预测成年人识字和算术:来自英国队列研究的研究结果
1BI: Department of Leadership and Organisational Behaviour, Norwegian Business School, Nydalsveien 37, 0484 Oslo, Norway.
Acta psychologica
|July 8, 2025
概括
儿童的智力,教育和控制位置是成年人识字和算法的关键预测因素. 父母的社会地位主要通过教育成就影响成年人的技能.
科学领域:
- 心理学 心理学 心理学
- 社会学 社会学 社会学
- 教育教育教育教育教育教育.
背景情况:
- 成年人识字和算术对于个人和社会福祉至关重要.
- 了解这些技能的预测因素对于开发有效的干预措施至关重要.
- 之前的研究已经确定了各种因素,但需要使用全国代表性样本进行全面分析.
研究的目的:
- 调查成年人识字和算法的预测因素.
- 检查这些因素影响成年人技能的直接和间接途径.
- 确定成年人识字和算法的最强有力的预测因素.
主要方法:
- 利用了5397名英国成年人的大型,分层和全国代表性样本.
- 雇佣的纵向数据跟踪个人从童年到成年.
- 应用结构方程建模来分析变量之间的关系.
主要成果:
- 父母的社会地位,童年智力,青少年的控制位置,教育和职业显著预测成人识字和算术.
- 儿童智力,十几岁的控制位置,不适,教育和职业直接占成人技能差异的53%.
- 童年智力是最强的预测因素,其次是教育资格和青少年的控制位置.
- 父母的社会地位的影响在很大程度上是由教育资格介导的.
结论:
- 儿童智力,教育成绩和内部控制位置是成年人识字和算法的关键决定因素.
- 早期生活因素显著塑造成人认知能力,突出早期干预的重要性.
- 政策影响包括专注于改善教育机会,并从童年开始促进认知和心理发展.
更多相关视频
09:00Author Spotlight: Validation of SICOLE-R for Assessing Cognitive and Reading Skills in Spanish-Speaking Children and Its Role in Personalized Education
Published on: August 16, 2024
918
14:43Universal Screening for Prevention of Reading, Writing, and Math Disabilities in Spanish
Published on: July 18, 2020
8.1K
相关概念视频
Health Literacy
4.2K
Health literacy is an individual's or a community's capacity to comprehend, receive, read, and use relevant healthcare information and services. The World Health Organization (WHO, 2018) defines health literacy as the cognitive and social skills that determine the ability of individuals to gain access to, understand, and use information in ways that promote and maintain good health. As a result, the WHO helps individuals manage long-term health concerns, participate in preventative...
4.2K
Longitudinal Research
12.5K
Sometimes we want to see how people change over time, as in studies of human development and lifespan. When we test the same group of individuals repeatedly over an extended period of time, we are conducting longitudinal research. Longitudinal research is a research design in which data-gathering is administered repeatedly over an extended period of time. For example, we may survey a group of individuals about their dietary habits at age 20, retest them a decade later at age 30, and then again...
12.5K
Longitudinal Studies
252
Longitudinal studies are also widely used in other medical and social science fields. For instance, in cardiovascular research, they can monitor patients' health over decades to identify risk factors for heart disease, such as high cholesterol or smoking, and evaluate the long-term effectiveness of preventive measures. Similarly, in mental health studies, researchers might follow individuals from adolescence into adulthood to understand the development and progression of conditions like...
252
Applications of Life Tables
125
Life tables are versatile across various fields, providing a quantitative basis for analyzing mortality and survival rates. Whether used by demographers, actuaries, epidemiologists, or sociologists, life tables offer valuable insights into the dynamics of life and death, facilitating informed decisions in public health, insurance, conservation, and beyond. Their broad applicability highlights the interconnectedness of demographic data with practical outcomes in everyday life and strategic...
125
Regression Toward the Mean
6.5K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.5K
Multiple Regression
3.2K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.2K
