Research on the influence of information use environments on principals' data-driven decision-making in junior high schools: an application of structural equation modeling

本研究旨在探討國民中學校長資訊使用環境對資料導向決策之影響，並了解校長個人背景是否分別對其資訊使用環境及資料導向決策之實踐造成差異，並根據研究結論，提出建議供有關單位參考。為達上述研究目的，本研究採用問卷調查法，針對臺灣地區北部與中部九縣市（宜蘭縣、基隆市、臺北市、新北市、桃園縣、新竹縣、新竹市、苗栗縣、臺中市）公立國民中學校長為研究對象，採普查方式進行。共寄發問卷357份，回收有效問卷292份，有效回收率為 81.8％。本研究採用 SPSS 17.0 for Windows和AMOS 7.0統計套裝軟體進行分析，獲得以下結論： 一、臺灣地區北部與中部九縣市公立國民中學校長資訊使用環境的運作情形與資料導向決策的運用頻率，均為中高程度。 二、不同性別、主任經歷、教育程度、學校規模、學校歷史、學校地區之校長在資訊使用環境的運作情形上，沒有顯著差異。 三、不同主任經歷、年齡、校長年資、學校歷史、學校地區之校長在資料導向決策的運用頻率上，沒有顯著差異。 四、不同性別、教育程度之校長在合作夥伴關係與區域政治領導此一構面的知覺上有差異。 五、不同年齡、教育程度、校長年資、學校規模之校長在資料分析技巧此一構面的知覺上有差異。 六、不同學校規模之校長在學校願景領導、學校教學領導此二構面的知覺上有差異。 七、本研究建構之模式經過結構方程模式檢定獲得支持，校長資訊環境對資料導向決策具有正向顯著的影響。 最後依據上述研究結論，提出具體建議，以做為教育行政機關、國民中學學校行政參考運用。This study aimed to explore the current situation of the junior high schools’ principals’ influence of information use environments on data-driven decision-making, to analyze the perception of information use environments and data-driven decision-making, to analyze different background variables and school variables’ on the different perception of information use environments on data-driven decision-making, and to discuss the effect of information use environments on data-driven decision-making. Based on the research conclusions, the specific recommendations were proposed for the relevant institutions for references. To achieve these purposes, this study used questionnaire survey method. The principals of public junior high schools in the middle and the northern Taiwan, including Ilan County, Keelung County, Taipei City, New Taipei City, Taoyung County, Hsinchu County , Hsinchu City, Maoli County,and Taichung City, as the study objects. A total of 357 questionnaires were distributed, with 292 valid questionnaires. The effective rate was 81.8%. In this study, SPSS 17.0 for Windows and AMOS 7.0 statistical software were used for analysis and obtained the following conclusions: 1. The rate of the operation of information use environments and data-driven decision-making is high. 2. There is no significant difference in different gender, the directors’ experience, education level, school size, school history and school location in principals’ information use environments. 3. There is no significant difference in different ages, directors’ experience, principal serving years, school history and school location in principals’ data-driven decision-making. 4. There are significant differences in different gender and education level in the perception of principals’ leadership in collaborative partnerships and larger-context politics. 5. There are significant differences in different age, education level, principal severing year and school size in data analysis skills. 6. There are significant differences in different school size in principal’s leadership in school vision and leadership in school instruction. 7. The model constructed in this study was supported through structural equation modeling test. Information use environments of principals have a significant positive impact on data-driven decision- making. Finally, based on the above research conclusions, specific recommendations were proposed as references and applications for educational administration and junior high school administration