Dataset II_Nvivo database on staff interview transcripts about faculty faculty development for online teaching_v1 01-06-2023.nvp

<i>Dataset II:</i> We designed the interviews (see ESM C) to capture a holistic view of the teaching staff's perceptions of all the Faculty Development (FD) available and how they have applied any knowledge or skills acquired from them. Members of the research team completed the questionnaire and refined it. We emailed an online survey to the Faculty of Medical and Health Sciences (FMHS) University of Auckland, teaching community, comprising approximately 460 staff members. We included the invitation to an interview by a link at the end of the survey.We went through an iterative approach to refining the interview question guide with our external consulting agency (Academic Consulting LTD).<br>Qualitative methods sampling continues until data saturation—when no new information emerges from the collected data—which, according to Ando et al. (Ando et al. 2014), often occurs with 12 participants in a relatively homogenous sample. We stopped interview recruitment at 20 participants.<br>This is underlying data associated with the article 'Faculty development for strengthening online teaching capability: being responsive to what staff want, evaluated with Kirkpatrick’s model of teaching effectiveness' which has been published in MedEdPublish 2023, <b>13</b>:127 (https://doi.org/10.12688/mep.19692.1).

数据集二：我们设计了访谈方案（详见ESM C），以期全面获取教职员工对现有全部师资发展（Faculty Development，FD）项目的认知，以及他们如何应用从这些项目中习得的知识与技能。本研究团队成员率先完成问卷编制并对其进行多轮优化。我们向奥克兰大学医学与健康科学学院的教学共同体成员推送了在线问卷调研，该群体共计约460名教职员工，并在问卷末尾附带了访谈邀请链接。我们联合外部咨询机构Academic Consulting LTD，通过迭代式流程完成了访谈提纲的打磨优化。
质性研究的抽样将持续至达成数据饱和——即采集的数据中不再涌现新的有效信息——根据Ando等人（Ando et al. 2014）的研究结论，相对同质的样本通常在纳入12名参与者时即可达到数据饱和。本研究最终在招募20名访谈参与者后终止了招募工作。
本数据集为发表于《MedEdPublish》2023年第13卷第127期的论文《强化在线教学能力的师资发展：响应教职员工需求，基于柯克帕特里克教学效果模型开展评估》（DOI: 10.12688/mep.19692.1）的配套原始研究数据。