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Adolescent physical activity (PA) is significantly impacted by peer behaviors through peer influence, peer selection, and popularity. However, the scales for these social constructs may not fully capture the detailed social networks and mechanisms responsible for PA behavior changes. This level of detail and granularity can be quantified and analyzed through social network analysis (SNA). To demonstrate the variety, utility, and efficacy of SNA in adolescent PA research, this article aims to provide four case studies on the collection of social network and PA data on ethnically and racially diverse adolescents. Through case studies, this article provides tangible ways in which SNA can be used to evaluate social influences on PA behaviors. Case studies are presented on: (1) Youth Engagement in Sport-an egocentric analysis of middle school youth participation in an experiential sport program with 3- and 6-month follow-ups; (2) Summer care program networks-an egocentric and whole network longitudinal study of adolescents at summer care programs; (3) The Convoy method-a qualitative egocentric discussion activity with adolescents from colonias on the Texas-Mexico border; and (4) A father-focused, family-centered health program-an egocentric experimental analysis of children participating in a health program. Data collection procedures are listed and example surveys are provided. Descriptive analyses are included, as are recommendations on further analysis techniques for each type of network data. Using SNA, researchers can understand social contexts in a more specific manner, better positioning interventions to alter such influences.

Due to the complex nature of single-case experimental design data, numerous effect measures are available to quantify and evaluate the effectiveness of an intervention. An inappropriate choice of the effect measure can result in a misrepresentation of the intervention effectiveness and this can have far-reaching implications for theory, practice, and policymaking. As guidelines for reporting appropriate justification for selecting an effect measure are missing, the first aim is to identify the relevant dimensions for effect measure selection and justification prior to data gathering. The second aim is to use these dimensions to construct a user-friendly flowchart or decision tree guiding applied researchers in this process. The use of the flowchart is illustrated in the context of a preregistered protocol. This is the first study that attempts to propose reporting guidelines to justify the effect measure choice, before collecting the data, to avoid selective reporting of the largest quantifications of an effect. A proper justification, less prone to confirmation bias, and transparent and explicit reporting can enhance the credibility of the single-case design study findings.

People are generally poor reporters of time spent using digital technology. Advancing smartphone features, such as the iOS Screen Time application, allow researchers to obtain more objective measurements of digital technology use. Truth and Bias models were used to test how self-reported social networking site use aligns with device-reported use as recorded by the iOS Screen Time app (N=1585). This study explored use across four major platforms (Facebook, Instagram, Twitter, Snapchat) and examined how individual differences moderate biases in reports. Participants overestimated their use for all platforms at comparable levels. Moderation by individual differences was not consistent. These findings add to the growing call from researchers to utilize assessments other than self-reports in measuring digital technology use.

The current text deals with the assessment of consistency of data features from experimentally similar phases and consistency of effects in single-case experimental designs. Although consistency is frequently mentioned as a critical feature, few quantifications have been proposed so far: namely, under the acronyms CONDAP (consistency of data patterns in similar phases) and CONEFF (consistency of effects). Whereas CONDAP allows assessing the consistency of data patterns, the proposals made here focus on the consistency of data features such as level, trend, and variability, as represented by summary measures (mean, ordinary least squares slope, and standard deviation, respectively). The assessment of consistency of effect is also made in terms of these three data features, while also including the study of the consistency of an immediate effect (if expected). The summary measures are represented as points on a modified Brinley plot and their similarity is assessed via quantifications of distance. Both absolute and relative measures of consistency are proposed: the former expressed in the same measurement units as the outcome variable and the latter as a percentage. Illustrations with real data sets (multiple baseline, ABAB, and alternating treatments designs) show the wide applicability of the proposals. We developed a user-friendly website to offer both the graphical representations and the quantifications.

Numerous measures have been developed for the assessment of interprofessional attitudes, including the Interprofessional Attitudes Scale (IPAS). The purpose of this study was to assess, and contribute to, the validity evidence for the IPAS. The IPAS was used in a three-year longitudinal study to collect data from first year health professionals. Three forms of assessment were conducted to accrue validity evidence for the IPAS: Exploratory Factor Analysis, Item Analysis, and analysis using Item Response Theory. Data was collected from 337 participants over three years. Separately, and cumulatively, the Exploratory Factor Analysis, Item Analysis and analysis using Item Response Theory identified issues with the content, response process, internal structure, and consequential validity of the IPAS. The outcomes of the present study call into question the use of the IPAS, and other measures, for the assessment of interprofessional attitudes. The present study contributes several pieces of evidence to the validity of the IPAS and the reevaluation of the use of attitude assessment in interprofessional education.

