Results for 'Measures of Confirmation'

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  1. The plurality of bayesian measures of confirmation and the problem of measure sensitivity.Branden Fitelson - 1999 - Philosophy of Science 66 (3):378.
    Contemporary Bayesian confirmation theorists measure degree of (incremental) confirmation using a variety of non-equivalent relevance measures. As a result, a great many of the arguments surrounding quantitative Bayesian confirmation theory are implicitly sensitive to choice of measure of confirmation. Such arguments are enthymematic, since they tacitly presuppose that certain relevance measures should be used (for various purposes) rather than other relevance measures that have been proposed and defended in the philosophical literature. I present (...)
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  2.  65
    Bayesian Measures of Confirmation from Scoring Rules.Steven J. van Enk - 2014 - Philosophy of Science 81 (1):101-113.
    I show how scoring rules, interpreted as measuring the inaccuracy of a set of degrees of belief, may be exploited to construct confirmation measures as used in Bayesian confirmation theory. I construct two confirmation measures from two particular standard scoring rules. One of these measures is genuinely new, the second is trivially ordinally equivalent to the difference measure. These two measures are tested against three well-known measures of confirmation in a simple (...)
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  3.  28
    Milne's measure of confirmation.Stephen Pollard - 1999 - Analysis 59 (4):335-338.
  4.  49
    On Ratio Measures of Confirmation: Critical Remarks on Zalabardo’s Argument for the Likelihood-Ratio Measure.Valeriano Iranzo & Ignacio Martínez de Lejarza - 2013 - Journal for General Philosophy of Science / Zeitschrift für Allgemeine Wissenschaftstheorie 44 (1):193-200.
    There are different Bayesian measures to calculate the degree of confirmation of a hypothesis H in respect of a particular piece of evidence E. Zalabardo (Analysis 69:630–635, 2009) is a recent attempt to defend the likelihood-ratio measure (LR) against the probability-ratio measure (PR). The main disagreement between LR and PR concerns their sensitivity to prior probabilities. Zalabardo invokes intuitive plausibility as the appropriate criterion for choosing between them. Furthermore, he claims that it favours the ordering of pairs evidence/hypothesis (...)
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  5. An argument for the likelihood-ratio measure of confirmation.Jose L. Zalabardo - 2009 - Analysis 69 (4):630-635.
    In the recent literature on confirmation there are two leading approaches to the provision of a probabilistic measure of the degree to which a hypothesis is confirmed by evidence. The first is to construe the degree to which evidence E confirms hypothesis H as a function that is directly proportional to p and inversely proportional to p . I shall refer to this as the probability approach. The second approach construes the notion as a function that is directly proportional (...)
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  6. Log[p(h/eb)/p(h/b)] is the one true measure of confirmation.Peter Milne - 1996 - Philosophy of Science 63 (1):21-26.
    Plausibly, when we adopt a probabilistic standpoint any measure Cb of the degree to which evidence e confirms hypothesis h relative to background knowledge b should meet these five desiderata: Cb > 0 when P > P < 0 when P < P; Cb = 0 when P = P. Cb is some function of the values P and P assume on the at most sixteen truth-functional combinations of e and h. If P < P and P = P then (...)
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  7.  67
    Milne's measure of confirmation.Stephen Pollard - 1999 - Analysis 59 (4):335–338.
  8.  75
    Comparison of confirmation measures.Katya Tentori, Vincenzo Crupi, Nicolao Bonini & Daniel Osherson - 2007 - Cognition 103 (1):107-119.
  9.  59
    A New Argument for the Likelihood Ratio Measure of Confirmation.David H. Glass & Mark McCartney - 2015 - Acta Analytica 30 (1):59-65.
    This paper presents a new argument for the likelihood ratio measure of confirmation by showing that one of the adequacy criteria used in another argument can be replaced by a more plausible and better supported criterion which is a special case of the weak likelihood principle. This new argument is also used to show that the likelihood ratio measure is to be preferred to a measure that has recently received support in the literature.
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  10. A problem for the alternative difference measure of confirmation.Nevin Climenhaga - 2013 - 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 (...)
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  11.  29
    A weak symmetry condition for probabilistic measures of confirmation.Jakob Koscholke - 2018 - Philosophical Studies 175 (8):1927-1944.
