Development of an evidence-based conceptual framework for workplace assessment

One solution to the underutilization of workplace accommodations is to use teleconferencing technology to conduct remote assessments, effectively expanding the geographical area that experienced rehabilitation specialists can cover. However, such an effort requires a highly structured and comprehensive assessment protocol. This paper reports on the analysis of 53 existing assessments to develop a conceptual framework for assessment and the use of that framework to evaluate the applicability of 10 work-related assessment protocols for remote tele-assessment. While none of the 10 protocols were found to be sufficiently comprehensive for our purposes, the conceptual framework itself will serve as an important tool to structure a new comprehensive protocol that will be developed. Moreover, the framework can also be used by providers of workplace assessments to evaluate the suitability of any assessment protocol to meet the needs of any particular individual or workplace situation.     

On extending bock's model of logistic regression in the analysis of categorical data

A general class of multiple logistic regression models is reviewed and an extension is proposed which leads to restricted maximum likelihood estimates of model parameters. Examples of thegeneral model are given, with an emphasis placed on the interpretation of the parameters in each case.     

A New Approach to Importance Sampling in Taylor’s Stochastic Volatility Model

This article presents the general analysis of finite high-dimensional integrals using the Importance Sampling (IS) in aim to the parameter estimation of Taylor’s stochastic volatility (SV) model. After we proceed to make an alternative derivation for Sequential Importance Sampling (SIS) in previous literatures, we propose a new approach to select the optimal parameters of sampler, which is called as Universal Importance Sampling (UIS). UIS minimizes the Monte Carlo variance and numerically performs at least the same accurately as the SIS algorithm, but the computational efficiency get greatly improved. We apply both methods and investigate the SV model on the data, then make comparisons of the results.     

THE PARENTING EXPERIENCES OF MOTHERS WITH DISSOCIATIVE DISORDERS

This article presents a qualitative analysis of the experience of parenting of mothers with dissociative disorders. This analysis was performed to complement the quantitative analysis of problems of mothers with dissociative disorders that Benjamin, Benjamin, and Rind (1996) presented previously. They found that the functioning of these mothers, as well as their subjective experience of mothering, was poorer that that of either clinical or nonclinical control mothers. Our goal was to provide a clearer, richer picture of their problems in parenting. Using the mothers' own words, we describe how the five symptom areas of dissociation (amnesia, depersonalization, derealization, identity confusion, and identity alteration) impeded their parenting efforts. We conclude with a discussion of the necessity of addressing parenting in the treatment of client-mothers with dissociative disorders.     

Intensity of Interaction in Supply of Business Advice and Client Impact: A Comparison of Consultancy,Business Associations and Government Support Initiatives for SMEs

This paper assesses the supply of business advice using new empirical evidence from a large-scale survey of SMEs. The chief focus of the paper is on a comparison of suppliers that operate in different environments of regulation, contract and reputation. The paper argues that interaction intensity varies with the level of information asymmetry of these different environments, between different types of service supplier and their clients. Interaction intensity between suppliers also varies as a result of the level of trust they enjoy: for example, the low trust enjoyed by consultants appears to encourage higher intensity of interaction which improves the tailoring of the service to the client's needs and enhances impact. The paper assesses interaction intensity using the existence of site visits and/or a written brief/contract as indicators. Although these measures have limitations, the paper demonstrates clear and significant differences between suppliers in terms of interaction intensity, use of contracts and impact in three broad categories: private-sector consultancy (low trust, high intensity, high impact), business associations (high trust, low intensity, moderate impact) and government support agencies (moderate trust, moderate to high intensity, moderate or low impact). Multivariate estimation methods demonstrate that significant differences in interaction intensity, use of contracts and impact by client type are much less important than differences in supplier type. This indicates that suppliers generally develop more into niche service fields or groups of services rather than niches related to types of firm.     

Beta-Bernstein Smoothing for Regression Curves with Compact Support

ABSTRACT. The problem of boundary bias is associated with kernel estimation for regression curves with compact support. This paper proposes a simple and uni(r)ed approach for remedying boundary bias in non-parametric regression, without dividing the compact support into interior and boundary areas and without applying explicitly different smoothing treatments separately. The approach uses the beta family of density functions as kernels. The shapes of the kernels vary according to the position where the curve estimate is made. Theyare symmetric at the middle of the support interval, and become more and more asymmetric nearer the boundary points. The kernels never put any weight outside the data support interval, and thus avoid boundary bias. The method is a generalization of classical Bernstein polynomials, one of the earliest methods of statistical smoothing. The proposed estimator has optimal mean integrated squared error at an order of magnitude n ^−4/5, equivalent to that of standard kernel estimators when the curve has an unbounded support.