A descriptive study of the relationship of teaching level and subject area assignment to teachers\u27 attitudes toward critical thinking

This study describes teachers\u27 attitudes toward critical thinking: their definitions of critical thinking, the importance of critical thinking in their daily lives, how important it is to them that their students use critical thinking in class, whose responsibility it is to teach critical thinking, and who or what has influenced their attitudes about critical thinking. Each of these aspects of critical thinking was analyzed by teaching level (elementary, middle, or high school) and by subject area assignment (English, social studies, mathematics, science, and other ) to determine if relationships exist between these attributes and attitudes toward critical thinking. The population sample (n=408) consisted of 106 elementary, 123 middle, and 179 high school teachers from a large school division in central Virginia. These teachers completed a Critical Thinking Survey developed by this researcher. Results indicate that teachers define critical thinking and critical thinking skills very broadly. There is a lack of consensus about the definition. This is consistent with the literature in the field.Teachers report a high level of importance of critical thinking in their daily lives. They also report that they believe critical thinking to be of great importance to their students, yet only half of the include assessment of critical thinking in their student evaluation procedures. Teachers seem to accept the responsibility for teaching critical thinking to students. They seem confident in their ability to teach critical thinking, yet they report that they have not had adequate professional training for the task. College, graduate school, and job responsibilities have had a great impact on their attitudes about critical thinking. There were no significant differences by level or assignment with regard to definition. With regard to identification of critical thinking skills, differences were significant for ten of the 23 listed skills. There were also differences on ten of 31 items measuring importance of critical thinking, and on three of ten activities for teaching critical thinking skills

Differences in treatment for substance use disorders by insurance status: Self-help only versus outpatient medical treatment

Background: The role of insurance on substance use disorders (SUD) treatment utilization generally is poorly understood and still less is known on how insurance status relates to the use of evidence-based treatment (i.e., medicalization approach) compared to other treatments, like single self-help groups, where the research on effectiveness is less supportive. This study examines associations between health insurance and any SUD treatment utilization as well as use of single self- help versus medicalization approach. Methods: A cross-sectional study design was used. Data were from the 2015-2017, public use National Surveys on Drug Use and Health (NSDUH). Adjusted logistic regressions were used to examine the associations controlling for socio-demographics, recent major depressive episode, and survey year. All analyses used survey weights to be representative of the US population and account for the NSDUH’s complex survey design. Results: After adjustment for covariates, those with publicly insured remained more likely to use any SUD treatment in the past year (odd ratio [OR] 1.82; 95% CI: 1.36-2.43), compared to those without insurance. Further, compared with uninsured, those with public insurance reported lower odds of using only self-help treatment (OR 0.42; 95% CI: 0.23-0.74) versus medicalization approach utilization. Conclusions: Publicly insured persons with SUD are more likely to use SUD treatment in the past year than the uninsured. Uninsured people with SUD are more likely to use single self-help as a substitute for medicalization approach.https://scholarscompass.vcu.edu/gradposters/1098/thumbnail.jp

[Introduction to] Community Wealth Building and the Reconstruction of American Democracy: Can We Make American Democracy Work?

How can we create and sustain an America that never was, but should be? How can we build a truly multiracial democracy in which everyone is valued and possesses the needed political, economic and social capital so that democracy becomes a meaningful way of life, for all citizens? By critically probing these questions, the editors of Community Wealth Building and the Reconstruction of American Democracy seize the opportunity to bridge the gap between our democratic aspirations and our current reality. In a moment of democratic disappointment and anxiety, politicians, policy officials, scholars and citizens desire an effective response. This book assembles new voices and novel perspectives that offer a compelling vision for democracy and the prospects and possibilities afforded by community wealth building, an emerging policy paradigm focused on community-based, creative solutions to systemic problems. The contributors explore how, by cultivating the capacities of citizens, American democracy can be revived - indeed, created - as a veritable practice of everyday life. Scholars of democracy in political science, history, sociology, public policy, economics, African-American studies and related topics as well as policy practitioners, journalists and students will appreciate the cutting-edge work by leading scholars and the contributions from impactful practitioners from the White House to City Halls, in this discussion of the challenges facing contemporary American democracy and the prospects for reform and change. Please download the Introduction from the link above. You may purchase this book directly from the publisher from the link below.https://scholarship.richmond.edu/bookshelf/1381/thumbnail.jp

Development and Validation of eRADAR: A Tool Using EHR Data to Detect Unrecognized Dementia.

ObjectivesEarly recognition of dementia would allow patients and their families to receive care earlier in the disease process, potentially improving care management and patient outcomes, yet nearly half of patients with dementia are undiagnosed. Our aim was to develop and validate an electronic health record (EHR)-based tool to help detect patients with unrecognized dementia (EHR Risk of Alzheimer's and Dementia Assessment Rule [eRADAR]).DesignRetrospective cohort study.SettingKaiser Permanente Washington (KPWA), an integrated healthcare delivery system.ParticipantsA total of 16 665 visits among 4330 participants in the Adult Changes in Thought (ACT) study, who undergo a comprehensive process to detect and diagnose dementia every 2 years and have linked KPWA EHR data, divided into development (70%) and validation (30%) samples.MeasurementsEHR predictors included demographics, medical diagnoses, vital signs, healthcare utilization, and medications within the previous 2 years. Unrecognized dementia was defined as detection in ACT before documentation in the KPWA EHR (ie, lack of dementia or memory loss diagnosis codes or dementia medication fills).ResultsOverall, 1015 ACT visits resulted in a diagnosis of incident dementia, of which 498 (49%) were unrecognized in the KPWA EHR. The final 31-predictor model included markers of dementia-related symptoms (eg, psychosis diagnoses, antidepressant fills), healthcare utilization pattern (eg, emergency department visits), and dementia risk factors (eg, cerebrovascular disease, diabetes). Discrimination was good in the development (C statistic = .78; 95% confidence interval [CI] = .76-.81) and validation (C statistic = .81; 95% CI = .78-.84) samples, and calibration was good based on plots of predicted vs observed risk. If patients with scores in the top 5% were flagged for additional evaluation, we estimate that 1 in 6 would have dementia.ConclusionThe eRADAR tool uses existing EHR data to detect patients with good accuracy who may have unrecognized dementia. J Am Geriatr Soc 68:103-111, 2019

