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Related Concept Videos

Cross-Sectional Research01:50

Cross-Sectional Research

In cross-sectional research, a researcher compares multiple segments of the population at the same time. If they were interested in people's dietary habits, the researcher might directly compare different groups of people by age. Instead of following a group of people for 20 years to see how their dietary habits changed from decade to decade, the researcher would study a group of 20-year-old individuals and compare them to a group of 30-year-old individuals and a group of 40-year-old...
Measures of Central Tendency02:16

Measures of Central Tendency

The "center" of a data set is also a way of describing location. The two most widely used measures of the "center" of the data are the mean (average) and the median. The words "mean" and "average" are often used interchangeably. The substitution of one word for the other is common practice. The technical term is "arithmetic mean" and "average" is technically a center location. However, in practice among non-statisticians, "average" is commonly accepted for "arithmetic mean."
The Sense of Self: Reflected Self-Appraisal and Social Comparison02:57

The Sense of Self: Reflected Self-Appraisal and Social Comparison

According to Charles Cooley, we base our image on what we think other people see (Cooley 1902). We imagine how we must appear to others, then react to this speculation. We don certain clothes, prepare our hair in a particular manner, wear makeup, use cologne, and the like—all with the notion that our presentation of ourselves is going to affect how others perceive us. We expect a certain reaction, and, if lucky, we get the one we desire and feel good about it. But more than that, Cooley...
Life Tables01:22

Life Tables

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,...
Applications of Life Tables01:22

Applications of Life Tables

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...
Erikson's Theory on Socioemotional Development during Adulthood01:27

Erikson's Theory on Socioemotional Development during Adulthood

Erik Erikson's theory of psychosocial development outlines a series of stages through which individuals progress across the lifespan. Each stage involves a psychosocial conflict that significantly influences personal growth and well-being. Three key stages — intimacy versus isolation, generativity versus stagnation, and integrity versus despair — highlight the developmental challenges faced in adulthood.
Intimacy Versus Isolation in Early Adulthood
Individuals in early adulthood, from the 20s...

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Related Experiment Video

Updated: Jul 12, 2026

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach
10:13

Assessment of Age-related Changes in Cognitive Functions Using EmoCogMeter, a Novel Tablet-computer Based Approach

Published on: February 14, 2014

Income, age and financial satisfaction.

Chang-ming Hsieh1

  • 1Jane Addams College of Social Work, University of Illinois at Chicago, 60607-7134, USA. chsieh@uic.edu

International Journal of Aging & Human Development
|October 10, 2003
PubMed
Summary

Income and age significantly impact financial satisfaction. Social-psychological factors, not just status, explain how age affects income

Area of Science:

  • Social Psychology
  • Economics

Background:

  • Subjective well-being research extensively covers income and age effects.
  • Limited research exists on how income and age specifically influence financial satisfaction.

Purpose of the Study:

  • To empirically investigate the effects of income and age on financial satisfaction.
  • To explore the underlying social-psychological mechanisms driving age-related differences in income's impact on financial satisfaction.

Main Methods:

  • Analysis of data from the General Social Surveys.
  • Empirical examination of income and age variables in relation to financial satisfaction.

Main Results:

  • Findings suggest age differences in income's effect on financial satisfaction are complex.

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  • Results challenge a simple status attainment versus status maintenance framework.
  • Conclusions:

    • The relationship between income, age, and financial satisfaction is nuanced.
    • Future research should carefully consider income measures and age groupings.