Proposing Necessary but Not Sufficient Conditions Analysis as a Complement of Traditional Effect Size Measures with an Illustrative Example.

Even though classic effect size measures (e.g., Pearson's r, Cohen's d) are widely applied in social sciences, the threshold used to interpret them is somewhat arbitrary. This study proposes necessary condition analysis (NCA) to complement traditional methods. We explain NCA in light of the current limitations of classical techniques, highlighting the advantages in terms of interpretation and translation into practical terms and recognizing its weaknesses. To do so, we provide an example by testing the link between three independent variables with a relevant outcome in a sample of 235 subjects. The traditional Pearson's coefficient was obtained, and NCA was used to test if any of the predictors were necessary but not sufficient conditions. Our study also obtains outcome and condition inefficiency as well as NCA bottlenecks. Comparison and interpretation of the traditional and NCA results were made considering recommendations. We suggest that NCA can complement correlation analyses by adding valuable and applicable information, such as if a variable is needed to achieve a certain outcome level and to what degree.

Disordered gaming in esports: Comparing professional and non-professional gamers.

INTRODUCTION: The American Psychiatric Association (APA) proposed 'Internet Gaming Disorder' (IGD) as a tentative disorder (APA framework) in 2013 and in 2019 the World Health Organization (WHO) has fully recognized 'Gaming Disorder' (GD) as a mental health disorder (WHO framework). These two frameworks have not yet been jointly investigated in the context of esports. The present study aims to investigate the feasibility of the APA and WHO frameworks for disordered gaming among professional and non-professional gamers and to ascertain the suitability of existing psychometric tools for use in esports. METHODS: A sample of 5,734 gamers (Mage = 21.47 years, SD = 6.69 years; 6.94% female) recruited through an online survey prior to the COVID-19 pandemic that included an age and gender matched group of professional (n = 2,867) and non-professional gamers (n = 2,867) was investigated. Pairwise comparisons, measurement invariance (MI), and latent mean difference tests were conducted to distinguish the two groups of gamers. RESULTS: Overall, professional gamers showed greater time spent gaming and prevalence of disordered gaming than non-professional gamers. Additionally, MI was supported and both disordered gaming levels and latent means were significantly higher among professional gamers when compared to non-professional gamers across both APA and WHO frameworks. CONCLUSIONS: Esports is cross-sectionally associated with greater disordered gaming vulnerability through increased time spent gaming and disordered gaming prevalence rates. Furthermore, the APA and WHO frameworks are viable in the context of esports gaming with existing assessment tools being effective in the assessment of disordered gaming in esports. The results and implications are further discussed in light of the extant literature.

Psychometric Validation of the Spanish Gaming Disorder Test (GDT): Item Response Theory and Measurement Invariance Analysis.

Gaming Disorder (GD) has been recently added to the eleventh revision of the International Classification of Diseases (ICD-11) by the World Health Organization (WHO), as such, psychometrically sound psychological measures are required to assess this disorder. The objective of this study was to investigate the psychometric properties of the Spanish Gaming Disorder Test (GDT) by assessing its dimensionality, reliability, convergent validity, and associations with other variables of importance through polytomous Item Response Theory (IRT) and Measurement Invariance (MI) analysis across genders. To achieve this, a sample of 538 gamers (42.94% female, meanage = 23.29 years, SD = 7.24) was recruited. The results obtained supported a one-factor structure for the Spanish GDT with adequate reliability and convergent validity. Furthermore, satisfactory goodness of fit in the partial credit model (PCM) with more precise scores at high trait levels to assess GD was found, and strict invariance across genders was supported. These findings attest to the suitability of the Spanish GDT for clinical assessment and research on disordered gaming beyond community samples. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s11469-021-00704-x.

The Spanish Version of the Internet Gaming Disorder Scale-Short Form (IGDS9-SF): Further Examination Using Item Response Theory.

Internet gaming disorder (IGD) has been recognized by the American Psychiatric Association (APA) as a tentative disorder in the latest (fifth) revision of the Diagnostic and Statistical Manual of Mental Disorders (DSM-5). However, psychometric evaluation of the nine IGD criteria remains necessary to further enhance its assessment. Therefore, the objective of this study was to evaluate the psychometric properties of the Spanish version of the Internet Gaming Disorder Scale-Short Form (IGDS9-SF). The internal structure, internal consistency, temporal stability, and relationships with other variables were assessed. Furthermore, a polytomous item response theory (IRT) approach was used to evaluate the performance of each item and the test as a whole. A sample of 388 online gamers (53.61% women, mean age 25.45 years, standard deviation (SD) = 9.62) was recruited for this study. Similar to previous research, the results supported a one-factor structure for the IGDS9-SF, adequate internal consistency and temporal stability of scores, goodness of fit of the items to the graded response model (GRM), and more precise scores at high trait levels to assess IGD in Spanish populations. These findings corroborate the suitability of the Spanish IGDS9-SF for clinical assessment and research within Spanish-speaking populations.