ITWF: The Influence of Professional Identification on the Retention of Women and Racial Minorities in the IT Workforce

anne O'Leary-KellyUniversity of arkansas职业认同对女性和少数族裔在IT工作队伍中保留的影响这个ITWF奖项为研究个体特征和情境经历的差异是否导致女性和少数族裔发展出不同水平的职业认同（与大多数个体相比），以及检验职业认同对IT工作者职业持久性的影响提供了支持。PI和co-PI假设了一个多变量模型和14个具体假设，他们提出的研究项目是基于这些假设。他们的总体主张是，许多有可能影响职业保留的先行因素通过职业认同发挥作用。就女性和少数种族而言，研究人员建议确定哪些和/或这些群体的成员是否经历了不同的先决因素，以及这些差异如何影响对职业的依恋。他们将研究的前因因素包括：(1)选择资讯科技专业的动机；(2)社会化进入IT行业；(3)对IT职业的自我效能感；(4) IT工作经验；(5)职业和其他价值认同的一致性。研究人员计划利用一些IT工作者雇主的合作，在原始数据收集计划中确定并联系一组受访者。他们将开发一种数据收集工具，用于创建三个时间段的个人纵向记录。

EIA-0302692Anne O'Leary-KellyUniversity of ArkansasTitle: The Influence of Professional Identification on the Retention of Women and Racial Minorities in the IT WorkforceThis ITWF award provides support to study whether differences in individual characteristics and situational experiences lead women and minorities to develop different levels of professional identification (compared to majority individuals), and to examine the influence of professional identification on the career persistence of IT workers. The PI and co-PI's postulate a multivariate model and 14 specific hypotheses around which their proposed research project is based. Their general proposition is that many antecedent factors that have the potential to influence career retention operate through professional identification. In terms of women and racial minorities, the researchers propose to determine which and/or if antecedent factors are experienced differently by members of these groups and how these differences influence attachment to the profession. The antecedent factors they will study include: (1) motivation for choosing the IT profession; (2) socialization into the IT profession; (3) self-efficacy regarding a career in IT; (4) experiences in the IT workplace; and (5) congruence of professional and other valued identities. The researchers plan to use the cooperation of a number of employers of IT workers to identify and contact a panel of respondents in a program of original data collection. They will develop a data collection instrument that will be used to create longitudinal records on individuals at 3 time periods.