A Paradigm for Understanding Adolescent Social Anxiety with Unfamiliar Peers: Conceptual Foundations and Directions for Future Research

Cannon, Christopher J; Makol, Bridget A.; Keeley, Lauren M.; Qasmieh, Noor; Okuno, Hide; Racz, Sarah J.; Reyes, Andres De Los

doi:10.1007/s10567-020-00314-4

Cited by 31 publications

(24 citation statements)

References 92 publications

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“…These confederates were undergraduate and post-baccalaureate personnel who we trained to simulate unfamiliar, sameage peers. Consistent with prior work (Deros et al, 2018;Cannon et al, 2020), we only leveraged the assistance of personnel who appeared youthful and could reasonably appear to adolescents as same-age, unfamiliar peers (e.g., wearing age-appropriate casual clothing, no facial hair for male confederates). Yet, peer confederates were a different age relative to our study participants.…”

Section: Limitationsmentioning

confidence: 96%

“…The tasks included a series of structured, dyadic role-plays between adolescents and peer confederates (i.e., Simulated Social Interaction Test [SSIT]), an unstructured dyadic conversation between adolescents and peer confederates designed to simulate the first day of class (i.e., Unstructured Conversation Task [UCT]), and a public speaking task in which adolescents spoke about a series of predetermined social issues (i.e., Impromptu Speech Task [IST]). Each of these tasks have been described at length in prior published work (e.g., Deros et al, 2018;Glenn et al, 2019;Makol et al, 2020), and Cannon et al (2020) provided an overview of the overall paradigm and empirical 10.3389/fpsyg.2022.911629 support for its use. Additionally, scripted procedures for the Unfamiliar Peer Paradigm's tasks exist on the Open Science Framework Platform (De Los Reyes, 2020).…”

Section: Instruments Unfamiliar Peer Paradigmmentioning

confidence: 99%

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Integrating multi-informant reports of youth mental health: A construct validation test of Kraemer and colleagues’ (2003) Satellite Model

et al. 2022

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Accurately assessing youth mental health involves obtaining reports from multiple informants who typically display low levels of correspondence. This low correspondence may reflect situational specificity. That is, youth vary as to where they display mental health concerns and informants vary as to where and from what perspective they observe youth. Despite the frequent need to understand and interpret these informant discrepancies, no consensus guidelines exist for integrating informants’ reports. The path to building these guidelines starts with identifying factors that reliably predict the level and form of these informant discrepancies, and do so for theoretically and empirically relevant reasons. Yet, despite the knowledge of situational specificity, few approaches to integrating multi-informant data are well-equipped to account for these factors in measurement, and those that claim to be well-positioned to do so have undergone little empirical scrutiny. One promising approach was developed roughly 20 years ago by Kraemer and colleagues (2003). Their Satellite Model leverages principal components analysis (PCA) and strategic selection of informants to instantiate situational specificity in measurement, namely components reflecting variance attributable to the context in which informants observe behavior (e.g., home/non-home), the perspective from which they observe behavior (e.g., self/other), and behavior that manifests across contexts and perspectives (i.e., trait). The current study represents the first construct validation test of the Satellite Model. A mixed-clinical/community sample of 134 adolescents and their parents completed six parallel surveys of adolescent mental health. Adolescents also participated in a series of simulated social interactions with research personnel trained to act as same-age, unfamiliar peers. A third informant (unfamiliar untrained observer) viewed these interactions and completed the same surveys as parents and adolescents. We applied the Satellite Model to each set of surveys and observed high internal consistency estimates for each of the six-item trait (α = 0.90), context (α = 0.84), and perspective (α = 0.83) components. Scores reflecting the trait, context, and perspective components displayed distinct patterns of relations to a battery of criterion variables that varied in the context, perspective, and source of measurement. The Satellite Model instantiates situational specificity in measurement and facilitates unifying conceptual and measurement models of youth mental health.

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Section: Limitationsmentioning

confidence: 96%

Section: Instruments Unfamiliar Peer Paradigmmentioning

confidence: 99%

Integrating multi-informant reports of youth mental health: A construct validation test of Kraemer and colleagues’ (2003) Satellite Model

et al. 2022

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“…It is noteworthy that the unique variance attributable to each informant is consistently associated with theoretically relevant external criteria above and beyond what is shared across informants and what is unique to other informants. Reports of adolescent social anxiety by youths, parents, and confederates have demonstrated incremental validity above and beyond one another in the statistical prediction of behavioral indicators during social interaction tasks, whether the adolescent received mental health services, clinical severity, and the like (Cannon et al, 2020;Glenn et al, 2019;Makol et al, 2020Makol et al, , 2021. In addition, informant divergence is associated with poorer outcomes for certain domains.…”

Section: Sources Of Variance In Multi-informant Models Of Psychopatho...mentioning

confidence: 99%

How Robust Is the p Factor? Using Multitrait-Multimethod Modeling to Inform the Meaning of General Factors of Youth Psychopathology

Watts

Makol

Palumbo

et al. 2021

Clinical Psychological Science

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We used multitrait-multimethod (MTMM) modeling to examine general factors of psychopathology in three samples of youths ( Ns = 2,119, 303, and 592) for whom three informants reported on the youth’s psychopathology (e.g., child, parent, teacher). Empirical support for the p-factor diminished in multi-informant models compared with mono-informant models: The correlation between externalizing and internalizing factors decreased, and the general factor in bifactor models essentially reflected externalizing. Widely used MTMM-informed approaches for modeling multi-informant data cannot distinguish between competing interpretations of the patterns of effects we observed, including that the p factor reflects, in part, evaluative consistency bias or that psychopathology manifests differently across contexts (e.g., home vs. school). Ultimately, support for the p factor may be stronger in mono-informant designs, although it does not entirely vanish in multi-informant models. Instead, the general factor of psychopathology in any given mono-informant model likely reflects a complex mix of variances, some substantive and some methodological.

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“…While several modified versions of the SAM are available, for purposes of this study, the 9-point SAM emotional valance scale was utilized. Due to its non-verbal nature, the SAM is well established (see Bynion & Feldner, 2017 for a review) and frequently used cross-culturally with both children and adults for research purposes (Greimel et al, 2020;de Tomas et al, 2020;Cannon et al, 2020). Social Media Use Questionnaire.…”

Section: Control Variablesmentioning

confidence: 99%

The other side of the screen: The impact of perspective‐taking on adolescents’ online communication

Bowman-Smith

Sosa‐Hernandez

Nilsen

2021

Journal of Adolescence

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A Paradigm for Understanding Adolescent Social Anxiety with Unfamiliar Peers: Conceptual Foundations and Directions for Future Research

Cited by 31 publications

References 92 publications

Integrating multi-informant reports of youth mental health: A construct validation test of Kraemer and colleagues’ (2003) Satellite Model

Integrating multi-informant reports of youth mental health: A construct validation test of Kraemer and colleagues’ (2003) Satellite Model

How Robust Is the p Factor? Using Multitrait-Multimethod Modeling to Inform the Meaning of General Factors of Youth Psychopathology

The other side of the screen: The impact of perspective‐taking on adolescents’ online communication

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