A Qualitative Exploration of Romantic Partners’ Motives for and Content of Communication with Friends Following Negative Relational Events     

Jessalyn I. Vallade  Megan R. Dillow  Scott A. Myers 《Communication quarterly》2016,64(3):348-368

The purpose of this study was to explore young adults’ motives for and content of extradyadic interactions with friends following a negative relational event in a romantic relationship. Focus group discussions with young adults revealed the following partner motives: improving affect, managing uncertainty, obtaining clarity, and entertainment. In turn, friends were motivated by issues of honesty, friendship quality, and a desire to protect or comfort their friend. Both partners and friends discussed the use of a variety of negative, neutral, and positive message content. Results provide an exploratory look at extradyadic interactions that may have important implications for relationship functioning.  相似文献   

Inclusion and Collaboration: PCC CJK Community Growing Strong and Global     

Charlene Chou  Lia Contursi  Sarah Su-Erh Elman  Shuyong Jiang  Jessalyn Zoom 《Cataloging & classification quarterly》2020,58(3-4):317-341

Abstract

Establishing Program for Cooperative Cataloging (PCC) Chinese Japanese Korean (CJK) NACO, BIBCO, CONSER, and SACO funnels grew out of the PCC’s strategy of engaging and inclusion of diverse membership, and the commitment of the Council on East Asian Libraries (CEAL) to collaboration with PCC, the Library of Congress, and the American Library Association. Together, PCC CJK funnels and CEAL’s Committee on Technical Processing (CTP) have been taking leadership roles in contributing quality metadata, developing CJK-specific training programs, participating in the development of PCC policies and best practices, and engaging in international collaborations. This article discusses challenges the CJK funnels and CEAL CTP have faced and strategies taken in this ongoing collaborative endeavor.  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