    This paper presents a symmetry condition for probabilistic measures of confirmation which is weaker than commutativity symmetry, disconfirmation commutativity symmetry but also antisymmetry. It is based on the idea that for any value a probabilistic measure of confirmation can assign there is a corresponding case where degrees of confirmation are symmetric. It is shown that a number of prominent confirmation measures such as Carnap’s difference function, Rescher’s measure of confirmation, Gaifman’s confirmation rate (...)
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  12.  71
    Earman on old evidence and measures of confirmation.Branden Fitelson - manuscript
    In Bayes or Bust? John Earman quickly dismisses a possible resolution (or avoidance) of the problem of old evidence. In this note, I argue that his dismissal is premature, and that the proposed resolution (when charitably reconstructed) is reasonable.
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  13.  71
    Independent Tests and the Log‐Likelihood‐Ratio Measure of Confirmation.Alexander R. Pruss - 2014 - Thought: A Journal of Philosophy 3 (2):124-135.
    I shall offer some very plausible assumptions for the measure of confirmation and show that they imply that E confirms H relative to background K to degree f/PK), where f is a strictly increasing function. An additional assumption about how measures of confirmation combine then makes f be proportional to a logarithm.
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  14. Measuring Degrees of Confirmation.George N. Schlesinger - 1995 - Analysis 55 (3):208 - 212.
  15. Probabilistic measures of coherence: from adequacy constraints towards pluralism.Michael Schippers - 2014 - Synthese 191 (16):3821-3845.
    The debate on probabilistic measures of coherence flourishes for about 15 years now. Initiated by papers that have been published around the turn of the millennium, many different proposals have since then been put forward. This contribution is partly devoted to a reassessment of extant coherence measures. Focusing on a small number of reasonable adequacy constraints I show that (i) there can be no coherence measure that satisfies all constraints, and that (ii) subsets of these adequacy constraints motivate (...)
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  16. Theories and the transitivity of confirmation.Mary Hesse - 1970 - Philosophy of Science 37 (1):50-63.
    Hempel's qualitative criteria of converse consequence and special consequence for confirmation are examined, and the resulting paradoxes traced to the general intransitivity of confirmation. Adopting a probabilistic measure of confirmation, a limiting form of transitivity of confirmation from evidence to predictions is derived, and it is shown to what extent its application depends on prior probability judgments. In arguments involving this kind of transitivity therefore there is no necessary "convergence of opinion" in the sense claimed by (...)
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  17.  7
    The Measurement of Individual Differences in Cognitive Biases: A Review and Improvement.Vincent Berthet - 2021 - Frontiers in Psychology 12:630177.
    Individual differences have been neglected in decision-making research on heuristics and cognitive biases. Addressing that issue requires having reliable measures. The author first reviewed the research on the measurement of individual differences in cognitive biases. While reliable measures of a dozen biases are currently available, our review revealed that some measures require improvement and measures of other key biases are still lacking (e.g., confirmation bias). We then conducted empirical work showing that adjustments produced a significant (...)
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  18. Jaakko Hintikka.Paradoxes Of Confirmation - 1969 - In Nicholas Rescher (ed.), Essays in Honor of Carl G. Hempel. Reidel. pp. 24.
  19. Measurement of negative attitudes toward robots.Tatsuya Nomura, Tomohiro Suzuki, Takayuki Kanda & Kensuke Kato - 2006 - Interaction Studies. Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies / Social Behaviour and Communication in Biological and Artificial Systemsinteraction Studies 7 (3):437-454.
    A great deal of research has been performed recently on robots that feature functions for communicating with humans in daily life, i.e., communication robots. We consider it important to develop methods to measure humans’ attitudes and emotions that may prevent them from interaction with communication robots, as indices to study short-term and long-term interaction between humans and communication robots. This study is aimed at exploring the influence of negative attitudes toward robots, focusing on applications of communication robots to daily-life services. (...)
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  20. What Is the Point of Confirmation?Franz Huber - 2005 - Philosophy of Science 72 (5):1146-1159.
    Philosophically, one of the most important questions in the enterprise termed confirmation theory is this: Why should one stick to well confirmed theories rather than to any other theories? This paper discusses the answers to this question one gets from absolute and incremental Bayesian confirmation theory. According to absolute confirmation, one should accept ''absolutely well confirmed'' theories, because absolute confirmation takes one to true theories. An examination of two popular measures of incremental confirmation suggests (...)
