Development of the instrument ‘Assessment of Intervention choice in Community Nursing’ (AICN); A method for measuring outcomes of education

This database represents data from respondents with the purpose to develop and test the new measuring instrument AICN (Assessment of Intervention choice in Community Nursing), and to develop a codebook with in and exclusion criteria, used to transform the qualitative data into a quantitative value.<br> Methodology: the instrument was pilot-tested in four phases (see below). The data obtained were used to (1) test the AICN on face validity and practical usability, and (2) develop a code book in the form of a calibration process, performed by three assessors (MvI, CL and JM). In this process, psychometric analyses were conducted in each testing round to calculate the inter rater reliability with Cohen’s kappa <i>k.</i><br>Data collection took place at the Faculty of Health of the Amsterdam University of Applied Sciences, The Netherlands, in 2016.<br>The numbers of the assessments correspond with the numbers used in the datasets and are organised as follows: Assessment 3.2 refers to phase 3, respondent 2. The variable 'index 1' in the SPSS files refers to a nursing intervention in the AICN; the first number represents the number of the case, and the second the number of the intervention (e.g., CS1INV2= case 1, intervention 2). The syntax-file is added (equal for each testing round), used to calculate the inter rater reliability with Cohen's kappa.<br>Phase 1: SPSS file and 9 assessments. The respondents are lecturers and nurses being experts in the field of community nursing. <br>Phase 2 and 3: SPSS file and 6 assessments per phase from students not involved in the study.<br>Phase 4: SPSS file and 6 assessments of nursing lecturers. <br>Contact<br>Because of the sensitive nature of the data, the fileset is confidential and will be shared only under strict conditions. For more information contact [e-mail]<br>

本数据库收录受访者相关数据，旨在开发并测试新型测量工具AICN（Assessment of Intervention choice in Community Nursing），同时编制包含纳入与排除标准的编码手册，以实现质性数据向量化数值的转化。
方法学：本工具采用四阶段预试验（详见下文）。所得数据用于两项核心任务：（1）从表面效度与实际可用性层面检验AICN；（2）由3名评估者（MvI、CL与JM）开展校准流程以编制编码手册。在此流程中，各测试轮次均开展心理测量学分析，以Cohen’s kappa（κ）系数计算评分者间信度。
数据采集工作于2016年在荷兰阿姆斯特丹应用科学大学健康学院完成。
评估编号与数据集内编号一一对应，组织规则如下：评估3.2指代第3阶段的第2位受访者。SPSS文件中的"index 1"变量对应AICN中的护理干预条目，首位数字代表案例编号，第二位数字代表干预条目编号（例如CS1INV2代表案例1、干预2）。本数据集附带语法文件（各测试轮次通用），用于通过Cohen’s kappa系数计算评分者间信度。
阶段1：包含SPSS文件与9份评估数据，受访者为社区护理领域的专家讲师与护士。
阶段2与阶段3：各包含SPSS文件与6份评估数据，数据来自未参与本研究的学生。
阶段4：包含SPSS文件与6份护理讲师的评估数据。
联系方式：鉴于数据涉及敏感内容，本数据集为机密文件，仅可在严格条件下共享。如需获取更多信息，请联系[e-mail]