Principles and Methods of Social Research

Total Page:16

File Type:pdf, Size:1020Kb

Principles and Methods of Social Research PRINCIPLES AND METHODS OF SOCIAL RESEARCH Used to train generations of social scientists, this thoroughly updated classic text covers the latest research tech- niques and designs. Applauded for its comprehensive coverage, the breadth and depth of content is unparalleled. Through a multi-methodology approach, the text guides readers toward the design and conduct of social research from the ground up. Explained with applied examples useful to the social, behavioral, educational, and organiza- tional sciences, the methods described are intended to be relevant to contemporary researchers. The underlying logic and mechanics of experimental, quasi-experimental, and nonexperimental research strategies are discussed in detail. Introductory chapters covering topics such as validity and reliability furnish readers with a fi rm understanding of foundational concepts. Chapters dedicated to sampling, interviewing, questionnaire design, stimulus scaling, observational methods, content analysis, implicit measures, dyadic and group methods, and meta- analysis provide coverage of these essential methodologies. The book is noted for its: • Emphasis on understanding the principles that govern the use of a method to facilitate the researcher’s choice of the best technique for a given situation. • Use of the laboratory experiment as a touchstone to describe and evaluate field experiments, correlational designs, quasi experiments, evaluation studies, and survey designs. • Coverage of the ethics of social research, including the power a researcher wields and tips on how to use it responsibly. The new edition features: • A new co-author, Andrew Lac, instrumental in fine-tuning the book’s accessible approach and highlighting the most recent developments at the intersection of design and statistics. • More learning tools, including more explanation of the basic concepts, more research examples, tables, and figures, and the addition of boldfaced terms, chapter conclusions, discussion questions, and a glossary. • Extensive revision of Chapter 3 on measurement reliability theory that examines test theory, latent factors, factor analysis, and item response theory. • Expanded coverage of cutting-edge methodologies, including mediation and moderation, reliability and validity, missing data, and more physiological approaches such as neuroimaging and fMRIs. • A new web-based resource package that features PowerPoint presentations and discussion and exam ques- tions for each chapter and, for students, chapter outlines and summaries, key terms, and suggested readings. Intended as a text for graduate or advanced undergraduate courses in research methods (design) in psychology, communication, sociology, education, public health, and marketing, an introductory undergraduate course on research methods is recommended. William D. Crano is the Oskamp Distinguished Chair and Head of the Department of Psychology at Clare- mont Graduate University. Marilynn B. Brewer is Professor Emeritus at The Ohio State University and a Visiting Professor of Psychol- ogy at the University of New South Wales. Andrew Lac is Research Professor of Psychology at Claremont Graduate University. This page intentionally left blank PRINCIPLES AND METHODS OF SOCIAL RESEARCH Third Edition William D. Crano, Marilynn B. Brewer, and Andrew Lac Third edition published 2015 by Routledge 711 Third Avenue, New York, NY 10017 and by Routledge 27 Church Road, Hove, East Sussex BN3 2FA Routledge is an imprint of the Taylor & Francis Group, an informa business © 2015 Taylor & Francis The right of William D. Crano, Marilynn B. Brewer, and Andrew Lac to be identifi ed as the authors of this work has been asserted by them in accordance with sections 77 and 78 of the Copyright, Designs and Patents Act 1988. All rights reserved. No part of this book may be reprinted or reproduced or utilised in any form or by any electronic, mechanical, or other means, now known or hereafter invented, including photocopying and recording, or in any information storage or retrieval system, without permission in writing from the publishers. Trademark notice: Product or corporate names may be trademarks or registered trademarks, and are used only for identifi cation and explanation without intent to infringe. First edition published by Allyn & Bacon 1986 Second edition published by Lawrence Erlbaum Associates, Inc. 2002 Library of Congress Cataloging-in-Publication Data Crano, William D., 1942– Principles and methods of social research / William D. Crano, Marilynn B. Brewer, Andrew Lac. — Third edition. pages cm 1. Social sciences—Research. 