POSITIVISM APPROACH Meaning of Positivism Positivism in Geography
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Would ''Direct Realism'' Resolve the Classical Problem of Induction?
NOU^S 38:2 (2004) 197–232 Would ‘‘Direct Realism’’ Resolve the Classical Problem of Induction? MARC LANGE University of North Carolina at Chapel Hill I Recently, there has been a modest resurgence of interest in the ‘‘Humean’’ problem of induction. For several decades following the recognized failure of Strawsonian ‘‘ordinary-language’’ dissolutions and of Wesley Salmon’s elaboration of Reichenbach’s pragmatic vindication of induction, work on the problem of induction languished. Attention turned instead toward con- firmation theory, as philosophers sensibly tried to understand precisely what it is that a justification of induction should aim to justify. Now, however, in light of Bayesian confirmation theory and other developments in epistemology, several philosophers have begun to reconsider the classical problem of induction. In section 2, I shall review a few of these developments. Though some of them will turn out to be unilluminating, others will profitably suggest that we not meet inductive scepticism by trying to justify some alleged general principle of ampliative reasoning. Accordingly, in section 3, I shall examine how the problem of induction arises in the context of one particular ‘‘inductive leap’’: the confirmation, most famously by Henrietta Leavitt and Harlow Shapley about a century ago, that a period-luminosity relation governs all Cepheid variable stars. This is a good example for the inductive sceptic’s purposes, since it is difficult to see how the sparse background knowledge available at the time could have entitled stellar astronomers to regard their observations as justifying this grand inductive generalization. I shall argue that the observation reports that confirmed the Cepheid period- luminosity law were themselves ‘‘thick’’ with expectations regarding as yet unknown laws of nature. -
The Philosophical Underpinnings of Educational Research
The Philosophical Underpinnings of Educational Research Lindsay Mack Abstract This article traces the underlying theoretical framework of educational research. It outlines the definitions of epistemology, ontology and paradigm and the origins, main tenets, and key thinkers of the 3 paradigms; positivist, interpetivist and critical. By closely analyzing each paradigm, the literature review focuses on the ontological and epistemological assumptions of each paradigm. Finally the author analyzes not only the paradigm’s weakness but also the author’s own construct of reality and knowledge which align with the critical paradigm. Key terms: Paradigm, Ontology, Epistemology, Positivism, Interpretivism The English Language Teaching (ELT) field has moved from an ad hoc field with amateurish research to a much more serious enterprise of professionalism. More teachers are conducting research to not only inform their teaching in the classroom but also to bridge the gap between the external researcher dictating policy and the teacher negotiating that policy with the practical demands of their classroom. I was a layperson, not an educational researcher. Determined to emancipate myself from my layperson identity, I began to analyze the different philosophical underpinnings of each paradigm, reading about the great thinkers’ theories and the evolution of social science research. Through this process I began to examine how I view the world, thus realizing my own construction of knowledge and social reality, which is actually quite loose and chaotic. Most importantly, I realized that I identify most with the critical paradigm assumptions and that my future desired role as an educational researcher is to affect change and challenge dominant social and political discourses in ELT. -
The Rhetoric of Positivism Versus Interpretivism: a Personal View1
Weber/Editor’s Comments EDITOR’S COMMENTS The Rhetoric of Positivism Versus Interpretivism: A Personal View1 Many years ago I attended a conference on interpretive research in information systems. My goal was to learn more about interpretive research. In my Ph.D. education, I had studied primarily positivist research methods—for example, experiments, surveys, and field studies. I knew little, however, about interpretive methods. I hoped to improve my knowledge of interpretive methods with a view to using them in due course in my research work. A plenary session at the conference was devoted to a panel discussion on improving the acceptance of interpretive methods within the information systems discipline. During the session, a number of speakers criticized positivist research harshly. Many members in the audience also took up the cudgel to denigrate positivist research. If any other positivistic researchers were present at the session beside me, like me they were cowed. None of us dared to rise and speak in defence of positivism. Subsequently, I came to understand better the feelings of frustration and disaffection that many early interpretive researchers in the information systems discipline experienced when they attempted to publish their work. They felt that often their research was evaluated improperly and treated unfairly. They contended that colleagues who lacked knowledge of interpretive research methods controlled most of the journals. As a result, their work was evaluated using criteria attuned to positivism rather than interpretivism. My most-vivid memory of the panel session, however, was my surprise at the way positivism was being characterized by my colleagues in the session. -
