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Journal Article The Economic Implications of Learning by Doing Get access Kenneth J. Arrow Kenneth J. Arrow Stanford Search for other works by this author on: Oxford Academic Google Scholar The Review of Economic Studies, Volume 29, Issue 3, June 1962, Pages 155–173, https://doi.org/10.2307/2295952 Published: 01 June 1962
PART ONE: INTRODUCTION How to Use This Book What You Can (and Can't) Do with Qualitative Research Introduction Why Do Students Use Qualitative Methods? Are Qualitative Methods Always the Best? Should You Use Qualitative Methods? Concluding Remarks The Research Experience I Introduction Moira's Research Diary Sally's Research Diary Simon's Research Diary Concluding Remarks The Research Experience II Introduction Interviews Ethnographies Texts Audio Data Visual Data Multiple Methods Concluding Remarks What Counts as 'Originality'? Introduction Originality Being a 'Professional' Independent Critical Thought Concluding Remarks PART TWO: STARTING OUT Selecting a Topic Introduction Workable Research Questions Simplistic Inductivism The 'Kitchen Sink' Gambit The Grand Theorist Strategies for Simplistic Inductivists Strategies for 'Kitchen Sinkers' Strategies for Grand Theorists Strategies for All Researchers Concluding Remarks Using Theories Introduction How Theoretical Models Shape Research The Different Languages of Qualitative Research Theories, Models and Hypotheses Examples Concluding Remarks Choosing a Methodology Introduction Qualitative or Quantitative? Your Research Strategy Choosing a Methodology: A Case Study Naturally Occurring Data? Multiple Methods? Concluding Remarks Selecting a Case Introduction What Is a Case Study? Generalizing from Cases Types of Case Studies Combining Qualitative Research with Quantitative Measures of Populations Purposive Sampling Theoretical Sampling Generalizability Is Present in a Single Case Concluding Remarks Ethical Research Introduction The Standards of Ethical Research Why Ethics Matter for Your Research Ethical Guidelines in Practice Complex Ethical Issues Research Governance Conclusion: Managing Ethical Demands Writing a Research Proposal Introduction Aim for Crystal Clarity Plan before You Write Be Persuasive Be Practical Make Broader Links Concluding Remarks PART THREE: COLLECTING AND ANALYZING YOUR DATA Collecting Your Data Collecting Interview Data Collecting Ethnographic Data Concluding Remarks Developing Data Analysis Introduction Kick-Starting Data Analysis A Case Study Interviews Fieldnotes Transcripts Visual Data Concluding Remarks Using Computers to Analyze Qualitative Data - Clive Seale Introduction What CAQDAS Software Can Do For You Advantages of CAQDAS Limitations and Disadvantages Theory Building With CAQDAS Keyword Analysis Concluding Remarks Quality in Qualitative Research Introduction Validity Reliability Concluding Remarks Evaluating Qualitative Research Introduction Two Guides For Evaluating Research Four Quality Criteria Applying Quality Criteria Four Quality Issues Revisited Concluding Remarks PART FOUR: WRITING UP The First Few Pages Introduction The Title The Abstract The List of Contents The Introduction Concluding Remarks The Literature Review Chapter Recording Your Reading Writing Your Literature Review Practical Questions Principles Do You Need A Literature Review Chapter? Concluding Remarks The Methodology Chapter Introduction What Should The Methodology Chapter Contain? A Natural History Chapter? Concluding Remarks Writing Your Data Chapters Introduction The Macrostructure The Microstructure Tightening Up Concluding Remarks Your Final Chapter Introduction The Final Chapter as Mutual Stimulation What Exactly Should Your Final Chapter Contain? Confessions And Trumpets Theorizing As Thinking Through Data Writing For Audiences Why Your Final Chapter Can Be Fun Concluding Remarks PART FIVE: GETTING SUPPORT Making Good Use of Your Supervisor Introduction Supervision Horror Stories Student And Supervisor Expectations The Early Stages The Later Stages Standards Of Good Practice Concluding Remarks Getting Feedback Introduction Writing Speaking The Art Of Presenting Research Feedback From The People You Study Concluding Remarks PART SIX: REVIEW Effective Qualitative Research Introduction Keep It Simple Take Advantage Of Using Qualitative Data Avoid Drowning In Data Avoid Journalism Concluding Remarks PART SEVEN: THE AFTERMATH Surviving an Oral Examination Introduction Viva Horror Stories Preparing For Your Oral Doing The Oral Outcomes Revising Your Thesis After The Oral A Case Study Concluding Remarks Getting Published Introduction The Backstage Politics Of Publishing Strategic Choices What Journals Are Looking For Reviewers' Comments How To Write A Short Journal Article Concluding Remarks Audiences Introduction The Policy-Making Audience The Practitioner Audience The Lay Audience Concluding Remarks Finding a Job Introduction Learning About Vacancies Getting On A Shortlist The Job Interview Concluding Remarks
The book covers all the essential aspects of actually doing research, providing coverage of both quantitative and qualitative methods, and dealing with all the ...
