Research dataset for the validation of the Technology Acceptance Model (TAM) among secondary school teachers in Greece

This dataset supports the study on the validation of a Technology Acceptance Model (TAM) instrument among Greek secondary school teachers. It includes anonymized data collected from teachers in secondary education in Greece. The dataset contains responses to items measuring the main TAM constructs, including Perceived Ease of Use (PEOU), Perceived Usefulness (PU), adapted Perceived Usefulness items (NPU), and Behavioral Intention (BI), as well as demographic and professional background variables. In addition to the raw variables, the dataset includes recoded variables used in multi-group analyses, such as gender, teaching subject area, diploma level, school type, age group, and teaching years. A codebook is provided to explain the coding scheme and the recoding procedures. These data were used for exploratory and confirmatory factor analyses, exploratory graph analysis, measurement invariance testing, and structural model evaluation. All data have been anonymized prior to publication.本数据集用于支撑一项针对希腊中学教师群体的技术接受模型（Technology Acceptance Model, TAM）量表验证研究，其数据采自希腊中等教育阶段教师，且所有数据均已完成匿名化处理。 数据集包含用于测量TAM核心构念的条目作答数据，所涉构念包括感知易用性（Perceived Ease of Use, PEOU）、感知有用性（Perceived Usefulness, PU）、改编版感知有用性条目（NPU）以及行为意向（Behavioral Intention, BI），同时涵盖人口统计学与职业背景变量。 除原始变量外，本数据集还包含用于多群组分析的重编码变量，涵盖性别、教授学科领域、学历层次、学校类型、年龄段以及教龄等维度。数据集附带编码手册，用以说明编码规则与重编码流程。 上述数据已被用于探索性因子分析与验证性因子分析、探索性图分析、测量不变性检验以及结构模型评估。所有数据在发布前均已完成匿名化处理。