.elsevier.com/9780124200715 including an additional chapter and supplements |
experimenter bias in psychology: 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. |
experimenter bias in psychology: Introducing Psychological Research Philip Banyard, Andrew Grayson, 1996 Introducing Psychological Research provides readable and full summaries of over sixty major research studies in psychology. These illustrate the major themes of the subject and the major methodologies that psychologists use. The summaries provide enough detail for readers to make their own evaluation of the quality of the research and the conclusions that can be drawn from it. They are the next best thing to reading the original papers, often written in very dense academic style, and provide a readable and accessible account of some famous psychological studies - warts and all |
experimenter bias in psychology: The Handbook of School Psychology Terry B. Gutkin, Cecil R. Reynolds, 2012-04-13 The Fourth Edition of The Handbook of School Psychology continues the tradition of providing a unique and comprehensive outlet for disseminating the collective wisdom and insight of outstanding scholars working in the field of school psychology. This edition brings together the field's latest developments in research and practice, highlighting domains in which there has emerged both growing consensus and vibrant cross currents of thought and analysis. Featuring chapters with new foci, authors, and content, this edition showcases the trajectory of the field and is intended to lead students forward into an increasingly challenging and rewarding future. |
experimenter bias in psychology: Learning Statistics with R Daniel Navarro, 2013-01-13 Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com |
experimenter bias in psychology: The Volunteer Subject Robert Rosenthal, Ralph L. Rosnow, 1975 |
experimenter bias in psychology: A Study of Experimenter Bias and Subject Awareness as Demand Characteristic Artifacts in Attitude Change Experiments Keith A. Miller, 1970 |
experimenter bias in psychology: The Power of Belief Peter W. Halligan, Mansel Aylward, 2006 Examining the influence and power of beliefs in medicine, this text looks at key theories in the context of aetiology, treatment and recovery, for both the clinician and the patient. |
experimenter bias in psychology: Research Methods in Human Development Paul C. Cozby, Patricia E. Worden, Daniel W. Kee, 1989 For undergradute social science majors. A textbook on the interpretation and use of research. Annotation copyright Book News, Inc. Portland, Or. |
experimenter bias in psychology: Reducing Intergroup Bias Samuel L. Gaertner, John F. Dovidio, 2014-04-04 Considers situations and interventions that can foster more inclusive representation and ways, both theoretically and practically, and that a common ingroup identity can facilitate more harmonious intergroup relations. |
experimenter bias in psychology: Research in Psychology Kerri A. Goodwin, C. James Goodwin, 2016-12-08 An approachable, coherent, and important text, Research in Psychology: Methods and Design, 8th Edition continues to provide its readers with a clear, concise look at psychological science, experimental methods, and correlational research in this newly updated version. Rounded out with helpful learning aids, step-by-step instructions, and detailed examples of real research studies makes the material easy to read and student-friendly. |
experimenter bias in psychology: 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. |
experimenter bias in psychology: Forensic Victimology Brent E. Turvey, 2013-08-08 Published in 2009, the first edition of Forensic Victimology introduced criminologists and criminal investigators to the idea of systematically gathering and examining victim information for the purposes of addressing investigative and forensic issues. The concepts presented within immediately proved vital to social scientists researching victims-offender relationships; investigators and forensic scientists seeking to reconstruct events and establish the elements of a crime; and criminal profilers seeking to link pattern crimes. This is because the principles and guidelines in Forensic Victimology were written to serve criminal investigation and anticipate courtroom testimony. As with the first, this second edition of Forensic Victimology is an applied presentation of a traditionally theoretical subject written by criminal justice practitioners with years of experience-both in the field and in the classroom. It distinguishes the investigative and forensic aspects of applied victim study as necessary adjuncts to what has often been considered a theoretical field. It then identifies the benefits of forensic victimology to casework, providing clearly defined methods and those standards of practice necessary for effectively serving the criminal justice system. - 30% new content, with new chapters on Emergency Services, False Confessions, and Human Trafficking - Use of up-to-date references and case examples to demonstrate the application of forensic victimology - Provides context and scope for both the investigative and forensic aspects of case examination and evidence interpretation - Approaches the study of victimology from a realistic standpoint, moving away from stereotypes and archetypes - Useful for students and professionals working in relation to behavioral science, criminology, criminal justice, forensic science, and criminal investigation |
