資料分析首先以平均數、標準差等描述性統計分析受試初任教師在工作困擾、教

资料分析首先以平均数、标准差等描述性统计分析受试初任教师在工作困扰、教学效能与专业表现的整体状况；其次，透过二因子多变量分析来探求不同区域与任教区域的初任教师在工作困扰、教学效能与专业表现的差异分析，若二因子多变量变异数分析达到显著，则使用Scheffé 法做进一步的事后比较，因各组人数不等，较适合使用Scheffé 法来进行事后比较，此外，虽然Scheffé 法较不容易显著，不过犯第一类型错误的机率也较低；最后，本研究欲探讨初任教师的工作困扰、教学效能与专业表现的关系，故使用皮尔森积差相关进行分析，如变项之间的相关系数达显著，则使用多元回归，以了解初任教师的工作困扰与教学效能是否能够预测其专业表现

Data analysis: firstly, descriptive statistics such as mean and standard deviation were used to analyze the overall situation of job distress, teaching efficiency and professional performance of beginning teachers; Secondly, through two-way multivariate analysis, this paper explores the difference analysis of work distress, teaching efficiency and professional performance of beginning teachers in different regions and teaching regions. If the two-way multivariate ANOVA is significant, the Scheff é method is used for further post comparison. Because the number of each group is different, the Scheff é method is more suitable for post comparison. In addition, Although the Scheff é method is not easy to be significant, the probability of not making the first type of error is also low; Finally, this study wants to explore the relationship between beginning teachers' job distress, teaching effectiveness and professional performance, so Pearson product moment correlation is used for analysis. If the correlation coefficient between variables is significant, multiple regression is used to understand whether beginning teachers' job distress and teaching effectiveness can predict their professional performance<br>

资料分析首先以平均数、标准差等描述性统计分析受试初任教师在工作困扰、教学效能与专业表现的整体状况;其次，透过二因子多变量分析来探求不同区域与任教区域的初任教师在工作困扰、教学效能与专业表现的差异分析，若二因子多变量变异数分析达到显著，则使用Scheffé法做进一步的事后比较，因各组人数不等，较适合使用Scheffé法来进行事后比较 ，此外，虽然Scheffé法较不容易显著，不过犯第一类型错误的机率也较低;最后，本研究欲探讨初任教师的工作困扰、教学效能与专业表现的关系，故使用皮尔森积差相关进行分析，如变项之间的相关系数达显著，则使用多元回归，以了解初任教师的工作困扰与教学效能是否能够预测其专业表现