2. Social sciences—Methodology. I. Brewer, Marilynn B., 1942– II. Lac, Andrew. III. Title. H62.C692 2014 300.72—dc23 2014012586 ISBN: 978-0-415-63855-5 (hbk) ISBN: 978-0-415-63856-2 (pbk) ISBN: 978-1-315-76831-1 (ebk) Typeset in Bembo by Apex CoVantage, LLC CONTENTS Preface xi Acknowledgements xvii About the Authors xix PART I Introduction to Social Research Methods 1 1 Basic Concepts 3 Science and Daily Life 4 Theories and Hypotheses 5 From Theory, Concept, or Idea to Operation 6 Role of Theory in Scientifi c Inquiry 15 Conclusion and Overview 18 Questions for Discussion 19 References 19 2 Internal and External Validity 22 Causation 23 Phases of Research 25 Distinguishing Internal and External Validity 27 Basic Issues of Internal Validity 31 Basic Issues of External Validity 39 Conclusion 41 Questions for Discussion 42 References 43 3 Measurement Reliability 45 Classical Test Theory 45 Contemporary Test Theory 53 Conclusion 61 vi Contents Questions for Discussion 62 References 62 4 Measurement Validity 64 Types of Measurement Validity 65 Threats to Measurement Validity 74 Conclusion 78 Questions for Discussion 78 References 78 PART II Research Design Strategies: Experiments, Quasi-Experiments, and Nonexperiments 81 5 Designing Experiments: Variations on the Basics 83 Basic Variations in Experimental Design 83 Expanding the Number of Experimental Treatments 86 Blocked Designs: Incorporating a Nonexperimental Factor 94 Repeated-Measures Designs and Counterbalancing 96 Conclusion 98 Questions for Discussion 99 References 99 6 Constructing Laboratory Experiments 101 Steps for Constructing an Experiment 101 Types of Experimental Manipulations 104 Manipulation Checks 109 Assignment of Participants to Conditions: Randomization Procedures 110 Realism in an Experiment 111 Social Simulations and Analogue Experiments 112 Conclusion 120 Questions for Discussion 120 References 121 7 External Validity of Laboratory Experiments 125 Generalizability Across Participants 126 Experimenter Expectancy and Bias 131 Three Faces of External Validity 135 Conclusion 138 Questions for Discussion 138 References 139 8 Conducting Experiments Outside the Laboratory 141 Research Settings and Issues of Validity 142 Constructing a Field Experiment 143 The Internet as a Site for Experimental Research 149 Conclusion 155 Questions for Discussion 155 References 156 Contents vii 9 Nonexperimental Research: Correlational Design and Analyses 159 Analyzing and Interpreting Nonexperimental Research 160 Multiple Regression 166 Uses and Misuses of Correlational Analysis 167 Multi-Level Models 170 Structural Equation Models 172 Conclusion 181 Questions for Discussion 182 References 183 10 Quasi-Experiments and Evaluation Research 185 Program Evaluation Research 186 Quasi-Experimental Methods 189 Use of Archival Data in Longitudinal Research 211 Conclusion 213 Questions for Discussion 213 References 213 PART III Data Collecting Methods 217 11 Survey Studies: Design and Sampling 219 Selection vs. Assignment 219 Random Sampling 224 Nonrandom Sampling 233 More Sampling Issues 236 Types of Survey Studies 241 Missing Data 244 Conclusion 246 Questions for Discussion 246 References 247 12 Systematic Observational Methods 250 Three Aspects of Naturalism 250 Observer Involvement in the Naturalistic Setting: The Participatory– Nonparticipatory Distinction 253 Coding Observations 260 Conclusion 274 Questions for Discussion 275 References 276 13 Interviewing 280 Modes of Administration: Face-to-Face and Telephone 280 Developing the Interview 281 Interview Structure 286 Conducting the Interview 290 Interviewer Characteristics: Establishing Rapport 293 Group Interviews and Focus Groups 296 Conclusion 298 viii Contents Questions for Discussion 298 References 299 14 Content Analysis 303 Conducting a Content Analysis 304 Representative Examples 314 Conclusion 319 Questions for Discussion 319 References 320 15 Questionnaire Design and Scale Construction 323 Questionnaires 323 Constructing Rating Scales 326 Conclusion 338 Questions for Discussion 338 References 339 16 Indirect and Implicit Measures of Cognition and Affect 342 Indirect Measures 343 Information Processing: Attention and Memory 344 Priming: Processing Without Awareness or Intent 350 Social Psychophysiology: Physiological Traces of Affect and Cognitive Processing 358 Conclusion 363 Questions for Discussion 364 References 366 17 Scaling Stimuli: Social Psychophysics 370 Scaling Stimuli 371 Techniques for Stimulus Scaling 372 Multidimensional Scaling Models 377 Conclusion 382 Questions for Discussion 382 References 383 18 Methods for Assessing Dyads and Groups 385 Dyadic Designs 385 Deriving Dyadic and Group Level Variables 387 Designs to Study Group Structures 391 Designs to Study Multiple Groups 396 Measuring Group Process and Outcomes 398 Conclusion 402 Questions for Discussion 402 References 403 Contents ix PART IV Concluding Perspectives 407 19 Synthesizing Research Results: Meta-Analysis