There Is No Pure Empirical Reasoning
There Is No Pure Empirical Reasoning 1. Empiricism and the Question of Empirical Reasons Empiricism may be defined as the view there is no a priori justification for any synthetic claim. Critics object that empiricism cannot account for all the kinds of knowledge we seem to possess, such as moral knowledge, metaphysical knowledge, mathematical knowledge, and modal knowledge.1 In some cases, empiricists try to account for these types of knowledge; in other cases, they shrug off the objections, happily concluding, for example, that there is no moral knowledge, or that there is no metaphysical knowledge.2 But empiricism cannot shrug off just any type of knowledge; to be minimally plausible, empiricism must, for example, at least be able to account for paradigm instances of empirical knowledge, including especially scientific knowledge. Empirical knowledge can be divided into three categories: (a) knowledge by direct observation; (b) knowledge that is deductively inferred from observations; and (c) knowledge that is non-deductively inferred from observations, including knowledge arrived at by induction and inference to the best explanation. Category (c) includes all scientific knowledge. This category is of particular import to empiricists, many of whom take scientific knowledge as a sort of paradigm for knowledge in general; indeed, this forms a central source of motivation for empiricism.3 Thus, if there is any kind of knowledge that empiricists need to be able to account for, it is knowledge of type (c). I use the term “empirical reasoning” to refer to the reasoning involved in acquiring this type of knowledge – that is, to any instance of reasoning in which (i) the premises are justified directly by observation, (ii) the reasoning is non- deductive, and (iii) the reasoning provides adequate justification for the conclusion. -
Observational Determinism for Concurrent Program Security
Observational Determinism for Concurrent Program Security Steve Zdancewic Andrew C. Myers Department of Computer and Information Science Computer Science Department University of Pennsylvania Cornell University [email protected] [email protected] Abstract This paper makes two contributions. First, it presents a definition of information-flow security that is appropriate for Noninterference is a property of sequential programs that concurrent systems. Second, it describes a simple but ex- is useful for expressing security policies for data confiden- pressive concurrent language with a type system that prov- tiality and integrity. However, extending noninterference to ably enforces security. concurrent programs has proved problematic. In this pa- Notions of secure information flow are usually based on per we present a relatively expressive secure concurrent lan- noninterference [15], a property only defined for determin- guage. This language, based on existing concurrent calculi, istic systems. Intuitively, noninterference requires that the provides first-class channels, higher-order functions, and an publicly visible results of a computation do not depend on unbounded number of threads. Well-typed programs obey a confidential (or secret) information. Generalizing noninter- generalization of noninterference that ensures immunity to ference to concurrent languages is problematic because these internal timing attacks and to attacks that exploit informa- languages are naturally nondeterministic: the order of execu- tion about the thread scheduler. Elimination of these refine- tion of concurrent threads is not specified by the language se- ment attacks is possible because the enforced security prop- mantics. Although this nondeterminism permits a variety of erty extends noninterference with observational determin- thread scheduler implementations, it also leads to refinement ism. -
1.) What Is the Difference Between Observation and Interpretation? Write a Short Paragraph in Your Journal (5-6 Sentences) Defining Both, with One Example Each
Observation and Response: Creative Response Template can be adapted to fit a variety of classes and types of responses Goals: Students will: • Practice observation skills and develop their abilities to find multiple possibilities for interpretation and response to visual material; • Consider the difference between observation and interpretation; • Develop descriptive skills, including close reading and metaphorical description; • Develop research skills by considering a visual text or object as a primary source; • Engage in creative response to access and communicate intellectually or emotionally challenging material. Observation exercises Part I You will keep a journal as you go through this exercise. This can be a physical notebook that pleases you or a word document on your computer. At junctures during the exercise, you will be asked to comment, define, reflect, and create in your journal on what you just did. Journal responses will be posted to Canvas at the conclusion of the exercise, either as word documents or as Jpegs. 1.) What is the difference between observation and interpretation? Write a short paragraph in your journal (5-6 sentences) defining both, with one example each. 2.) Set a timer on your phone or computer (or oven…) and observe the image provided for 1 minute. Quickly write a preliminary research question about it. At first glance, what are you curious about? What do you want to know? 3.) Set your timer for 5 minutes and write as many observations as possible about it. Try to keep making observations, even when you feel stuck. Keep returning to the question, “What do I see?” No observation is too big or too small, too obvious or too obscure. -
