Search results for 'experimental design' (try it on Scholar)

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  1. Nat Hansen (2013). A Slugfest of Intuitions: Contextualism and Experimental Design. Synthese 190 (10):1771-1792.
    This paper considers ways that experimental design can affect judgments about informally presented context shifting experiments. Reasons are given to think that judgments about informal context shifting experiments are affected by an exclusive reliance on binary truth value judgments and by experimenter bias. Exclusive reliance on binary truth value judgments may produce experimental artifacts by obscuring important differences of degree between the phenomena being investigated. Experimenter bias is an effect generated when, for example, experimenters disclose (even unconsciously) (...)
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  2. George Kellas, Alfred A. Baumeister & Stephen J. Wilcox (1969). Interactive Effects of Preparatory Intervals, Stimulus Intensity, and Experimental Design on Reaction Time. Journal of Experimental Psychology 80 (2p1):311.
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  3. Jerome L. Myers (1972). Fundamentals of Experimental Design. Boston,Allyn and Bacon.
     
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  4. William Samuel Ray (1960). An Introduction to Experimental Design. New York, Macmillan.
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  5. Walter Theodore Federer (1955). Experimental Design. New York, Macmillan.
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  6.  3
    A. E. Maxwell (1958). Experimental Design in Psychology and the Medical Sciences. New York, Wiley.
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  7.  26
    Shaun Gallagher (2003). Phenomenology and Experimental Design: Toward a Phenomenologically Enlightened Experimental Science. Journal of Consciousness Studies 10 (9-10):85-99.
    I review three answers to the question: How can phenomenology contribute to the experimental cognitive neurosciences? The first approach, neurophenomenology, employs phenomenological method and training, and uses first-person reports not just as more data for analysis, but to generate descriptive categories that are intersubjectively and scientifically validated, and are then used to interpret results that correlate with objective measurements of behaviour and brain activity. A second approach, indirect phenomenology, is shown to be problematic in a number of ways. Indirect (...)
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  8.  40
    Jan Sprenger (2009). Evidence and Experimental Design in Sequential Trials. Philosophy of Science 76 (5):637-649.
    To what extent does the design of statistical experiments, in particular sequential trials, affect their interpretation? Should postexperimental decisions depend on the observed data alone, or should they account for the used stopping rule? Bayesians and frequentists are apparently deadlocked in their controversy over these questions. To resolve the deadlock, I suggest a three‐part strategy that combines conceptual, methodological, and decision‐theoretic arguments. This approach maintains the pre‐experimental relevance of experimental design and stopping rules but vindicates their (...)
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  9.  21
    Andreas Ortmann & Michal Ostatnicky (2004). Proper Experimental Design and Implementation Are Necessary Conditions for a Balanced Social Psychology. Behavioral and Brain Sciences 27 (3):352-353.
    We applaud the authors' basic message. We note that the negative research emphasis is not special solely to social psychology and judgment and decision-making. We argue that the proposed integration of null hypothesis significance testing (NHST) and Bayesian analysis is promising but will ultimately succeed only if more attention is paid to proper experimental design and implementation.
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  10.  4
    Peter Spirtes, Clark Glymour, Richard Scheines, Christopher Meek, S. Fineberg & E. Slate, Prediction and Experimental Design with Graphical Causal Models.
    Peter Spirtes, Clark Glymour, Richard Scheines, Christopher Meek, S. Fineberg, E. Slate. Prediction and Experimental Design with Graphical Causal Models.
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  11. Giuditta Parolini (2015). The Emergence of Modern Statistics in Agricultural Science: Analysis of Variance, Experimental Design and the Reshaping of Research at Rothamsted Experimental Station, 1919–1933. Journal of the History of Biology 48 (2):301-335.
    During the twentieth century statistical methods have transformed research in the experimental and social sciences. Qualitative evidence has largely been replaced by quantitative results and the tools of statistical inference have helped foster a new ideal of objectivity in scientific knowledge. The paper will investigate this transformation by considering the genesis of analysis of variance and experimental design, statistical methods nowadays taught in every elementary course of statistics for the experimental and social sciences. These methods were (...)
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  12.  10
    Hans-Jörg Rheinberger (2000). Ephestia: The Experimental Design of Alfred Kühn's Physiological Developmental Genetics. [REVIEW] Journal of the History of Biology 33 (3):535-576.
    Much of the early history of developmental and physiological genetics in Germany remains to be written. Together with Carl Correns and Richard Goldschmidt, Alfred Kühn occupies a special place in this history. Trained as a zoologist in Freiburg im Breisgau, he set out to integrate physiology, development and genetics in a particular experimental system based on the flour moth Ephestia kühniella Zeller. This paper is meant to reconstruct the crucial steps in the experimental pathway that led Kühn (...)
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  13.  24
    Herbert Gintis (2001). The Contribution of Game Theory to Experimental Design in the Behavioral Sciences. Behavioral and Brain Sciences 24 (3):411-412.
    Methodological practices differ between economics and psychology because economists use game theory as the basis for the design and interpretation of experiments, while psychologists do not. This methodological choice explains the “four key variables” stressed by Hert-wig and Ortmann. Game theory is currently the most rigorous basis for modeling strategic choice.
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  14.  10
    Sue V. Rosser (1989). Re-Visioning Clinical Research: Gender and the Ethics of Experimental Design. Hypatia 4 (2):125 - 139.
    Since modern medicine is based substantially in clinical medical research, the flaws and ethical problems that arise in this research as it is conceived and practiced in the United States are likely to be reflected to some extent in current medicine and its practice. This paper explores some of the ways in which clinical research has suffered from an androcentric focus in its choice and definition of problems studied, approaches and methods used in design and interpretation of experiments, and (...)
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  15.  5
    Alvin E. Roth (2001). Form and Function in Experimental Design. Behavioral and Brain Sciences 24 (3):427-428.
    Standard practices in experimental economics arise for different reasons. The “no deception” rule comes from a cost-benefit tradeoff; other practices have to do with the uses to which economists put experiments. Because experiments are part of scientific conversations that mostly go on within disciplines, differences in standard practices between disciplines are likely to persist.
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  16. Robert E. Haskell (2003). A Logico-Mathematic, Structural Methodology. Part II: Experimental Design and Epistemological Issues. Journal of Mind and Behavior 24 (3-4):401-422.
    In this first of two companion papers to a logico-mathematic, structural methodology , a meta-level analysis of the non metric structure is presented in relation to critiques based on standard experimental, statistical, and computational methods of contemporary psychology and cognitive science. The concept of a non metric methodology is examined as it relates to the epistemological and scientific goals of experimental, statistical, and computational methods. While sharing in these goals, differences and similarities between the two methodological approaches are (...)
     
