A Behaviour-Based Peer-Nomination Measure of Social Withdrawal in Children

Research on social withdrawal has been impeded by problems in the definition of the construct and in its measurement. The purpose of this study was to develop a behaviourally-based peer-nomination measure useful in measuring two types of withdrawal: Inhibited/Wary and Self-Conscious/Anxious. In Study 1, we report the development of the measure. We examined whether this two-factor structure would be supported by data obtained from multiple informants. Data were collected from children in grades 3, 5, and 7, and their peers and teachers. Intercorrelations of peer-, teacher-, and self-reports of the Behaviour-Based Peer-Nomination Measures of social withdrawal supported the validity of the Inhibited/Wary dimension; teacher-peer agreement also provided support for the validity of the Self-Conscious/Anxious dimension. In Study2, the Behaviour-Based Peer-Nomination Measure of Social Withdrawal was cross-validated against observed play behaviour with 120 boys and girls. Results revealed some concordances between observational and peer-nomination data.     

Subset selection for normal means in multi-factor experiments

The procedure of Gupta [1956], [1965] for selecting a random sized subset of k ≧ 2 normal populations which contains the population with the largest population mean when the populations have a common variance is generalized to multi-factor experiments. Two-factor experiments with equal replication on each factor-level combination are discussed in detail. The cases of zero and non-zero interactions between factor levels are considered. For the two-factor, zero interaction case with a common number of observations at each factor-level combination, a table of constants necessary to implement the procedure is provided for experiments having selected levels per factor; the constants are equi-coordinate upper percentage points of a multivariate Student t distribution.     

A unified approach for estimation and detection of outliers

Two two-stage procedures RD_M-ESD and RD_M-KUR to detect outliers from normal samples are considered. Their powers for n=20 (10)60, k=2(1)(n/5) are computed and compared. Percentage points of these procedures are presented.Two examples to illustrate the use of these procedures are also given.     

中国—东盟自由贸易区原产地规则签证操作程序变动分析

根据中国与东盟签署的《第二议定书》,2011年1月1日起,中国—东盟自由贸易区启用新版原产地证(FormE),并对原产地规则项下的签证操作程序进行修正。此次修正的目的是促进贸易便利化,提高中国—东盟自由贸易区优惠关税的利用率。进出口企业应随时关注协议的变化,以便在与东盟国家的贸易中充分享受中国—东盟自贸协定项下的关税优惠待遇和提高通关效率。     

Introduction to the Volume on Psychological Testing in Child Custody Evaluations

ABSTRACT

Allegations of domestic violence are among the most difficult to assess when they are posed during a child custody evaluation. We discuss the social and political context within which such evaluations occur. We describe both historical and current conceptualizations of and research concerning domestic violence. We end by discussing a variety of factors evaluators may consider using when developing an evaluation protocol to assess allegations of domestic violence within the context of child custody disputes.     

Alternative Methods of Estimating the Likelihood Ratio in Classification of Multivariate Normal Observations

An observation is to be classified into one of two multivariate normal distributions with equal covariance matrices. When the parameters are unknown, four methods of estimating the likelihood ratio, that is, the plug-in method, the test procedure, the Bayesian approach, and the best invariant estimate method, are reviewed. The assumptions, interpretations, and consequences of the four approaches are given. It is shown that the last three methods yield the same classification procedure.     

Actual rejection levels in a certain stepwise test

Continuing me work of Draper, Guttman and Kanemasu (1971) we obtain the appropriate distribution and evaluate some actual probability levels tor entry of variables in stepwise regression when the denominator of the F-statistic is a biased estimate of the residual variance and there are two possible entry candidates.     

Further applications of bias to discriminant analysis

This article extends the biased minimum x² rule to the unequal covariance matrix case and to the case of several populations, The biased procedure is shown to improve the performance of the commonly used classification procedures. Results of sampling experiments over a broad range of conditions are provided to demonstrate this improvement.     

Estimation for distributions with monotone likelihood ratio:case of vector valued parameter

An extension of a result about the estimation in Karlin and Rubin is given for the following case:The sample space, the parameter space and the decision space are subsets of a multi-dimensional Euclidean space, there is defined a suitable partial ordering in each of spaces, and a probability distribution has monotone likelihood ratio with respect to the partial orderings (see Ishii, 1976). In the special case when the loss function is quadratic a simple proof of a result in Karlin and Rubin is given. Stein's estimators are discussed as examples.