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Related Concept Videos

Hypothesis Test for Test of Independence01:16

Hypothesis Test for Test of Independence

The test of independence is a chi-square-based test used to determine whether two variables or factors are independent or dependent. This hypothesis test is used to examine the independence of the variables. One can construct two qualitative survey questions or experiments based on the variables in a contingency table. The goal is to see if the two variables are unrelated (independent) or related (dependent). The null and alternative hypotheses for this test are:
H0: The two variables (factors)...
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:
Self-Presentation: Self-Monitoring and Self-Handicapping02:05

Self-Presentation: Self-Monitoring and Self-Handicapping

People can go to great lengths to protect their self-image and present themselves in ways that they want others to see them. Sociologist Erving Goffman presented the idea that a person is like an actor on a stage. Calling his theory dramaturgy, Goffman believed that we use “impression management” to present ourselves to others as we hope to be perceived. Each situation is a new scene, and individuals perform different roles depending on who is present (Goffman, 1959). Think about the way you...
Determination of Expected Frequency01:08

Determination of Expected Frequency

Suppose one wants to test independence between the two variables of a contingency table. The values in the table constitute the observed frequencies of the dataset. But how does one determine the expected frequency of the dataset? One of the important assumptions is that the two variables are independent, which means the variables do not influence each other. For independent variables, the statistical probability of any event involving both variables is calculated by multiplying the individual...
Hazard Ratio01:12

Hazard Ratio

The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial evaluating a...
Stress Prevention and Stress Management Techniques IV01:26

Stress Prevention and Stress Management Techniques IV

Stress often leads to unhealthy habits like smoking, excessive drinking, and overeating, which offer short-term relief but ultimately increase long-term health risks. These behaviors create a cycle that temporarily lowers stress levels but can result in severe long-term health consequences. Breaking these habits is essential to reduce the risk of chronic diseases and improve overall well-being. Three primary changes that support better health include quitting smoking, reducing alcohol intake,...

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Related Experiment Video

Updated: May 9, 2026

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis
08:45

Modeling Alcohol Consumption in Rodents Using Two-Bottle Choice Home Cage Drinking and Microstructural Analysis

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Religiousness and hazardous alcohol use: a conditional indirect effects model.

Peter J Jankowski1, Sam A Hardy, Byron L Zamboanga

  • 1Counseling Psychology Program, Bethel University, 3900 Bethel Dr., St. Paul, MN 55112, USA. pjankows@bethel.edu

Journal of Adolescence
|July 16, 2013
PubMed
Summary

This study found that religiousness indirectly reduces hazardous alcohol use in adolescents by influencing their alcohol expectancies and valuations. Internalized religiousness acts as a protective factor through these expectancy pathways.

Keywords:
AdolescentsAlcohol expectancy valuationsHazardous alcohol useReligiousnessSelf-regulation

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Published on: January 5, 2018

Area of Science:

  • Psychology
  • Adolescent Health
  • Substance Use Research

Background:

  • Adolescent hazardous alcohol use remains a significant public health concern.
  • Understanding the protective factors influencing adolescent alcohol consumption is crucial.
  • Existing research often lacks theoretically informed models with both mediators and moderators.

Purpose of the Study:

  • To examine a conditional indirect effects model linking religiousness and hazardous alcohol use in adolescents.
  • To investigate the roles of alcohol expectancy outcomes and valuations as mediators.
  • To explore the moderating effects of alcohol expectancy valuations.

Main Methods:

  • Utilized structural equation modeling (SEM) on data from 383 adolescents (aged 15-18).
  • Participants completed an online questionnaire assessing religiousness, alcohol expectancies, and alcohol use.
  • Employed a theoretically informed model incorporating mediators and moderators.

Main Results:

  • The proposed model was supported, indicating indirect effects of religiousness on hazardous alcohol use.
  • Religiousness was indirectly associated with reduced hazardous alcohol use via positive alcohol expectancy outcomes and negative alcohol expectancy valuations.
  • Alcohol expectancy valuations significantly moderated the relationship between alcohol expectancies and alcohol use.

Conclusions:

  • Alcohol expectancy valuations are a distinct construct from alcohol expectancy outcomes.
  • Internalized religiousness demonstrates a protective role against adolescent hazardous alcohol use.
  • The findings support a nuanced understanding of how religiousness influences adolescent substance use through cognitive pathways.