Pathways from Caregiver Problematic Substance Use to Child Harm: A Secondary Data Analysis of the National Survey of Child and Adolescent Well-Being II

Caregiver problematic substance use is a prevalent problem within the child protective services (CPS) system that is associated with negative outcomes for children. Utilizing path analysis models, this dissertation deepens our understanding of the direct and indirect (mediating and moderating) pathways from caregiver problematic substance use to indicators of child harm in two CPS populations: all families investigated for maltreatment (Aim 1) and a sub-group of families in which the children remained in the home after the investigation (Aim 2). Data for these analyses came from the National Survey of Child and Adolescent Well-Being II (NSCAW II), a landmark, longitudinal national probability study of families investigated for child maltreatment. Caregiver problematic substance use was measured in two ways. In Aim 1, caregiver problematic substance use was measured by caseworker-identified problematic drug or alcohol use. In Aim 2, caregiver problematic substance use was measured by caregiver self-report of problematic drug or alcohol use available only in this sub-group. Using the child welfare goals of safety, permanency, and well-being, child harm was operationalized as CPS referrals for services and subsequent reports of maltreatment (safety), having children removed from the home (permanency), and child levels of depression, trauma, internalizing behaviors, or externalizing behaviors (well-being). Mediators included in the models are parental monitoring, harsh discipline, emotional maltreatment, and exposure to violence. Moderators included in the models are caregiver depression, domestic violence, and criminal involvement. Among other findings, this dissertation indicates that emotional maltreatment and caregiver depression are strong pathways through which caregiver problematic substance use is associated with child harm. Bivariate analyses also indicate a need to strengthen training around caregiver problematic substance use for CPS caseworkers. By utilizing the CPS goals of safety, permanency, and well-being, the results of this dissertation have direct implications for national child welfare policies and inform how caregiver problematic substance use is addressed in CPS agencies. Emotional maltreatment and caregiver depression are risk factors that should be targeted in interventions aimed at promoting the safety, permanency, and well-being of children when caregiver problematic substance use is present

Getting to Finished: Strategies to Ensure Completion of the Doctoral Dissertation

This paper reports the results of focus group conversations with thirty-four doctoral students enrolled in an educational leadership program. Doctoral students were asked to provide suggestions and strategies used to complete the doctoral dissertation. The results of these conversations reinforce the value of the collaborative cohort and the proactive interdependence students experienced as a result of working together. These findings highlight the need to examine how doctoral students experience the university context particularly as it relates to the dissertation phase of study. Citation: Holmes, B., Robinson, L., Seay, A.D. (2010). Getting to Finished: Strategies to Ensure Completion of the Doctoral Dissertation. Contemporary Issues in Education Research 3,(7).https://openriver.winona.edu/educationeddfacultyworks/1013/thumbnail.jp

Re-Envisioning The Dissertation Stage Of Doctoral Study: Traditional Mistakes With Non-Traditional Learners

Doctoral students discuss the shift from learning in isolation to collaborative learning during doctoral study. Pros and cons of learning in isolation and collaborative learning will be detailed with various types of collaboration being discussed

Re-Envisioning the Dissertation Stage of Doctoral Study: Traditional Mistakes with Non-Traditional Learners

Doctoral students discuss the shift from learning in isolation to collaborative learning during doctoral study. Pros and cons of learning in isolation and collaborative learning will be detailed with various types of collaboration being discussed. Citation: Holmes, B. D., Seay, A. D., & Wilson, K. N. (2009). Re-Envisioning The Dissertation Stage Of Doctoral Study: Traditional Mistakes With Non-Traditional Learners. Journal of College Teaching & Learning (TLC), 6(8). https://doi.org/10.19030/tlc.v6i8.1109https://openriver.winona.edu/educationeddfacultyworks/1014/thumbnail.jp

A study of the technology leadership of Texas high school principals.

Effectively integrating technology into school requires the presence of informed and visionary leadership. Past research on change in schools demonstrates the importance of the principal to that process. In that research it is obvious that the principal must possess more than skills and knowledge about the change, he or she must also possess leadership skills to lead the campus through the change. Despite this finding, very little research has been attempted to determine the leadership knowledge and skills of principals for technology integration. This study attempts to investigate the technology leadership of high school principals in Texas using the National Educational Technology Standards for Administrators (NETS*A). In addition, this study compares technology leadership among principals who have attended the Technology Leadership Academy with those who have not attended this training. The two questions that guided this study are: (1) What are the technology leadership actions of Texas' high school principals in each of the six technology leadership standards identified by the NETS*A standard document? (2) How are the technology leadership practices of high school principals who participated in the Technology Leadership Academy sponsored by TASA and TBEC different from those who have not participated in the training? Because no existing survey measured technology leadership using the NETS*A, a 46-part survey document was created by the researcher. The survey contained multiple questions covering each of the six standards of the NETS*A and was administered online. Descriptive statistics were used to answer the first research question. A MANVOA, using the combined mean scores for questions covering each NETS*A standard as the dependent variable and the principal's participation in the Technology Leadership Academy as the independent variable, was run to provide answers to the second research question. The principals in this study scored highly in each of the six NETS*A standards. The lowest combined mean score dealt with a principal's leadership and vision for technology. Descriptive statistics showed principals exhibited the highest combined mean score in the area of support, maintenance, and operations. Furthermore, the MANOVA indicated little difference between principals who attended the Technology Leadership Academy and those who did not attend

