Search results for 'Nevin Cavusoglu' (try it on Scholar)

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  1.  12
    Nevin Cavusoglu & Edinaldo Tebaldi (2006). Evaluating Growth Theories and Their Empirical Support: An Assessment of the Convergence Hypothesis. Journal of Economic Methodology 13 (1):49-75.
    Understanding the factors determining economic growth has been a major concern for economists and governing bodies for many years. The Solow growth model and the endogenous growth models are the main theories tested and used in the growth literature. This paper discusses the main contributions to economic methodology and uses Lakatos's scientific research program framework to evaluate the main theoretical contributions to growth theory. Based on Lakatos's ideas, Solovian models are both empirically and theoretically progressive. Endogenous growth models, on the (...)
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  2. Peter E. Jenkins, Robin A. Chadwick & John A. Nevin (1983). Classically Conditioned Enhancement of Antibody Production. Bulletin of the Psychonomic Society 21 (6):485-487.
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  3.  4
    William M. Baum & John A. Nevin (1981). Maximization Theory: Some Empirical Problems. Behavioral and Brain Sciences 4 (3):389-390.
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  4.  65
    John A. Nevin & Randolph C. Grace (2000). Behavioral Momentum: Empirical, Theoretical, and Metaphorical Issues. Behavioral and Brain Sciences 23 (1):117-125.
    In reply to the comments on our target article, we address a variety of issues concerning the generality of our major findings, their relation to other theoretical formulations, and the metaphor of behavioral momentum that inspired much of our work. Most of these issues can be resolved by empirical studies, and we hope that the ideas advanced here will promote the analysis of resistance to change and preference in new areas of research and application.
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  5.  14
    John A. Nevin & Randolph C. Grace (2000). Behavioral Momentum and the Law of Effect. Behavioral and Brain Sciences 23 (1):73-90.
    In the metaphor of behavioral momentum, the rate of a free operant in the presence of a discriminative stimulus is analogous to the velocity of a moving body, and resistance to change measures an aspect of behavior that is analogous to its inertial mass. An extension of the metaphor suggests that preference measures an analog to the gravitational mass of that body. The independent functions relating resistance to change and preference to the conditions of reinforcement may be construed as convergent (...)
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  6.  3
    John A. Nevin (1983). Pavlovian Contingencies and Conditioned Reinforcement. Behavioral and Brain Sciences 6 (4):711.
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  7.  6
    Norman C. Nevin (1966). Third International Congress of Human Genetics. The Eugenics Review 58 (4):182.
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  8.  7
    Peter Froggatt & N. C. Nevin (1972). ''Galton's' Law of Ancestral Heredity': Its Influence on the Early Development of Human Genetics. History of Science 10:1.
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  9.  2
    Sandra Rutter & John A. Nevin (1990). Long-Term Contrafreeloading in Rats During Continuous Sessions. Bulletin of the Psychonomic Society 28 (6):556-558.
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  10.  1
    Sonya Nevin (2014). J. Crowley The Psychology of the Athenian Hoplite: The Culture of Combat in Classical Athens. Cambridge: Cambridge University Press, . Pp. 256, Illus. £55. 9781107020610. [REVIEW] Journal of Hellenic Studies 134:182-183.
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  11.  4
    John A. Nevin (1994). Extension to Multiple Schedules: Some Surprising Predictions. Behavioral and Brain Sciences 17 (1):145.
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  12.  2
    Newton N. Minow, Thomas G. Ayers, John J. Louis, John J. Nevin, Don H. Reuben & Howard J. Trienens (forthcoming). Northwestern University. Minerva.
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  13.  12
    Randolph C. Grace & John A. Nevin (2004). Behavioral Momentum and Pavlovian Conditioning. Behavioral and Brain Sciences 27 (5):695-697.
    The constructs of behavioral mass in research on the momentum of operant behavior and associative strength in Pavlovian conditioning have some interesting parallels, as suggested by Savastano & Miller. Some recent findings challenge the strict separation of operant and Pavlovian determiners of response rate and resistance to change in behavioral momentum, renewing the need for research on the interaction of processes that have traditionally been studied separately. Relatedly, Furedy notes that some autonomic responses may be refractory to conditioning, but a (...)