Recommended publications
  • A Neural Network Framework for Cognitive Bias
    fpsyg-09-01561 August 31, 2018 Time: 17:34 # 1 HYPOTHESIS AND THEORY published: 03 September 2018 doi: 10.3389/fpsyg.2018.01561 A Neural Network Framework for Cognitive Bias Johan E. Korteling*, Anne-Marie Brouwer and Alexander Toet* TNO Human Factors, Soesterberg, Netherlands Human decision-making shows systematic simplifications and deviations from the tenets of rationality (‘heuristics’) that may lead to suboptimal decisional outcomes (‘cognitive biases’). There are currently three prevailing theoretical perspectives on the origin of heuristics and cognitive biases: a cognitive-psychological, an ecological and an evolutionary perspective. However, these perspectives are mainly descriptive and none of them provides an overall explanatory framework for the underlying mechanisms of cognitive biases. To enhance our understanding of cognitive heuristics and biases we propose a neural network framework for cognitive biases, which explains why our brain systematically tends to default to heuristic (‘Type 1’) decision making. We argue that many cognitive biases arise from intrinsic brain mechanisms that are fundamental for the working of biological neural networks. To substantiate our viewpoint, Edited by: we discern and explain four basic neural network principles: (1) Association, (2) Eldad Yechiam, Technion – Israel Institute Compatibility, (3) Retainment, and (4) Focus. These principles are inherent to (all) neural of Technology, Israel networks which were originally optimized to perform concrete biological, perceptual, Reviewed by: and motor functions. They form the basis for our inclinations to associate and combine Amos Schurr, (unrelated) information, to prioritize information that is compatible with our present Ben-Gurion University of the Negev, Israel state (such as knowledge, opinions, and expectations), to retain given information Edward J.
    [Show full text]
  • Heuristics and Biases the Psychology of Intuitive Judgment. In
    P1: FYX/FYX P2: FYX/UKS QC: FCH/UKS T1: FCH CB419-Gilovich CB419-Gilovich-FM May 30, 2002 12:3 HEURISTICS AND BIASES The Psychology of Intuitive Judgment Edited by THOMAS GILOVICH Cornell University DALE GRIFFIN Stanford University DANIEL KAHNEMAN Princeton University iii P1: FYX/FYX P2: FYX/UKS QC: FCH/UKS T1: FCH CB419-Gilovich CB419-Gilovich-FM May 30, 2002 12:3 published by the press syndicate of the university of cambridge The Pitt Building, Trumpington Street, Cambridge, United Kingdom cambridge university press The Edinburgh Building, Cambridge CB2 2RU, UK 40 West 20th Street, New York, NY 10011-4211, USA 477 Williamstown, Port Melbourne, VIC 3207, Australia Ruiz de Alarcon´ 13, 28014, Madrid, Spain Dock House, The Waterfront, Cape Town 8001, South Africa http://www.cambridge.org C Cambridge University Press 2002 This book is in copyright. Subject to statutory exception and to the provisions of relevant collective licensing agreements, no reproduction of any part may take place without the written permission of Cambridge University Press. First published 2002 Printed in the United States of America Typeface Palatino 9.75/12.5 pt. System LATEX2ε [TB] A catalog record for this book is available from the British Library. Library of Congress Cataloging in Publication data Heuristics and biases : the psychology of intuitive judgment / edited by Thomas Gilovich, Dale Griffin, Daniel Kahneman. p. cm. Includes bibliographical references and index. ISBN 0-521-79260-6 – ISBN 0-521-79679-2 (pbk.) 1. Judgment. 2. Reasoning (Psychology) 3. Critical thinking. I. Gilovich, Thomas. II. Griffin, Dale III. Kahneman, Daniel, 1934– BF447 .H48 2002 153.4 – dc21 2001037860 ISBN 0 521 79260 6 hardback ISBN 0 521 79679 2 paperback iv P1: FYX/FYX P2: FYX/UKS QC: FCH/UKS T1: FCH CB419-Gilovich CB419-Gilovich-FM May 30, 2002 12:3 Contents List of Contributors page xi Preface xv Introduction – Heuristics and Biases: Then and Now 1 Thomas Gilovich and Dale Griffin PART ONE.
