农村父母手机干预方式问卷的编制与信效度检验
Development and Reliability and Validity Test of the Questionnaire on Mobile Phone Intervention Approaches for Rural Parents
摘要: 现有父母媒介干预测量工具多以城市青少年为被试开发,难以适配农村家庭父母长期务工缺位、数字素养薄弱、隔代监护普遍等独特现实约束下的特殊家庭环境,缺少针对性量化工具。本研究以已有研究提出的父母媒介干预分类框架为理论参考,开展深度本土化重构,通过对66名农村高中生与家长的半结构化质性访谈挖掘农村特有教养场景,独立提炼本土干预模式并扩充全新条目,构建适配农村高中生的父母手机干预测量工具,系统完成全套心理测量学检验。对829名农村高中生开展问卷调查,将样本随机拆分:样本1 (n = 415)用于探索性因子分析,样本2 (n = 414)用于验证性因子分析。结果表明,正式量表共24个条目,析出放任、说理引导、限制控制、共同参与、放权、条件交换、借助第三方7个因子,累计方差解释率63.52%;验证性因子分析各项拟合指标达标(χ2/df = 2.06, CFI = 0.920, TLI = 0.904, RMSEA = 0.051, SRMR = 0.058)。总量表Cronbach’s α = 0.736,各维度平均方差萃取量介于0.380~0.653之间,聚合效度、区分效度均满足测量学标准。相较于原有城市版本量表,本研究基于乡村现实原创构建了放任、条件交换两大特色维度,精准捕捉务工、务农背景下农村父母特殊监管行为,量表七因子结构稳定可靠,可作为评估农村高中生父母手机干预行为的标准化工具。
Abstract: Most existing parental mediation measurement tools have been developed with urban adolescents as participants, making them ill-suited to the unique constraints of rural family contexts—characterized by prolonged parental work-related absence, limited digital literacy, and prevalent grandparent-led caregiving—and there remains a notable lack of targeted quantitative instruments. Drawing on the parental mediation typology proposed in existing research as a theoretical reference, this study conducted an in-depth localized reconstruction. Through semi-structured qualitative interviews with 66 rural high school students and their parents, we identified distinctive rural parenting scenarios, independently derived indigenous mediation patterns, and developed new items to construct a parental mobile phone intervention instrument tailored to rural high school students, followed by a comprehensive psychometric evaluation. A survey was administered to 829 rural high school students, and the total sample was randomly split into two subsamples: Sample 1 (n = 415) for exploratory factor analysis (EFA) and Sample 2 (n = 414) for confirmatory factor analysis (CFA). Results indicated that the final scale comprised 24 items loading onto seven factors: Laissez-Faire, Reasoning and Guidance, Restriction and Control, Co-Participation, Empowerment, Contingent Exchange, and Third-Party Mediation, with a cumulative variance explained of 63.52%. The CFA model demonstrated good fit across all indices (χ2/df = 2.06, CFI = 0.920, TLI = 0.904, RMSEA = 0.051, SRMR = 0.058). The overall scale Cronbach’s α is 0.736, and the average variance extracted (AVE) across dimensions ranged from 0.380 to 0.653, with both convergent and discriminant validity meeting psychometric standards. Compared with existing urban-based versions, this scale features two novel dimensions—Laissez-Faire and Contingent Exchange—grounded in the rural realities of labor migration and agricultural livelihoods, which precisely capture the distinctive regulatory behaviors of rural parents under these specific constraints. The seven-factor structure of the scale is stable and reliable, establishing it as a standardized instrument specifically designed to assess parental mobile phone intervention behaviors among rural high school students.
文章引用:刘珂洁 (2026). 农村父母手机干预方式问卷的编制与信效度检验. 心理学进展, 16(9), 267-278. https://doi.org/10.12677/ap.2026.169450

参考文献

[1] 曾秀芹, 刘旭阳(2024). 自主支持抑或控制限制: 数智时代青少年父母媒介干预策略及其高阶模型的验证. 现代传播(中国传媒大学学报), 46(6), 128-138.
[2] 戴艳艳(2025). 困在屏幕里的乡村少年: 网络成瘾的根源与破解之道. 心理学进展, 15(6), 137-144.
