Inconsistent therapy attendance is a problem for clients and clinicians. Clients who don’t attend therapy consistently, whether because of their own actions or therapist reasons, may experience difficulty making therapy work effectively for them. Most of the literature regarding inconsistent therapy attendance has examined the demographics of those who are inconsistent and some of the reasons that may contribute to inconsistency. There are only two known studies (Defife et al., 2010; Erekson et al., 2015) that have attempted to examine the impact of inconsistent therapy attendance on therapy outcomes. This study investigated whether inconsistent therapy attendance patterns had a significant impact on client outcomes, as measured by total OQ-45 (Lambert et al., 1994) score. Participants were drawn from counseling center clientele at a large, private, religious university and included 11,794 clients with attendance data for 67,329 scheduled sessions. Hierarchal linear model was used to first determine if the intercept, linear, and quadratic trends had enough initial OQ-45 score variation from client to client to warrant investigating predictors, and second, to determine if consistency, as well as consistency over time, have an impact on the full score OQ-45 starting points and recovery curves. The impact of consistency was found to be significant on the intercept and linear trend of OQ-45 scores. Clients with perfect consistency scores were found to have OQ-45 starting points that were, on average, 10 points lower than their inconsistent peers. In addition, clients with higher levels of consistency across time were found to decrease their symptomology by an average of 2.19 points per session attended, while clients with high inconsistent attendance patterns did not have a significant increase or decrease in OQ-45 score per session. Implications of this study could extend to policies regarding consistency, as well as session limits that could help increase consistency.

No description available.

No description available.

This thesis explores the experiences of managers who work flexibly. Flexible working policies are prevalent in all organizations in the UK because of the legislation giving specific groups of parents and carers the right to request flexible working. Many organizations extend the policies to all employees, yet the take-up is not as high as expected, particularly among staff at managerial levels. This thesis explores how managers construe and experience flexible working arrangements while successfully fulfilling their roles as managers of people. The exploratory study consisted of interviews with eight managers with unique flexible working patterns. Analysis of the interview transcripts identified concepts of consistency and adaptability. Consistency refers to meeting fixed needs from the work and non-work domains, and adaptability refers to the adjustment of schedules to meet the changing demands from those domains. The concepts of consistency and adaptability were further explored in the main study which is based on interviews with 24 women and 10 men who held managerial positions and had a flexible working arrangement which reduced their face time in the workplace. The research offers three main contributions to the literature. At a theoretical level, I propose a model which demonstrates how individuals use consistency and adaptability to meet the fixed and changing demands from the work and non-work domains. This model extends understanding of the complexity of the segmentation/integration continuum of boundary theory, explaining how and why managers use flexible working arrangements as a means of managing boundaries and achieving desired goals in both domains. Four distinct clusters emerged among the managerial participants in terms of the type and direction of adaptability, indicating the range of strategies used by managers to ensure the success of their flexible working arrangements. A detailed description of managers’ flexible working experiences is provided, adding to what is known about the role of manager through the exploration of the enactment of that role when working flexibly.

Akademisk avhandling--Uppsala. / Extra t.p., with thesis statement, inserted. Bibliography: p. 217-235.

No description available.

In the field of psychology, verbal reports are commonly used as a data source to explain human information processing. To date, few studies have investigated the accuracy of verbal reports for providing information on students’ reasoning and problem solving on educational tasks. The purpose of this study is to evaluate the consistency of verbal data, as well as the effects of student achievement, interviewer knowledge level, and item difficulty on the consistency of verbal reports. Seventy-one Grade 12 students from two high schools provided verbal responses to 15 multiple choice test items from the Alberta Pure Mathematics Diploma Examination. Results indicate higher-achieving students demonstrate greater consistencies in verbal reports than moderate achieving students. The implications of the results are discussed and the limitations of the present study are also presented. / Measurement, Evaluation and Cognition

Thesis (M.A.)--West Virginia University, 2004. / Title from document title page. Document formatted into pages; contains vi, 54 p. : ill. Includes abstract. Includes bibliographical references.

Akademisk avhandling--Uppsala. / Extra t.p., with thesis statement, inserted. Bibliography: p. 217-235.

Data assimilation of satellite-based observations of hydrological variables with full numerical physics models can be used to downscale these observations from coarse to high resolution to improve microwave sensor-based soil moisture observations. Moreover, assimilation can also be used to predict related hydrological variables, e.g., precipitation products can be assimilated in a land information system to estimate soil moisture. High quality spatio-temporal observations of these processes are vital for a successful assimilation which in turn needs a detailed analysis and improvement. In this research, pattern recognition and adaptive signal processing methods are developed for the spatio-temporal analysis and enhancement of soil moisture and precipitation datasets. These methods are applied to accomplish the following tasks: (i) a consistency analysis of level-3 soil moisture data from the Advanced Microwave Scanning Radiometer – EOS (AMSR-E) against in-situ soil moisture measurements from the USDA Soil Climate Analysis Network (SCAN). This method performs a consistency assessment of the entire time series in relation to others and provides a spatial distribution of consistency levels. The methodology is based on a combination of wavelet-based feature extraction and oneclass support vector machines (SVM) classifier. Spatial distribution of consistency levels are presented as consistency maps for a region, including the states of Mississippi, Arkansas, and Louisiana. These results are well correlated with the spatial distributions of average soil moisture, and the cumulative counts of dense vegetation; (ii) a modified singular spectral analysis based interpolation scheme is developed and validated on a few geophysical data products including GODAE’s high resolution sea surface temperature (GHRSST). This method is later employed to fill the systematic gaps in level-3 AMSR-E soil moisture dataset; (iii) a combination of artificial neural networks and vector space transformation function is used to fuse several high resolution precipitation products (HRPP). The final merged product is statistically superior to any of the individual datasets over a seasonal period. The results have been tested against ground based measurements of rainfall over our study area and average accuracies obtained are 85% in the summer and 55% in the winter 2007.