PROCESS, ROBLEMS, AND SOLUTIONS IN BRIEF THERAPY

The MRI problem-solving and the recently popular solution-amplifying approaches to brief therapy are described as based upon the same process point of view. A process view is described in contrast to a structural view of human interactions. It is argued that an exclusive focus on amplifying perceived solutions without clearly defining problem patterns may become a problem. Clear articulation of a therapist's assumptions about human interaction, problems, and therapeutic solutions is strongly advocated. Creativity, flexibility, effectiveness, and efficiency are likely to be by-products of such clarity. Without it, our therapeutic zeal in searching for solutions is likely to become a problem.
A Japanese coastal village was once threatened by a tidal wave, but the wave was sighted in advance, far out on the horizon, by a lone farmer in the rice fields on the hillside above the village. At once he set fire to the fields, and the villagers who came swarming up to save their crops were saved from the flood.     

Serial correlation and distributions on the shere

Estimation and tests for serial correlation in recation and regression models with normal error have been derive from various points of view; for example: Anderson (1948), Durbi for Watson (1950, 1951, 1971), Theil (1965), Durbin (1970), Haq (1970), Kadiyala (1970), Abrahamse & Louter (1971), Levenbac (1972), Berenblut & Webb (1973), Phillips & Harvey (1974), a Sims (1975). In this paper we derive likelihood functions and most powerful tests for serial correclation in Locationa and regression models with arbitrary but specificed error; the methods extend to include the determination of the likelihood for the parameter of the error distribution.

In Section 2, we survey the modthods that have been used in deriving the various tests and estimates in the literature. In Section 2, we introduce the stataistical model that directly describes the error distribution and we obtain the likelihood function for error correlation and determine locally and specifically kost powerful tests for correlation. In Section 3 we consider the case with normal error derive a normal distribution on the sphere by radial projection. The likelihood function and test are then specialized to the case of normal error in Section 4. The computational procedures for the tests and related power functions are examined in Section 5. Power comparisons for the textile data of Theil and Nagar (1961), the consumption data of Kelin (1950), and the plums and the wheat data of Hildreth & Lu (1960) are presented in Section 6, while the likelihood functions for correlation in these data are given in Section 7.     

Sources of Bias in the Recall of Self‐Generated Data: The Role of Anchoring1

This study examines two issues. First, we assess the reliability of employment data self‐generated by respondents using a survey panel of 280 firms surveyed in 1999 and again in 2002. Our results show that there is a close correlation between self‐generated and archival secondary data. Second, we test for bias in the recall of previous years' employment levels and the sources of such bias. We assess three reasons for recall bias: respondent‐level factors; firm‐level factors; and anchoring. Our regression results indicate that: owners and new respondents; those in firms that changed legal status and/or location; those in smaller firms; and those in growing or declining firms were biased in their recall of prior employment. In addition, growing firms tended to underestimate their growth, which points to anchoring as an explanation for these biases. These biases imply that we have to be careful in delineating performance measures and cautious about how we interpret self‐generated managerial information.     

Job Satisfaction in Higher Education: Examining Gender in Professional Work Settings

The concept of job satisfaction has been central to the study of occupations. However, the impact of gender on job satisfaction in professional settings is still under-represented as an area of inquiry. We use the notion of job satisfaction to introduce our organizational heterogenesis approach to understanding workplace satisfaction. Central to this approach is a concern with constructs of organizational interaction which combine the individualistic and structuralist approaches to understanding organizational life. Our analysis of 180 faculty at a large, urban university shows that gender affects the features of the workplace that affect job satisfaction. Our organizational heterogenesis approach frames these findings as an example of how dispositions are "made" important in the organization rather than locating dispositions as individual characteristics alone. We conclude by discussing the organizational heterogenesis approach as a viable theory that combines individualistic and structuralist approaches to organizational life.     

On asymptotic normality of likelihood and conditional analysis

The likelihood function from a large sample is commonly assumed to be approximately a normal density function. The literature supports, under mild conditions, an approximate normal shape about the maximum; but typically a stronger result is needed: that the normalized likelihood itself is approximately a normal density. In a transformation-parameter context, we consider the likelihood normalized relative to right-invariant measure, and in the location case under moderate conditions show that the standardized version converges almost surely to the standard normal. Also in a transformation-parameter context, we show that almost sure convergence of the normalized and standardized likelihood to a standard normal implies that the standardized distribution for conditional inference converges almost surely to a corresponding standard normal. This latter result is of immediate use for a range of estimating, testing, and confidence procedures on a conditional-inference basis.     

Environmental Equity: The Demographics of Dumping

Research addressing “environmental equity” and “environmental racism” claims that facilities for treatment, storage, and disposal of hazardous wastes (TSDFs) are located disproportionately in minority areas. In the first comprehensive study of TSDFs to use census tract-level data, we find no nationally consistent and statistically significant differences between the racial or ethnic composition of tracts which contain commercial TSDFs and those which do not. TSDFs are more likely to be found in tracts with Hispanic groups, primarily in regions with the greatest percentage of Hispanics. Different geographic units of analysis elaborate on, but are consistent with, these results.     

Second-order inference for generalized least squares

Confidence regions for generalized least squares are commonly derived from a measure of departure calculated on the tangent plane at the MLE or on the tangent plane at the true value; the first gives approximate confidence regions, the second exact. For surfaces with curvature, indeed with varying curvature, the exact regions typically are not likelihood regions and can include parameter values of highest and of lowest likelihood. This paper develops an alternative approach to deriving exact confidence regions and uses both surface curvature and distance from the surface as supporting ingredients. For this, conditionality is invoked in two ways beyond that supported by the usual conditionality principle. For the case of normal error the ordinary chi-squared departure is replaced by a Von Mises-type angular (or cosine) departure which is assessed using curvature properties in the data direction and radial distance of the data from the regression surface. For the usual linear model (constant curvature equal to zero) the method coincides with the ordinary tests and confidence regions; for the case of constant nonzero curvature, the method generalizes to spheres and sphere-cylinders the Fisher (Statistical Methods and Scientific Inference, 1956) analysis of a rotationally symmetric normal on ?² with mean constrained to a circle. The effects of conditioning are indicated by a computer plot for obtaining 95% confidence.     

Some decompositions of spherical distributions

Certain rotationally symmetric or spherical multivariate distributions can be factored into independent components that produce in a natural manner various uniform, chi, triangular chi, root F, triangular root F, t, disguised t, triangular root beta, Wishart and disguised Wishart distributions.     

STATUS ATTAINMENT IN AMERICA: THE ROLES OF LOCUS OF CONTROL AND SELF-ESTEEM IN EDUCATIONAL AND OCCUPATIONAL OUTCOMES

A wide range of theoretical and empirical treatments link parental background to educational and occupational outcomes for children . Comparatively few studies have examined these effects in concert with the related social psychological dynamics of self - esteem and locus of control . Our multivariate examination of 1,927 respondents shows that net of traditionally employed regressors such as parental education and occupation , self-esteem and locus of control materially affect respondents' educational and occupational attainments . The article concludes with a discussion of the importance of self-esteem and locus of control as social psychological facilitants to status attainment and identifies directions for future research .