“I Did Not Get that Job Because of a Black Man...”: The Story Lines and Testimonies of Color-Blind Racism

In this paper we discuss the dominant racial stories that accompany color-blind racism, the dominant post–civil rights racial ideology, and asses their ideological role. Using interview data from the 1997 Survey of College Students Social Attitudes and the 1998 Detroit Area Study, we document the prevalence of four story lines and two types of testimonies among whites. We also provide data on ideological dissidence among some whites (we label them racial progressives) and blacks. We show that although these stories, and the racial ideology they reinforce, have become dominant, neither goes uncontested.     

Gender, home and family in cultural capital theory

The paper argues that Bourdieu's stress on early familiarization for the highest value of cultural capital is closely linked to his idea, strongly emphasized in Distinction, about the role of family and domestic life for individual development and social positions. The role of women, as mothers and homemakers, is crucial in this process. Yet, Bourdieu defines social origin as deriving from the father. The centrality to Bourdieu's thinking of a resilient traditional pattern of masculine domination and feminine submission constitutive of the Western gender habitus explains both his stress on ‘normalcy’ for the production of legitimate dispositions, and his resistance to incorporating into his thinking the implications of recent transformations in home family living, which have destabilized the gender order. It is thus important to consider contemporary feminist analyses of the family and home life and their significance for a renewed theory of cultural capital. The paper considers two sets of literature. Firstly, it addresses the manners in which home and family are conceptualized in Bourdieu's key texts where these issues were prominent in the development of his thinking on cultural capital. The second set of literature includes texts by feminist academics in the fields of family, gender and the body, which analyse the destabilizing of the gender order and everyday family living in contemporary society. Two questions are addressed on the basis of these reflections: (1) Is cultural capital an individual or a household resource? (2) How does cultural capital relate to personal interdependencies at the level of family and households?     

Leader vision formation and forecasting: The effects of forecasting extent,resources, and timeframe

Vision formation, and vision articulation, is held to be a central component of leader performance. Less is known, however, about the variables giving rise to viable visions. In the present effort, the impact of forecasting on vision formation was examined. Study participants were asked to write a speech describing their vision for a new school. Prior to writing this speech, participants were asked to forecast the outcomes of vision implementation. It was found that the extent of forecasting, along with forecasting of temporal and resources considerations, influenced the quality of vision statements. Forecasting was improved when people thought about causes, as opposed to goals, and implications, as opposed to facts. The implications of these findings for understanding leader performance in vision formation are discussed.     

Hayter and Tsui's test with double sampling for the vector mean of multivariate normal population

Abstract

In this paper, we introduce a version of Hayter and Tsui's statistical test with double sampling for the vector mean of a population under multivariate normal assumption. A study showed that this new test was more or as efficient than the well-known Hotelling's T² with double sampling. Some nice features of Hayter and Tsui's test are its simplicity of implementation and its capability of identifying the errant variables when the null hypothesis is rejected. Taking that into consideration, a new control chart called HTDS is also introduced as a tool to monitor multivariate process vector mean when using double sampling.     

A Note on Influence Assessment in Score Tests

Recently, [1] Ebrahimi, N. 1996. How to measure uncertainty about residual life time. Sankhya Ser. A, 58: 48–57.  [Google Scholar] proposed a dynamic measure based on differential entropy applied to the residual lifetime. This measure has been used for the classification and ordering of survival functions. More recently, [2] Ebrahimi, N. 1997. Testing whether lifetime distribution is decreasing uncertainty. Journal of Statistical Planning and Inference, 64: 9–19. [Crossref], [Web of Science ®] , [Google Scholar] has considered the problem of testing the monotonicity of this measure. We propose and study several kernel type estimators of the entropy of residual life through the estimation of f(x) log f(x). These estimators can be applied to the classification and comparison of lifetime distribution.     

