Are Gambling Related Cognitions in Adolescence Multidimensional?: Factor Structure of the Gambling Related Cognitions Scale

The present study examined the factor structure of the Gambling Related Cognitions Scale (GRCS); (Raylu and Oei in Addiction 99:757–769, 2004) in a large sample of adolescents (N = 1,490) between the ages of 16 and 18 years (630 males, 860 females) attending several high schools in central Ontario. Problem gambling was measured using the DSM-IV-J (Fisher in J Gambl Stud 8:263–285, 1992). A 5-factor GRCS model was found to have the best fit to the data, and gambling-related cognitions were found to be powerful predictors of disordered gambling among adolescents. However, strong associations among GRCS subscales, as well as the small amount of variance in problem gambling accounted for by specific GRCS subscales, call into question the multidimensionality of the GRCS when used with adolescents.     

Gambling Related Cognitions Mediate the Association Between Thinking Style and Problem Gambling Severity

This study examined the associations among thinking style (rational versus experiential), gambling related cognitions, and problem gambling severity. The participants were 70 female and 41 male regular gamblers who completed the Gambling Related Cognitions Scale (Raylu and Oei, Addiction 99:757–769, 2004), the Rational-Experiential Inventory (Pacini and Epstien, J Pers Soc Psychol 76(6):972–987, 1999), and the Problem Gambling Severity Index (Ferris and Wynne, The Canadian problem and gambling index: final report. Canadian Centre on Substance Abuse, Ottawa, 2001). Rational thinking was negatively related to problem gambling severity. Gambling related biases increased with problem gambling severity but the strength of those biases was dampened by rational thought. The patterns by which gambling related cognition mediated the association between thinking style and gambling severity suggest that therapeutic interventions may benefit from a consideration of a gambler’s thinking style.     

Psychometric Evaluation of the Problem Gambling Severity Index-Chinese Version (PGSI-C)

The purpose of this study was to examine the psychometric properties of the Chinese 9-item Problem Gambling Severity Index (PGSI) derived from the 31-item Canadian Problem Gambling Index (CPGI) originally developed by Ferris and Wynne (2001). Exploratory factor analysis (EFA; n = 386; Group A data) and confirmatory factor analysis (CFA; n = 387; Group B data) on the Chinese student and community data (Mean age = 25.36 years) showed that a unifactorial model fitted the data with good reliability score (Cronbach’s alpha = 0.77). The concurrent validity of the PGSI-C was good in terms of the Chinese data matching the expected correlation between PGSI-C and other variables or scales such as SOGS, gambling frequency, gambling urge, gambling cognitions, depression, anxiety, and stress. The scale also reported good discriminant and predictive validity. In sum, the PGSI-C has good psychometric properties and can be used among Chinese communities to identify at-risk problem gamblers. Implications and suggestions for future research are discussed.     

Validation of the Chinese Version of the Gambling Motivation Scale (C-GMS)

The French items of the Gambling Motivation Scale (GMS) were first developed and validated by Chantal and colleagues in 1994. The scale then became one of the most widely used motivational scales in the gambling literature of the West. The present study recruited 932 Chinese university students in order to validate the Chinese version of the Gambling Motivation Scale (C-GMS). The results of a confirmatory factor analysis of the Chinese data supported the 7-factor model as proposed by Chantal et al. (Soc Leis 17:189–212, 1994). This study also found a second-order model with three major factors, which corresponded to three types of gambling motivation including self-determined motivation (for knowledge, for accomplishment, for stimulation, and due to identified regulation), non self-determined motivation (due to introjected regulation and external regulation), and amotivation. All subscales demonstrated satisfactory internal consistency, and showed significant correlations with gambling correlates such as problem gambling symptoms and gambling intention. In sum, the C-GMS showed adequate psychometric properties and can be extended for use with Chinese populations.     