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  21. On bayesian measures of evidential support: Theoretical and empirical issues.Vincenzo Crupi, Katya Tentori & and Michel Gonzalez - 2007 - Philosophy of Science 74 (2):229-252.
    Epistemologists and philosophers of science have often attempted to express formally the impact of a piece of evidence on the credibility of a hypothesis. In this paper we will focus on the Bayesian approach to evidential support. We will propose a new formal treatment of the notion of degree of confirmation and we will argue that it overcomes some limitations of the currently available approaches on two grounds: (i) a theoretical analysis of the confirmation relation seen as an (...)
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  22. On coherent sets and the transmission of confirmation.Franz Dietrich & Luca Moretti - 2005 - Philosophy of Science 72 (3):403-424.
    In this paper, we identify a new and mathematically well-defined sense in which the coherence of a set of hypotheses can be truth-conducive. Our focus is not, as usual, on the probability but on the confirmation of a coherent set and its members. We show that, if evidence confirms a hypothesis, confirmation is “transmitted” to any hypotheses that are sufficiently coherent with the former hypothesis, according to some appropriate probabilistic coherence measure such as Olsson’s or Fitelson’s measure. Our (...)
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  23. The Confirmational Significance of Agreeing Measurements.Casey Helgeson - 2013 - Philosophy of Science 80 (5):721-732.
    Agreement between "independent" measurements of a theoretically posited quantity is intuitively compelling evidence that a theory is, loosely speaking, on the right track. But exactly what conclusion is warranted by such agreement? I propose a new account of the phenomenon's epistemic significance within the framework of Bayesian epistemology. I contrast my proposal with the standard Bayesian treatment, which lumps the phenomenon under the heading of "evidential diversity".
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  24.  64
    Shogenji’s measure of justification and the inverse conjunction fallacy.Martin Jönsson & Elias Assarsson - 2013 - Synthese 190 (15):3075-3085.
    This paper takes issue with a recent proposal due to Shogenji (Synthese 184:29–48, 2012). In his paper, Shogenji introduces J, a normatively motivated formal measure of justification (and of confirmation), and then proceeds to recruit it descriptively in an explanation of the conjunction fallacy. We argue that this explanation is undermined by the fact that it cannot be extended in any natural way to the inverse conjunction fallacy, a more recently discovered, closely related fallacy. We point out that since (...)
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  25.  99
    Measurement of Motivation States for Physical Activity and Sedentary Behavior: Development and Validation of the CRAVE Scale.Matthew A. Stults-Kolehmainen, Miguel Blacutt, Nia Fogelman, Todd A. Gilson, Philip R. Stanforth, Amanda L. Divin, John B. Bartholomew, Alberto Filgueiras, Paul C. McKee, Garrett I. Ash, Joseph T. Ciccolo, Line Brotnow Decker, Susannah L. Williamson & Rajita Sinha - 2021 - Frontiers in Psychology 12.
    Physical activity, and likely the motivation for it, varies throughout the day. The aim of this investigation was to create a short assessment (CRAVE: Cravings for Rest and Volitional Energy Expenditure) to measure motivation states (wants, desires, urges) for physical activity and sedentary behaviors. Five studies were conducted to develop and evaluate the construct validity and reliability of the scale, with 1,035 participants completing the scale a total of 1,697 times. In Study 1, 402 university students completed a questionnaire inquiring (...)
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  26.  55
    Epistemic inconsistency and categorical coherence: a study of probabilistic measures of coherence.Michael Hughes - 2017 - Synthese 194 (8):3153-3185.
    Is logical consistency required for a set of beliefs or propositions to be categorically coherent? An affirmative answer is often assumed by mainstream epistemologists, and yet it is unclear why. Cases like the lottery and the preface call into question the assumption that beliefs must be consistent in order to be epistemically rational. And thus it is natural to wonder why all inconsistent sets of propositions are incoherent. On the other hand, Easwaran and Fitelson have shown that particular kinds of (...)
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  27. Confirmation and justification. A commentary on Shogenji’s measure.David Atkinson - 2012 - Synthese 184 (1):49-61.
    So far no known measure of confirmation of a hypothesis by evidence has satisfied a minimal requirement concerning thresholds of acceptance. In contrast, Shogenji’s new measure of justification (Shogenji, Synthese, this number 2009) does the trick. As we show, it is ordinally equivalent to the most general measure which satisfies this requirement. We further demonstrate that this general measure resolves the problem of the irrelevant conjunction. Finally, we spell out some implications of the general measure for the Conjunction Effect; (...)