[3] 丁倩, 罗星雨, 黄璐, 张永欣(2022). 父母冲突对青少年手机成瘾的影响: 基于溢出假说和情绪安全感理论. 中国临床心理学杂志, 30(3), 653-657.
[4] 共青团中央维护青少年权益部, 中国互联网络信息中心(2023). 5次全国未成年人互联网使用情况调查报告. 中国互联网络信息中心.
[5] 缑赫(2025). 农村学前儿童数字媒介使用与社会情感发展的关系研究. 全球传媒学刊, 12(2), 148-170.
[6] 雷朋(2024). 流动性实践: 乡村留守儿童手机使用和家长干预图景——基于赣西地区T镇的民族志考察. 少年儿童研究, (1), 63-69+13.
[7] 黎藜, 刘滔(2023). 父母干预与农村中小学生的智能手机使用——基于社会认知理论的影响因素研究. 少年儿童研究, (2), 15-24.
[8] 吴依泠, 沈熙, 苏彦捷(2019). 网络使用父母干预方式问卷的修订. 中国临床心理学杂志, 27(4), 680-684.
[9] 徐冠群, 朱姗(2022). 数字时代家庭媒介生态与儿童媒介实践关系——基于鲁中地区W城与Z乡的对比研究. 当代青年研究, (3), 75-83.
[10] 张皓乙, 胡南燕, 宁满秀(2023). 农村青少年互联网使用时间对学业表现的影响——基于父母教养方式的调节效应. 农业技术经济, (9), 70-85.
[11] 张红霞, 刘勤学, 王宇(2024). 父母低头行为对青少年手机依赖的影响: 基本心理需要的中介作用. 心理发展与教育, 40(2), 263-271.
[12] 张筝(2023). 数字时代城乡儿童父母的媒介干预比较研究——以鲁中地区J城和Q乡两地为例. 年儿童研究, (3), 47-55.
[13] Cortina, J. M. (1993). What Is Coefficient Alpha? An Examination of Theory and Applications. Journal of Applied Psychology, 78, 98-104.
https://doi.org/10.1037/0021-9010.78.1.98
[14] DeVellis, R. F. (2017). Scale Development: Theory and Applications (4th ed.). Sage Publications.
[15] Fornell, C., & Larcker, D. F. (1981). Evaluating Structural Equation Models with Unobservable Variables and Measurement Error. Journal of Marketing Research, 18, 39-50.
https://doi.org/10.1177/002224378101800104
[16] Livingstone, S., & Helsper, E. J. (2008). Parental Mediation of Children’s Internet Use. Journal of Broadcasting & Electronic Media, 52, 581-599.
https://doi.org/10.1080/08838150802437396
[17] Nikken, P., & Jansz, J. (2006). Parental Mediation of Children’s Videogame Playing: A Comparison of the Reports by Parents and Children. Learning, Media and Technology, 31, 181-202.
https://doi.org/10.1080/17439880600756803
[18] Podsakoff, P. M., MacKenzie, S. B., Lee, J., & Podsakoff, N. P. (2003). Common Method Biases in Behavioral Research: A Critical Review of the Literature and Recommended Remedies. Journal of Applied Psychology, 88, 879-903.
https://doi.org/10.1037/0021-9010.88.5.879
[19] Raykov, T. (1998). Coefficient Alpha and Composite Reliability with Interrelated Nonhomogeneous Items. Applied Psychological Measurement, 22, 375-385.
https://doi.org/10.1177/014662169802200407
[20] Rosseel, Y. (2012). Lavaan: An R Package for Structural Equation Modeling. Journal of Statistical Software, 48, 1-36.
https://doi.org/10.18637/jss.v048.i02
[21] Valkenburg, P. M., Krcmar, M., Peeters, A. L., & Marseille, N. M. (1999). Developing a Scale to Assess Three Styles of Television Mediation: “Instructive Mediation”, “Restrictive Mediation”, and “Social Co-Viewing”. Journal of Broadcasting & Electronic Media, 43, 52-66.
https://doi.org/10.1080/08838159909364474