The Gambling Cognitions Inventory: scale development and psychometric validation with problem and pathological gamblers

Cognitive distortions are typically identified as an important etiological factor in pathological gambling. The Gambling Cognitions Inventory (GCI) developed by Holub (2003) is examined in this study using a sample of 710 pathological gamblers collected in four Canadian studies. Confirmatory factor analysis did not support the initial 40-item scale and suggested a 33-item scale. The sample was split into two groups to conduct exploratory and confirmatory factor analyses. Scree plots and parallel analysis suggested a two-factor scale. The scale developed by exploratory factor analysis on the first sample was supported by confirmatory factor analysis on the second sample (CFI>0.95; RMSEA < 0.05). The two factors indicated a Skill and Attitude subscale and a Luck and Chance subscale. Analysis conducted within each of the four studies showed good internal reliability for the scale (range of α = 0.91–0.95) and subscales (α = 0.77–0.92). The scale and subscales correlated with gambling severity measures as well as other measures of gambling cognitions including the Gambling Attitudes and Beliefs Scale and the Gambling Beliefs Questionnaire. The results of the study indicate that the GCI is a psychometrically strong scale and may be beneficial in directing cognitive therapy to the most problematic cognitions.     

Psychosocial Factors Related to Gambling Abstinence and Relapse in Members of Gamblers Anonymous

Problem gamblers account for almost one-third of the industry’s total revenue with the adverse effects of problem gambling including significant financial loss, legal and occupational difficulties, family problems, psychological distress and suicide. As such, it is important to understand the influential factors in gambling abstinence and relapse, which will assist in the development of relapse prevention methods in therapeutic treatment regimes. This paper reported the role of a set of seven predictors in distinguishing between abstinent and relapsed gamblers among 75 Gambling Anonymous (GA) members (55 males; 20 females; Mean age 45 years) in Southeast Queensland. The measures taken were meeting Attendance and Participation, Social Support, God Belief, Belief in a Higher Power, Working the 12-steps of Recovery, Gambling Urges and Erroneous Cognitions. Discriminant analysis revealed that the variables separating the two groups were significant, suggesting that GA members achieving abstinence could be distinguished from those who relapsed, with Attendance and Participation, and Social Support contributing the greatest influence on member’s ability to abstain from gambling. The findings suggested that GA member’s involvement in meetings, and support from family and friends had significant impact on their gambling abstinence. In contrast, increased gambling urges and erroneous cognitions increased the chance of relapse.     

Mahjong Gambling in the Chinese-Australian Community in Sydney: A Prevalence Study

Mahjong is a popular gambling game played in Chinese communities all over the world (Papineau, China Perspect 28:29–42, 2000) and is sometimes referred to as ‘国赌’ (guodu, the Chinese national gambling game) or ‘修长城’ (xiu changcheng, repairing the Great Wall). Exploratory studies using snowball sampling conducted by Zheng et al. (J Psychol Chin Soc 9(2):241–262, 2008) indicated that Mahjong is not only a popular pastime within the Sydney Chinese community but also problematic for around 3% of players. The current study aimed to extend earlier studies by estimating the prevalence of Mahjong problem gambling in a random sample of Sydney Chinese community members. In addition, due to first-hand gambling experience of the first author with superstitious Mahjong players, the study also investigated the role of superstitious beliefs in Mahjong gambling. The current study involved a series of self-report questionnaires administered to 469 randomly selected Chinese Australians in Sydney. The problem gambling rate, assessed by the Canadian Problem Gambling Index (CPGI), was 3.8%, with Chinese males and older Chinese prominent. Superstitious beliefs were found to play a part in the maintenance of Mahjong gambling behaviour. Information stemming from the current study has helped gain insight into culturally specific forms of gambling, and to identify correlates of problem gamblers. Funding bodies and counselling services should be aware of the existence of this form of gambling, and should devise appropriate treatment plans for Mahjong problem gamblers.     

Assessing the Reliability of the Gambling Functional Assessment: Revised

Dixon and Johnson (Anal Gambl Behav 1: 44–49, 2007) proposed the Gambling Functional Assessment as a tool to identify the consequences maintaining the respondent’s gambling behavior, but subsequent studies on its psychometric properties suggested that it could use improvement. The present study investigated the internal consistency of the Gambling Functional Assessment—Revised using the responses of 1,060 undergraduate students. Temporal reliability was assessed by a second administration of the measure four (n = 87) or twelve (n = 98) weeks after the first administration. Temporal reliability was also compared to the South Oaks Gambling Screen (Lesieur and Blume in Am J Psychiatry 144: 1184–1188, 1987), which was also administered at both time points. Internal consistency measures were good to excellent, even when potential non-gamblers were excluded from the analyses. Temporal stability was also very good, with the possible exception of the consequence of “escape” at 12 weeks. The Gambling Functional Assessment—Revised represents a potentially useful tool for researchers and therapists interested in why respondents are gambling.     

