The Experts below are selected from a list of 285 Experts worldwide ranked by ideXlab platform

Adalberto Merighi - One of the best experts on this subject based on the ideXlab platform.

  • practical mechanical threshold estimation in rodents using von frey hairs semmes weinstein monofilaments towards a rational method
    Journal of Neuroscience Methods, 2015
    Co-Authors: Matthew J.g. Bradman, Chiara Salio, Francesco Ferrini, Adalberto Merighi
    Abstract:

    Abstract Here, we reconsider the status quo in testing mechanical sensitivity with von Frey's hairs. The aim is to improve paw withdrawal estimates by integrating current Psychometric Theory, and to maximise the clinical relevance and statistical power of mechanosensory models. A wealth of research into human tactile stimulus perception may be extended to the quantification of laboratory animal behaviour. We start by reviewing each step of the test, from its design and application through to data analysis. Filament range is assessed as a whole; possible test designs are compared; techniques of filament application to mice and rats are considered; curve fitting software is introduced; possibilities for data pooling and curve fitting are evaluated. A rational update of classical methods in line with recent advances in Psychometrics and supported by open source software is expected to improve data homogeneity, and Reduce and Refine animal use in accord with the ‘3R’ principles.

  • Practical mechanical threshold estimation in rodents using von Frey hairs/Semmes-Weinstein monofilaments: Towards a rational method
    Journal of Neuroscience Methods, 2015
    Co-Authors: Matthew J.g. Bradman, Chiara Salio, Francesco Ferrini, Adalberto Merighi
    Abstract:

    Here, we reconsider the status quo in testing mechanical sensitivity with von Frey's hairs. The aim is to improve paw withdrawal estimates by integrating current Psychometric Theory, and to maximise the clinical relevance and statistical power of mechanosensory models. A wealth of research into human tactile stimulus perception may be extended to the quantification of laboratory animal behaviour. We start by reviewing each step of the test, from its design and application through to data analysis. Filament range is assessed as a whole possible test designs are compared; techniques of filament application to mice and rats are considered; curve fitting software is introduced; possibilities for data pooling and curve fitting are evaluated. A rational update of classical methods in line with recent advances in Psychometrics and supported by open source software is expected to improve data homogeneity, and Reduce and Refine animal use in accord with the '3R' principles.

Matthew J.g. Bradman - One of the best experts on this subject based on the ideXlab platform.

  • practical mechanical threshold estimation in rodents using von frey hairs semmes weinstein monofilaments towards a rational method
    Journal of Neuroscience Methods, 2015
    Co-Authors: Matthew J.g. Bradman, Chiara Salio, Francesco Ferrini, Adalberto Merighi
    Abstract:

    Abstract Here, we reconsider the status quo in testing mechanical sensitivity with von Frey's hairs. The aim is to improve paw withdrawal estimates by integrating current Psychometric Theory, and to maximise the clinical relevance and statistical power of mechanosensory models. A wealth of research into human tactile stimulus perception may be extended to the quantification of laboratory animal behaviour. We start by reviewing each step of the test, from its design and application through to data analysis. Filament range is assessed as a whole; possible test designs are compared; techniques of filament application to mice and rats are considered; curve fitting software is introduced; possibilities for data pooling and curve fitting are evaluated. A rational update of classical methods in line with recent advances in Psychometrics and supported by open source software is expected to improve data homogeneity, and Reduce and Refine animal use in accord with the ‘3R’ principles.

  • Practical mechanical threshold estimation in rodents using von Frey hairs/Semmes-Weinstein monofilaments: Towards a rational method
    Journal of Neuroscience Methods, 2015
    Co-Authors: Matthew J.g. Bradman, Chiara Salio, Francesco Ferrini, Adalberto Merighi
    Abstract:

    Here, we reconsider the status quo in testing mechanical sensitivity with von Frey's hairs. The aim is to improve paw withdrawal estimates by integrating current Psychometric Theory, and to maximise the clinical relevance and statistical power of mechanosensory models. A wealth of research into human tactile stimulus perception may be extended to the quantification of laboratory animal behaviour. We start by reviewing each step of the test, from its design and application through to data analysis. Filament range is assessed as a whole possible test designs are compared; techniques of filament application to mice and rats are considered; curve fitting software is introduced; possibilities for data pooling and curve fitting are evaluated. A rational update of classical methods in line with recent advances in Psychometrics and supported by open source software is expected to improve data homogeneity, and Reduce and Refine animal use in accord with the '3R' principles.

Hansdieter Daniel - One of the best experts on this subject based on the ideXlab platform.