Galaxy mergers at high resolution: From elliptical galaxies to tidal dwarfs and globular clusters

Numerical simulations of galaxy mergers are a powerful tool to study these fundamental events in the hierarchical built-up of galaxies. Recent progress have been made owing to improved modeling, increased resolution and large statistical samples. We present here the highest-resolution models of mergers performed so far. The formation of a variety of substructures ranging from kinematically decoupled cores to globular-like clusters is directly resolved. In a resolution study, we show that the large-scale structure of elliptical-like merger remnants can be affected by the resolution, and a too modest resolution may affect the numerical predictions on the properties of major merger remnants: understanding precisely which kind of event or succession of events has formed the various types of elliptical galaxies remains an open challenge.Comment: To be published in the proceedings of the "Galactic and Stellar Dynamics 2008" conference. 4 page

On the Continuous Formation of Field Spheroidal Galaxies in Hierarchical Models of Structure Formation

We re-examine the assembly history of field spheroidals as a potentially powerful discriminant of galaxy formation models. Whereas monolithic collapse and hierarchical, merger-driven, models suggest radically different histories for these galaxies, neither the theoretical predictions nor the observational data for field galaxies have been sufficiently reliable for precise conclusions to be drawn. A major difficulty in interpreting the observations, reviewed here, concerns the taxonomic definition of spheroidals in merger-based models. Using quantitative measures of recent star formation activity drawn from the internal properties of a sample of distant field galaxies in the Hubble Deep Fields, we undertake a new analysis to assess the continuous formation of spheroidal galaxies. Whereas abundances and redshift distributions of modelled spheroidals are fairly insensitive to their formation path, we demonstrate that the distribution and amount of blue light arising from recent mergers provides a more sensitive approach. With the limited resolved data currently available, the rate of mass assembly implied by the observed colour inhomogeneities is compared to that expected in popular Lambda-dominated cold dark matter models of structure formation. These models produce as many highly inhomogeneous spheroidals as observed, but underpredict the proportion of homogeneous, passive objects. We conclude that colour inhomogeneities, particularly when combined with spectroscopic diagnostics for large, representative samples of field spheroidals, will be a more valuable test of their physical assembly history than basic source counts and redshift distributions. Securing such data should be a high priority for the Advanced Camera for Surveys on Hubble Space Telescope.Comment: 14 pages, 7 figures, submitted to MNRA

Growth of Galactic Bulges by Mergers: I. Dense Satellites

Andredakis, Peletier & Balcells (1995) fit Sersic's law $\mu(r) \sim r^{1/n}$ to the bulges of the Balcells & Peletier (1994) galaxy sample, and infer that $n$ drops with morphological type T from $n \approx$ 4--6 for S0 to $n=1$ (exponential) for Sc's. We use collisionless N body simulations to test the assumption that initially the surface brightness profiles of all bulges were exponential, and that the steepening of the profiles toward the early-types is due to satellite accretion. The results are positive. After the accretion of a satellite, bulge-disk fits show that the bulge grows and that the bulge profile index $n$ increases proportional to the satellite mass. For a satellite as massive as the bulge, $n$ rises from 1 to 4. We present kinematic diagnostics on the remnants and disk thickening. The latter suggests that the bulge growth must have occurred before the last formation of a thin disk in the galaxy. The thick disks created by the merger are reminiscent of thick disks seen in early-type edge-on galaxies. The efficiency of the process suggests that present day bulges of late-type spirals showing exponential profiles cannot have grown significantly by collisionless mergers.Comment: 10 figures (8 poscript and 2 gif). accepted for publication in A&

The near-IR Surface Brightness Method applied to six Cepheids in the young LMC cluster NGC1866

We present new near-IR light curves for six Cepheids in the young blue LMC cluster NGC1866 as well as high precision radial velocity curves for ten Cepheids in NGC1866 and two in NGC2031. For the six Cepheids in NGC1866 with new J and K light curves we determine distances and absolute magnitudes by applying the near-IR surface brightness method. We find that the formal error estimates on the derived distances are underestimated by about a factor of two. We find excellent agreement between the absolute magnitudes for the low metallicity LMC Cepheids with the Period-Luminosity (P-L) relation determined by the near-IR surface brightness (ISB) method for Galactic Cepheids suggesting that the slope of the P-L relations for low metallicity and solar metallicity samples could be very similar in contrast to other recent findings. Still there appears to be significant disagreement between the observed slopes of the OGLE based apparent P-L relations in the LMC and the slopes derived from ISB analysis of Galactic Cepheids, and by inference for Magellanic Cloud Cepheids, indicating a possible intrinsic problem with the ISB method itself. Resolving this problem could reaffirm the P-L relation as the prime distance indicator applicable as well to metallicities significantly different from the LMC value.Comment: 14 pages, 16 figures, accepted for publication in Astronomy and Astrophysic