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  17.  6
    Jan Maarten Schraagen (1993). How Experts Solve a Novel Problem in Experimental Design. Cognitive Science 17 (2):285-309.
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  18.  6
    Daniel Algom, Dan Zakay, Ofer Monar & Eran Chajut (2009). Wheel Chairs and Arm Chairs: A Novel Experimental Design for the Emotional Stroop Effect. Cognition and Emotion 23 (8):1552-1564.
  19.  5
    Ian Hacking (1988). Telepathy: Origins of Randomization in Experimental Design. Isis: A Journal of the History of Science 79:427-451.
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  20. Francesco Guala (2009). Methodological Issues in Experimental Design and Interpretation. In Harold Kincaid & Don Ross (eds.), The Oxford Handbook of Philosophy of Economics. Oxford University Press 280--281.
     
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  21.  2
    Sue V. Rosser (1989). Re-Visioning Clinical Research: Gender and the Ethics of Experimental Design. Hypatia 4 (2):125-139.
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  22. G. G. Gallup (1994). Self-Recognition: Research Strategies and Experimental Design. In S. T. Parker, R. Mitchell & M. L. Boccia (eds.), Self-Awareness in Animals and Humans: Developmental Perspectives. Cambridge University Press
     
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  23.  20
    Serena Cattaruzza (1999). Philosophical Theories and Experimental Design in Vittorio Benussi. Axiomathes 10 (1-3):11-29.
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  24.  4
    L. A. R. (1953). Book Review:Experimental Design in Psychological Research Allen L. Edwards. [REVIEW] Philosophy of Science 20 (4):345-.
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  25.  2
    Thomas G. Benedek (2014). "Case Neisser": Experimental Design, the Beginnings of Immunology, and Informed Consent. Perspectives in Biology and Medicine 57 (2):249-267.
    As etiologic concepts of diseases gradually changed from humoral to microbial in the 19th century, syphilis presented particularly great challenges to doctors and scientists. Was “syphilis” merely a synonym for “venereal disease,” and did all manifestations attributed to it have the same cause? The discovery in 1879 of the gonococcus by Albert L. Neisser , and of the cause of chancroid, or soft chancre, in 1890 by Augusto Ducrey , established that venereal disease and syphilis were not synonymous, but syphilis (...)
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  26.  3
    Cooper B. Holmes & Stephen F. Davis (1979). Backward Conditioning: An Artifact of Experimental Design? Bulletin of the Psychonomic Society 14 (6):431-432.
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  27.  2
    Lisa M. Baker & Kevin Dunbar (1996). Constraints on the Experimental Design Process in Real-World Science. In Garrison W. Cottrell (ed.), Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society. Lawrence Erlbaum 154--159.
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  28.  2
    John H. Flowers & Beccy Blair (1976). Verbal Interference with Visual Classification: Optimal Processing and Experimental Design. Bulletin of the Psychonomic Society 7 (3):260-262.
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  29.  2
    S. F. Barker (1960). Book Review:Experimental Design in Psychology and the Medical Sciences A. E. Maxwell. [REVIEW] Philosophy of Science 27 (3):310-.
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  30.  1
    J. Maarten Schraagen (1993). How Experts Solve a Novel Problem in Experimental Design. Cognitive Science 17 (2):285-309.
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  31. Feten Arfaoui, Salma Damak-Ayadi, Raouf Ghram & Asma Bouchekoua (forthcoming). Ethics Education and Accounting Students’ Level of Moral Development: Experimental Design in Tunisian Audit Context. Journal of Business Ethics.
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  32. C. J. Barnard (2011). Asking Questions in Biology: A Guide to Hypothesis Testing, Experimental Design and Presentation in Practical Work and Research Projects. Pearson.
  33. D. G. Lewis (1969). Experimental Design in Education. British Journal of Educational Studies 17 (1):90-90.