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  28.  19
    A definition of degree of confirmation for very rich languages.Hilary Putnam - 1956 - Philosophy of Science 23 (1):58-62.
    Carnap's system of inductive logic has very often been criticized on the ground that “degree of confirmation” is defined only for languages which are extremely over-simplified. Allegedly, it would be very difficult—and perhaps impossible—to define it adequately for languages formalized within the higher predicate calculi, or languages equivalent to these in richness, and it is such languages that would be needed were we ever to formalize the language of empirical science as a whole. Thus, this criticism bears not only (...)
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  29.  29
    A new multidimensional measure of personal resilience and its use: C hinese nurse resilience, organizational socialization and career success.Wei Wei & Robert J. Taormina - 2014 - Nursing Inquiry 21 (4):346-357.
    This study refined the concept of resilience and developed four valid and reliable subscales to measure resilience, namely, Determination, Endurance, Adaptability and Recuperability. The study also assessed their hypothesized relationships with six antecedent variables (worry, physiological needs satisfaction, organizational socialization, conscientiousness, future orientation and Chinese values) and with one outcome variable (nurses’ career success). The four new 10‐item subscale measures of personal resilience were constructed based on their operational definitions and tested for their validity and reliability. All items were (...)
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  30. Bruno de finetti.A. Short Confirmation of My Standpoint - 1979 - In Maurice Allais & Ole Hagen (eds.), Expected Utility Hypotheses and the Allais Paradox. D. Reidel. pp. 161.
  31.  10
    Implicit and Explicit Measurement of Work-Related Age Attitudes and Age Stereotypes.Verena Kleissner & Georg Jahn - 2020 - Frontiers in Psychology 11:579155.
    Age attitudes and age stereotypes in the workplace can lead to discrimination and impaired productivity. Previous studies have predominantly assessed age stereotypes with explicit measures. However, sole explicit measurement is insufficient because of social desirability and potential inaccessibility of stereotypical age evaluations to introspection. We aimed to advance the implicit and explicit assessment of work-related evaluations of age groups and age stereotypes and report data collected in three samples: students (n = 50), older adults (n = 53), and workers (...)
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  32.  81
    State of the field: Measuring information and confirmation.Vincenzo Crupi & Katya Tentori - 2014 - Studies in History and Philosophy of Science Part A 47 (C):81-90.
  33. Measuring confirmation.David Christensen - 1999 - Journal of Philosophy 96 (9):437-461.
    The old evidence problem affects any probabilistic confirmation measure based on comparing pr(H/E) and pr(H). The article argues for the following points: (1) measures based on likelihood ratios also suffer old evidence difficulties; (2) the less-discussed synchronic old evidence problem is, in an important sense, the most acute; (3) prominent attempts to solve or dissolve the synchronic problem fail; (4) a little-discussed variant of the standard measure avoids the problem, in an appealing way; and (5) this measure nevertheless (...)
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  34.  29
    Generalized Confirmation and Relevance Measures.Vincenzo Crupi - 2017 - In Michela Massimi, Jan-Willem Romeijn & Gerhard Schurz (eds.), EPSA15 Selected Papers: The 5th conference of the European Philosophy of Science Association in Düsseldorf. Cham: Springer. pp. 285-295.
    The main point of the paper is to show how popular probabilistic measures of incremental confirmation and statistical relevance with qualitatively different features can be embedded smoothly in generalized parametric families. In particular, I will show that the probability difference, log probability ratio, log likelihood ratio, odds difference, so-called improbability difference, and Gaifman’s measures of confirmation can all be subsumed within a convenient biparametric continuum. One intermediate step of this project may have interest on its own, (...)
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  35. Confirmation, Increase in Probability, and the Likelihood Ratio Measure: a Reply to Glass and McCartney.William Roche - 2017 - Acta Analytica 32 (4):491-513.
    Bayesian confirmation theory is rife with confirmation measures. Zalabardo focuses on the probability difference measure, the probability ratio measure, the likelihood difference measure, and the likelihood ratio measure. He argues that the likelihood ratio measure is adequate, but each of the other three measures is not. He argues for this by setting out three adequacy conditions on confirmation measures and arguing in effect that all of them are met by the likelihood ratio measure but (...)
