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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:城市父母育儿挑战调查数据(Urban Parents’ Parenting Challenges Survey Data) 摘要:本数据集收录中国城市地区2-6岁儿童父母在育儿过程中面临的各类挑战相关调查数据,旨在厘清父母面临的核心育儿困境、影响此类困境的人口统计学因素,以及父母常用的寻求支持的策略。 数据采集方式:本数据于2023年7月至2023年12月通过线上调查采集获得。 数据结构: 文件格式:CSV 行数:每一行对应一位受访者的完整作答记录。 列项:包含受访者唯一标识、子女年级、子女性别、出生顺序、父母年龄、社会经济地位(socioeconomic status, SES)以及16项育儿挑战得分等变量。 变量说明: id:每位受访者的唯一标识符。 出生顺序(Birth Order):1代表头胎子女,2代表非头胎子女。 子女性别(Child’s Gender):受访者子女的性别。 幼儿园年级(Kindergarten Grade):3代表小班,4代表中班,5代表大班。 祖辈参与照料(Grandparent Involvement):表征祖辈是否参与育儿照料,1代表参与,0代表未参与。 母亲年龄(Maternal Age)、父亲年龄(Paternal Age):1代表年龄<30岁,2代表30-34岁,3代表35-39岁,4代表≥40岁。 SES:家庭社会经济地位。 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)。 参加幼儿园育儿课程(Attending Kindergarten Parenting Classes)、搜索免费线上资源(Searching Free Online Resources)、参加课外育儿培训(Participating in Extracurricular Parenting Training)、利用父母同辈互助资源(Utilizing Parental Peer Support)、向长辈征询建议(Seeking Advice from Elders)、阅读专业育儿书籍(Reading Professional Parenting Books)、咨询育儿专家(Consulting Parenting Experts):父母的求助支持策略,1代表选择该策略,0代表未选择。 数据处理流程:原始数据经清洗以剔除作答不全的样本,所有文本字段均已转换为标准化格式。 使用建议: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,并选取适配的统计分析方法。 数据局限性:本数据集仅包含中国城市地区2-6岁儿童父母的作答样本,可能不适用于农村地区或其他国家的父母;数据基于受访者自我报告,可能引入主观偏差。 通过提供此详细说明,其他研究人员可更好地理解并利用本数据集开展后续分析与研究。

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figshare
创建时间:
2024-08-06
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