Nenparametric Two-Group Classification: Concepts and a SAS-Based Software Package

This article introduces BestClass, a set of SAS macros, available in the mainframe and workstation environment, designed for solving two-group classification problems using a class of recently developed nonparametric classification methods. The criteria used to estimate the classification function are based on either minimizing a function of the absolute deviations from the surface which separates the groups, or directly minimizing a function of the number of misclassified entities in the training sample. The solution techniques used by BestClass to estimate the classification rule use the mathematical programming routines of the SAS/OR software. Recently, a number of research studies have reported that under certain data conditions this class of classification methods can provide more accurate classification results than existing methods, such as Fisher's linear discriminant function and logistic regression. However, these robust classification methods have not yet been implemented in the major statistical packages, and hence are beyond the reach of those statistical analysts who are unfamiliar with mathematical programming techniques. We use a limited simulation experiment and an example to compare and contrast properties of the methods included in Best-Class with existing parametric and nonparametric methods. We believe that BestClass contributes significantly to the field of nonparametric classification analysis, in that it provides the statistical community with convenient access to this recently developed class of methods. BestClass is available from the authors.     

On sufficient conditions for the strong consistency of least-squares estimates

The strong consistency of the least-squares estimates in regression models is obtained when the errors are i.i.d. with absolute moment of order r, 0<r? 2. The assumptions presented for the random error sequence will permit us to obtain improvements of the conditions on the regressors in order to obtain the strong consistency of the least-squares estimates in linear and nonlinear regression models.     

Strong consistency of least squares estimates with i.i.d. errors with mean values not necessarily defined

We establish strong consistency of the least squares estimates in multiple regression models discarding the usual assumption of the errors having null mean value. Thus, we required them to be i.i.d. with absolute moment of order r, 0<r<2, and null mean value when r>1. Only moderately restrictive conditions are imposed on the model matrix. In our treatment, we use an extension of the Marcinkiewicz–Zygmund strong law to overcome the errors mean value not being defined. In this way, we get a unified treatment for the case of i.i.d. errors extending the results of some previous papers.     

New two-stage sampling designs based on neoteric ranked set sampling

Neoteric ranked set sampling (NRSS) is a recently developed sampling plan, derived from the well-known ranked set sampling (RSS) scheme. It has already been proved that NRSS provides more efficient estimators for population mean and variance compared to RSS and other sampling designs based on ranked sets. In this work, we propose and evaluate the performance of some two-stage sampling designs based on NRSS. Five different sampling schemes are proposed. Through an extensive Monte Carlo simulation study, we verified that all proposed sampling designs outperform RSS, NRSS, and the original double RSS design, producing estimators for the population mean with a lower mean square error. Furthermore, as with NRSS, two-stage NRSS estimators present some bias for asymmetric distributions. We complement the study with a discussion on the relative performance of the proposed estimators. Moreover, an additional simulation based on data of the diameter and height of pine trees is presented.     

The problem of intersectionality as an approach to digital activism: the Women’s March on Washington’s attempt to unite all women

ABSTRACT

This study examined the convergence of activism and intersectionality to understand how communicators create messages about social justice issues using social media. This is particularly relevant for public relations today, as digital activism almost ubiquitously involves bringing together conflicting publics who are active and social media-savvy, meanwhile maintaining an organizational brand/mission. Using the 2017 Women’s March on Washington (WMW) as an object of study, we explored how campaign messages reflected principles of intersectionality, consensus- and dissensus-based communication, and organizational self-reflection. We conducted a thematic analysis of posts from the WMW’s social media accounts as well as media quotes by the organizational leaders to get at the leaders’ intentions in their message design. Data suggested that messages of inclusivity as well as of necessary discord were employed to enact political change for WMW’s publics. We argue that although the WMW was not wholly intersectional, particularly in determining its political agenda, the efforts toward intersectionality are notable for theory-building and reflective practice, particularly for social mediated campaigns. The study proposes a theory for digital intersectional communication to guide future research and advocacy work.