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  36. Comments and Criticism: Measuring Confirmation and Evidence.Ellery Eells & Branden Fitelson - 2000 - Journal of Philosophy 97 (12):663-672.
    Bayesian epistemology suggests various ways of measuring the support that a piece of evidence provides a hypothesis. Such measures are defined in terms of a subjective probability assignment, pr, over propositions entertained by an agent. The most standard measure (where “H” stands for “hypothesis” and “E” stands for “evidence”) is: the difference measure: d(H,E) = pr(H/E) - pr(H).0 This may be called a “positive (probabilistic) relevance measure” of confirmation, since, according to it, a piece of evidence E qualitatively (...)
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  37. is a set B with Boolean operations a∨ b (join), a∧ b (meet) and− a (complement), partial ordering a≤ b defined by a∧ b= a and the smallest and greatest element, 0 and 1. By Stone's Representation Theorem, every Boolean algebra is isomorphic to an algebra of subsets of some nonempty set S, under operations a∪ b, a∩ b, S− a, ordered by inclusion, with 0=∅. [REVIEW]Mystery Of Measurability - 2006 - Bulletin of Symbolic Logic 12 (2).
  38.  26
    Measuring constants of nature: confirmation and determination in piezoelectricity.Shaul Katzir - 2003 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 34 (4):579-606.
    Exact measurements are a central practice of modern physics. In certain cases, they are essential for determining values of coefficients, for confirming theories, and for detecting the existence of effects. The history of piezoelectricity at the end of the nineteenth century reveals two different methods of exact measurement: a mathematical versus an “artisanal” approach. In the former, a scientist first carried out the experiment and later employed mathematical methods to reduce error. In the latter, a scientist physically manipulated the experimental (...)
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  39.  52
    Confirmation Measures and Sensitivity.Olav B. Vassend - 2015 - Philosophy of Science 82 (5):892-904.
    Stanley Stevens draws a useful distinction among ordinal scales, interval scales, and ratio scales. Most recent discussions of confirmation measures have proceeded on the ordinal level of analysis. In this article, I give a more quantitative analysis. In particular, I show that the requirement that our desired confirmation measure be at least an interval measure naturally yields necessary conditions that jointly entail the log-likelihood measure. Thus, I conclude that the log-likelihood measure is the only good candidate interval (...)
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  40. Measuring Confirmation and Evidence.Ellery Elles & Branden Fitelson - 2000 - Journal of Philosophy 97 (12):663-672.
  41.  37
    Developing the Sense of Agency Rating Scale (SOARS): An empirical measure of agency disruption in hypnosis.Vince Polito, Amanda J. Barnier & Erik Z. Woody - 2013 - Consciousness and Cognition 22 (3):684-696.
    Two experiments report on the construction of the Sense of Agency Rating Scale (SOARS), a new measure for quantifying alterations to agency. In Experiment 1, 370 participants completed a preliminary version of the scale following hypnosis. Factor analysis revealed two underlying factors: Involuntariness and Effortlessness. In Experiment 2, this two factor structure was confirmed in a sample of 113 low, medium and high hypnotisable participants. The two factors, Involuntariness and Effortlessness, correlated significantly with hypnotisability and pass rates for ideomotor, challenge (...)
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  42.  31
    The Ethical Standards of Judgment Questionnaire: Development and Validation of Independent Measures of Formalism and Consequentialism.Ed Love, Tara Ceranic Salinas & Jeff D. Rotman - 2020 - Journal of Business Ethics 161 (1):115-132.
    The ethical frameworks of consequentialism and formalism predict moral awareness and behavior in individuals, but current measures either do not treat these frameworks as independent or lack sufficient theoretical underpinnings and statistical dependability. This paper presents the development and validation of a new scale to measure consequentialism and formalism that is well grounded in prior research. The Ethical Standards of Judgement Questionnaire is validated via six studies. Measurement items are developed in the first three studies, which also confirm the (...)
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  43. Measuring confirmation and evidence.Ellery Eells & Branden Fitelson - 2000 - Journal of Philosophy 97 (12):663-672.
  44.  11
    In vivo Measurements of Electric Fields During Cranial Electrical Stimulation in the Human Brain.Minmin Wang, Tao Feng, Hongjie Jiang, Junming Zhu, Wuwei Feng, Pratik Y. Chhatbar, Jianmin Zhang & Shaomin Zhang - 2022 - Frontiers in Human Neuroscience 16.
