The seven-item GAS is built directly on the components model of addiction, a framework that describes behavioral addictions through core symptoms: salience, mood modification, tolerance, withdrawal, conflict and relapse. Each item on the scale maps onto one of these components, asking respondents how often during the past year they have experienced, for example, preoccupation with gaming, the need to play for increasingly longer periods, or gaming as an escape from negative moods. Because the scale is brief and conceptually anchored, it has become one of the most widely used screening tools for gaming disorder worldwide. Yet psychometric instruments do not automatically travel well across cultures. Translated or adapted questionnaires can behave differently in new linguistic, educational and social contexts, which is why formal validation in each population is considered essential before scores can be interpreted with confidence.

To test whether the scale holds up in Ghana, the research team recruited 814 students from three public universities. The participants had an average age of 20.62 years with a standard deviation of 2.49, placing them squarely in the demographic most associated with intensive digital gaming and smartphone use. Data collection went beyond the GAS itself. Students also completed the Bergen Facebook Addiction Scale, the Smartphone Addiction Scale Short Version, the Brief Resilience Scale, the Schutte Emotional Intelligence Scale and the Depression, Anxiety and Stress Scale. This battery of measures allowed the researchers to examine not only whether the GAS is internally coherent, but also whether its scores correlate with related constructs in theoretically expected ways, a hallmark of a well-behaved psychological instrument.

The statistical analysis proceeded in two stages. Descriptive and reliability computations were performed in the Statistical Package for the Social Sciences, while confirmatory factor analysis was carried out in the AMOS statistical package. Confirmatory factor analysis is a structural equation modeling technique that tests whether a hypothesized latent structure, in this case a single underlying dimension of gaming addiction, adequately explains the pattern of correlations among observed items. The results supported the unidimensional structure of the seven-item GAS, meaning that all seven items tap one common construct rather than fragmenting into separate subdimensions. This finding aligns with the scale’s theoretical foundation and with validation studies conducted in other countries, suggesting that the experience of disordered gaming, as measured by these items, is coherent and unitary among Ghanaian students just as it is elsewhere.

Reliability was assessed with Cronbach’s alpha, the most common index of internal consistency, which estimates how strongly items in a scale covary as a group. The GAS produced an alpha coefficient of 0.85 among the Ghanaian sample, a value conventionally interpreted as good. In practical terms, this means the seven items function together as a dependable set, and that scores derived from them are unlikely to be distorted by random measurement error. For clinicians, counselors and researchers working in Ghanaian universities, this is a crucial assurance: a student’s total score on the scale can be treated as a meaningful indicator of the severity of gaming addiction symptoms rather than statistical noise.

Validity evidence came from a network of correlations with the criterion measures. Using Pearson product-moment correlation coefficients, the researchers found that GAS scores related differently to emotional intelligence, stress, depression, anxiety, resilience, smartphone addiction and Facebook addiction. Positive associations with depression, anxiety, stress, smartphone addiction and Facebook addiction are consistent with the broader literature linking problematic gaming to emotional distress and co-occurring behavioral addictions, providing evidence of concurrent validity. At the same time, the distinct pattern of relationships with resilience and emotional intelligence supported discriminant validity, showing that the scale measures something specific to gaming rather than simply reflecting general negative affect or generic technology overuse. Together, these correlational findings indicate that the GAS behaves in Ghana the way theory says a valid addiction measure should.

Perhaps the most technically demanding part of the study involved tests of measurement invariance. Measurement invariance asks whether an instrument measures the same construct in the same way across different groups, a prerequisite for fair group comparisons. If a scale is not invariant across, say, gender or academic program, then a higher average score in one group might reflect biased measurement rather than genuinely higher levels of the trait. The researchers tested invariance across age groups, university type and program of study, and the instrument demonstrated measurement invariance in all three cases. This means scores from the seven-item GAS can be legitimately compared across younger and older students, across the participating universities, and across different academic programs, opening the door to meaningful subgroup research and institutional monitoring.

The implications extend beyond psychometrics. University counseling centers in Ghana now have a defensible, culturally validated screening tool that takes less than a minute to administer. Given rising smartphone penetration and expanding internet access across West Africa, the population-level exposure to digital games is growing rapidly, and the absence of validated assessment instruments has been a genuine barrier to surveillance, prevention and treatment planning. A reliable seven-item screen makes it feasible to embed gaming addiction monitoring into routine student health surveys, to identify students at risk before problems escalate into academic failure or severe psychological distress, and to evaluate the effectiveness of interventions with a standardized outcome measure.

The study also carries lessons for the international psychology of behavioral addiction. Demonstrating that a unidimensional, component-based addiction scale performs well in a Ghanaian sample adds cross-cultural weight to the components model of addiction and to the construct validity of gaming disorder as defined in contemporary diagnostic frameworks. At the same time, the authors caution that their findings are based on university students at three public institutions, so generalization to adolescents, out-of-school youth or private university populations will require further research. The work was approved by the College of Education Studies Ethical Review Board at the University of Cape Coast, conducted in accordance with the Declaration of Helsinki, and published open access, making the validated instrument immediately available to researchers and practitioners across the region. For a field that has long been dominated by data from high-income countries, this study is a reminder that psychological science is strongest when its measuring sticks are tested everywhere they will be used.

Subject of Research: Psychometric validation of the seven-item Gaming Addiction Scale among Ghanaian university students

Article Title: Psychometric properties of the 7-item game addiction scale among Ghanaian university students

Article References: Miezah, D., Affum-Osei, E., Miezah, K. Y., Ntumi, S., Adu, P., Annor, F., Dziwornu, E., Acquaye, V. A., & Nyaaba, E. (2026). Psychometric properties of the 7-item game addiction scale among Ghanaian university students. Discover Psychology. https://doi.org/10.1007/s44202-026-00872-8

Image Credits: AI Generated

DOI: 10.1007/s44202-026-00872-8

Keywords: video game addiction, Gaming Addiction Scale, psychometric validation, Ghanaian university students, reliability, validity, measurement invariance, confirmatory factor analysis, behavioral addiction, mental health, Psychometric, properties