I. Adolescent problem gambling: Developing a gambling expectancy instrument

Positive and negative outcome expectancies have been found to play a significant role in adolescents' decisions to engage in drug and alcohol use. In light of the parallel risk and protective factors among high-risk behaviors, youth gambling outcome expectancies were explored through the development of the 23-item Gambling Expectancy Questionnaire (GEQ) using a sample of 1,013 students aged 12 to 18. The resulting GEQ consists of three positive expectancy scales (enjoyment/arousal, self-enhancement, money) and two negative expectancy scales (overinvolvement, emotional impact). The potential utility of this scale is discussed.

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16. The International Centre for Youth Gambling Problems and High-Risk Behaviors (Centre International d’étude sur le jeu et les comportements à risque chez les jeunes)

Youth Gambling ◽

10.1515/9783110255690.249 ◽

2011 ◽

Author(s):

Jeffrey L. Derevensky ◽

Rina Gupta

Keyword(s):

High Risk ◽

Risk Behaviors ◽

Gambling Problems ◽

Youth Gambling ◽

High Risk Behaviors

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Screening for Drug and Alcohol Use Disorders and Their Association with HIV-Related Sexual Risk Behaviors among Men Who Have Sex with Men in Peru

PLoS ONE ◽

10.1371/journal.pone.0069966 ◽

2013 ◽

Vol 8 (8) ◽

pp. e69966 ◽

Cited By ~ 35

Author(s):

Kaysia T. Ludford ◽

Panagiotis Vagenas ◽

Javier R. Lama ◽

Jesus Peinado ◽

Pedro Gonzales ◽

...

Keyword(s):

Alcohol Use ◽

Sexual Risk ◽

Risk Behaviors ◽

Sexual Risk Behaviors ◽

Alcohol Use Disorders ◽

Drug And Alcohol Use ◽

Sex With Men ◽

Drug And Alcohol

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Measuring Gambling Outcome Expectancies in Adolescents: Testing the Psychometric Properties of a Modified Version of the Gambling Expectancy Questionnaire

Journal of Gambling Studies ◽

10.1007/s10899-021-10053-y ◽

2021 ◽

Author(s):

Maria Anna Donati ◽

Jeffrey L. Derevensky ◽

Beatrice Cipollini ◽

Laura Di Leonardo ◽

Giuseppe Iraci Sareri ◽

...

Keyword(s):

Factor Analysis ◽

Psychometric Properties ◽

Reliability And Validity ◽

Positive Outcome ◽

Outcome Expectancies ◽

Emotional Impact ◽

Gambling Behaviour ◽

Response Scale ◽

And Gender ◽

Gambling Outcome Expectancies

AbstractThe Gambling Expectancy Questionnaire (GEQ; Gillespie et al. 2007a) is a 23-item scale assessing three positive outcome expectancies (Enjoyment/Arousal, Money, Self-Enhancement) and two negative outcome expectancies (Over-Involvement, Emotional Impact) related to gambling. It is the most used instrument to assess gambling outcome expectancies in adolescents and it has good psychometric properties. To allow a greater and more useful application of the scale, the present study aimed to modify the GEQ to make it usable with all adolescents, regardless of their gambling behaviour and to verify its psychometric properties. To that aim, the items were modified and the response scale was reduced from a seven-point to a five-point Likert scale. To verify the adequacy of the modified scale, two studies were conducted among Italian adolescents. In the first study (n = 501, 75% males, Mage = 16.74, SD = .88), after having removed four items and relocating another through explorative factor analysis, the original five-factor structure of the scale was confirmed by applying a confirmatory factor analysis. Reliability and validity evidence were also provided. The second study (n = 1894, 61% males, Mage = 15.68, SD = .71) attested its invariance across gambling behaviour status and gender. The modified version of the GEQ (GEQ – MOD) can be profitably used for research and preventive purposes with youth.

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The SRM Approach to Family Assessment

European Journal of Psychological Assessment ◽

10.1027/1015-5759.21.4.216 ◽

2005 ◽

Vol 21 (4) ◽

pp. 216-225 ◽

Cited By ~ 21

Author(s):

William L. Cook

Keyword(s):

High Risk ◽

Risk Behaviors ◽

Social Relations ◽

Family Relationships ◽

Family Dynamics ◽

Family Assessment ◽

High Risk Behaviors ◽

Analysis Group ◽

The Social ◽

Direction Of Effects

Abstract. In family systems, it is possible for one to put oneself at risk by eliciting aversive, high-risk behaviors from others ( Cook, Kenny, & Goldstein, 1991 ). Consequently, it is desirable that family assessments should clarify the direction of effects when evaluating family dynamics. In this paper a new method of family assessment will be presented that identifies bidirectional influence processes in family relationships. Based on the Social Relations Model (SRM: Kenny & La Voie, 1984 ), the SRM Family Assessment provides information about the give and take of family dynamics at three levels of analysis: group, individual, and dyad. The method will be briefly illustrated by the assessment of a family from the PIER Program, a randomized clinical trial of an intervention to prevent the onset of psychosis in high-risk young people.

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