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Related Concept Videos

Self-Report Tests of Personality01:22

Self-Report Tests of Personality

Self-report inventories are objective personality assessments that use multiple-choice items or numbered scales, typically ranging from 1 (strongly disagree) to 5 (strongly agree). They are often called Likert scales after Rensis Likert. These inventories are widely used due to their ease of administration and cost-effectiveness. One of the most prominent examples is the Minnesota Multiphasic Personality Inventory (MMPI), initially developed in the 1940s to assess abnormal personality traits.
The Placebo Effect01:54

The Placebo Effect

The placebo effect occurs when people's expectations or beliefs influence or determine their experience in a given situation. In other words, simply expecting something to happen can actually make it happen.
Blind Procedures02:07

Blind Procedures

Ideally, the people who observe and record the children’s behavior are unaware of who was assigned to the experimental or control group, in order to control for experimenter bias. Experimenter bias refers to the possibility that a researcher’s expectations might skew the results of the study. Remember, conducting an experiment requires a lot of planning, and the people involved in the research project have a vested interest in supporting their hypotheses. If the observers knew which child was...

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Using the Threat Probability Task to Assess Anxiety and Fear During Uncertain and Certain Threat
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Validation of the Marijuana Effect Expectancy Questionnaire-Brief.

O Torrealday1, L A R Stein, N Barnett

  • 1O. Torrealday, PhD, is Director, Office of Clinical Services, Juvenile Court of Memphis and Shelby County, Memphis, TN. L. A. R. Stein, PhD, is Assistant Professor, Cancer Prevention Research Center and Psychology Department, University of Rhode Island, Kingston, RI; and Rhode Island Training Institute, Cranston, RI. N. Barnett, PhD, is affiliated with the Department of Psychiatry & Human Behavior, Center for Alcohol & Addiction Studies, Brown University, Providence, RI. C. Golembeske, PhD, is affiliated with the Rhode Island Training School, Cranston, RI. R. Lebeau, MPH, PhD, is affiliated with the Cancer Prevention Research Center, University of Rhode Island, Kingston, RI. S. M. Colby, PhD, is affiliated with the Department of Psychiatry & Human Behavior, Center for Alcohol & Addiction Studies, Brown University, Providence, RI. P. M. Monti, PhD, is affiliated with the Department of Psychiatry & Human Behavior, Center for Alcohol & Addiction Studies, Brown University, Providence, RI; and Providence VA Medical Center, Providence, RI.

Journal of Child & Adolescent Substance Abuse
|November 8, 2011
PubMed
Summary
This summary is machine-generated.

A brief Marijuana Effect Expectancy Questionnaire (MEEQ-B) was developed to assess adolescent marijuana expectancies. The MEEQ-B identified positive and negative effects, correlating with marijuana use, aiding clinical assessment.

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Area of Science:

  • Psychology
  • Substance Abuse Research
  • Adolescent Health

Background:

  • Understanding adolescent marijuana use is critical.
  • Expectancy measures inform prevention and intervention strategies.
  • The original Marijuana Effect Expectancy Questionnaire (MEEQ) is lengthy.

Purpose of the Study:

  • To evaluate a brief version of the MEEQ (MEEQ-B).
  • To assess the psychometric properties of the MEEQ-B.
  • To determine its utility in clinical settings for youth.

Main Methods:

  • The original MEEQ was reduced to a 6-item scale (MEEQ-B).
  • Principal component analysis (PCA) was used to identify underlying factors.
  • Internal consistencies and correlations with criterion variables were examined.

Main Results:

  • PCA revealed two factors: positive and negative effects, explaining 52.3% of the variance.
  • Internal consistencies ranged from 0.42 to 0.60, slightly lower than the original MEEQ.
  • The negative effect expectancy scale showed significant correlation with marijuana use indicators (p ≤ .05).

Conclusions:

  • The MEEQ-B is a potentially useful tool for clinicians assessing youth marijuana expectancies.
  • The measure's brevity enhances its clinical applicability.
  • Replication in diverse samples of adjudicated youth is recommended for further validation.