Katerndahl David
University of Texas, Health Science Center, San Antonio, TX 78229-3900, USA.
Nonlinear Dynamics Psychol Life Sci. 2011 Apr;15(2):253-64.
Studies seeking to predict publication rates among faculty have found contradictory results. The purpose of this study was to determine whether short- or long-term research publications among family medicine faculty were better accounted for using cusp catastrophe modeling (CCM) rather than linear modeling. This secondary analysis of annual research publications used data collected from family medicine faculty in a university department. To predict the number of research publications, two service variables -- national service and administrative responsibility -- were used. There were three bifurcation variables: Scholarly Activity, Professional Status, and 'proportion of studies asprincipal investigator'. Research publications at two and five years were modeled using CCM as well as two linear models. Based upon the amount of variance explained, while linear models accounted for more variance in publications at -year intervals, CCM was superior at explaining publications for all three bifurcation variables at -year intervals. Entering all of the bifurcation variables into the models found that CCM explained more of the -year publication variance with Scholarly Activity and national service as significant predictors. In conclusion, short-term career planning needs to consider its irregular cusp behavior and to minimize the possible impact of bifurcation factors.
旨在预测教师发表率的研究得出了相互矛盾的结果。本研究的目的是确定家庭医学教师的短期或长期研究发表情况,使用尖点突变模型(CCM)而非线性模型是否能得到更好的解释。这项对年度研究发表情况的二次分析使用了从一所大学部门的家庭医学教师收集的数据。为了预测研究发表的数量,使用了两个服务变量——国家服务和行政职责。有三个分叉变量:学术活动、职业地位和“作为主要研究者的研究比例”。使用CCM以及两个线性模型对两年和五年的研究发表情况进行了建模。基于所解释的方差量,虽然线性模型在按年间隔的发表情况中解释了更多的方差,但CCM在按年间隔解释所有三个分叉变量的发表情况方面更具优势。将所有分叉变量纳入模型发现,CCM以学术活动和国家服务作为显著预测因子,解释了更多的两年发表方差。总之,短期职业规划需要考虑其不规则的尖点行为,并尽量减少分叉因素的可能影响。