Evaluation of open items using the many-facet Rasch model

The goal of this study is to analyze the quality of ratings assigned to two constructed response questions for evaluating the written ability of essays in Portuguese language from the perspective of the many-facet Rasch (MFR [15 J.M. Linacre, Many-facet Rasch Measurement, 2nd ed., MESA Press, Chicago, 1994. [Google Scholar]]) model. The analyzed data set comes from 350 written tests with two open-item tasks that were developed based on a rating process independently marked by two rater coordinators and a group of 42 raters. The MFR model analysis shows the measurement quality related to the examinees, raters, tasks and items, and classification scale that has been used for the task rating process. The findings indicate significant differences amongst the rater severities and show that the raters cannot be interchanged. The results also suggest that the comparison between the two task difficulties needs further investigation. An additional study has been done on the scale structure of the classification used by each rater for each item. The result suggests that there have been some similarities amongst the tasks and a need of revision for some criteria of the rating process. Overall, the scale of evaluation has shown to be efficient for a classification of the examinees.     

Reviews

M. I. Finley, The Use and Abuse of History (1975), 254 (Chatto &; Windus, £4.50).

John H. Langbein, Prosecuting Crime in the Renaissance. England, Germany, France (1974), ix+321 (Harvard University Press, Cambridge, Massachusetts, £7.50).

Hans‐Ulrich Wehler (ed.), Der Deutsche Bauernkrieg, 1524–1526 (1975), 356 (Geschichte und Gesellschaft, Sonderheft 1, Vandenhoek und Ruprecht, Göttingen, DM 39).

Mervyn James, Family, Lineage and Civil Society. A Study of Society, Politics and Mentality in the Durham Region 1500–1640 (1974), x+233 (Oxford University Press, £5.00).

C. W. Chalklin and M. A. Havinden (eds.), Rural Change and Urban Growth 1500–1800. Essays in English Regional History in Honour of W. G. Hoskins (1974), xxvi+360 (Longman, £8.50).

Peggy K. Liss, Mexico under Spain, 1521–1556. Society and the Origins of Nationality (1975), xvi+229 (University of Chicago Press, Chicago and London, £7.50).

J. I. Israel, Race, Class and Politics in Colonial Mexico, 1610–1670 (1975), xiii+305 (Oxford University Press, £8.00).

Olwen H. Hufton, The Poor of Eighteenth‐Century France, 1750–1789 (1974), xiii+414 (Oxford University Press, £9.00).

B. R. Mitchell, European Historical Statistics 1750–1970 (1975), xx+827 (Macmillan, £24).

Edward Royle, Victorian Infidels (1974), viii+357 (Manchester University Press, Manchester, £6.00).

Verena Martinez‐Alier, Marriage, Class and Colour in Nineteenth‐Century Cuba. A Study of Racial Attitudes and Sexual Values in a Slave Society (1974), x+202 (Cambridge University Press, £4.40).

John Burnett (ed.), Useful Toil. Autobiographies of Working People from the 1820s to the 1920s (1974), 364 (Allen Lane, £5, paperback £2.50).

A. Allan MacLaren, Religion and Social Class: The Disruption Years in Aberdeen (1974), xii+268 (Routledge, £4.95).

David Jones, Chartism and the Chartists (1975), 229 (Allen Lane, £6.00, paperback £3.00).

Robert Gellately, The Politics of Economic Despair: Shopkeepers and German Politics 1890–1914 (1974), xvi+317 (Sage Publications, £6.00).

Alan A. Jackson, Semi‐Detached London: Suburban Development, Life and Transport 1900–39 (1973), 381 (George Allen and Unwin, £6.50).     

Bayesian modeling of autoregressive partial linear models with scale mixture of normal errors

Normality and independence of error terms are typical assumptions for partial linear models. However, these assumptions may be unrealistic in many fields, such as economics, finance and biostatistics. In this paper, a Bayesian analysis for partial linear model with first-order autoregressive errors belonging to the class of the scale mixtures of normal distributions is studied in detail. The proposed model provides a useful generalization of the symmetrical linear regression model with independent errors, since the distribution of the error term covers both correlated and thick-tailed distributions, and has a convenient hierarchical representation allowing easy implementation of a Markov chain Monte Carlo scheme. In order to examine the robustness of the model against outlying and influential observations, a Bayesian case deletion influence diagnostics based on the Kullback–Leibler (K–L) divergence is presented. The proposed method is applied to monthly and daily returns of two Chilean companies.     

