Reviews   总被引：1，自引：0，他引：1  

Abigail L. Rosenthal  Carol Iannone 《Academic Questions》1994,7(2):76-84

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Exploring data management content in doctoral nursing handbooks     

Rebecca Raszewski  Abigail H. Goben  Martha Dewey Bergren  Krista Jones  Catherine Ryan  Alana Steffen  Susan C. Vonderheid 《Journal of the Medical Library Association》2021,109(2):248

Objective:While data management (DM) is an increasing responsibility of doctorally prepared nurses, little is understood about how DM education and expectations are reflected within student handbooks. The purpose of this study was to assess the inclusion of DM content within doctoral nursing student handbooks.Methods:A list of 346 doctoral programs was obtained from the American Association of Colleges of Nursing (AACN). Program websites were searched to locate program handbooks, which were downloaded for analysis. A textual review of 261 handbooks from 215 institutions was conducted to determine whether DM was mentioned and, if so, where the DM content was located. Statistical analysis was performed to compare the presence of DM guidance by type of institution, Carnegie Classification, and the type of doctoral program handbook.Results:A total of 1,382 codes were identified across data life cycle stages, most commonly in the handbooks’ project requirements section. The most frequent mention of DM was in relation to collecting and analyzing data; the least frequent related to publishing and sharing data and preservation. Significant differences in the frequency and location of codes were identified by program type and Carnegie Classification.Conclusions:Nursing doctoral program handbooks primarily address collecting and analyzing data during student projects. Findings suggest limited education about, and inclusion of, DM life cycle content, especially within DNP programs. Collaboration between nursing faculty and librarians and nursing and library professional organizations is needed to advance the adoption of DM best practices for preparing students in their future roles as clinicians and scholars.  相似文献   

Early social communication development in infants with autism spectrum disorder     

Jessica Bradshaw  Courtney McCracken  Moira Pileggi  Natalie Brane  Abigail Delehanty  Taylor Day  Alexis Federico  Cheryl Klaiman  Celine Saulnier  Ami Klin  Amy Wetherby 《Child development》2021,92(6):2224-2234

Social-communication differences are a robust and defining feature of autism spectrum disorder (ASD) but identifying early points of divergence in infancy has been a challenge. The current study examines social communication in 9- to 12-month-old infants who develop ASD (N = 30; 23% female; 70% white) compared to typically developing (TD) infants (N = 94, 38% female; 88% white). Results demonstrate that infants later diagnosed with ASD were already exhibiting fewer social-communication skills using eye gaze, facial expression, gestures, and sounds at 9 months (effect size: 0.42–0.89). Moreover, three unique patterns of change across distinct social-communication skills were observed within the ASD group. This study documents that observable social-communication differences for infants with ASD are unfolding by 9 months, pointing to a critical window for targeted intervention.  相似文献   

Note-Taking Instruction for College Students with Autism Spectrum Disorder     

Deborah K. Reed  Abigail Hallett  Hillary Rimel 《Exceptionality》2016,24(4):195-212

Using a multiple baseline across participants design, this study examines the functional relationship between instruction in note-taking skills and the ability of young adults with autism spectrum disorder to take notes on college lectures. The three participants were enrolled in a program aligned with the Higher Education Opportunity Act (Public Law 110-315) to support students with significant cognitive disabilities in attending community college classes. All had graduated high school on a special diploma status and had mild cognitive disabilities. Despite some variability in performance during baseline (when only the note-taking template was introduced), all three students demonstrated increased performance during intervention when they were taught skills such as distinguishing between subtopics and details, paraphrasing, and using abbreviations and symbols. Participants’ improvements were maintained after the intervention instruction stopped. Participant Tau-U effect sizes ranged from 0.67 to 1.00, and the weighted average Tau-U effect size was 0.88 (CI₉₅ = 0.53 to 1.24). The discussion addresses implications for the postsecondary participation of students with autism spectrum disorder as well as possible changes needed in their secondary education.  相似文献   

Not quite normal: Consequences of violating the assumption of normality in regression mixture models     

Lee Van Horn M  Smith J  Fagan AA  Jaki T  Feaster DJ  Masyn K  Hawkins JD  Howe G 《Structural equation modeling》2012,19(2):227-249

Regression mixture models are a new approach for finding differential effects which have only recently begun to be used in applied research. This approach comes at the cost of the assumption that error terms are normally distributed within classes. The current study uses Monte Carlo simulations to explore the effects of relatively minor violations of this assumption, the use of an ordered polytomous outcome is then examined as an alternative which makes somewhat weaker assumptions, and finally both approaches are demonstrated with an applied example looking at differences in the effects of family management on the highly skewed outcome of drug use. Results show that violating the assumption of normal errors results in systematic bias in both latent class enumeration and parameter estimates. Additional classes which reflect violations of distributional assumptions are found. Under some conditions it is possible to come to conclusions that are consistent with the effects in the population, but when errors are skewed in both classes the results typically no longer reflect even the pattern of effects in the population. The polytomous regression model performs better under all scenarios examined and comes to reasonable results with the highly skewed outcome in the applied example. We recommend that careful evaluation of model sensitivity to distributional assumptions be the norm when conducting regression mixture models.  相似文献