  • funding decision making systems an empirical comparison of continuous and dichotomous approaches based on Psychometric Theory
    Research Evaluation, 2016
    Co-Authors: Rudiger Mutz, Lutz Bornmann, Hansdieter Daniel
    Abstract:

    Psychometrics questions the use of dichotomous decisions. For these reasons, De Los Reyes and Wang (2012) favour a continuous funding decision system, in which the funded percentage of a requested grant sum is coupled to the ratings that a proposal receives in the ex ante peer evaluation. In contrast to the 'winner takes all' philosophy in a dichotomous funding decision system, a continuous system takes the low reliability of peer review ratings into account. Funding decisions are mostly based on peer review rating systems that have rather low inter-rater reliability. This article aims to use Psychometrics to simulate the two funding decision systems, to compare them to the funding decision system implemented by a real funding organization, and with this, to investigate for the first time the effects of measurement errors on funding decisions. We used peer review data from the Austrian Science Fund (FWF) (N = 8,496 proposals), which obviously implements a hybrid funding decision system. The approval rate at FWF is 44.5%; our findings show that the approval rate would be 32.1% using a purely dichotomous system and 58.4% using a continuous funding decision system. As the funded percentage of a proposal's requested grant sum increases with increasing mean ex ante peer evaluation of a proposal (r = 0.23), the FWF also shows elements of a continuous funding decision system. Relative to a continuous system, a dichotomous system reduces the approval probability of a proposal overall. This is even the case for high-quality proposals (approval probability  ∼0.70).

Denny Borsboom - One of the best experts on this subject based on the ideXlab platform.

  • Cognitive Psychology Meets Psychometric Theory: On the Relation Between Process Models for Decision Making and Latent Variable Models for Individual Differences
    Psychological Review, 2011
    Co-Authors: Han L.j. Van Der Maas, Dylan Molenaar, Rogier A. Kievit, Gunter Maris, Denny Borsboom
    Abstract:

    This article analyzes latent variable models from a cognitive psychology perspective. We start by discussing work by Tuerlinckx and De Boeck (2005), who proved that a diffusion model for 2-choice response processes entails a 2-parameter logistic item response Theory (IRT) model for individual differences in the response data. Following this line of reasoning, we discuss the appropriateness of IRT for measuring abilities and bipolar traits, such as pro versus contra attitudes. Surprisingly, if a diffusion model underlies the response processes, IRT models are appropriate for bipolar traits but not for ability tests. A reconsideration of the concept of ability that is appropriate for such situations leads to a new item response model for accuracy and speed based on the idea that ability has a natural zero point. The model implies fundamentally new ways to think about guessing, response speed, and person fit in IRT. We discuss the relation between this model and existing models as well as implications for psychology and Psychometrics.

Chiara Salio - One of the best experts on this subject based on the ideXlab platform.

  • practical mechanical threshold estimation in rodents using von frey hairs semmes weinstein monofilaments towards a rational method
    Journal of Neuroscience Methods, 2015
    Co-Authors: Matthew J.g. Bradman, Chiara Salio, Francesco Ferrini, Adalberto Merighi
    Abstract:

    Abstract Here, we reconsider the status quo in testing mechanical sensitivity with von Frey's hairs. The aim is to improve paw withdrawal estimates by integrating current Psychometric Theory, and to maximise the clinical relevance and statistical power of mechanosensory models. A wealth of research into human tactile stimulus perception may be extended to the quantification of laboratory animal behaviour. We start by reviewing each step of the test, from its design and application through to data analysis. Filament range is assessed as a whole; possible test designs are compared; techniques of filament application to mice and rats are considered; curve fitting software is introduced; possibilities for data pooling and curve fitting are evaluated. A rational update of classical methods in line with recent advances in Psychometrics and supported by open source software is expected to improve data homogeneity, and Reduce and Refine animal use in accord with the ‘3R’ principles.

  • Practical mechanical threshold estimation in rodents using von Frey hairs/Semmes-Weinstein monofilaments: Towards a rational method
    Journal of Neuroscience Methods, 2015
    Co-Authors: Matthew J.g. Bradman, Chiara Salio, Francesco Ferrini, Adalberto Merighi
    Abstract:

    Here, we reconsider the status quo in testing mechanical sensitivity with von Frey's hairs. The aim is to improve paw withdrawal estimates by integrating current Psychometric Theory, and to maximise the clinical relevance and statistical power of mechanosensory models. A wealth of research into human tactile stimulus perception may be extended to the quantification of laboratory animal behaviour. We start by reviewing each step of the test, from its design and application through to data analysis. Filament range is assessed as a whole possible test designs are compared; techniques of filament application to mice and rats are considered; curve fitting software is introduced; possibilities for data pooling and curve fitting are evaluated. A rational update of classical methods in line with recent advances in Psychometrics and supported by open source software is expected to improve data homogeneity, and Reduce and Refine animal use in accord with the '3R' principles.