Moving Ahead,Falling Apart,Losing Power: Three Narratives to the Development of Human Services

Scholars agree that we live in a society in which the lion’s share of human needs is supplied by formal organizations. This article deals with how society reached this situation and the challenges embedded in it. We will postulate that there are three basic narratives of human services, which we have named the progress, the social disintegration, and the power narrative. The narratives will be demonstrated through examples from the field of juvenile and adolescent mental health services. We claim that meaningful professional training in human services must expose students to the interpretations, insights, and possible directions for practice in light of each of the narratives.     

Relationship of Dyadic Closeness With Work‐Related Stress: A Daily Diary Study

We examined the association between work‐related stress of both spouses and daily fluctuations in their affective states and dyadic closeness. Daily diary data from 169 Israeli dual‐earner couples were analyzed using multilevel modeling. The findings indicate that work stress has no direct effect on dyadic closeness but rather is mediated by the spouses’ negative mood. Evidence was found for spillover of stress from work to mood at home, as well as negative crossover among couples with higher marital quality, resulting in greater distance on stressful days. Such increased distance may reflect either a deleterious effect of work stress on marital relationships or a protective mechanism used by couples in times of stress.     

Concepts and measures for skewness with data-analytic implications

The decomposition of the distribution function into skewness and spread functions serves as a basis for conceptualizing the skewness of a random variable. Measures of skewness are also described in terms of the skewness and spread functions, thereby unifying the measures with the concepts. Results that relate these measures to whether one random variable is more skewed than another are reviewed and extended. Graphical displays are presented for uncovering the nature of the skewness of a variable. The measures are also linked to the issue of symmetrizing a variable.     

Use of standardized assessment instruments in couple therapy: the role of attitudes and professional factors

The study examined therapeutic approach, professional affiliation, training, seniority, and work setting as predictors of attitudes toward standardized instruments and their use in couple therapy. Data were gathered from 163 certified marriage and family therapists in Israel. Results showed that 27.6% of marital therapists used standardized instruments for assessment. More positive attitudes toward standardized instruments were associated with the extent of training in their use and with a structural-strategic approach. Logistic regression analysis indicated that positive attitudes, training, and work setting best predict the application of standardized assessment instruments. Reasons for the relative lack of use of standardized assessment instruments are discussed. It is recommended that more training in assessment instruments be included in marriage and family therapy training.     

Divison of Labor,Perceived Fairness,and Marital Quality: The Effect of Gender Ideology

This study assesses the relations between division of household labor, perceived fairness, and marital quality by comparing three ethnic‐religious groups in Israel that reflect traditional, transitional, and egalitarian ideologies. The findings, based on structural equation modeling (SEM) methodology, show that sense of fairness mediates the relation between division of labor and marital quality and gender ideology moderates these relations for women but not for men. Perceived fairness is related to the division of labor for women in egalitarian and transitional families but not in traditional ones. For egalitarian women, a more segregated division of labor is linked directly with lower marital quality whereas for women in transitional families it is mediated by sense of fairness. The findings are discussed on two overlapping levels—conceptual‐theoretical and sociocultural—with implications for understanding families in cultural transition.     

Multiple Hypotheses Testing with Weights

In this paper we offer a multiplicity of approaches and procedures for multiple testing problems with weights. Some rationale for incorporating weights in multiple hypotheses testing are discussed. Various type-I error-rates and different possible formulations are considered, for both the intersection hypothesis testing and the multiple hypotheses testing problems. An optimal per family weighted error-rate controlling procedure a la Spjotvoll (1972) is obtained. This model serves as a vehicle for demonstrating the different implications of the approaches to weighting. Alternative approach es to that of Holm (1979) for family-wise error-rate control with weights are discussed, one involving an alternative procedure for family-wise error-rate control, and the other involving the control of a weighted family-wise error-rate. Extensions and modifications of the procedures based on Simes (1986) are given. These include a test of the overall intersec tion hypothesis with general weights, and weighted sequentially rejective procedures for testing the individual hypotheses. The false discovery rate controlling approach and procedure of Benjamini & Hochberg (1995) are extended to allow for different weights.     