Cohort Learning For Graduate Students At The Dissertation Stage

Doctoral students discuss the power of collaborative cohort learning in transforming the dissertation phase of doctoral study.  Innovative components of doctoral cohort learning and dissertation preparation are detailed

Cohort Learning for Graduate Students at the Dissertation Stage

Doctoral students discuss the power of collaborative cohort learning in transforming the dissertation phase of doctoral study. Innovative components of doctoral cohort learning and dissertation preparation are detailed.https://openriver.winona.edu/educationeddfacultyworks/1015/thumbnail.jp

Characterization of Facies and Permeability Patterns in Carbonate Reservoirs Based in Outcrop Analogs

More than 13 billion barrels (Bbbl) of mobile oil and 17 Bbbl of residual oil will remain in San Andres and Grayburg reservoirs at abandonment under current development practices. Through the development and application of new recovery technology, a large part of this resource can be recovered. This report focuses on research for the development and testing of new techniques for improving the recovery of this resource. Outcrop and subsurface geologic and engineering data are utilized to develop new methodologies through the integration of geologic observations and engineering data for improving numerical models that predict reservoir performance more accurately. Extensive regional mapping of the 14-mile by 1,200-foot San Andres outcrop, located on the Algerita Escarpment, Guadalupe Mountains, New Mexico, demonstrates that the San Andres carbonate-ramp complex is composed of multiple depositional sequences that have significant basinward shifts in reservoir-quality facies tracts occurring across sequence boundaries. Detailed geologic and petrophysical mapping of three reservoir-quality facies tracts demonstrates that the fundamental scale of geologic description for reservoir characterization is the parasequence and its component rock-fabric-based facies. Descriptions of cores from the Seminole San Andres Unit illustrate that the parasequence is also the fundamental geologic scale for reservoir mapping in the subsurface.Bureau of Economic Geolog

Characterization of Reservoir Heterogenity in Carbonate-Ramp Systems, San Andres/Grayburg Permian Basin

This report summarizes research carried out by the Bureau of Economic Geology's San Andres/Grayburg Reservoir Characterization Research Laboratory (RCRL) from September 1988 through September 1990. The goal of the RCRL program was to develop advanced approaches to reservoir characterization for improved recovery of the substantial remaining mobile oil in San Andres and Grayburg reservoirs. Emphasis was placed on developing an outcrop analog for San Andres strata that could be used as (1) a guide to interpreting the regional and local geologic framework of the subsurface reservoirs and (2) a data source illustrating the scales and patterns of variability of rock-fabric facies and petrophysical properties, particularly in lateral dimensions, and on scales that cannot be studied during subsurface reservoir characterization. Areas selected for study were the San Andres exposures of the Algerita Escarpment in the northern Guadalupe Mountains and the Seminole San Andres Unit on the northern margin of the Central Basin Platform. The outcrop-analog research was emphasized because it had received little attention before this study by either industry or academe. Reports in this summary involve (1) outcrop and subsurface geological characterization of the Algerita Escarpment San Andres and the Seminole San Andres Unit (Kerans), (2) correlation of detailed outcrop mapping in order to research cored wells at Lawyer Canyon, Algerita Escarpment (Nance), (3) diagenetic/petrographic analysis of selected upper San Andres facies focusing on the origin of moldic porosity (Hovorka), (4) geologic engineering description of the upper San Andres carbonates at Lawyer Canyon and the upper producing interval at Seminole (Lucia), (5) geostatistical analysis of permeability patterns and stochastic-based finite-difference modeling of the upper San Andres parasequence window (Senger and Fogg), and (6) deterministic finite element modeling of the upper San Andres parasequence window (Kasap). Availability of basic data for these studies is summarized in the appendix.Bureau of Economic Geolog

The Sonora Brown Dwarf Atmosphere and Evolution Models. I. Model Description and Application to Cloudless Atmospheres in Rainout Chemical Equilibrium

We present a new generation of substellar atmosphere and evolution models , appropriate for application to studies of L-, T-, and Y-type brown dwarfs and self-luminous extrasolar planets. The models describe the expected temperature-pressure profiles and emergent spectra of atmospheres in radiative-convective equilibrium with effective temperatures and gravities within the ranges ≤ Teff ≤ 2400 K and . These ranges encompass masses from about 0.5 to 85 Jupiter masses for a set of metallicities ([M/H] = − 0.5 to + 0.5),C/O ratios (from 0.5 to 1.5 times that of solar), and ages. These models expand the diversity of model atmospheres currently available, notably to cooler effective temperatures and greater ranges in C/O. Notable improvements from past such models include updated opacities and atmospheric chemistry. Here we describe our modeling approach and present our initial tranche of models for cloudless, chemical equilibrium atmospheres. We compare the modeled spectra, photometry, and evolution to various data sets