    Cranial electrical stimulation has been applied at various current levels in both adults and children with neurological conditions with seemingly promising but somewhat inconsistent results. Stimulation-induced spatial electric fields within a specific brain region are likely a significant contributing factor for the biological effects. Although several simulation models have been used to predict EF distributions in the brain, these models actually have not been validated by in vivo CES-induced EF measurements in the live human brain. This study directly measured the (...)
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    Developing, Validating, and Applying a Measure of Human Quality Treatment.Peter McGhee, Jarrod Haar, Kemi Ogunyemi & Patricia Grant - 2022 - Journal of Business Ethics 185 (3):647-663.
    Human Quality Treatment (HQT) is a theoretical approach expressing different ways of dealing with employees within an organization and is embedded in humanistic management tenants of dignity, care, and personal development, seeking to produce morally excellent employees. We build on the theoretical exposition and present a measure of HQT-Scale across several studies including cross-culturally to enhance confidence in our results. Our first study generates the 25 items for the HQT-Scale and provides initial support for the items. We then followed up (...)
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  46.  14
    The Ethical Standards of Judgment Questionnaire: Development and Validation of Independent Measures of Formalism and Consequentialism.Ed Love, Tara Ceranic Salinas & Jeff D. Rotman - 2020 - Journal of Business Ethics 161 (1):115-132.
    The ethical frameworks of consequentialism and formalism predict moral awareness and behavior in individuals, but current measures either do not treat these frameworks as independent or lack sufficient theoretical underpinnings and statistical dependability. This paper presents the development and validation of a new scale to measure consequentialism and formalism that is well grounded in prior research. The Ethical Standards of Judgement Questionnaire is validated via six studies. Measurement items are developed in the first three studies, which also confirm the (...)
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  47.  11
    Measuring constants of nature: confirmation and determination in piezoelectricity.Shaul Katzir - 2003 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 34 (4):579-606.
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  48.  8
    Psychometric Challenges in the Measurement of Constructs Underlying Criminal Responsibility in Children and Young Adults: A Cross-Sectional Study.Yuxi Shang, Yumiao Fu, Beibei Ma, Li Wang & Dexin Wang - 2022 - Frontiers in Psychology 12.
    At present, many countries have lowered the minimum age of criminal responsibility to deal with the trend of juvenile crime. In practical terms, whether countries advocate for lowering the age of criminal responsibility along with early puberty, or regulating the minimum age of juvenile criminal responsibility through their policies, their deep-rooted hypothesis is that age is tied to adolescents’ psychological growth, and, with the rise in age, the capacity for dialectical thinking, self-control, and empathy gradually improves. With this study, we (...)
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    The Three Teachings of East Asia (TTEA) Inventory: Developing and Validating a Measure of the Interrelated Ideologies of Confucianism, Buddhism, and Taoism.Yi-Ying Lin, Dena Phillips Swanson & Ronald David Rogge - 2021 - Frontiers in Psychology 12.
    Objectives:Buddhism, Taoism, and Confucianism have influenced societies and shaped cultures as they have spread across the span of history and ultimately across the world. However, to date, the interrelated nature of their impacts has yet to be examined largely due to the lack of a measure that comprehensively assesses their various tenets. Building on a conceptual integration of foundational texts on each ideology as well as on recent measure development work (much of which is unpublished), the current studies developed a (...)
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  50. Development and Validation of a Self-Determination Theory-Based Measure of Motivation to Exercise and Diet in Children.Giada Pietrabissa, Alessandro Rossi, Maria Borrello, Gian Mauro Manzoni, Stefania Mannarini, Gianluca Castelnuovo & Enrico Molinari - 2020 - Frontiers in Psychology 11.
    Objective: to develop and test the factorial structure of a new self-determination theory-based measure of behavioral regulation in children. Method: 590 (F = 51.7%) children aged 7-11 years completed the Motivation to Exercise and Diet (MED-C) questionnaire, which comprises 16 items (8 for exercise and 8 for diet) grouped into eight-factors (5 motivations and 3 needs). Psychometric testing included confirmatory factor analysis and internal consistency. Measurement invariance analyses were also performed to evaluate whether the factorial structure of the MED-C was (...)
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