ON THE SOCIAL PSYCHOLOGY OF THE PSYCHOLOGICAL …
More specifically we will consider E outcome-orientation bias; that is, the notion that Es ob tain from their Ss, human or animal, the data they want and/or expect to obtain (Rosenthal, 1956). …
Post-lecture Notes II.6 Other Threats to Interval Validity
What is experimenter bias (in general) and why does it threaten internal validity? When does experimenter bias occur? What’s the best way to reduce or eliminate the possibility of …
The effect of experimenter bias on the performance of the
the literature of “experimental” psychology and to a much greater extent in informal communications among experimental psy- chologists. Fattu and Mech (1953, p. 154) state: …
Some Basic Threats to Experimental Validity - Statpower
Experimenter Bias The typical way of protecting against experimenter bias is to use randomization with Double Blind Controls, in which the subject does not know what group he/she is in, and …
Demand Effects in Survey Experiments: An Empirical Assessment
We randomly assign participants information about experimenter fi intent and show that providing this information does not alter the treatment effects in these experiments. Even nancial …
EXPERIMENTER BIAS AND SUBLIMINAL PERCEPTION BY PAUL …
The most extreme form of the present experimenter-bias hypothesis states that there will be no subliminal perception effect except when, in some relevant sense, the experimenter is not blind …
The “False Consensus Effect”: An Egocentric Bias in Social
The source of attributional bias that we shall consider in the present paper directly involves the probability estimates made by intuitive psychologists. Specifically, we shall report research …
Construct Validation of Experimental Manipulations in Social …
Experimental manipulations in social psychology must exhibit construct validity by influencing their intended psychological constructs. Yet how do experimenters in social psychology attempt to …
Low Hopes, High Expectations: Expectancy © The Author(s) …
This article revisits two classical issues in experimental methodology: experimenter bias and demand characteristics. We report a content analysis of the method section of experiments …
Effects of experimenter behaviors on participants' mood
Nov 12, 2024 · experimenter was dressed like a college student compared to more formal, laboratory attire (Edlund et al., 2014). In a study on implicit bias, the identity of the …
The Gender Effect in the Laboratory. Experimenter Bias and …
We find that the presence of a female experimenter influences positively trust and reciprocity. This result supports the hypothesis that women are perceived as less selfish than men. JEL …
Experimenter Bias - REBOOT FOUNDATION
Experimenter bias is when a researcher or scientist introduces bias into an experiment. Some examples of experimenter bias include manipulating results by choosing groups who act in a …
BIASING EFFECTS OF EXPERIMENTERS - JSTOR
To the extent that we hope for dependable knowledge in psychology and the behavioral sciences generally, we must have dependable knowledge about the experimenter-subject interaction …
The experimenter bias effect: A failure to replicate - Springer
The present study attempted to replic!ate the E-bias effect using Rosenthal's (1966) basic paradigm, examine the relationship between E-bias and Ss' perception of Es' expectancies, …
A LONGITUDINAL STUDY OF THE EFFECTS OF EXPERIMENTER …
EXPERIMENTER BIAS ON THE OPERANT LEARNING OF LABORATORY RATS* ROBERT ROSENTHAL and REED LAWSON Dept. of Social Relations, Harvard University, Cambridge, …
Post-lecture Notes III.2 Observational Studies
The (non-standard) type of experimenter bias that can occur in any and all observational studies is “observer bias” – when the beliefs and/or expectancies of the observer end up influencing …
College Sophomores in the Laboratory: Influences of a Narrow …
This article suggests that social psychology has risked such biases because of its heavy dependence during the past 25 years on a very narrow data base: college student subjects …
Experimenter bias: exploring the interaction between
This study explores the eect of the experimenter’s gender/sex and its interaction with the participant’s gender/sex as poten-tial contributors to the replicability crisis, particularly in the …