    [Show full text]
  • I Correlative-Based Fallacies
    Fallacies In Argument 本文内容均摘自 Wikipedia,由 ode@bdwm 编辑整理,请不要用于商业用途。 为方便阅读,删去了原文的 references,见谅 I Correlative-based fallacies False dilemma The informal fallacy of false dilemma (also called false dichotomy, the either-or fallacy, or bifurcation) involves a situation in which only two alternatives are considered, when in fact there are other options. Closely related are failing to consider a range of options and the tendency to think in extremes, called black-and-white thinking. Strictly speaking, the prefix "di" in "dilemma" means "two". When a list of more than two choices is offered, but there are other choices not mentioned, then the fallacy is called the fallacy of false choice. When a person really does have only two choices, as in the classic short story The Lady or the Tiger, then they are often said to be "on the horns of a dilemma". False dilemma can arise intentionally, when fallacy is used in an attempt to force a choice ("If you are not with us, you are against us.") But the fallacy can arise simply by accidental omission—possibly through a form of wishful thinking or ignorance—rather than by deliberate deception. When two alternatives are presented, they are often, though not always, two extreme points on some spectrum of possibilities. This can lend credence to the larger argument by giving the impression that the options are mutually exclusive, even though they need not be. Furthermore, the options are typically presented as being collectively exhaustive, in which case the fallacy can be overcome, or at least weakened, by considering other possibilities, or perhaps by considering a whole spectrum of possibilities, as in fuzzy logic.
    [Show full text]
  • Tocqueville's Faith Thia J
    That millions of animals are cut, burnedl poisoned and abused every year in the name of science; 0 That the National Anti-Vivisection Society's progressive programs work to eliminate cruel and wasteful research while developing with scientists alternatives to the use of animals in research, education and product testing; That you can join our quest for humane solutions to human problems and learn more about this important issue by contacting us now. National Anti-Vivisectio~i Society 53 W. Jackson/ #I 552, Chicago! IL 60604 Individual Membership ........$15 I want to join the NAVS quest Family Membership ...........$25 Name 7 =l Life Benefactor .............$100 Address ? StudentISenior Membership ....$10 Cityl ST, Zip 2 2 SPRING 1991 THE WILSON QUARTERLY Published by the Woodrow Wilson International Center for Scholars COVER STORY THEMORMONS PROGRESS 22 In the 19th century they were pariahs who turned American values up- side-down: The Mormons substituted communalism for individualism, theocracy for democracy, and polygamy for monogamy. In the 20th century, they became champions of capitalism and the American Dream-and one of the most prosperous and fastest-growing religions in the world. Malise Ruthven charts the Mormons' amazing metamor- phosis. Now that they have survived every adversity, he asks, will suc- cess prove the Mormons' undoing? RETHINKINGTHE ENVIRONMENT 60 We're all environmentalists now, according to the pollsters. Yet Ameri- cans are profoundly confused about the environment. Ancient myths about nature hamper our thinking, writes Daniel B. Botkin; all-too- modern alarmism distorts our policies, says Stephen &idman. IDEAS THE'HOT HAND'AND OTHERILLUSIONS OF 52 EVERYDAYLIFE The human mind's ceaseless quest for order frequently leads us to erro- neous beliefs: in ES< in streak shooting, and in other, far less amusing things.