Validation of the Consumption Screen for Problem Gambling (CSPG)

A 3 item screen for problem gambling was developed based on a conceptual analogue of the Alcohol Use Disorders Identification Test—Consumption (Bush et al. in Arch Intern Med 158:1789–1795, 1998); a brief screen that measures consumption rather than harm. Data were collected from an email panel survey of 588 men and 810 women (n = 1,398) across all states in Australia. Respondents indicated their consumption of gambling products using the 3 items of the new Consumption Screen for Problem Gambling (CSPG). Receiver Operating Characteristics curve analysis was used to analyze the performance of the new items relative to the Problem Gambling Severity Index (Ferris and Wynne in The Canadian problem gambling index: Final report, 2001). Results show a 98% probability that the CSPG score for a randomly chosen positive case of problem gambling will exceed the score for a randomly chosen negative case. In addition, a score of 4+ on the CSPG identified all 14 cases of Problem Gambling correctly, while only 7.3% of non-problem gamblers had scores of 4+ (sensitivity = 100%; specificity = 92.7%). Lastly, only 3.0% of respondents without any gambling problems had CSPG scores of 4+. The current study suggests that the CSPG, a brief consumption-based measure for gambling products, can quickly and accurately identify people who are likely to be experiencing gambling problems.     

Internet Gamblers Differ on Social Variables: A Latent Class Analysis

Online gambling has gained popularity in the last decade, leading to an important shift in how consumers engage in gambling and in the factors related to problem gambling and prevention. Indebtedness and loneliness have previously been associated with problem gambling. The current study aimed to characterize online gamblers in relation to indebtedness, loneliness, and several in-game social behaviors. The data set was obtained from 584 Internet gamblers recruited online through gambling websites and forums. Of these gamblers, 372 participants completed all study assessments and were included in the analyses. Questionnaires included those on sociodemographics and social variables (indebtedness, loneliness, in-game social behaviors), as well as the Gambling Motives Questionnaire, Gambling Related Cognitions Scale, Internet Addiction Test, Problem Gambling Severity Index, Short Depression–Happiness Scale, and UPPS-P Impulsive Behavior Scale. Social variables were explored with a latent class model. The clusters obtained were compared for psychological measures and three clusters were found: lonely indebted gamblers (cluster 1: 6.5%), not lonely not indebted gamblers (cluster 2: 75.4%), and not lonely indebted gamblers (cluster 3: 18%). Participants in clusters 1 and 3 (particularly in cluster 1) were at higher risk of problem gambling than were those in cluster 2. The three groups differed on most assessed variables, including the Problem Gambling Severity Index, the Short Depression–Happiness Scale, and the UPPS-P subscales (except the sensation seeking subscore). Results highlight significant between-group differences, suggesting that Internet gamblers are not a homogeneous group. Specific intervention strategies could be implemented for groups at risk.     

An investigation of the link between gambling motives and social context of gambling in young adults

The current study examined the relationship between gambling motives and gambling in various social contexts using both retrospective and real-time assessment of gambling social context. Ninety-five young adults (79 males, 16 females; aged 19–24 years) who reported gambling at least 4 times in the past month participated. Scores on the Gambling Motives Questionnaire (GMQ; Stewart & Zack, 2008) were used as a measure of gambling motives (Enhancement, Social, Coping). Data on the social context of gambling (alone, with family, with friends, with strangers) were derived retrospectively from the Gambling Timeline Follow-Back (G-TLFB; Weinstock, Whelan, & Meyers, 2004) as well as in real time using experience sampling (ES) methods (Conner Christensen, Feldman Barrett, Bliss-Moreau, Lebo, & Kaschub, 2003). For both the G-TLFB and ES data, we conducted a series of multivariate regression analyses with the block of gambling motives predicting gambling behaviour in each social context. Across the two assessment methods, coping gambling motives positively predicted gambling alone, whereas social gambling motives negatively predicted gambling alone and positively predicted gambling with friends. These findings suggest that individuals who gamble for particular motives are more likely to do so in specific social contexts.     