PDF Download Starting with Science Strategies for Introducing Young Children to Inquiry 1St Edition Ebook
STARTING WITH SCIENCE STRATEGIES FOR INTRODUCING YOUNG CHILDREN TO INQUIRY 1ST EDITION PDF, EPUB, EBOOK Marcia Talhelm Edson | 9781571108074 | | | | | Starting with Science Strategies for Introducing Young Children to Inquiry 1st edition PDF Book The presentation of the material is as good as the material utilizing star trek analogies, ancient wisdom and literature and so much more. Using Multivariate Statistics. Michael Gramling examines the impact of policy on practice in early childhood education. Part of a series on. Schauble and colleagues , for example, found that fifth grade students designed better experiments after instruction about the purpose of experimentation. For example, some suggest that learning about NoS enables children to understand the tentative and developmental NoS and science as a human activity, which makes science more interesting for children to learn Abd-El-Khalick a ; Driver et al. Research on teaching and learning of nature of science. The authors begin with theory in a cultural context as a foundation. What makes professional development effective? Frequently, the term NoS is utilised when considering matters about science. This book is a documentary account of a young intern who worked in the Reggio system in Italy and how she brought this pedagogy home to her school in St. Taking Science to School answers such questions as:. The content of the inquiries in science in the professional development programme was based on the different strands of the primary science curriculum, namely Living Things, Energy and Forces, Materials and Environmental Awareness and Care DES Exit interview. Begin to address the necessity of understanding other usually peer positions before they can discuss or comment on those positions. -
Using the Scientific Method
Using the Scientific Method 2002 and 2014 GED Content Area: Science Focus: Scientific Method (2002) and Scientific Hypothesis and Investigation(2014) Activity Type: Graphic Organizer and GED Practice Objectives Students will be able to: Appreciate the purpose of the Scientific Method Understand key terms related to the Scientific Method: observation, hypothesis, test, experiment, result, conclusion Relate the Scientific Method to an experiment Answer GED questions based on the Scientific Method Directions 1. Print the handout “Using the Scientific Method” (next page). Pass out the handout to the class. 2. Explain that the scientific method is the way scientists learn about the world around us. This involves several steps, often in the form of experiments. Discuss the 5 steps in the chart on the handout and define the highlighted words. 3. Have a student or students read the first passage out loud. Ask the class to fill in the chart. They can fill in the chart individually or in pairs (discussing these concepts can help students develop their thinking skills). 4. Discuss the students’ answers. Samples: 1. Observation: Where there was Penicillium mold, there were also dead bacteria. 2. Hypothesis: The mold must produce a chemical that kills the bacteria. 3. Test: Grow more of the mold separately and then return it to the bacteria. 4. Result: When the material is returned to the mold, the bacteria died. 5. Conclusion: Penicillium kills bacteria. 5. Have students read the passage at the bottom of the page and answer the GED practice question. Choice (4) is correct because the doctor saw that when the chickens ate whole‐grain rice with thiamine, they did not have the disease. -
Some Major Issues and Developments in the Philosophy Ofscience Oflogical Empiricism
-----HERBERT FEIGL----- Some Major Issues and Developments in the Philosophy ofScience ofLogical Empiricism AsouT twenty-five years ago a small group of philosophically minded scientists and scientifically trained philosophers in Vienna formulated their declaration of independence from traditional philosophy. The pamphlet Wissenschaftliche Weltauffassung: Der Wiener Kreis (1929) contained the first succinct statement of the outlook which soon after became known as "logical positivism." In the first flush of enthusiasm we Viennese felt we had attained a philosophy to end all philosophies. Schlick spoke of a "Wende der Philosophie" (a decisive turning point of philosophy). Neurath and Frank declared "school philosophy" as obsolete and even suggested that our outlook drop the word "philoso phy" altogether, and replace it by "Einheitswissenschaft" or by "scien· tific empiricism." The notable impact of Alfred Ayer's first book in England, and my own efforts ~oward a propagation of Logical Positiv ism in the United States during the early thirties, and then the immi· gration of Carnap, Frank, von Mises, Reichenbach, Hempel and Berg mann created a powerful movement, but it elicited also sharp opposition nncl criticism. Through the discussions within the movement and its own production and progressive work, as well as in response to the NO'l'F.: This essay is a revised and considerably expanded .version of a lecture given in plenary session at the International Congress for Philosophy of Science, Zurich, /\ngust 25, 1954. It was first- published in Proceedi11gs of the Secono International Congress of the International Union for tl1e Philosophy ot Science (Neuchatel, Switzerland, 19 55). In the cordial letter of invitation I received from Professor Ferdinand Gonseth, president of the Congress, he asked me to discuss "I'empirisme logi<\ue,-ce qu'il fut, et ce qu'il est clevenu." Much as I appreciated the honor of t 1is ambitious assignment, I realized of course that the limitations of time would permit me to deal onJy with some selected topics within this larger frame. -