    [Show full text]
  • Appendix 1 a Great Big List of Fallacies
    Why Brilliant People Believe Nonsense Appendix 1 A Great Big List of Fallacies To avoid falling for the "Intrinsic Value of Senseless Hard Work Fallacy" (see also "Reinventing the Wheel"), I began with Wikipedia's helpful divisions, list, and descriptions as a base (since Wikipedia articles aren't subject to copyright restrictions), but felt free to add new fallacies, and tweak a bit here and there if I felt further explanation was needed. If you don't understand a fallacy from the brief description below, consider Googling the name of the fallacy, or finding an article dedicated to the fallacy in Wikipedia. Consider the list representative rather than exhaustive. Informal fallacies These arguments are fallacious for reasons other than their structure or form (formal = the "form" of the argument). Thus, informal fallacies typically require an examination of the argument's content. • Argument from (personal) incredulity (aka - divine fallacy, appeal to common sense) – I cannot imagine how this could be true, therefore it must be false. • Argument from repetition (argumentum ad nauseam) – signifies that it has been discussed so extensively that nobody cares to discuss it anymore. • Argument from silence (argumentum e silentio) – the conclusion is based on the absence of evidence, rather than the existence of evidence. • Argument to moderation (false compromise, middle ground, fallacy of the mean, argumentum ad temperantiam) – assuming that the compromise between two positions is always correct. • Argumentum verbosium – See proof by verbosity, below. • (Shifting the) burden of proof (see – onus probandi) – I need not prove my claim, you must prove it is false. • Circular reasoning (circulus in demonstrando) – when the reasoner begins with (or assumes) what he or she is trying to end up with; sometimes called assuming the conclusion.
    [Show full text]
  • Module 2: the (Un)Reliability of Clinical and Actuarial Predictions of (Dangerous) Behavior
    Module 2: The (Un)reliability of Clinical and Actuarial Predictions of (Dangerous) Behavior I would not say that the future is necessarily less predictable than the past. I think the past was not predictable when it started. { Donald Rumsfeld Abstract: The prediction of dangerous and/or violent behavior is important to the conduct of the United States justice system in making decisions about restrictions of personal freedom such as pre- ventive detention, forensic commitment, or parole. This module dis- cusses behavioral prediction both through clinical judgement as well as actuarial assessment. The general conclusion drawn is that for both clinical and actuarial prediction of dangerous behavior, we are far from a level of accuracy that could justify routine use. To support this later negative assessment, two topic areas are discussed at some length: 1) the MacArthur Study of Mental Disorder and Violence, including the actuarial instrument developed as part of this project (the Classification of Violence Risk (COVR)), along with all the data collected that helped develop the instrument; 2) the Supreme Court case of Barefoot v. Estelle (1983) and the American Psychiatric As- sociation \friend of the court" brief on the (in)accuracy of clinical prediction for the commission of future violence. An elegant Justice Blackmun dissent is given in its entirety that contradicts the majority decision that held: There is no merit to petitioner's argument that psychiatrists, individually and as a group, are incompetent to predict with an acceptable degree of reliability that a particular criminal will 1 commit other crimes in the future, and so represent a danger to the community.
    [Show full text]
  • Empirical Investigations Into the Characteristics and Determinants of the Growth of Firms Alex Coad
    Empirical investigations into the characteristics and determinants of the growth of firms Alex Coad To cite this version: Alex Coad. Empirical investigations into the characteristics and determinants of the growth of firms. Economics and Finance. Université Panthéon-Sorbonne - Paris I, 2007. English. tel-00163394 HAL Id: tel-00163394 https://tel.archives-ouvertes.fr/tel-00163394 Submitted on 17 Jul 2007 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. UNIVERSITE PARIS 1 PANTHEON-SORBONNE SANT’ANNA SCHOOL OF ADVANCED STUDIES ECOLE DOCTORALE DOCTORAT SCIENCES ECONOMIQUES COAD, Alexander Jean-Luc EMPIRICAL INVESTIGATIONS INTO THE CHARACTERISTICS AND DETERMINANTS OF THE GROWTH OF FIRMS Thèse dirigée par: Bernard PAULRE (Univ. Paris 1 Panthéon-Sorbonne) Giovanni DOSI (Sant’Anna School of Advanced Studies, Pisa) Soutenue à Paris le 23 avril 2007 JURY: François GARDES (Univ. Paris 1 Panthéon-Sorbonne) Giulio BOTTAZZI (Sant’Anna School of Advanced Studies, Pisa) Jacques MAIRESSE (CREST, ENSAE, Paris) EMPIRICAL INVESTIGATIONS INTO THE CHARACTERISTICS AND DETERMINANTS OF THE GROWTH OF FIRMS A DISSERTATION SUBMITTED TO THE S.ANNA SCHOOL OF ADVANCED STUDIES IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN ECONOMICS AND MANAGEMENT Alexander Jean-Luc Coad April 2007 L’université de Paris 1 n’entend donner aucune approbation ni improbation aux opinions émises dans cette thèse.