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  34. C. G. Mclaren, V. I. Bartolome, M. C. Carrasco, L. C. Quintana, M. I. B. Ferino, J. Z. Mojica, A. B. Olea, L. C. Paunlagui, C. G. Ramos & M. A. Ynalvez (forthcoming). Experimental Design and Data Analysis for Agricultural Research, Vol. 1, International Rice Research Institute, Los Banos. Laguna.
     
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  35. John A. Ross & Floyd G. Robinson (1987). The Use of Rule Structures in Teaching Experimental Design to Secondary‐School Students. Science Education 71 (4):571-589.
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  36. W. D. Hackmann (1979). The Relationship Between Concept and Instrument Design in Eighteenth-Century Experimental Science. Annals of Science 36 (3):205-224.
    The empiricism of eighteenth-century experimental science meant that the development of scientific instruments influenced the formulation of new concepts; a two-way process for new theory also affected instrument design. This relationship between concept and instrumentation will be examined by tracing the development of electrical instruments and theory during this period. The different functions fulfilled by these devices will also be discussed. Empiricism was especially important in such a new field of research as electricity, for it gave rise to (...)
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  37.  34
    Carrie Figdor & Mark Phelan (2015). Is Free Will Necessary for Moral Responsibility?: A Case for Rethinking Their Relationship and the Design of Experimental Studies in Moral Psychology. Mind and Language 30 (5):603-627.
    Philosophical tradition has long held that free will is necessary for moral responsibility. We report experimental results that show that the folk do not think free will is necessary for moral responsibility. Our results also suggest that experimental investigation of the relationship is ill served by a focus on incompatibilism versus compatibilism. We propose an alternative framework for empirical moral psychology in which judgments of free will and moral responsibility can vary independently in response to many factors. We (...)
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  38.  16
    Walter G. Vincenti (2001). The Experimental Assessment of Engineering Theory As a Tool for Design. Techné: Research in Philosophy and Technology 5 (3):124-130.
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  39.  5
    Hadas Kotek, Yasutada Sudo & Martin Hackl (2015). Experimental Investigations of Ambiguity: The Case of Most. Natural Language Semantics 23 (2):119-156.
    In the study of natural language quantification, much recent attention has been devoted to the investigation of verification procedures associated with the proportional quantifier most. The aim of these studies is to go beyond the traditional characterization of the semantics of most, which is confined to explicating its truth-functional and presuppositional content as well as its combinatorial properties, as these aspects underdetermine the correct analysis of most. The present paper contributes to this effort by presenting new experimental evidence in (...)
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  40. Shaun Gallagher & Jesper B. Sorensen (2006). Experimenting with Phenomenology. Consciousness and Cognition 15 (1):119-134.
    We review the use of introspective and phenomenological methods in experimental settings. We distinguish different senses of introspection, and further distinguish phenomenological method from introspectionist approaches. Two ways of using phenomenology in experimental procedures are identified: first, the neurophenomenological method, proposed by Varela, involves the training of experimental subjects. This approach has been directly and productively incorporated into the protocol of experiments on perception. A second approach may have wider application and does not involve training experimental (...)
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  41. Donald Thomas Campbell (1966). Experimental and Quasi-Experimental Designs for Research. Chicago, R. Mcnally.
     
