Related Experiment Video
Updated: Dec 24, 2025

04:30
An Experimental Paradigm for Measuring the Effects of Ageing on Sentence Processing
Published on: October 25, 2019
6.0K
The Comparative Macro-Level Ageism Index: An International Comparison.
Ju-Hyun Kim1, Ahyoung Song2, Soondool Chung3
1Associate Professor, Department of Sociology, Chungnam National University, Daejon, South Korea.
Journal of Aging & Social Policy
|April 14, 2020
Summary
This study introduces the Comparative Macro-Level Ageism Index (CMAI) to assess age discrimination across 15 OECD countries. Japan shows the lowest overall ageism, while Turkey exhibits the highest, particularly in workplace discrimination.
Area of Science:
- Gerontology
- Sociology
- Public Policy
Background:
- Ageism, or discrimination against seniors, significantly impacts older adults' quality of life.
- Existing research lacks a standardized, macro-level measure for comparing ageism across nations.
Purpose of the Study:
- To develop and apply the Comparative Macro-Level Ageism Index (CMAI) for assessing ageism in 15 OECD countries.
- To compare levels of age discrimination across different domains (economic status, health, employment, environment, social participation) in selected developed nations.
Main Methods:
- Developed the Comparative Macro-Level Ageism Index (CMAI) through literature review and Delphi method expert interviews.
- Identified five key domains and 17 indicators of ageism.
- Collected and standardized data to compare ageism scores across 15 OECD member countries.
Main Results:
- Overall ageism scores were highest in Turkey and lowest in Japan.
- Turkey showed the highest likelihood of workplace age discrimination, while South Korea had the lowest.
- South Korea scored highest for age discrimination in economic status, whereas Spain had the lowest score in this domain. Japan demonstrated favorable conditions across economic, health, and social participation domains.
Conclusions:
- Significant variations in ageism exist across OECD countries, influenced by structural factors.
- The CMAI provides a valuable tool for objective measurement and cross-national comparison of structural age discrimination.
- Further research is needed to refine objective indicators for structural age discrimination and inform policy interventions.
More Related Videos
Related Concept Videos
Stereotypes, Prejudice, and Discrimination
94.6K
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
94.6K
Aging
514
Aging is a complex biological phenomenon influenced by various processes that affect cellular and systemic functions. Several prominent theories attempt to explain its mechanisms, highlighting cellular limitations, oxidative damage, and hormonal changes as central factors in aging.
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
Cellular Clock Theory
The cellular clock theory posits that the human lifespan is closely tied to the finite capacity of cells to divide, a phenomenon governed by telomeres, which are protective caps at the ends of...
514
Bias in Epidemiological Studies
1.1K
Biases can arise at various stages of research, from study design and data collection to analysis and interpretation. Recognizing and addressing these biases is essential to ensure the validity and reliability of epidemiological findings.Broadly speaking, biases in epidemiology fall into three main categories: selection bias, information bias, and confounding. A more detailed description of possible biases is:
1.1K
Applications of Life Tables
269
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...
269
Measures of Intelligence
8.1K
Psychologists measure intelligence by using standardized tests that produce a score known as the intelligence quotient or IQ. To understand IQ tests, it's important to recognize the key principles behind their construction: validity, reliability, and standardization.
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
Validity refers to how well a test measures what it claims to measure. An intelligence test should accurately assess intelligence rather than another characteristic, like anxiety. Criterion validity is one way to evaluate this;...
8.1K
Life Tables
427
A life table is a statistical tool that summarizes the mortality and survival patterns of a population, providing detailed insights into the likelihood of survival or death across different age intervals within a cohort. By organizing data on survival probabilities and mortality rates, life tables offer a clear snapshot of population dynamics over time. They are extensively used in demography, public health, actuarial science, and ecology to analyze life expectancy, design health interventions,...
427