    [Show full text]
  • A Neural Network Framework for Cognitive Bias
    A neural network framework for cognitive bias J.E. (Hans) Korteling, A.-M. Brouwer, A. Toet* TNO, Soesterberg, The Netherlands * Corresponding author: Alexander Toet TNO Kampweg 55 3769DE Soesterberg, The Netherlands Phone: +31 6 22372646 Fax: +31 346 353977 Email: [email protected] Abstract Human decision-making shows systematic simplifications and deviations from the tenets of rationality (‘heuristics’) that may lead to suboptimal decisional outcomes (‘cognitive biases’). There are currently three prevailing theoretical perspectives on the origin of heuristics and cognitive biases: a cognitive-psychological, an ecological and an evolutionary perspective. However, these perspectives are mainly descriptive and none of them provides an overall explanatory framework for the underlying mechanisms of cognitive biases. To enhance our understanding of cognitive heuristics and biases we propose a neural network framework for cognitive biases, which explains why our brain systematically tends to default to heuristic (‘Type 1’) decision making. We argue that many cognitive biases arise from intrinsic brain mechanisms that are fundamental for the working of biological neural networks. To substantiate our viewpoint, we discern and explain four basic neural network principles: (1) Association, (2) Compatibility (3) Retainment, and (4) Focus. These principles are inherent to (all) neural networks which were originally optimized to perform concrete biological, perceptual, and motor functions. They form the basis for our inclinations to associate and combine (unrelated) information, to prioritize information that is compatible with our present state (such as knowledge, opinions and expectations), to retain given information that sometimes could better be ignored, and to focus on dominant information while ignoring relevant information that is not directly activated.
    [Show full text]
  • Accepted Manuscript1.0
    Nonlinear World – Journal of Interdisciplinary Nature Published by GVP – Prof. V. Lakshmikantham Institute for Advanced Studies and GVP College of Engineering (A) About Journal: Nonlinear World is published in association with International Federation of Nonlinear Analysts (IFNA), which promotes collaboration among various disciplines in the world community of nonlinear analysts. The journal welcomes all experimental, computational and/or theoretical advances in nonlinear phenomena, in any discipline – especially those that further our ability to analyse and solve the nonlinear problems that confront our complex world. Nonlinear World will feature papers which demonstrate multidisciplinary nature, preferably those presented in such a way that other nonlinear analysts can at least grasp the main results, techniques, and their potential applications. In addition to survey papers of an expository nature, the contributions will be original papers demonstrating the relevance of nonlinear techniques. Manuscripts should be submitted to: Dr. J Vasundhara Devi, Associate Director, GVP-LIAS, GVP College of Engineering (A), Madhurawada, Visakhapatnam – 530048 Email: [email protected] Subscription Information 2017: Volume 1 (1 Issue) USA, India Online Registration at www.nonlinearworld.com will be made available soon. c Copyright 2017 GVP-Prof. V. Lakshmikantham Insitute of Advanced Studies ISSN 0942-5608 Printed in India by GVP – Prof. V. Lakshmikantham Institute for Advanced Studies, India Contributions should be prepared in accordance with the ‘‘ Instructions for Authors} 1 Nonlinear World Honorary Editors Dr. Chris Tsokos President of IFNA, Executive Director of USOP, Editor in Chief, GJMS, IJMSM, IJES, IJMSBF Dr. S K Sen Director, GVP-LIAS, India Editor in Chief Dr. J Vasundhara Devi Dept. of Mathematics, GVPCE(A) and Associate Director, GVP-LIAS, India Editorial Board Dr.
