地方高校本科生学习状态自评量表的设计研究

目的:编制适用于本科生学习状态的测评量表,并检验其效度和信度。方法:在文献研究与理论研究的基础上,运用头脑风暴法、深度访谈法,结合多年的教学经验设计初始量表。采用分层随机整群抽样的方法对海南省某地方高校的本科生进行现场匿名调查。采用临界比率法、相关分析对量表条目的区分度进行分析;采用探索性因子分析对量表进行效度检验;采用内部一致性信度与分半信度对量表进行信度检验。结果:共发放652份问卷,回收有效问卷608份,有效问卷回收率为93.25%。经探索性因子分析,最终提取了5个因子,共包含28个条目,能解释总方差的56.99%。该量表的总Cronbach'sα系数为0.962,总分半信度为0.868。各维度的α系数均在0.8以上,分半信度均在0.74以上。结论:设计的本科生学习状态测评量表具有良好的效度和信度,能有效测量海南省某高校的本科生学习状态,也能为其他高校测量本科生学习状态提供参考依据。     

Perinatal mental healthcare: Developing skills in midwifery students

Midwives have a pivotal role in screening for risk factors for mental illness and psychosocial vulnerabilities in women during the perinatal period. They also have a key responsibility to provide women with the appropriate resources to support their mental wellbeing. Midwives can lack confidence and/or feelings of competence regarding these skills.Care of women in the context of their perinatal mental health is a core midwifery skill that deserves practical learning during pre-registration education, just as the more ‘hands on’ skills such as abdominal palpation, labour and birth support or newborn examination. However, there is limited opportunity for students to gain clinical placement experiences that are specific to perinatal mental health (PMH).This discussion paper describes an innovative teaching and learning project that aimed to improve confidence in students’ ability to conduct screening, support, and referral of women experiencing mental ill health. The project involved the development of an Objective Structured Clinical Examination (OSCE) and audio visual resources to support learning and teaching and clinical placement. Feedback was collected to inform the refinement of the first OSCE, and to assist in the design of the audio visual resources that are now displayed publicly on the Australian College of Midwives website at https://www.midwives.org.au/Web/Web/Professional-Development/Resources.aspx?hkey=12c2360e-d8b9-4286-8d0a-50aeaeca9702.     

Enterprise Resource Planning (ERP) Competence Constructs: Two‐Stage Multi‐Item Scale Development and Validation*

This paper defines and operationalizes eight ERP competence constructs. We define ERP competence as a portfolio of managerial, technical and organizational skills and expertise posited as antecedents to improved business performance occurring after an ERP system is operational and functionally stable. To improve responses to changes in markets and products, manufacturers are increasingly adopting ERP systems. However, anecdotal accounts indicate that the realization of ERP's potential benefits is rare. Because of its pervasive influence on manufacturing and business performance, the need for scientifically developed and tested multi‐item scales pertaining to ERP competence is highly relevant to manufacturing strategy research. We follow a two‐stage normative process of scale development. First, we identify a portfolio of eight generic constructs that are hypothesized to be associated with successful ERP adoption. Each construct is then operationalized as a multi‐item measurement scale by applying a manual item sorting technique iteratively to independent panels of expert judges until tentative reliability and validity is established. Second, we further refine and validate the multi‐item scales using survey data from 79 North American manufacturing users of ERP systems.