PART ONE: THINKING ABOUT VISUAL ETHNOGRAPHY: HISTORICAL, THEORETICAL AND PRACTICAL PERSPECTIVES Visual Ethnography Across Disciplines Ways of Seeing, Knowing And Showing Planning And Practising Visual Ethnography PART TWO: PRODUCING KNOWLEDGE Photography In Ethnographic Research Video In Ethnographic Research Doing Visual Ethnography With The Web Making Meanings in Visual Ethnography PART THREE: REPRESENTING VISUAL ETHNOGRAPHY Photography And Ethnographic Writing Video In Ethnographic Representation Making Visual Ethnography Public Online/Digitally
Interpretive research in information systems (IS) is now a well-established part of the field. However, there is a need for more material on how to carry out such work from inception to publication. I published a paper a decade ago (Walsham, 1995) which addressed the nature of interpretive IS case studies and methods for doing such research. The current paper extends this earlier contribution, with a widened scope of all interpretive research in IS, and through further material on carrying out fieldwork, using theory and analysing data. In addition, new topics are discussed on constructing and justifying a research contribution, and on ethical issues and tensions in the conduct of interpretive work. The primary target audience for the paper is less-experienced IS researchers, but I hope that the paper will also stimulate reflection for the more-experienced IS researcher and be of relevance to interpretive researchers in other social science fields.
An accessible discussion and analysis of the theoretical methodological and practical aspects of doing sensory ethnography, drawing on examples and case studies from the growing literature on sensory ethnographic studies, and from the author's own work.
The purpose of this article is to advance a new understanding of gender as a routine accomplishment embedded in everyday interaction. To do so entails a critical assessment of existing perspectives on sex and gender and the introduction of important distinctions among sex, sex category, and gender. We argue that recognition of the analytical independence of these concepts is essential for understanding the interactional work involved in being a gendered person in society. The thrust of our remarks is toward theoretical reconceptualization, but we consider fruitful directions for empirical research that are indicated by our formulation.
Ear and Hearing: March 2011 - Volume 32 - Issue 2 - p 266 doi: 10.1097/AUD.0b013e31821473f7
Written in a lively, accessible style, this step-by-step guide provides answers to all the questions students ask when beginning their first research project. David Silverman demonstrates how to learn the craft of qualitative research by applying knowledge about different methodologies to actual data. He provides practical advice on key issues, such as: defining `originality' and narrowing down a topic; keeping a research diary and writing a research report; and presenting research to different audiences. Packed with case studies and examples of students' experiences, the book has many features to aid study, including overviews, summaries of key skills and a glossary of terms. Each stage in the research process is grounded in worked examples, with exercises designed both to test students' knowledge and to encourage the development of practical skills.
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We examine self-control problems—modeled as time-inconsistent, present-biased preferences—in a model where a person must do an activity exactly once. We emphasize two distinctions: Do activities involve immediate costs or immediate rewards, and are people sophisticated or naive about future self-control problems? Naive people procrastinate immediate-cost activities and preproperate—do too soon—immediate-reward activities. Sophistication mitigates procrastination, but exacerbates preproperation. Moreover, with immediate costs, a small present bias can severely harm only naive people, whereas with immediate rewards it can severely harm only sophisticated people. Lessons for savings, addiction, and elsewhere are discussed. (JEL A12, B49, C70, D11, D60, D74, D91, E21)
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Abstract This work sets out the author's conclusions in the field to which he directed his main efforts for at least the last ten years of his life. Starting from an examination of his already well-known distinction between performative utterances and statements, he finally abandons that distinction, replacing it with a more general theory of ‘illocutionary forces’ of utterances, which has important bearings on a wide variety of philosophical problems.