    [Show full text]
  • List of Fallacies
    List of fallacies For specific popular misconceptions, see List of common if>). The following fallacies involve inferences whose misconceptions. correctness is not guaranteed by the behavior of those log- ical connectives, and hence, which are not logically guar- A fallacy is an incorrect argument in logic and rhetoric anteed to yield true conclusions. Types of propositional fallacies: which undermines an argument’s logical validity or more generally an argument’s logical soundness. Fallacies are either formal fallacies or informal fallacies. • Affirming a disjunct – concluding that one disjunct of a logical disjunction must be false because the These are commonly used styles of argument in convinc- other disjunct is true; A or B; A, therefore not B.[8] ing people, where the focus is on communication and re- sults rather than the correctness of the logic, and may be • Affirming the consequent – the antecedent in an in- used whether the point being advanced is correct or not. dicative conditional is claimed to be true because the consequent is true; if A, then B; B, therefore A.[8] 1 Formal fallacies • Denying the antecedent – the consequent in an indicative conditional is claimed to be false because the antecedent is false; if A, then B; not A, therefore Main article: Formal fallacy not B.[8] A formal fallacy is an error in logic that can be seen in the argument’s form.[1] All formal fallacies are specific types 1.2 Quantification fallacies of non sequiturs. A quantification fallacy is an error in logic where the • Appeal to probability – is a statement that takes quantifiers of the premises are in contradiction to the something for granted because it would probably be quantifier of the conclusion.
    [Show full text]
  • Can Cognitive Biases Be Good for Entrepreneurs? Zhang, Haili; Van Der Bij, Hans; Song, Michael
    University of Groningen Can cognitive biases be good for entrepreneurs? Zhang, Haili; van der Bij, Hans; Song, Michael Published in: International Journal of Entrepreneurial Behaviour and Research DOI: 10.1108/IJEBR-03-2019-0173 IMPORTANT NOTE: You are advised to consult the publisher's version (publisher's PDF) if you wish to cite from it. Please check the document version below. Document Version Publisher's PDF, also known as Version of record Publication date: 2020 Link to publication in University of Groningen/UMCG research database Citation for published version (APA): Zhang, H., van der Bij, H., & Song, M. (2020). Can cognitive biases be good for entrepreneurs? International Journal of Entrepreneurial Behaviour and Research, 26(4), 793-813. https://doi.org/10.1108/IJEBR-03-2019-0173 Copyright Other than for strictly personal use, it is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license (like Creative Commons). Take-down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. Downloaded from the University of Groningen/UMCG research database (Pure): http://www.rug.nl/research/portal. For technical reasons the number of authors shown on this cover page is limited to 10 maximum. Download date: 24-09-2021 The current issue and full text archive of this journal is available on Emerald
    [Show full text]
  • Intro to Statistical Decision Analysis Human Decision Making Heuristics and Biases Professor Scott Schmidler Duke University
    Lecture 10 Today: Intro to Statistical Decision Analysis Human decision making Heuristics and biases Professor Scott Schmidler Duke University Stat 340 TuTh 11:45-1:00 Fall 2016 Reference: Textbook reading: Smith Bayesian Decision Analysis Sec 4.3 See also: Clemen & Reilly Making Hard Decisions, Ch 8 (pp 311-15) Professor Scott Schmidler Duke University Intro to Statistical Decision Analysis Professor Scott Schmidler Duke University Intro to Statistical Decision Analysis Cognitive decision making Tom W. Tom W.y Recall decision theory is a precriptive rather than descriptive theory. Human beings frequently make incoherent decisions. Tom W. is of high intelligence, although lacking in true creativity. He has a need for order and clarity, and for Many pitfalls in the ways people assess probabilities and utilities neat and tidy systems in which every detail finds its have been identified through psychological experiments. appropriate place. His writing is rather dull and mechanical, occasionally enlivened by somewhat corny Classic paper: puns and by flashes of imagination of the sci-fi type. He Tversky & Kahneman (1974): \Heuristics and Biases" has a strong drive for competence. He seems to have little feel and little sympathy for other people and does Many follow-up studies and extensions, including many discussions not enjoy interacting with others. Self-centered, he in the popular literature. nonetheless has a deep moral sense. yKahneman & Tversky (1973) Professor Scott Schmidler Duke University Intro to Statistical Decision Analysis Professor Scott Schmidler Duke University Intro to Statistical Decision Analysis Tom W. Linda This personality sketch of Tom W. was written during his senior year in high school by a psychologist on the basis of projective tests.
    [Show full text]