Dataset Information

Psychometric properties of the Bergen Social Media Addiction Scale: An analysis using item response theory.

ABSTRACT:

Background

Social media use has become an everyday behavior in contemporary life resulting in increased participation. A minority of individuals, especially younger adults, may engage excessively with the medium, resulting in the emergence of problematic social media use (PSMU). One way of assessing PSMU is by administering the Bergen Social Media Addiction Scale (BSMAS). The present study investigated the psychometric properties and prevalence of the BSMAS using Item Response Theory (IRT). Additionally, it evaluated risk factors such as gender and age.

Methods

A relatively large community sample (N = 968, M_age = 29.5 years, SD = 9.36, 32.5% women) completed the BSMAS online.

Results

IRT analyses showed differences regarding the BSMAS items' discrimination, difficulty, and reliability capacities, with a raw score exceeding 26 (out of 30) indicating a higher risk of PSMU (n = 11; 1.1%). Females and younger participants were at greater risk of developing PSMU.

Conclusion

The BSMAS functions as a reliable measure of PSMU, particularly between average to high levels of the trait. Additionally, younger participants were shown to be at higher risk of PSMU suggesting that prevention and intervention protocols should focus on this group.

SUBMITTER: Zarate D

PROVIDER: S-EPMC9758518 | biostudies-literature | 2023 Jun

REPOSITORIES: biostudies-literature

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Publications

Psychometric properties of the Bergen Social Media Addiction Scale: An analysis using item response theory.

Zarate Daniel D Hobson Ben A BA March Evita E Griffiths Mark D MD Stavropoulos Vasileios V

Addictive behaviors reports 20221206

<h4>Background</h4>Social media use has become an everyday behavior in contemporary life resulting in increased participation. A minority of individuals, especially younger adults, may engage excessively with the medium, resulting in the emergence of problematic social media use (PSMU). One way of assessing PSMU is by administering the Bergen Social Media Addiction Scale (BSMAS). The present study investigated the psychometric properties and prevalence of the BSMAS using Item Response Theory (IR ...[more]

PMID: 36536822

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Project description:BackgroundThe investigation of patient-reported outcomes and psycho-oncological interventions mainly focuses on psychological distress or psychopathology. However, the recognition of the equal importance of positive mental health (PMH) has increased lately. The PMH-scale is a brief questionnaire allowing to assess well-being in individuals in the general population and in patients. Previous studies evaluated the psychometric properties of the PMH-scale using classical test theory (CTT). This study is the first to investigate the PMH-scale in patients with cancer using item analysis according to the Rasch model.MethodsIn total, N = 357 cancer patients participated in the study. A Rasch analysis of the PMH-scale was conducted including testing of unidimensionality, local independence, homogeneity and differential item functioning (DIF) with regard to age, gender, type of cancer, the presence of metastases, psycho-oncological support, and duration of disease. Additionally, the ordering of the item thresholds as well as the targeting of the scale were investigated.ResultsAfter excluding one misfitting item and accounting for local dependence by forming superitems, a satisfactory overall fit to the Rasch model was established (χ2 = 30.34, p = 0.21). The new PMH-8 scale proved to be unidimensional, and homogeneity of the scale could be inferred. All items showed ordered thresholds, there was no further item misfit. DIF was found for age, but as the impact of DIF was not substantial, no adjustment related to the age-DIF had to be made. The Person Separation Index (PSI = 0.89) was excellent, indicating excellent discriminatory power between different levels of positive mental health. Overall, the targeting of the PMH-8 was good for the majority of the present sample. However, at both ends of the scale item thresholds are missing as indicated by a slight floor effect (1.4%) and a considerable ceiling effect (9.8%).ConclusionsOverall, the results of the analysis according to the Rasch model support the use of the revised PMH-scale in a psycho-oncological context.

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Dataset Information

Psychometric properties of the Bergen Social Media Addiction Scale: An analysis using item response theory.

Background

Methods

Results

Conclusion

Publications

Psychometric properties of the Bergen Social Media Addiction Scale: An analysis using item response theory.

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