Jan 01, 2018 · A conceptual illustration of the proposed model is depicted in Fig. 1. All analyses were conducted using IBM SPSS Statistics version 23. The PROCESS macro (v2.16) was used to conduct the moderation analyses (model 1; Hayes, 2012). Variables were mean centred, heteroscedasticity was controlled for and 1000 samples bias corrected, accelerated ...
Aug 02, 2017 · PART 7: THE POPE AND THE MOTHER Inspired by Pope Francis’s 2015 visit to the United States, a woman pledged to donate one of her kidneys to a needy recipient. By coincidence, the recipient turned out to be a member of her own parish, whom she didn’t know.
Jun 15, 2018 · In this episode Ty Hayes, CMO of Curtin University, 2016 Australian Marketing Institute Award Winner, talks how he is bringing the entire university on the journey to become customer centric. In This Episode. How to adopt a customer first model; Slow-and-steady vs test-and-learn planning; The role of marketing in end-to-end student engagement
PROCESS macro and R package processR. Andrew F. Hayes was not involved in the development of this R package or application and cannot attest to the quality of the computations implemented in the code you are using. Use at your own risk.
Model, Processes and Outcomes Steven C. Hayes, Jason B. Luoma University of Nevada, Reno Frank W. Bond Goldsmith’s College, University of London Akihiko Masuda, and Jason Lillis University of Nevada, Reno Address editorial correspondence to: Steven C. Hayes Department of Psychology University of Nevada Reno, NV 89557-0062
Three groups: 1. voluminous IEEE standard design docs, 2. both (1.) and model dependency descriptors (each design or implementation decision is described by problem/alternatives/solution/ justification and links between specs/design or design/code), 3. no documentation (only source code).
Apr 22, 2013 · convincingly (Bullock, Green,& Ha, 2010), documenting the process by which an effect operates is an important scientiﬁc goal. The simple mediation model, the focus of this paper, is diagrammed in Figure 1(b). This model reﬂects a causal sequence in which X affects Y indirectly through mediator variable M.