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Related Concept Videos

Bias01:22

Bias

Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
Regression Toward the Mean01:52

Regression Toward the Mean

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 researchers try to extrapolate results...
Inclusive Fitness00:57

Inclusive Fitness

Most altruistic behavior—in which one animal helps another at a cost to themselves—occurs between relatives. Scientists think these altruistic behaviors evolved because they increase the inclusive fitness of the animal providing help.
Social Facilitation01:04

Social Facilitation

Not all intergroup interactions lead to negative outcomes. Sometimes, being in a group situation can improve performance. Social facilitation occurs when an individual performs better when an audience is watching than when the individual performs the behavior alone. This typically occurs when people are performing a task for which they are skilled.
Introduction to Test of Independence01:21

Introduction to Test of Independence

In statistics, the term independence means that one can directly obtain the probability of any event involving both variables by multiplying their individual probabilities. Tests of independence are chi-square tests involving the use of a contingency table of observed (data) values.
The test statistic for a test of independence is similar to that of a goodness-of-fit test:
Relative Frequency Distribution00:55

Relative Frequency Distribution

A relative frequency distribution is the proportion or fraction of times a value occurs in a data set. To find the relative frequencies, one can divide each frequency by the total number of data points in the sample. It is very similar to a regular frequency distribution, except that instead of reporting how many data values fall in a class, a relative frequency distribution reports the fraction of data values that fall in a class. These fractions or proportions are called relative frequencies...

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Related Experiment Video

Updated: May 30, 2026

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies
08:24

The Joint Effect of Social Comparison and Social Distance on Evaluation of Intertemporal Choice Outcomes in Event-related Potential Studies

Published on: August 25, 2023

Income differences and recreational gambling.

Declan T Barry1, Paul K Maciejewski, Rani A Desai

  • 1From the Department of Psychiatry and Women and Addictive Disorders Core of Women's Health Research at Yale, Yale University School of Medicine, New Haven, CT.

Journal of Addiction Medicine
|July 20, 2011
PubMed
Summary

Income significantly influences recreational gambling behaviors and outcomes. Middle/higher-income gamblers exhibit higher bankruptcy rates and engage in more strategic play than lower-income gamblers.

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Area of Science:

  • Public Health
  • Sociology
  • Behavioral Economics

Background:

  • Recreational gambling is a widespread activity with varying socioeconomic correlates.
  • Understanding how income influences gambling behavior is crucial for public health initiatives.

Purpose of the Study:

  • To investigate the relationship between income levels and recreational gambling.
  • To examine how income affects general health, psychosocial measures, and gambling behaviors.

Main Methods:

  • Analysis of a nationally representative U.S. adult sample (n=2417) from the 1998 Gambling Impact and Behavior Study (GIBS).
  • Logistic regression and interaction models were employed to assess the influence of income on gambling correlates.

Main Results:

  • Lifetime bankruptcy was significantly associated with recreational gambling in middle/higher-income groups (OR=2.57, P<0.01), but not lower-income groups (OR=0.82, P=0.58).
  • Lower-income gamblers reported fewer large daily wins/losses and less strategic gambling compared to middle/higher-income gamblers.
  • Middle/higher-income recreational gamblers demonstrated heavier gambling patterns and higher bankruptcy rates.

Conclusions:

  • Income is a critical factor differentiating recreational gambling behaviors and consequences.
  • Public health guidelines for gambling should incorporate income-specific considerations for targeted interventions.