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  14.  1
    John A. Nevin (1996). Stimulus Factors in Addiction. Behavioral and Brain Sciences 19 (4):590.
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  15.  1
    John A. Nevin (1988). Sensory Analysis and Behavior Theory. Behavioral and Brain Sciences 11 (2):307.
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  16.  1
    John A. Nevin (1981). Learning Theory: Behavioral Artifacts or General Principles? Behavioral and Brain Sciences 4 (1):152.
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  17.  1
    John A. Nevin (1988). Reinforcement Schedules and “Numerical Competence”. Behavioral and Brain Sciences 11 (4):594.
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  18. H. Cavusoglu (2001). Neonatology and Ethics: A Word From Turkey. Journal of Clinical Ethics 12 (3):315.
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  19. Norman C. Nevin (1966). Human Genetics and its Foundations. The Eugenics Review 58 (2):99.
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  20. Ja Nevin (1987). Local Contrast in a Closed Economy. Bulletin of the Psychonomic Society 25 (5):354-355.
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  21.  5
    Josefine Raasch (2011). Murat and Nevin and the Divided Past. Agora 46 (1):33.
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  22. C. Gutberlet (1900). Ölzelt-Nevin, Ant., Weshalb das Problem der Willensfreiheit nicht zu lösen ist? [REVIEW] Philosophisches Jahrbuch 13:436-438.
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  23. Rivka Amado & Nevin M. Gewertz (2004). Intellectual Property and the Pharmaceutical Industry: A Moral Crossroads Between Health and Property. [REVIEW] Journal of Business Ethics 55 (3):295 - 308.
    The moral justification of intellectual property is often called into question when placed in the context of pharmaceutical patents and global health concerns. The theoretical accounts of both John Rawls and Robert Nozick provide an excellent ethical framework from which such questions can be clarified. While Nozick upholds an individuals right to intellectual property, based upon its conformation with Lockean notions of property and Nozicks ideas of just acquisition and transfer, Rawls emphasizes the importance of basic liberties, such as an (...)
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  24.  80
    Nevin Climenhaga (2013). A Problem for the Alternative Difference Measure of Confirmation. Philosophical Studies 164 (3):643-651.
    Among Bayesian confirmation theorists, several quantitative measures of the degree to which an evidential proposition E confirms a hypothesis H have been proposed. According to one popular recent measure, s, the degree to which E confirms H is a function of the equation P(H|E) − P(H|~E). A consequence of s is that when we have two evidential propositions, E1 and E2, such that P(H|E1) = P(H|E2), and P(H|~E1) ≠ P(H|~E2), the confirmation afforded to H by E1 does not equal the (...)
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  25. Robert Olby (1989). The Dimensions of Scientific Controversy: The Biometric—Mendelian Debate. British Journal for the History of Science 22 (3):299-320.
    The increasing attention which has been given to social history of science and to the sociological analysis of scientific activity has resulted in a renewed interest in scientific controversies. Furthermore, the rejection of the presentist view of history, according to which those contestants who took what we can identify, with the benefit of modern knowledge, as the ‘right’ stand in a controversy, were right and their opponents were ‘wrong’, left the subject of scientific controversies with many questions. What determines their (...)
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  26.  15
    Nevin M. Gewertz & Rivka Amado (2004). Intellectual Property and the Pharmaceutical Industry: A Moral Crossroads Between Health and Property. [REVIEW] Journal of Business Ethics 55 (3):295 - 308.
    The moral justification of intellectual property is often called into question when placed in the context of pharmaceutical patents and global health concerns. The theoretical accounts of both John Rawls and Robert Nozick provide an excellent ethical framework from which such questions can be clarified. While Nozick upholds an individual's right to intellectual property, based upon its conformation with Lockean notions of property and Nozick's ideas of just acquisition and transfer, Rawls emphasizes the importance of basic liberties, such as an (...)
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  27. Rivka Amado & Nevin M. Gewertz (2004). Intellectual Property and the Pharmaceutical Industry: A Moral Crossroads Between Health and Property. Journal of Business Ethics 55 (3):295-308.
