American Academy of Social Work and Social Welfare 2016 fellows induction program
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Other TitlesAmerican Academy of Social Work and Social Welfare Fellows Induction and Lecture Event 2017
Table of ContentsThe Mission and Purpose of the American Academy of Social Work and Social Welfare, Current AASWSW Board, Welcome, Update on the Academy, Lecture, Recognizing Service to the Academy, New Officer Announcements, Election Results, Announcing Incoming Vice President, Announcing Incoming President, Remarks from Incoming President, Induction of 2016 Fellows, Closing Remarks and Reception, A Special Message from Richard Barth, PhD, Biographies of Speaker and Fellows, AASWSW Fellows, Nominations & Elections Procedures, Founding Sponsors
DescriptionProgram for the American Academy of Social Work and Social Welfare Fellows Induction and Lecture Event. This event was held at the New Orleans Marriott in New Orleans, Louisianna on January 13, 2017 to induct 2016 fellows.
Dr. Michael Sherraden, a distinguished professor at Washington University in St. Louis, presented a lecture titled “Ideas: Evidence and Social Innovation”.
Dr. Claudia J. Coulton and Dr. Diana DiNitto were recognized for their service to the academy. The following new officers were recognized: Rowena Fong, EdD, Jeffrey Jenson, PhD, and Jeanne Marsh, PhD. Incoming Vice President Gail Steketee, PhD, and President Sarah Gehlert, PhD, were announced. Outgoing President Richard Barth, PhD, delivered a special message.
The following 2016 Fellows were inducted into the Academy: Anita P. Barbee, PhD, Gary Bowen, PhD, Maria Cancian, PhD, Dennis P. Culhane, PhD, Shaun Eack, PhD, Cynthia Franklin, PhD, Robyn L. Golden, LCSW, Lorraine Gutierrez, PhD, James Jaccard, PhD, Susan Kemp, PhD, Lena Lundgren, PhD, Michael Reisch, PhD, Michael Vaughn, PhD, Mary Marden Velasquez, PhD, and James Herbert Williams, PhD.
There are brief biographies (including photographs) for the guest lecturer and each of the new fellows. The complete list of Academy fellows is included.
KeywordAmerican Academy of Social Work and Social Welfare
board of directors
Identifier to cite or link to this itemhttp://hdl.handle.net/10713/7448
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Social Stability as a Consistent Measure of Social Context in a Low-Income Social NetworkMoen, Marik; Johantgen, Mary E.; 0000-0001-8369-819X (2018)Background: Increasingly, studies of factors influencing health consider the importance of social contexts in which people are living. The selection of indicators to represent this social context in health research can seem arbitrary. This study examines the potential of social stability as a useful construct to represent social context in these studies. Purpose: This study applied a previous definition of social stability (SS) in a new population and examined its relationship to syndemic risk behaviors (sexual, substance use, and violence). Aim 1 examined whether SS (as measured by German, 2009) can identify distinct subgroups while describing SS prevalence and patterns. Aim 2 assessed whether measures of perceived or historical stability are related to SS status, and whether they influence latent SS classes. Aim 3 explored how SS level and subgroup are associated with risk behaviors, while examining the co-occurrence of these syndemic behaviors. Methods: A secondary analysis of data of heterosexuals at high-risk of HIV infection from the Baltimore site of National HIV Behavioral Surveillance Study was conducted. Descriptive and latent class analyses (LCA) were applied to characterize the prevalence and patterns of SS and risk behaviors and to identify SS subgroups. Logistic and latent class regression were applied to model the relationships of SS to risk behaviors and demographic covariates. Results: SS was more prevalent than expected, and co-occurrence of SS indicators was common in this population. LCA showed evidence for 3 sub-classes: high stability, residential instability, and income, employment instability. Perception or history of stability did not contribute to identifying latent classes. Education was an influential covariate in LCA. Co-occurrence and significant associations among risk behaviors are also common in the population. Ordinal and latent measurements of SS reliably predicted individual and combinations of sexual-substance use- and-violence risks. Relationships vary with the method of SS specification with stronger magnitude of odds of risk associated with the latent approach. Conclusion: Social stability well represented certain aspects of the social context in a new study population and demonstrated an influential relationship with syndemic risks. Consistent measures of SS should be considered for application in research including social conditions and health.