Experimenter Philosophy: the Problem of Experimenter Bias …
Experimenter bias refers to experimenters’ (often unconscious) disposition to obtain an empirical result that they are looking for, even when that result does not necessarily reflect the truth. The …
ON THE SOCIAL PSYCHOLOGY OF THE PSYCHOLOGICAL …
More specifically we will consider E outcome-orientation bias; that is, the notion that Es ob tain from their Ss, human or animal, the data they want and/or expect to obtain (Rosenthal, 1956). …
Post-lecture Notes II.6 Other Threats to Interval Validity
What is experimenter bias (in general) and why does it threaten internal validity? When does experimenter bias occur? What’s the best way to reduce or eliminate the possibility of …
The effect of experimenter bias on the performance of the
the literature of “experimental” psychology and to a much greater extent in informal communications among experimental psy- chologists. Fattu and Mech (1953, p. 154) state: …
Some Basic Threats to Experimental Validity - Statpower
Experimenter Bias The typical way of protecting against experimenter bias is to use randomization with Double Blind Controls, in which the subject does not know what group he/she is in, and …
Demand Effects in Survey Experiments: An Empirical Assessment
We randomly assign participants information about experimenter fi intent and show that providing this information does not alter the treatment effects in these experiments. Even nancial …
EXPERIMENTER BIAS AND SUBLIMINAL PERCEPTION BY …
The most extreme form of the present experimenter-bias hypothesis states that there will be no subliminal perception effect except when, in some relevant sense, the experimenter is not …
The “False Consensus Effect”: An Egocentric Bias in Social
The source of attributional bias that we shall consider in the present paper directly involves the probability estimates made by intuitive psychologists. Specifically, we shall report research …
Construct Validation of Experimental Manipulations in Social …
Experimental manipulations in social psychology must exhibit construct validity by influencing their intended psychological constructs. Yet how do experimenters in social psychology attempt to …
Low Hopes, High Expectations: Expectancy © The Author(s) …
This article revisits two classical issues in experimental methodology: experimenter bias and demand characteristics. We report a content analysis of the method section of experiments …
Chapter 7 Experimenter Bias - Springer
experimenter is supposed to be following a rigidly standardized protocol-but he or she may in fact be deviating unconsiciously from the "script" because of expectations derived from the …
Effects of experimenter behaviors on participants' mood
Nov 12, 2024 · experimenter was dressed like a college student compared to more formal, laboratory attire (Edlund et al., 2014). In a study on implicit bias, the identity of the …
The Gender Effect in the Laboratory. Experimenter Bias …
We find that the presence of a female experimenter influences positively trust and reciprocity. This result supports the hypothesis that women are perceived as less selfish than men. JEL …
Experimenter Bias - REBOOT FOUNDATION
Experimenter bias is when a researcher or scientist introduces bias into an experiment. Some examples of experimenter bias include manipulating results by choosing groups who act in a …
BIASING EFFECTS OF EXPERIMENTERS - JSTOR
To the extent that we hope for dependable knowledge in psychology and the behavioral sciences generally, we must have dependable knowledge about the experimenter-subject interaction …
The experimenter bias effect: A failure to replicate - Springer
The present study attempted to replic!ate the E-bias effect using Rosenthal's (1966) basic paradigm, examine the relationship between E-bias and Ss' perception of Es' expectancies, …
A LONGITUDINAL STUDY OF THE EFFECTS OF …
EXPERIMENTER BIAS ON THE OPERANT LEARNING OF LABORATORY RATS* ROBERT ROSENTHAL and REED LAWSON Dept. of Social Relations, Harvard University, Cambridge, …
Post-lecture Notes III.2 Observational Studies
The (non-standard) type of experimenter bias that can occur in any and all observational studies is “observer bias” – when the beliefs and/or expectancies of the observer end up influencing …
College Sophomores in the Laboratory: Influences of a …
This article suggests that social psychology has risked such biases because of its heavy dependence during the past 25 years on a very narrow data base: college student subjects …
Experimenter bias: exploring the interaction between
This study explores the eect of the experimenter’s gender/sex and its interaction with the participant’s gender/sex as poten-tial contributors to the replicability crisis, particularly in the …