The Experts below are selected from a list of 2397 Experts worldwide ranked by ideXlab platform
Istvan Tomon - One of the best experts on this subject based on the ideXlab platform.
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turan type results for complete h partite graphs in comparability and Incomparability graphs
Order, 2016Co-Authors: Istvan TomonAbstract:We consider an h-partite version of Dilworth’s theorem with multiple partial orders. Let P be a finite set, and let n1−γ(α), where γ(α) → 0 as α → 1. We provide a few applications of these results in combinatorial geometry, as well.
Ajay Tandon - One of the best experts on this subject based on the ideXlab platform.
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enhancing the validity and cross cultural comparability of measurement in survey research
Social Science Research Network, 2008Co-Authors: Gary King, Christopher J L Murray, Joshua A Salomon, Ajay TandonAbstract:We address two long-standing survey research problems: measuring complicated concepts, such as political freedom or efficacy, that researchers define best with reference to examples; and what to do when respondents interpret identical questions in different ways. Scholars have long addressed these problems with approaches to reduce Incomparability, such as writing more concrete questions - with uneven success. Our alternative is to measure directly response category Incomparability and to correct for it. We measure Incomparability via respondents' assessments, on the same scale as the self-assessments to be corrected, of hypothetical individuals described in short vignettes. Since actual levels of the vignettes are invariant over respondents, variability in vignette answers reveals Incomparability. Our corrections require either simple recodes or a statistical model designed to save survey administration costs. With analysis, simulations, and cross-national surveys, we show how response Incomparability can drastically mislead survey researchers and how our approach can fix them.
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enhancing the validity and cross cultural comparability of measurement in survey research
American Political Science Review, 2003Co-Authors: Gary King, Christopher J L Murray, Joshua A Salomon, Ajay TandonAbstract:We address two long-standing survey research problems: measuring complicated concepts, such as political freedom and efficacy, that researchers define best with reference to examples; and what to do when respondents interpret identical questions in different ways. Scholars have long addressed these problems with approaches to reduce Incomparability, such as writing more concrete questions—with uneven success. Our alternative is to measure directly response category Incomparability and to correct for it. We measure Incomparability via respondents’ assessments, on the same scale as the self-assessments to be corrected, of hypothetical individuals described in short vignettes. Because the actual (but not necessarily reported) levels of the vignettes are invariant over respondents, variability in vignette answers reveals Incomparability. Our corrections require either simple recodes or a statistical model designed to save survey administration costs. With analysis, simulations, and cross-national surveys, we show how response Incomparability can drastically mislead survey researchers and how our approach can alleviate this problem.
Jiajun Lai - One of the best experts on this subject based on the ideXlab platform.
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linguistic truth valued lattice valued propositional logic system l p x based on linguistic truth valued lattice implication algebra
Information Sciences, 2010Co-Authors: Jiajun LaiAbstract:In the semantics of natural language, quantification may have received more attention than any other subject, and syllogistic reasoning is one of the main topics in many-valued logic studies on inference. Particularly, lattice-valued logic, a kind of important non-classical logic, can be applied to describe and treat Incomparability by the incomparable elements in its truth-valued set. In this paper, we first focus on some properties of linguistic truth-valued lattice implication algebra. Secondly, we introduce some concepts of linguistic truth-valued lattice-valued propositional logic system @?P(X), whose truth-valued domain is a linguistic truth-valued lattice implication algebra. Then we investigate the semantic problem of @?P(X). Finally, we further probe into the syntax of linguistic truth-valued lattice-valued propositional logic system @?P(X), and prove the soundness theorem, deduction theorem and consistency theorem.
Yoonjae Whang - One of the best experts on this subject based on the ideXlab platform.
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somewhere between utopia and dystopia choosing from multiple incomparable prospects
Journal of Business & Economic Statistics, 2020Co-Authors: Gordon Anderson, Thierry Post, Yoonjae WhangAbstract:In many fields of decision making, choices have to be made from multiple alternatives, but stochastic dominance rules do not yield a complete ordering due to Incomparability of some or all of the p...
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somewhere between utopia and dystopia choosing from multiple incomparable prospects
Research Papers in Economics, 2018Co-Authors: Gordon Anderson, Thierry Post, Yoonjae WhangAbstract:In many fields of decision making, choices have to be made from multiple alternatives, but stochastic dominance rules do not yield a complete ordering due to Incomparability of some or all of the prospects. For ranking incomparable prospects, a i®UtopiaIndexi¯ measuring the proximity to a lower envelope of integrated distribution functions is proposed. Economic interpretations in terms of Expected Utility are provided for the envelope and deviations from it. The analysis generalizes the existing Almost Stochastic Dominance concept from pairwise comparison to a joint analysis of an arbitrary number of prospects. The limit distribution fortheempiricalcounterpart of the index for a general class of dynamic processes is derived together with a con- sistent and feasible inference procedure based on subsampling techniques. Empirical applications to Chinese household income data and historical investment returns data show that, in every choice set, a single prospect is ranked above all alternatives at conventional significance levels, despite the Incomparability problem.
Gary King - One of the best experts on this subject based on the ideXlab platform.
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enhancing the validity and cross cultural comparability of measurement in survey research
Social Science Research Network, 2008Co-Authors: Gary King, Christopher J L Murray, Joshua A Salomon, Ajay TandonAbstract:We address two long-standing survey research problems: measuring complicated concepts, such as political freedom or efficacy, that researchers define best with reference to examples; and what to do when respondents interpret identical questions in different ways. Scholars have long addressed these problems with approaches to reduce Incomparability, such as writing more concrete questions - with uneven success. Our alternative is to measure directly response category Incomparability and to correct for it. We measure Incomparability via respondents' assessments, on the same scale as the self-assessments to be corrected, of hypothetical individuals described in short vignettes. Since actual levels of the vignettes are invariant over respondents, variability in vignette answers reveals Incomparability. Our corrections require either simple recodes or a statistical model designed to save survey administration costs. With analysis, simulations, and cross-national surveys, we show how response Incomparability can drastically mislead survey researchers and how our approach can fix them.
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enhancing the validity and cross cultural comparability of measurement in survey research
American Political Science Review, 2003Co-Authors: Gary King, Christopher J L Murray, Joshua A Salomon, Ajay TandonAbstract:We address two long-standing survey research problems: measuring complicated concepts, such as political freedom and efficacy, that researchers define best with reference to examples; and what to do when respondents interpret identical questions in different ways. Scholars have long addressed these problems with approaches to reduce Incomparability, such as writing more concrete questions—with uneven success. Our alternative is to measure directly response category Incomparability and to correct for it. We measure Incomparability via respondents’ assessments, on the same scale as the self-assessments to be corrected, of hypothetical individuals described in short vignettes. Because the actual (but not necessarily reported) levels of the vignettes are invariant over respondents, variability in vignette answers reveals Incomparability. Our corrections require either simple recodes or a statistical model designed to save survey administration costs. With analysis, simulations, and cross-national surveys, we show how response Incomparability can drastically mislead survey researchers and how our approach can alleviate this problem.