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  28.  12
    Nevin Kuzu Kurban, Halide Savaş, Bengü Çetinkaya, Türkan Turan & Asiye Kartal (2010). Evaluation of Nursing Students' Training in Medical Law. Nursing Ethics 17 (6):759-768.
    There is no co-ordinated focus on liabilities arising from nurses’ medical interventions in terms of occupational, administrative, civil legal and criminal activities. However, the Turkish Criminal Code, the Turkish Medical Ethics Code of Practice, and guidelines for patients’ rights offer some framework for the relevant ethical principles and responsibilities of nurses. The aim of this study was to investigate the evaluation of nursing students’ training in their legal liabilities. The sample consisted of 309 students who were taking a course entitled (...)
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  29.  15
    Michal Brzezinski & Michal Dzielinski (2009). Is Endogenous Growth Theory Degenerating? Another Look at Lakatosian Appraisal of Growth Theories. Journal of Economic Methodology 16 (3):243-263.
    In a recent paper, Cavusoglu and Tebaldi provided an evaluation of neoclassical and endogenous growth theories according to Lakatos's methodology of scientific research programmes. This paper offers three criticisms of their contribution as well as a rival Lakatosian appraisal of growth theories. First, we hold that Cavusoglu and Tebaldi do not provide a proper structure of theory comparison in their contribution. Second, we argue that they use an inadequate version of Lakatos's appraisal criterion. Third, against the claim of (...)
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  30.  1
    Marta P. Vargas, George W. Noblit, Frances C. Fowler, Dale T. Snauwaert, Barbara Thayer-Bacon, Robert R. Sherman, John H. Scahill, David L. Green, James W. Garrison & Nevin R. Frantz (1993). Book Review Section 2. [REVIEW] Educational Studies 24 (4):363-401.
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  31.  17
    William M. Baum & Suzanne H. Mitchell (2000). Newton and Darwin: Can This Marriage Be Saved? Behavioral and Brain Sciences 23 (1):91-92.
    The insights described by Nevin & Grace may be summarized without reference to the Newtonian concepts they suggest. The metaphor to Newtonian mechanics seems dubious in three ways: (1) extensions seem to lead to paradoxes; (2) many well-known phenomena are ignored; (3) the Newtonian concepts seem difficult to reconcile with the larger framework of evolutionary theory.
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  32.  12
    Charles P. Shimp (2000). Toward a Deconstruction of the Metaphor of Behavioral Momentum. Behavioral and Brain Sciences 23 (1):111-112.
    The metaphor of “behavioral momentum” exemplifies modernism at its best and follows in the wake of countless other applications of Newtonian mechanics and “the machine metaphor” to virtually every aspect of the human condition. Modernism, however, has fallen on hard times. Some of the chief reasons why are implicit in the target article by Nevin & Grace.
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  33.  15
    François Tonneau (2000). Strength, Limits, and Resistance to Change of Operant Theory. Behavioral and Brain Sciences 23 (1):113-114.
    The research Nevin & Grace report is impressive in its integrative power, but it also shows the current limits of operant theory: There is tremendous concentration on understanding how existing behavioral relations are modulated in rate or time allocation, but little on dealing with the origin of the behavioral relations themselves. Specifying what should count as a behavioral unit will require source principles sensitive to the composition of the units being related.
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  34.  8
    F. Charles Mace (2000). Clinical Applications of Behavioral Momentum. Behavioral and Brain Sciences 23 (1):105-106.
    An important measure of the validity and utility of basic behavioral research is the extent to which it can be applied in real life. Basic research on behavioral momentum and the model unifying choice and resistance to change (Nevin & Grace 1999) has stimulated the development of behavioral technologies aimed at increasing the persistence of adaptive behavior and decreasing maladaptive choices.
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  35.  8
    William J. McIlvane & William V. Dube (2000). Behavioral Momentum and Multiple Stimulus Control Topographies. Behavioral and Brain Sciences 23 (1):109-109.
    We have analyzed many discrimination learning difficulties as reflecting multiple stimulus control topographies (SCTs). Nevin & Grace's analysis offers new variables to consider in the design of stimulus-control shaping procedures and cross-setting generalization of newly established behavior. A multiple-SCT perspective also suggests that fixed-trial discrimination procedures may offer advantages for reconciling momentum theory and partial reinforcement extinction effects.