Poker Mania and Problem Gambling: A Study of Distorted Cognitions,Motivation and Alexithymia

This study examines the relationships between distorted cognitions, motivation, and alexithymia on problem gambling in poker players (n = 96). Respondents completed questionnaires containing the Canadian Problem Gambling Index, Gambling Motivation Scale, Gambler’s Beliefs Questionnaire, and Toronto Alexithymia Scale-20. The results suggest that problem gambling is significantly related to distorted cognitions, non-self-determined motivation, and difficulty identifying feelings. Implications are drawn for the development of more relevant intervention, prevention, and treatment strategies.     

Assessing the Reliability of the Gambling Functional Assessment

Dixon and Johnson (Analysis of Gambling Behavior 2007, 1:44–49) introduced the Gambling Functional Assessment (GFA), which attempts to identify the consequences that may be maintaining a person’s gambling behavior. The present study had 949 introductory psychology students complete the GFA, with 124 of them completing the measure a second time 12 weeks later. Measures of internal consistency were quite good regardless of whether “non-gamblers” were included or excluded. Test–retest reliability was somewhat mixed, with Escape scores yielding substandard coefficients, especially among females. Both internal and test–retest reliability were typically poorer for female respondents. In general, the GFA performed within the limits of acceptable reliability, and coefficients compared favorably with similar measures. Future investigations will need to determine the reliability and validity of the instrument, especially as it pertains to its intended population, pathological gamblers.     

Validity and reliability of the Italian Gambling Functional Assessment–Revised

Problem gambling is a growing phenomenon in Italy, and there is increasing interest in studying the reasons for gambling in the Italian community. The Gambling Functional Assessment–Revised (GFA-R) was developed to assess two contingencies maintaining gambling behaviour: positive reinforcement and escape. The study hypothesized that the GFA-R could be translated and adopted in the Italian context. The main purpose of this study was to test the factor structure of the Italian version of the GFA-R by means of confirmatory factor analysis, its internal consistency and validity, in a sample of 667 Italian-speaking adults, recruited at universities, banks, of?ces, industries, markets, public parks and shops in five regions: Piemonte, Veneto, Lazio, Calabria and Puglia. The study found that the scale was internally consistent, and results showed that the original two-factor model fitted the data well. It also found moderate correlations between the GFA-R-I and both SOGS scores and GRCS scores. These results will allow Italian psychologists, educators and policymakers to identify specific contingencies maintaining gambling behaviour (positive reinforcement vs. escape) in the Italian community, detecting people more at risk of developing disordered gambling, with significant improvements in terms of prevention and clinical intervention.     

Problem and Probable Pathological Gambling Among Older Adults Assessed by the SOGS-R

This study had three main objectives: to examine the prevalence of gambling and problem gambling among older adults, to examine the socio-demographic and gambling patterns of people with various South Oaks Gambling Screen Revised (SOGS-R) scores, and to examine endorsement of the SOGS-R items. The data were drawn from telephone interviews conducted with a sample of 1000 older adults, 60 years and older, throughout the province of Manitoba. Problem gambling was determined from scores on the SOGS-R (Lesieur, H., & Blume, S. (1987). American Journal of Psychiatry, 144, 1184–1188; Lesieur, H., & Blume, S. (1993). Journal of Gambling Studies, 9, 213–219). The results showed gambling to be a fairly common activity among older adults, with 74.7% of participants having gambled in the year prior to the study. Of the total sample, 1.6% were gambling at problem levels, and a further 1.2% were gambling at probable pathological levels in the past year. Inspection of gambling patterns by SOGS-R score failed to reveal a clear and consistent distinction between problem gambling and probable pathological gambling. Finally, examination of item distribution revealed consistent trends of both over and under endorsement of certain items. These results suggest the need for either refinement of the SOGS-R for use with older adults, or the development of a new measure specific to older adults.     