The Behavioral Model of Health Services Use was initially developed over 25 years ago. In the interim it has been subject to considerable application, reprobation, and alteration. I review its development and assess its continued relevance.
The difference and system generalized method-of-moments estimators, developed by Holtz-Eakin, Newey, and Rosen (1988, Econometrica 56: 1371–1395); Arellano and Bond (1991, Review of Economic Studies 58: 277–297); Arellano and Bover (1995, Journal of Econometrics 68: 29–51); and Blundell and Bond (1998, Journal of Econometrics 87: 115–143), are increasingly popular. Both are general estimators designed for situations with “small T, large N″ panels, meaning few time periods and many individuals; independent variables that are not strictly exogenous, meaning they are correlated with past and possibly current realizations of the error; fixed effects; and heteroskedasticity and autocorrelation within individuals. This pedagogic article first introduces linear generalized method of moments. Then it describes how limited time span and potential for fixed effects and endogenous regressors drive the design of the estimators of interest, offering Stata-based examples along the way. Next it describes how to apply these estimators with xtabond2. It also explains how to perform the Arellano–Bond test for autocorrelation in a panel after other Stata commands, using abar. The article concludes with some tips for proper use.
Abstract An individual has a theory of mind if he imputes mental states to himself and others. A system of inferences of this kind is properly viewed as a theory because such states are not directly observable, and the system can be used to make predictions about the behavior of others. As to the mental states the chimpanzee may infer, consider those inferred by our own species, for example, purpose or intention , as well as knowledge, belief, thinking, doubt, guessing, pretending, liking , and so forth. To determine whether or not the chimpanzee infers states of this kind, we showed an adult chimpanzee a series of videotaped scenes of a human actor struggling with a variety of problems. Some problems were simple, involving inaccessible food – bananas vertically or horizontally out of reach, behind a box, and so forth – as in the original Kohler problems; others were more complex, involving an actor unable to extricate himself from a locked cage, shivering because of a malfunctioning heater, or unable to play a phonograph because it was unplugged. With each videotape the chimpanzee was given several photographs, one a solution to the problem, such as a stick for the inaccessible bananas, a key for the locked up actor, a lit wick for the malfunctioning heater. The chimpanzee's consistent choice of the correct photographs can be understood by assuming that the animal recognized the videotape as representing a problem, understood the actor's purpose, and chose alternatives compatible with that purpose.
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Abstract Numerous theoretical frameworks have been developed to explain the gap between the possession of environmental knowledge and environmental awareness, and displaying pro-environmental behavior. Although many hundreds of studies have been undertaken, no definitive explanation has yet been found. Our article describes a few of the most influential and commonly used analytical frameworks: early US linear progression models; altruism, empathy and prosocial behavior models; and finally, sociological models. All of the models we discuss (and many of the ones we do not such as economic models, psychological models that look at behavior in general, social marketing models and that have become known as deliberative and inclusionary processes or procedures (DIPS)) have some validity in certain circumstances. This indicates that the question of what shapes pro-environmental behavior is such a complex one that it cannot be visualized through one single framework or diagram. We then analyze the factors that have been found to have some influence, positive or negative, on pro-environmental behavior such as demographic factors, external factors (e.g. institutional, economic, social and cultural) and internal factors (e.g. motivation, pro-environmental knowledge, awareness, values, attitudes, emotion, locus of control, responsibilities and priorities). Although we point out that developing a model that tries to incorporate all factors might neither be feasible nor useful, we feel that it can help illuminate this complex field. Accordingly, we propose our own model based on the work of Fliegenschnee and Schelakovsky (1998) who were influenced by Fietkau and Kessel (1981).