F-tests with a rare pathology

ANOVA is routinely used to compare pathologies. Nevertheless, in many situations, the sample dimensions may not be known when planning the study. This is specially relevant when one of the pathologies is rare. Thus, the sample size for that pathology or for all pathologies must be considered as random. Sample selection for the non-rare pathologies may be carried out to increase the balance of the model. This leads to F-tests with random non-centrality parameters and random degrees of freedom for the errors. The distribution of such tests statistics is obtained.     

Partly linear models on Riemannian manifolds

In partly linear models, the dependence of the response y on (x ^T, t) is modeled through the relationship y=x ^T β+g(t)+?, where ? is independent of (x ^T, t). We are interested in developing an estimation procedure that allows us to combine the flexibility of the partly linear models, studied by several authors, but including some variables that belong to a non-Euclidean space. The motivating application of this paper deals with the explanation of the atmospheric SO₂ pollution incidents using these models when some of the predictive variables belong in a cylinder. In this paper, the estimators of β and g are constructed when the explanatory variables t take values on a Riemannian manifold and the asymptotic properties of the proposed estimators are obtained under suitable conditions. We illustrate the use of this estimation approach using an environmental data set and we explore the performance of the estimators through a simulation study.     

Welfare programs and labor supply in developing countries: experimental evidence from Latin America

This study looks at the effect of welfare programs on work incentives and the adult labor supply in developing countries. The analysis builds on the experimental evaluations of three programs implemented in rural areas: Mexico’s Programa Nacional de Educación, Salud y Alimentación (PROGRESA), Nicaragua’s Red de Protección Social, and Honduras’ Programa de Asignación Familiar. Comparable results for the three countries indicate that the effects that the programs have had on the labor supply of participating adults have been mostly negative but are nonetheless small and not statistically significant. However, the evidence does point to the presence of other effects on labor markets. In the case of PROGRESA, there is a small positive effect on the number of hours worked by female beneficiaries and a sizeable increase in wages among male beneficiaries and a resulting increase in household labor income. Moreover, PROGRESA seems to have reduced female labor-force participation in ineligible households. These results imply that large-scale interventions may have broader equilibrium effects.     

On describing multivariate skewed distributions: A directional approach

Most multivariate measures of skewness in the literature measure the overall skewness of a distribution. These measures were designed for testing the hypothesis of distributional symmetry; their relevance for describing skewed distributions is less obvious. In this article, the authors consider the problem of characterizing the skewness of multivariate distributions. They define directional skewness as the skewness along a direction and analyze two parametric classes of skewed distributions using measures based on directional skewness. The analysis brings further insight into the classes, allowing for a more informed selection of classes of distributions for particular applications. The authors use the concept of directional skewness twice in the context of Bayesian linear regression under skewed error: first in the elicitation of a prior on the parameters of the error distribution, and then in the analysis of the skewness of the posterior distribution of the regression residuals.     

Implications of Sociopolitical Context for Career Services Delivery

This article analyzes the implications of sociopolitical context for career services delivery. Beginning with a reflection on the social foundations of the practice of career counseling, 4 specific Portuguese conditions are presented and discussed in light of existing knowledge in the field. The 4 underlying issues presented are (a) the impact of political changes on career services delivery, (b) the rigidity vs. flexibility of the educational system, (c) political and psychological perspectives on employment, and (d) the relationship between power and career services delivery. A research agenda founded in political anthropology is proposed that may enhance future career services delivery.     

Measuring inequality of opportunity with imperfect data: the case of Turkey

The measurement of inequality of opportunity has hitherto not been attempted in a number of countries because of data limitations. This paper proposes two alternative approaches to circumventing the missing data problems in countries where a demographic and health survey (DHS) and an ancillary household expenditure survey are available. One method relies only on the DHS, and constructs a wealth index as a measure of economic advantage. The alternative method imputes consumption from the ancillary survey into the DHS. In both cases, we compute a lower bound estimator of the share of (ex-ante) inequality of opportunity in total inequality. Parametric and non-parametric estimates are calculated for each method, and the parametric approach is shown to yield preferable lower-bound measures. In an application to the sample of ever-married women aged 30–49 in Turkey, inequality of opportunity accounts for at least 26% (31%) of overall inequality in imputed consumption (the wealth index).