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Journal of Family and Economic Issues_Parenting Challenges in Urban China..csv

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DataCite Commons2024-08-06 更新2024-08-19 收录
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Urban Parents’ Parenting Challenges Survey Data Dataset Name: Urban Parents’ Parenting Challenges Survey Data Abstract: This dataset contains survey data on the challenges faced by urban parents in China in raising children aged 2-6 years. The data aims to understand the primary challenges faced by parents, the demographic factors affecting these challenges, and the strategies parents typically use to seek support. Data Collection Method: The data was collected via an online survey conducted from July 2023 to December 2023. Data Structure: File Format: CSV Rows: Each row represents the response of a single participant. Columns: Includes variables such as respondent ID, grade, gender, birth order, parental ages, socioeconomic status (SES), and 16 parenting challenge scores. Variable Descriptions: id: Unique identifier for each respondent. Birth Order: 1 for first-born, 2 for not first-born. Child’s Gender: Gender of the child. Kindergarten Grade: 3 for lower grade, 4 for middle grade, 5 for upper grade. Grandparent Involvement: Indicates whether grandparents are involved in childcare, 1 for involved, 0 for not involved. Maternal Age, Paternal Age: 1 for <30 years, 2 for 30-34 years, 3 for 35-39 years, 4 for ≥40 years. SES: Socioeconomic status of the family. K1, K2, K3, K4, K5, K7, K8, K9, K10, K11, K12, K13, K14, K15, K16, K17: Scores for 16 parenting challenges (K6 was removed). Attending Kindergarten Parenting Classes, Searching Free Online Resources, Participating in Extracurricular Parenting Training, Utilizing Parental Peer Support, Seeking Advice from Elders, Reading Professional Parenting Books, Consulting Parenting Experts: Parental support-seeking strategies, 1 for selected, 0 for not selected. Data Processing Steps: The raw data was cleaned to remove incomplete responses. All text fields were converted to standardized formats. Usage Notes: Researchers can analyze the data using standard statistical software such as SPSS or R. It is recommended to first check the data distribution and consider appropriate statistical methods for data analysis. Data Limitations: This dataset includes responses from urban parents in China who are raising children aged 2-6 years, and may not be applicable to parents in rural areas or other countries. The data is based on self-reports, which may introduce subjective bias. By providing this detailed description, other researchers can better understand and utilize your dataset for further analysis and research.

数据集名称:城市家长育儿挑战调研数据(Urban Parents’ Parenting Challenges Survey Data) 摘要:本数据集收录中国城市家长在养育2-6岁儿童过程中面临的育儿挑战相关调研数据,旨在探明家长群体遭遇的核心育儿困境、影响此类困境的人口统计学因素,以及家长常用的求助支持策略。 数据收集方式:本数据集于2023年7月至2023年12月通过线上调研采集所得。 数据结构: 文件格式:CSV 行定义:每一行代表一位受访者的单份作答结果 列定义:包含受访者唯一标识ID、年级、性别、出生顺序、父母年龄、社会经济地位(SES)以及16项育儿挑战得分等变量。 变量说明: 1. id:每位受访者的唯一识别码 2. 出生顺序(Birth Order):取值1代表头胎子女,2代表非头胎子女 3. 儿童性别(Child’s Gender):受访家长所照料儿童的性别 4. 幼儿园年级(Kindergarten Grade):取值3代表小班,4代表中班,5代表大班 5. 祖辈参与育儿(Grandparent Involvement):表征祖辈是否参与育儿工作,取值1代表参与,0代表未参与 6. 母亲年龄(Maternal Age)、父亲年龄(Paternal Age):取值1代表<30岁,2代表30-34岁,3代表35-39岁,4代表≥40岁 7. SES:家庭社会经济地位 8. K1、K2、K3、K4、K5、K7、K8、K9、K10、K11、K12、K13、K14、K15、K16、K17:16项育儿挑战的得分(已移除K6项) 9. 家长求助策略类变量:包括参加幼儿园育儿课堂、搜索免费在线育儿资源、参与课外育儿培训、利用家长同辈互助资源、向长辈咨询建议、阅读专业育儿书籍、咨询育儿专家,各变量取值1代表已选择该策略,0代表未选择 数据处理流程:原始数据已完成清洗,剔除作答不完整的样本;所有文本字段均已转换为标准化格式。 使用须知:研究人员可通过SPSS、R等标准统计软件对本数据集开展分析,建议先核查数据分布特征,再选取适配的统计方法进行数据分析。 数据局限性:本数据集仅涵盖中国城市地区养育2-6岁儿童的家长作答样本,可能不适用于农村地区或其他国家的家长群体;数据基于受访者自我报告,可能引入主观偏差。 通过本详细说明,其他研究人员可更好地理解并使用本数据集开展后续分析与研究工作。

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figshare
创建时间:
2024-08-06
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