The effects of aggregate unemployment insurance benefits in the U.S. on the operation of a local economy.

"Prepared by Ronald L. Oaxaca ... and Carol A. Taylor."

Decisions under uncertainty; drilling decisions by oil and gas operators.

Includes bibliography.

Simulating aggregate and distributional effects of various plans for modifying the retirement earnings test /

"July 1990."

Simulating the long-run aggregate economic and intergenerational redistributive effects of social security policy /

"August 1992."

Anticipations, uncertainty, and dynamic planning.

Bibliographical footnotes.

Paving asphalts : asphalt aggregate interactions and asphalt intermolecular interactions /

Mode of access: Internet.

The investigation of present aggregate gradation control practices and the development of short-cut or alternative test methods /

Mode of access: Internet.

Calculating the Uncertainty of a Structure from Motion (SfM) Model, Cadman Quarry, Monroe, Washington

Structure from Motion (SfM) is a new form of photogrammetry that automates the rendering of georeferenced 3D models of objects using digital photographs and independently surveyed Ground Control Points (GCPs). This project seeks to quantify the error found in Digital Elevation Models (DEMs) produced using SfM. I modeled a rockslide found at the Cadman Quarry (Monroe, Washington) because the surface is vegetation-free, which is ideal for SfM and Terrestrial LiDAR Scanner (TLS) surveys. By using SfM, TLS, and GPS positioning at the same time, I attempted to find the deviation in the SfM model from the TLS model and GPS points. Using the deviation, I found the Root-Mean-Square Error (RMSE) between the SfM DEM and GPS positions. The RMSE of the SfM model when compared to surveyed GPS points is 17cm. I propagated the uncertainty of the GPS points with the RMSE of the SfM model to find the uncertainty of the SfM model compared to the NAD 1984 datum. The uncertainty of the SfM model compared to the NAD 1984 is 27cm. This study did not produce a model from the TLS that had sufficient resolution on horizontal surfaces to compare to surveyed GPS points.

Contributions to Physics-Based Aeroservoelastic Uncertainty Analysis

Thesis (Ph.D.)--University of Washington, 2016-06

Dynamic Models under Uncertainty for Large-Scale Enterprise Systems

Thesis (Ph.D.)--University of Washington, 2016-06

Gray's model of personality and aggregate level factor analysis

Previous research shows that correlations tend to increase in magnitude when individuals are aggregated across groups. This suggests that uncorrelated constellations of personality variables (such as the primary scales of Extraversion and Neuroticism) may display much higher correlations in aggregate factor analysis. We hypothesize and report that individual level factor analysis can be explained in terms of Giant Three (or Big Five) descriptions of personality, whereas aggregate level factor analysis can be explained in terms of Gray's physiological based model. Although alternative interpretations exist, aggregate level factor analysis may correctly identify the basis of an individual's personality as a result of better reliability of measures due to aggregation. We discuss the implications of this form of analysis in terms of construct validity, personality theory, and its applicability in general. Copyright (C) 2003 John Wiley Sons, Ltd.

Uncertainty during organizational change: Types, consequences, and management strategies

This research tested a model that classifies change uncertainty into three interrelated types: strategic, structural, and job-related. We predicted that control would mediate the effects of job-related uncertainty upon psychological strain, and that management communication and participation in decision-making (PDM) would reduce uncertainty and increase feelings of control. The model was tested in a public sector organization and the results supported it. Control was found to mediate the effects of job-related uncertainty upon psychological strain. Management communication was negatively related to strategic uncertainty, whereas PDM was negatively related to structural and job-related uncertainty, suggesting different mechanisms to deal with the types of uncertainty during change. Finally, PDM was positively associated with feelings of control and negatively associated with psychological strain. These results suggest that PDM can short-circuit the damaging effects of uncertainty by allowing employees to have a say in change related organizational affairs, thereby instilling a sense of control over their circumstances.

Uncertainty during organizational change: Is it all about control?

Uncertainty is a major source of psychological strain during organizational change. This study tested a model of change-related communication, uncertainty, and control and their relationship with psychological strain, job satisfaction, and turnover intentions. Self-report data were obtained from staff at a psychiatric hospital undergoing restructuring. Results indicated that uncertainty had a direct and an indirect (via feelings of lack of control) relationship with psychological strain. Partialling out common method variance led to a complete mediation of this relationship by control. Other predictions about the relationship of these variables with psychological strain, job satisfaction, and turnover intentions were supported. Implications for future research and practice of change communication are discussed.

Why does dissimilarity matter? Exploring self-categorization, self-enhancement, and uncertainty reduction

Although relational demographers have based their arguments on self-categorization theory, they have paid little attention to the underlying processes associated with this theory. The authors examined whether demographic dissimilarity affects individuals' identification with groups by affecting the group's prototype valence and clarity and the individual's perceptions of self-prototypicality. The data showed that the proportion of women and non-Australians in 34 work groups negatively influenced prototype valence, prototype clarity, and self-prototypicality for all members of the group. These results provide support for the continued use of self-categorization theory by relational demographers.