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  42. Nat Hansen (2014). Contrasting Cases. In James Beebe (ed.), Advances in Experimental Epistemology. Bloomsbury 71-95.
    This paper concerns the philosophical significance of a choice about how to design the context shifting experiments used by contextualists and anti-intellectualists: Should contexts be judged jointly, with contrast, or separately, without contrast? Findings in experimental psychology suggest (1) that certain contextual features are more difficult to evaluate when considered separately, and there are reasons to think that one feature--stakes or importance--that interests contextualists and anti-intellectualists is such a difficult to evaluate attribute, and (2) that joint evaluation of (...)
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  43.  78
    Dustin Stokes (2016). Imagination and Creativity. In Amy Kind (ed.), The Routledge Handbook of the Philosophy of the Imagination. Routledge
    This paper surveys historical and recent philosophical discussions of the relations between imagination and creativity. In the first two sections, it covers two insufficiently studied analyses of the creative imagination, that of Kant and Sartre, respectively. The next section discusses imagination and its role in scientific discovery, with particular emphasis on the writings of Michael Polanyi, and on thought experiments and experimental design. The final section offers a brief discussion of some very recent work done on conceptual relations (...)
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  44.  6
    B. F. Skinner (1984). Methods and Theories in the Experimental Analysis of Behavior. Behavioral and Brain Sciences 7 (4):511.
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  45.  4
    Alan Fask, Fred Englander & Zhaobo Wang (2014). Do Online Exams Facilitate Cheating? An Experiment Designed to Separate Possible Cheating From the Effect of the Online Test Taking Environment. Journal of Academic Ethics 12 (2):101-112.
    Despite recent growth in distance education, there has been relatively little research on whether online examinations facilitate student cheating. The present paper utilizes an experimental design to assess the difference in student performance between students taking a traditional, proctored exam and those taking an online, unproctored exam. This difference in performance is examined in a manner which considers both the effect of the different physical test environments and the possible effect of a difference in the opportunity for students (...)
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  46. William A. Dembski (1998). Mere Creation Science, Faith & Intelligent Design.
  47.  76
    Alejandro Garcia-Rivera, Mark Graves & Carl Neumann (2009). Beauty in the Living World. Zygon 44 (2):243-263.
    Almost all admit that there is beauty in the natural world. Many suspect that such beauty is more than an adornment of nature. Few in our contemporary world suggest that this beauty is an empirical principle of the natural world itself and instead relegate beauty to the eye and mind of the beholder. Guided by theological and scientific insight, the authors propose that such exclusion is no longer tenable, at least in the data of modern biology and in our view (...)
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  48.  10
    Nancy S. Hall (2007). R. A. Fisher and His Advocacy of Randomization. Journal of the History of Biology 40 (2):295 - 325.
    The requirement of randomization in experimental design was first stated by R. A. Fisher, statistician and geneticist, in 1925 in his book Statistical Methods for Research Workers. Earlier designs were systematic and involved the judgment of the experimenter; this led to possible bias and inaccurate interpretation of the data. Fisher's dictum was that randomization eliminates bias and permits a valid test of significance. Randomization in experimenting had been used by Charles Sanders Peirce in 1885 but the practice was (...)
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  49. Charles Robert Hicks (1964). Fundamental Concepts in the Design of Experiments. New York, Holt, Rinehart and Winston.
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  50. Michael Hampe & Silke Lang (eds.) (2009). The Design of Material, Organism, and Minds: Different Understandings of Design. Springer.
     
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