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PARENT CARING AND THE MOTHER-DAUGHTER RELATIONSHIP

PARENT CARING AND THE MOTHER-DAUGHTER RELATIONSHIP
父母关怀和母女关系
批准号:
3117834
负责人:
ALEXIS J WALKER
金额:
$19.85万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
1986
资助国家:
美国
项目状态:
已结题
起止时间:
1986-06-01 至 1991-05-31

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中文摘要
翻译
一项纵向研究将审查对的影响以及 不断变化的老年寡妇和 他们的双胞胎女儿 有基线的母亲/女儿对 评估是样本。 这项研究将测试这些 假设:(a)强制性的护理,提供护理(不 对需求和健康的不同看法,以及 随着时间的推移,关心的增加与亲密度呈负相关, 附件,和利益,并正相关的成本;(B)在 夫妻关系质量高的,母亲的越来越多, 依赖女儿平衡关系交流; (c)高质量的关系与 评估母亲的决策能力, (d)酌情作出的决定及采取的行动─ 在高质量的互惠交流中培养女儿 失去亲人的痛苦更大 目的性地 样本为150名老年寡妇和她们的主要赡养人 女儿; 50对对照组不需要照顾。 二元组成员 将分别接受采访。 将采取措施评估 亲密,依恋,照顾需求,离婚原因,费用 以及抚养孩子的好处,提供的帮助,母亲的决定- 作出的决定和采取的行动, 未来护理 两人都将在9日报道前一天的活动。 电话采访。 失去亲人的女儿将在 6个月和母亲去世的周年纪念日。 重复测量MANOVA将显示个体和之间- 随着时间的推移,群体在以下方面的差异:(a)关系质量和成本 和父母照顾的好处提供照顾与照顾 管理,强制性与自由裁量权,以及对 其中护理随时间增加;(B)母亲的帮助和感知 高质量与低质量产品的成本和收益 关系和那些照顾增加;和(c) 高质量与低质量女儿的丧亲之痛 关系,互惠与非互惠的援助交换模式, 以及自由裁量权与强制性豁免权。 卡方分析 将评估能力、决策和行动方面的差异, 高质量和低质量关系之间的未来护理。 的 研究之所以重要,是因为 代际关系和生活质量。 长期 目标是维持母亲和女儿的互惠关系, 支持来源,并确定老年人 积极的社会伙伴。
英文摘要
A longitudinal study will examine influences on and the impact of changing interdependence patterns between elderly widows and their caregiving daughters. Mother/daughter pairs with baseline assessments are the sample. The study will test these hypotheses: (a) obligatory caregiving, care provision (not management), differing perceptions of need and health, and increases in care over time are negatively related to intimacy, attachment, and benefits and positively related to costs; (b) in pairs with high relationship quality, mothers' increasingly dependent on their daughters balance their relational exchanges; (c) high-quality relationships are positively associated with assessments of mothers' decision-making competence and decisions and actions for future care; and (d) discretionary- caregiving daughters in high-quality, reciprocal-exchange relationships have a more difficult bereavement. The purposive sample is 150 elderly widows and their primary-caregiving daughters; 50 control pairs have no care needed. Dyad members will be interviewed separately. Measures will assess perceived intimacy, attachment, care needs, reasons for caregiving, costs and benefits of caregiving, help provided, mother's decision- making competence, and decisions made and actions taken for future care. Both will report on previous day's activities in 9 telephone interviews. Bereaved daughters will be interviewed at 6 months and near-yearly anniversaries of the mother's death. Repeated-measures MANOVAs will show individual and between- group differences over time in: (a) relationship quality and costs and benefits of parent caring for care providing vs. care managing, obligatory vs. discretionary caregiving, and pairs wherein care increased over time; (b) mother's aid and perceived costs and benefits for those in higher- vs. lower-quality relationships and those wherein care increased; and (c) bereavement for daughters with higher- vs. lower-quality relationships, reciprocal vs. nonreciprocal aid-exchange patterns, and discretionary vs. obligatory caregiving. Chi-square analyses will assess differences in competence, decisions, and actions for future care between high- and low-quality relationships. The study is important because of the connection between intergenerational relationships and quality of life. Long-term objectives are to maintain mothers and daughters as reciprocal support sources and to identify ways in which the elderly are active social partners.
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PARENT CARING AND THE MOTHER DAUGHTER RELATIONSHIP
  • 批准号:
    3117832
  • 项目类别:
  • 资助金额:
    $9.42万
  • 财政年份:
    1986
  • 负责人:
    ALEXIS J WALKER
  • 依托单位:
PARENT CARING AND THE MOTHER-DAUGHTER RELATIONSHIP
  • 批准号:
    3117831
  • 项目类别:
  • 资助金额:
    $6.86万
  • 财政年份:
    1986
  • 负责人:
    ALEXIS J WALKER
  • 依托单位:
PARENT CARING AND THE MOTHER-DAUGHTER RELATIONSHIP
  • 批准号:
    3117833
  • 项目类别:
  • 资助金额:
    $19.77万
  • 财政年份:
    1986
  • 负责人:
    ALEXIS J WALKER
  • 依托单位:
PARENT CARING AND THE MOTHER/DAUGHTER RELATIONSHIP
  • 批准号:
    2049595
  • 项目类别:
  • 资助金额:
    $2.7万
  • 财政年份:
    1986
  • 负责人:
    ALEXIS J WALKER
  • 依托单位:
国内基金
海外基金
Scalable Learning and Optimization: High-dimensional Models and Online Decision-Making Strategies for Big Data Analysis