Experiments with maximum likelihood method for image motion deblurring

Relative motion between the camera and the object results in the recording of a motion-blurred image. Under certain idealized conditions, such blurring can be mathematically corrected. We refer to this as 'motion deblurring'. We start with some idealized assumptions under which the motion deblurring problem is a linear inverse problem with certain positivity constraints; LININPOS problems, for short. Such problems, even in the case of no statistical noise, can be solved using the maximum likelihood/EM approach in the following sense. If they have a solution, the ML/EM iterative method will converge to it; otherwise, it will converge to the nearest approximation of a solution, where 'nearest' is interpreted in a likelihood sense or, equivalently, in a Kullback-Leibler information divergence sense. We apply the ML/EM algorithm to such problems and discuss certain special cases, such as motion along linear or circular paths with or without acceleration. The idealized assumptions under which the method is developed are hardly ever satisfied in real applications, so we experiment with the method under conditions that violate these assumptions. Specifically, we experimented with an image created through a computer-simulated digital motion blurring corrupted with noise, and with an image of a moving toy cart recorded with a 35 mm camera while in motion. The gross violations of the idealized assumptions, especially in the toy cart example, led to a host of very difficult problems which always occur under real-life conditions and need to be addressed. We discuss these problems in detail and propose some 'engineering solutions' that, when put together, appear to lead to a good methodology for certain motion deblurring problems. Some of the issues we discuss, in various degrees of detail, include estimating the speed of motion which is referred to as 'blur identification'; non-zero-background artefacts and pre- and post- processing of the images to remove such artefacts; the need to 'stabilize' the solution because of the inherent ill-posedness of the problem; and computer implemetation.     

Division of Labor and Decision-Making in Arab Families in Israel: Processes of Change and Preservation

The study examines the changes that Arab families in Israel have undergone over three generations. It focuses on change and preservation in the division of labor between spouses, in the attitudes toward it, and оn how decisions are made in the family. It also examines the factors contributing to the preservation of traditional characteristics and those contributing to change. The study included 378 Moslem and Christian Arab women from three generations (grandmothers, mothers, and daughters). The findings indicate significant changes: the younger the generation is, the less traditional are the attitudes it holds and the more egalitarian the life of the couple is. The factors found to promote change were the woman’s education, work outside the home, intensive contacts with the Jewish population, and living near Jewish communities. The factor that was found to contribute most to the preservation of traditional patterns is consensual solidarity with the mother.     

Quantifying Accidents: Cars,Statistics, and Unintended Consequences in the Construction of Social Problems Over Time

This paper investigates the potential effects of a single cultural means of claimsmaking—quantification—on the construction of a social problem through time. By analyzing salient historical uses of statistics in public debates on traffic accidents in the United States, the study seeks to advance the understanding of the role played by numerical claims in the broader dynamics of problem evolution and development. Specifically, key employments of numbers by early automobile clubs, the private insurance industry, safety movement and establishment, and printed media are closely traced and interrelated to flesh out their impacts on dominant representations of the issue over the long term. While numerical claimsmaking produced divergent, often contradictory effects on the construction of the problem, I argue that figures ultimately contributed to the gradual waning of the moralist and political zest that characterized much of the claimsmaking activities on the issue in the first half of the twentieth century. The argument provides one explanation of how traffic accidents can come to be defined in contemporary society as a “necessary evil”—a regrettable yet largely unalterable price to pay for the benefits of the automobile. To the extent that many of these quantification effects are unintended, they are linked to both the nature of statistical argumentation employed in this case and its institutional contexts.     

Conditional versus unconditional analysis in some regression models

This paper discusses extensions of the variability of the parameters (or functions of parameters) in a recursive system of regression models, and shows that conditioning on the carriers may lead to drastically different conclusions than when the carriers are viewed as stochastic. The relationships among the variables in these models are derived by a sequence of regressions, in which the dependent variable of one equation may reappear as a carrier in a later equation. The model to be fitted need not be identical with the generating equations. In these recursive systems of equations, when the models are miss-specified, or when functions of parameters from different equations are to be estimated, the variability of the estimators is shown to depend critically on the level of conditioning assumed. Various jackknife and bootstrap methods of estimating the variability of the estimators are suggested. In particular the bootstrap estimators of variability can be adopted to captured the correct level of conditioning, by mimicking the conditioning in their design. Two problems in which the level of conditioning matters are described and analysed under the general chained regression models. A real data problem. Omission of variables is sometimes advocated for reducting the variance of the remaining estimators. In both cases the effectiveness of the nonparametric variance estimators is demonstrated using simulation studies.