Intersectional MAIHDA involves applying multilevel models in order to estimate intercategorical inequalities. The approach has been validated thus far using both simulations and empirical applications, and has numerous methodological and theoretical advantages over single-level approaches, including parsimony and reliability for analyzing high-dimensional interactions. In this issue of SSM, Lizotte, Mahendran, Churchill and Bauer (hereafter \"LMCB\") assert that there has been insufficient clarity on the interpretation of fixed effects regression coefficients in intersectional MAIHDA, and that stratum-level residuals in intersectional MAIHDA are not interpretable as interaction effects. We disagree with their second assertion; however, the authors are right to call for greater clarity. For this purpose, in this response we have three main objectives. (1) In their commentary, LMCB incorrectly describe model predictions based on MAIHDA fixed effects as estimates of \"grand means\" (or the mean of means), when they are actually \"precision-weighted grand means.\" We clarify the differences between average predicted values obtained by different models, and argue that predictions obtained by MAIHDA are more suitable to serve as reference points for residual/interaction effects. This further enables us to clarify the interpretation of residual/interaction effects in MAIHDA and conventional models. Using simple simulations, we demonstrate conditions under which the precision-weighted grand mean resembles a grand mean, and when it resembles a population mean (or the mean of all individual observations) obtained using single-level regression, explaining the results obtained by LMCB and informing future research. (2) We construct a modification to MAIHDA that constrains the fixed effects so that the resulting model predictions provide estimates of population means, which we use to demonstrate the robustness of results reported by Evans et al. (2018). We find that stratum-specific residuals obtained using the two approaches are highly correlated (Pearson corr = 0.98, p < 0.0001) and no substantive conclusions would have been affected if the preference had been for estimating population means. However, we advise researchers to use the original, unconstrained MAIHDA. (3) Finally, we outline the extent to which single-level and MAIHDA approaches address the fundamental goals of quantitative intersectional analyses and conclude that intersectional MAIHDA remains a promising new approach for the examination of inequalities.

BACKGROUND: The aims of this pilot study were to observe perceived outcomes of spiritual healing in Germany.
METHODS: In this prospective case study, we performed qualitative interviews with clients and healers about perceived outcomes of spiritual healing treatments. A directed qualitative content analysis was used. In addition, we applied questionnaires (WHOQOL-BREF, General Self-Efficacy Scale, Sense of Coherence 13, SpREUK-15, intensity of complaints on visual analogue scale) at baseline and after week 1, month 2 and month 6 which were analysed descriptively.
RESULTS: Seven healers and 7 clients participated, 42 interviews were analysed. In the interviews, the clients described positive body sensations, greater relaxation and well-being as short-term effects of healing treatments. Perceived longer-term effects were related to making significant life changes, creating new meanings, activating resources and improving social relationships. Patients in pain described a reduction of pain intensity. In the questionnaires, the clients reported improvements in quality of life and self-efficacy, to a smaller extent improvements of intensity of complaints and sense of coherence.
CONCLUSIONS: The results from this pilot study could be useful to choose outcomes of future prospective studies with a larger sample: qualitative assessments combined with global and broad quantitative outcomes such as quality of life, self-efficacy and intensity of complaints could be applied.
Hintergrund: Ziel dieser Pilotstudie war es, subjektiv wahrgenommene Effekte des spirituellen Heilens quali­tativ und quantitativ zu erfassen. Patienten und Metho­den: In dieser prospektiven Pilotstudie wurden über 6 Monate qualitative Interviews mit Klienten und Heilern über wahrgenommene Effekte spiritueller Heilbehandlungen geführt und auf Basis einer qualitativen Inhaltsanalyse ausgewertet. Ergebnisse wurden zusätzlich mit Fragebögen (WHOQOL-BREF, General Self-Efficacy Scale, Sense of Coherence 13, SpREUK-15, Beschwerdeintensität auf visueller Analogskala) zu Studienbeginn und nach der Woche 1, Monat 2 und Monat 6 erfasst. Ergebnisse: Sieben Heiler und 7 Klienten nahmen an dieser Studie teil, 42 ­Interviews wurden analysiert. Klienten beschrieben als kurzfristige Effekte der Heilbehandlungen positive Körperempfindungen, mehr Entspannung und Wohlbefinden. Die längerfristig wahrgenommenen Effekte standen im Zusammenhang mit signifikanten Veränderungen des Lebens, neuen Deutungen, Ressourcenaktivierung und der Verbesserung sozialer Beziehungen durch die Klien­ten. Klienten mit Schmerzen beschrieben eine Verringe­rung der Schmerzintensität. In den Fragebögen zeigten sich Verbesserungen der Lebensqualität und der Selbstwirksamkeit, zu einem geringeren Ausmaß Verbesserungen der Beschwerdeintensität und des Kohärenzgefühls. Schlussfolgerung: Die Ergebnisse dieser Pilotstudie könnten nützlich sein, um Endpunkte für künftige pros­pektive Studien mit einem größeren Stichprobenumfang zu wählen: qualitative Analysen in Kombination mit Fragebögen, die globale und umfassende Aspekte wie Lebensqualität, Selbstwirksamkeit und Intensität der ­Beschwerden erfassen, sind unserer Ansicht nach am besten geeignet.

A number of outcome studies showed that kidney transplantation is associated with improvements in health-related quality of life relative to the pre-transplant period, but comparisons with the general population produced mixed results. This study aimed to compare 30 successful (>1 year) kidney transplantation recipients with 30 matched-pair healthy controls on psychosocial well-being. Independent of gender, age and time since transplantation, transplanted patients equalled healthy people in the intrapersonal domains but scored worse in the interpersonal domains of psychosocial well-being. Identifying aspects of life that remain impaired after kidney transplantation may assist the development of interventions targeted at improving patients\' adjustment.