Goodness‐of‐fit tests for linear regression models with missing response data

The authors show how to test the goodness‐of‐fit of a linear regression model when there are missing data in the response variable. Their statistics are based on the L₂ distance between nonparametric estimators of the regression function and a ‐consistent estimator of the same function under the parametric model. They obtain the limit distribution of the statistics and check the validity of their bootstrap version. Finally, a simulation study allows them to examine the behaviour of their tests, whether the samples are complete or not.     

Robust kernel estimators for additive models with dependent observations

Robust nonparametric estimators for additive regression or autoregression models under an α-mixing condition are proposed. They are based on local M-estimators or local medians with kernel weights, and their asymptotic behaviour is studied. Moreover, diese local M-estimators achieve the same univariate rate of convergence as their linear relatives.     

Forecasting time series with missing data using Holt's model

This paper deals with the prediction of time series with missing data using an alternative formulation for Holt's model with additive errors. This formulation simplifies both the calculus of maximum likelihood estimators of all the unknowns in the model and the calculus of point forecasts. In the presence of missing data, the EM algorithm is used to obtain maximum likelihood estimates and point forecasts. Based on this application we propose a leave-one-out algorithm for the data transformation selection problem which allows us to analyse Holt's model with multiplicative errors. Some numerical results show the performance of these procedures for obtaining robust forecasts.     

“I feel recycling matters… sometimes”: The negative influence of ambivalence on waste separation among teenagers

This study uses the theory of reasoned action to examine how measures of subjective and indirect ambivalence affect the separation of paper and packaging for recycling. The relationships between recycling beliefs and recycling attitudes and between recycling intention and behavior are stronger for lower levels of subjective ambivalence. Indirect ambivalence moderates the relationship between ecological self-identity and recycling behavior in the same way. One exception is that the relationship between recycling intention and behavior is stronger for higher levels of indirect ambivalence. Moreover, indirect ambivalence mediates the effect of subjective ambivalence both on recycling intention and behavior. However, this mediation is imperfect, which suggests that there is a need to measure the two types of ambivalence when studying conservation practices.     

A Tribute to a ‘White Male’ Named Michael White and His Contributions to My Family Therapy and Work

The maps that I review in this book are, like any maps, constructions that can be referred to for guidance on our journeys‐in this case our journey with the people who consult us about the predicaments and problems of their lives. Like other maps, they can be employed to assist us in finding our way to destinations that could not have been specified ahead of the journey, via routes that could not have been predetermined. (White, 2007, p. 5)     

Processes of Knowledge Production in Social Movements as Multi‐level Power Dynamics

Most literature related to the study of processes of knowledge production within social movements neglects how power relations between participants rooted on structural inequalities shape such processes. It also underestimates how such inequalities and the very dynamics of movements intersect in the setting up of the ‘boundaries’ of ‘insidership’ and ‘outsidership’, as well as of the terms implicit in different forms of participation. This article makes a review of theoretical and methodological literature that is relevant to the study of processes of knowledge production within social movements. Based on that review, it proposes the concept of ‘multi‐level power dynamics’ as a tool for future research on the way in which such processes are shaped by power relations between movement members endowed with, or experiencing a differentiated access to different forms of knowledge, as well as with actors within the state and networks promoting the diffusion of ideas and strategies.     

Comparing Fits of Latent Trait and Latent Class Models Applied to Sparse Binary Data: An Illustration with Human Resource Management Data

This paper addresses the problem of comparing the fit of latent class and latent trait models when the indicators are binary and the contingency table is sparse. This problem is common in the analysis of data from large surveys, where many items are associated with an unobservable variable. A study of human resource data illustrates: (1) how the usual goodness-of-fit tests, model selection and cross-validation criteria can be inconclusive; (2) how model selection and evaluation procedures from time series and economic forecasting can be applied to extend residual analysis in this context.     

Does Ethnic Diversity Mean Cultural Diversity?

This paper examines the degree of cultural diversity between two ethnic groups in South Florida. The cultural attitudes and causal attributions for unethical work behavior of 269 Anglo and Hispanic business graduate students and of 255 Anglo and Hispanic business executives were investigated. Findings from t-test comparisons for both of these samples suggest a strong agreement between Hispanics and Anglos in their individualism and collectivism orientation, as well as in their process of justifying potentially unethical decisions. Implications for theory, research and practices will be discussed. This revised version was published online in July 2006 with corrections to the Cover Date.