Survey Dataset and Supplementary Materials – Need Satisfaction of Romanian Civil Servants (N = 872)

This archive contains the anonymized dataset and supplementary materials related to the study "Gender and Work Zone Effects on Need Satisfaction Among Romanian Civil Servants: A Maslowian Perspective". The data were collected from 872 Romanian civil servants employed across central and local public administration institutions. The dataset includes composite scores for five categories of needs (Physiological, Safety, Belonging, Esteem, Self-Actualization), derived from validated Likert-scale items. Additional documentation includes a codebook with variable explanations and summary statistics. This dataset supports analyses presented in the article, including two-way ANOVA and regression models evaluating the interaction between gender and work zone (urban vs. rural). The dataset includes composite scores for five categories of needs (Physiological, Safety, Belonging, Esteem, Self-Actualization), derived from validated Likert-scale items. Additional documentation includes:- A codebook with variable explanations- Summary statistics- Figures and supporting material used in the analyses This dataset supports analyses presented in the article, including two-way ANOVA and regression models evaluating the interaction between gender and work zone (urban vs. rural). License: This material is distributed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. For more information, please refer to the published article [insert link when available].本存档包含与研究《罗马尼亚公务员性别与工作区域对需求满足的影响：马斯洛视角》相关的匿名化数据集及补充材料。本次研究数据采集自872名任职于中央及地方公共行政机构的罗马尼亚公务员。数据集包含五类需求的综合得分：生理需求、安全需求、归属需求、尊重需求、自我实现需求，得分均来自经过信效度验证的李克特量表（Likert-scale）条目。 补充文档包含带有变量说明的编码手册与描述性统计量。本数据集可用于支撑该论文中呈现的各项分析，包括用于评估性别与工作区域（城镇vs.乡村）交互效应的双因素方差分析（two-way ANOVA）与回归模型。 数据集包含五类需求的综合得分：生理需求、安全需求、归属需求、尊重需求、自我实现需求，得分均来自经过信效度验证的李克特量表（Likert-scale）条目。 补充文档包含： - 带有变量说明的编码手册 - 描述性统计量 - 分析过程中使用的图表及辅助材料 本数据集可用于支撑该论文中呈现的各项分析，包括用于评估性别与工作区域（城镇vs.乡村）交互效应的双因素方差分析（two-way ANOVA）与回归模型。 许可声明：本材料基于知识共享署名4.0国际（Creative Commons Attribution 4.0 International，CC BY 4.0）许可协议发布。 如需获取更多信息，请参阅已发表论文[待后续补充链接]。