The Development of a Multi-dimensional Gambling Accessibility Scale

The aim of the current study was to develop a scale of gambling accessibility that would have theoretical significance to exposure theory and also serve to highlight the accessibility risk factors for problem gambling. Scale items were generated from the Productivity Commission’s (Australia’s Gambling Industries: Report No. 10. AusInfo, Canberra, 1999) recommendations and tested on a group with high exposure to the gambling environment. In total, 533 gaming venue employees (aged 18–70 years; 67% women) completed a questionnaire that included six 13-item scales measuring accessibility across a range of gambling forms (gaming machines, keno, casino table games, lotteries, horse and dog racing, sports betting). Also included in the questionnaire was the Problem Gambling Severity Index (PGSI) along with measures of gambling frequency and expenditure. Principal components analysis indicated that a common three factor structure existed across all forms of gambling and these were labelled social accessibility, physical accessibility and cognitive accessibility. However, convergent validity was not demonstrated with inconsistent correlations between each subscale and measures of gambling behaviour. These results are discussed in light of exposure theory and the further development of a multi-dimensional measure of gambling accessibility.     

Development and Psychometric Evaluation of a 10-Item Short Form Inventory of Gambling Situations

The Inventory of Gambling Situations (IGS-63; Turner and Littman-Sharp, Inventory of gambling situations users guide, 2006) is a 63-item measure of high-risk gambling situations. It assesses gambling across 10 situational subscales that load onto two higher-order factors: negative and positive situations (Stewart et al. Psychology of Addictive Behaviors, 22:257–268, 2008). While the IGS-63 has excellent psychometric properties (Littman-Sharp et al., The Inventory of Gambling Situations: Reliability, factor structure, and validity (IGS Technical Manual), in press) its length may preclude its use in time-limited contexts. The purpose of this study was to develop and validate a 10-item short-form of the IGS (IGS-10). Each IGS-10 item reflects one of the ten subscale categories from the IGS-63, with two items from the original subscales included as examples for each IGS-10 item. The IGS-10 was administered to 180 undergraduate gamblers along with the IGS-63 and the Problem Gambling Severity Index (PGSI; Ferris and Wynne, Canadian Problem Gambling Index: Final report, 2001). IGS-10 items showed convergent validity with the corresponding IGS-63 subscales (r’s = .60–.73). Principal components analysis of the IGS-10 revealed two factors: negative (α = .84) and positive (α = .85). PGSI scores correlated significantly with all IGS-10 items (r’s = .33–.58) and with both IGS-10 higher-order subscales (r’s = .66 [negative] and .49 [positive]), supporting the criterion validity of the IGS-10. Since minimal information is lost when using the IGS-10, the short form may prove particularly useful when respondent burden prevents using the full IGS-63.     

Adaptation and validation of the Gambling Motives Questionnaire-Financial (GMQ-F) in a sample of French-speaking gamblers

Previous research has identified specific gambling motives and linked them with both healthy and disordered gambling. The Gambling Motives Questionnaire (GMQ) is currently the most widely used measure for these motives. The present study aimed to offer a French validation of the latest version of this scale, the GMQ-Financial (GMQ-F), which measures four distinct motives (enhancement, social, coping, financial). The French GMQ-F was completed by 278 gamblers from the community and 22 treatment-seeking pathological gamblers, along with scales assessing gambling cognitions, impulsivity, disordered gambling symptoms and psychopathological symptoms. Confirmatory factor analysis supported the expected four-factor model. The GMQ-F subscales have good internal reliability. Validity of the GMQ-F is supported by specific correlations with the other constructs measured. Pathological gamblers differed from gamblers from the community on all but one (social) of the GMQ-F subscales. The French GMQ-F presents good psychometric properties and constitutes a reliable instrument for measuring gambling motives in research and clinical practice.     

Evaluating the Problem Gambling Severity Index

A large, integrated survey data set provided by the Ontario Problem Gambling Centre was used to investigate psychometric properties of the Problem Gambling Severity Index (PGSI). This nine-item self-report instrument was designed to measure a single, problem gambling construct. Unlike its nearest competitor—the South Oaks Gambling Screen (SOGS)—the PGSI was designed specifically for use with a general population rather than in a clinical context. The present analyses demonstrated that the PGSI does assess a single, underlying, factor, but that this is complicated by different, multiple factor structures for respondents with differing levels of problem gambling severity. The PGSI also demonstrated small to moderate correlations with measures of gambling frequency and faulty cognitions. Overall, the PGSI presents a viable alternative to the SOGS for assessing degrees of problem gambling severity in a non-clinical context.