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Ann-Kristin Beyer, Maja Wiest and Susanne Wurm

. In a second step, we added the perceived residual lifetime and the interaction term SPA × perceived residual lifetime to the previous models, to test the moderation hypothesis using latent variable interaction models ( Maslowsky, Jager, & Hemken, 2015 ). These models were estimated with the XWITH

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Rajni Rai, Michelle I. Jongenelis, Ben Jackson, Robert U. Newton and Simone Pettigrew

( Barnett et al., 2017 ). It appears that no study to date has examined potential mediators of the environment–physical activity association in older adults. In response to Spence and Lee’s ( 2003 ) call for the application of ecological models that include both moderation and mediation effects, and to

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Robert C. Hilliard, Lorenzo A. Redmond and Jack C. Watson II

Heath et al. ( 2018 )’s sample ( M  = 2.91), so it is unclear why self-compassion did not moderate in this sample. A possible explanation for the lack of moderation through self-compassion could be a result of the sample statistics. Self-stigma had a relatively restricted range of scores, which may have

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Nathanial J. Kapsal, Theresa Dicke, Alexandre J.S. Morin, Diego Vasconcellos, Christophe Maïano, Jane Lee and Chris Lonsdale

-level, random effects model. Moderation Analyses Participant Characteristics Participants’ age was a significant moderator ( P  = .02, 3.9% between-study variance) for physical health outcomes, with children ( g  = 0.982, P  < .001) showing a larger effect size than adolescents ( g  = 0.681, P  < .001

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Avelina C. Padin, Charles F. Emery, Michael Vasey and Janice K. Kiecolt-Glaser

(inhibitory control, activation control, and attentional control). Implicit attitudes and effortful control data were standardized in moderation analyses to meaningfully interpret any interactions. Assumptions of linear regression were tested for each model and indicated that all regression assumptions were

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Freja Gheysen, Karel Herman and Delfien Van Dyck

.e., global) cognitive functioning. All composite scores (of the five separate tests and the overall cognitive functioning) were then recoded into dummy variables (based on the median values) for the moderation analyses (0 =  low cognitive functioning and 1 =  high cognitive functioning ). Statistical Analyses The

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Colleen McConnell, Alyssa McPherson and Kathleen Woolf

was assessed using the Healthy Eating Index (HEI) 2010, which measures dietary intake of 12 components in conformance to dietary guidelines in the United States ( U.S. Department of Agriculture, n.d. ). Components are split into adequacy and moderation ( Guenther et al., 2014 ; U.S. Department of

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Laura A. Dwyer, Minal Patel, Linda C. Nebeling and April Y. Oh

interactions in prior research, the moderation analyses were exploratory. Methods FLASHE Study FLASHE is a cross-sectional US panel study consisting of 2 internet surveys (a PA-focused survey and a diet-focused survey) administered to dyads of parents and their adolescent child between April and October 2014

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Ines Pfeffer and Tilo Strobach

-signal delay; NCS = number of correctly reported sequences; ACIM = amount of correct indications of stimulus matches; SC = self-control. * p  < .10. ** p  < .05. *** p  < .01. Moderation Analysis Moderation analysis was conducted forming high, average, and low executive function groups and testing the

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Richard E. Tahtinen and Hafrun Kristjansdottir

original analyzes are reported. To explore the moderation effect of gender and athlete status on the relationship between symptoms and help-seeking intentions, participants were categorized based on their clinically relevant symptoms; no clinically elevated symptoms, anxiety only, depression only, and