Principles of Scientific Inquiry
Chapter 2 PRINCIPLES OF SCIENTIFIC INQUIRY Introduction This chapter provides a summary of the principles of scientific inquiry. The purpose is to explain terminology, and introduce concepts, which are explained more completely in later chapters. Much of the content has been based on explanations and examples given by Wilson (1). The Scientific Method Although most of us have heard, at some time in our careers, that research must be carried out according to “the scientific method”, there is no single, scientific method. The term is usually used to mean a systematic approach to solving a problem in science. Three types of investigation, or method, can be recognized: · The Observational Method · The Experimental (and quasi-experimental) Methods, and · The Survey Method. The observational method is most common in the natural sciences, especially in fields such as biology, geology and environmental science. It involves recording observations according to a plan, which prescribes what information to collect, where it should be sought, and how it should be recorded. In the observational method, the researcher does not control any of the variables. In fact, it is important that the research be carried out in such a manner that the investigations do not change the behaviour of what is being observed. Errors introduced as a result of observing a phenomenon are known as systematic errors because they apply to all observations. Once a valid statistical sample (see Chapter Four) of observations has been recorded, the researcher analyzes and interprets the data, and develops a theory or hypothesis, which explains the observations. The experimental method begins with a hypothesis. -
Pragmatism Is As Pragmatism Does: of Posner, Public Policy, and Empirical Reality
Volume 31 Issue 3 Summer 2001 Summer 2001 Pragmatism Is as Pragmatism Does: Of Posner, Public Policy, and Empirical Reality Linda E. Fisher Recommended Citation Linda E. Fisher, Pragmatism Is as Pragmatism Does: Of Posner, Public Policy, and Empirical Reality, 31 N.M. L. Rev. 455 (2001). Available at: https://digitalrepository.unm.edu/nmlr/vol31/iss3/2 This Article is brought to you for free and open access by The University of New Mexico School of Law. For more information, please visit the New Mexico Law Review website: www.lawschool.unm.edu/nmlr PRAGMATISM IS AS PRAGMATISM DOES: OF POSNER, PUBLIC POLICY, AND EMPIRICAL REALITY LINDA E. FISHER* Stanley Fish believes that my judicial practice could not possibly be influenced by my pragmatic jurisprudence. Pragmatism is purely a method of description, so I am guilty of the "mistake of thinking that a description of a practice has cash value in a game other than the game of description." But he gives no indication that he has tested this assertion by reading my judicial opinions.' I. INTRODUCTION Richard Posner, until recently the Chief Judge of the United States Court of Appeals for the Seventh Circuit, has been much studied; he is frequently controversial, hugely prolific, candid, and often entertaining.2 Judge Posner is repeatedly in the news, most recently as a mediator in the Microsoft antitrust litigation3 and as a critic of President Clinton.4 Posner's shift over time, from a wealth-maximizing economist to a legal pragmatist (with wealth maximization as a prominent pragmatic goal), is by now well documented.' This shift has been set forth most clearly in The Problematics of Moral and Legal Theory,6 as well as Overcoming Law7 and The Problems of Jurisprudence.8 The main features of his pragmatism include a Holmesian emphasis on law as a prediction of how a judge will rule.9 An important feature of law, then, is its ability to provide clear, stable guidance to those affected by it. -
A WIN-WIN SOLUTION the Empirical Evidence on School Choice FOURTH EDITION Greg Forster, Ph.D
A WIN-WIN SOLUTION The Empirical Evidence on School Choice FOURTH EDITION Greg Forster, Ph.D. MAY 2016 About the Friedman Foundation for Educational Choice The Friedman Foundation for Educational Choice is a 501(c)(3) nonprofit and nonpartisan organization, solely dedicated to advancing Milton and Rose Friedman’s vision of school choice for all children. First established as the Milton and Rose D. Friedman Foundation in 1996, the Foundation promotes school choice as the most effective and equitable way to improve the quality of K–12 education in America. The Friedman Foundation is dedicated to research, education, and outreach on the vital issues and implications related to school choice. A WIN-WIN SOLUTION The Empirical Evidence on School Choice FOURTH EDITION Greg Forster, Ph.D. MAY 2016 Table of Contents Executive Summary .......................................................................................................................1 Introduction ....................................................................................................................................3 Choice in Education .................................................................................................................3 Why Science Matters—the “Gold Standard” and Other Methods ....................................4 The Method of This Report .....................................................................................................6 Criteria for Study Inclusion or Exclusion .......................................................................6