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  36.  7
    Gregory Galbicka & Robert Kessel (2000). Experimenter Momentum and the Effect of Laws. Behavioral and Brain Sciences 23 (1):97-98.
    Nevin & Grace invoke a behavioral metaphor from the physics of momentum. The idealized assumptions they invoke are argued to translate to behavior only in the limited case of steady-state, constant-probability VI responding. Rather than further refine this limit case, mathematical models should be applied to generalizations of the limit case itself, broadening our understanding of behavioral processes.
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  37.  2
    David A. Case (2000). To Augment yet Not Contradict. Behavioral and Brain Sciences 23 (1):93-94.
    Evidence from 45 early studies of resistance to extinction following reinforcement of differing amounts, taken in sum, challenges both the basic and the augmented models of Nevin & Grace. The augmented model seems too ad hoc in salvaging the analogy between persistence in behavior and concepts from physics, as my meta-analysis of these data affirms.
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  38.  7
    Masaharu Takahashi (2000). Preference and Resistance to Change Do Not Always Covary. Behavioral and Brain Sciences 23 (1):112-113.
    Nevin & Grace's primary argument against theory and research on behavioral momentum is that preference and resistance to change may not covary. The method for evaluating preference and resistance to change seems problematic. Moreover, the theory fails to account convincingly for effects of average overall time to primary reinforcement on choice and preference for unsegmented schedules.
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  39.  4
    Marc N. Branch (2000). Gaining (on) Momentum. Behavioral and Brain Sciences 23 (1):92-93.
    Nevin & Grace's approach is an interesting and useful attempt to find ways to measure “core” effects of a history of exposure to reinforcement. The momentum analogy makes intuitive sense, and the evidence for its utility is increasing. Several questions remain, however, about how the analogy will fare in the case of concurrent rather than sequential activities, about the use of extinction as a method to test resistance to change, and about the generality of some of the effects.
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  40.  1
    Scott Hall (2000). Amassing the Masses. Behavioral and Brain Sciences 23 (1):99-100.
    Nevin & Grace (N&G) buttress their metaphor with some good props. However, it is still not clear what momentum is analogous to. If momentum is a measure of strength, then the authors should say so and tell us how to calculate it. Furthermore, if “other” behavior can be introduced into the equation (and N&G's foray into the applied world suggests that it can), it is unclear when the masses are accrued and how much is accrued to each behavior.
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  41.  1
    Julian C. Leslie (2000). Does Conditioned Suppression Measure the Resistance to Change of Operant Behaviour? Behavioral and Brain Sciences 23 (1):103-104.
    Although conditioned suppression has face validity as a technique for assessing resistance to change of operant behaviour, it is not discussed by Nevin & Grace. However, application of their approach to the results of a conditioned suppression study that varied food deprivation and reinforcement magnitude produces paradoxical results.
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  42.  1
    Edmund Fantino (2000). The Role of Context in Choice. Behavioral and Brain Sciences 23 (1):96-97.
    Nevin & Grace identify a difference between the predictions of delay reduction theory and the contingency-ratio account underlying behavioral momentum approaches to choice. This is shown not to be a true difference. The role of the overall context of reinforcement must be carefully incorporated by any theory of choice.
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  43.  2
    Steven L. Cohen (2000). Behavioral Momentum: Issues of Generality. Behavioral and Brain Sciences 23 (1):95-96.
    Nevin & Grace's behavioral-momentum model accommodates a large body of data. This commentary highlights some experimental findings that the model does not always predict. The model does not consistently predict resistance to change when response-independent food is delivered simultaneously with response-contingent food, when drugs are used as response disrupters, and when responding is reinforced under single rather than multiple schedules of reinforcement.
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  44.  1
    Peter R. Killeen (2000). A Passel of Metaphors: “Some Old, Some New, Some Borrowed . . .”. Behavioral and Brain Sciences 23 (1):102-103.
    Despite corrigible details, Nevin & Grace forge a clearer place for persistence as a fundamental attribute of motivated behavior and assay converging experimental operations in its measurement.
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