Using generalized additive (mixed) models to analyze single case designs

This article shows how to apply generalized additive models and generalized additive mixed models to single-case design data. These models excel at detecting the functional form between two variables (often called trend), that is, whether trend exists, and if it does, what its shape is (e.g., linear and nonlinear). In many respects, however, these models are also an ideal vehicle for analyzing single-case designs because they can consider level, trend, variability, overlap, immediacy of effect, and phase consistency that single-case design researchers examine when interpreting a functional relation. We show how these models can be implemented in a wide variety of ways to test whether treatment is effective, whether cases differ from each other, whether treatment effects vary over cases, and whether trend varies over cases. We illustrate diagnostic statistics and graphs, and we discuss overdispersion of data in detail, with examples of quasibinomial models for overdispersed data, including how to compute dispersion and quasi-AIC fit indices in generalized additive models. We show how generalized additive mixed models can be used to estimate autoregressive models and random effects and discuss the limitations of the mixed models compared to generalized additive models. We provide extensive annotated syntax for doing all these analyses in the free computer program R.     

Better than ever? Employee reactions to ethical failures in organizations,and the ethical recovery paradox

This research examines organizational attempts to recover internally from ethical failures witnessed by employees. Drawing on research on service failure recovery, relationship repair, and behavioral ethics, we investigate how witnessing unethical acts in an organization impacts employees and their relationship with their organization. In two studies—one in the lab and one in the field—we examine the extent to which it is possible for organizations to recover fully from these ethical lapses. Results reveal an ethical recovery paradox, in which exemplary organizational efforts to recover internally from ethical failure may enhance employee perceptions of the organization to a more positive level than if no ethical failure had occurred.     

Perceived Risks and Benefits in a Text Message Study of Substance Abuse and Sexual Behavior

To inform ethical procedures for human subjects research using mobile health (mHealth), we examined perceived risks and benefits of study participation among emerging adults (N = 54) with drug use who completed text message assessments of substance use and sexual behaviors. Most participants reported comfort with participation and some reported perceived benefits, such as improved relationships. Perceived risks were infrequently reported, including negative emotions and legal or financial concerns. In conclusion, participants from a vulnerable population reported few perceived harms of participation in longitudinal mHealth assessments of sensitive behaviors. Researchers should continue characterizing participants’ perspectives on ethical aspects of mHealth research.     

Ethics and Confidentiality for Psychologists in Academic Health Centers

Psychologists in academic health centers (AHC) face important ethical issues including confidentiality when working with a multidisciplinary team, sharing of information through the electronic health record, obtaining informed consent in a fast-paced healthcare environment, cultural competency in the medical setting, and issues related to supervision and training. The goal of this paper is to describe ethical issues for psychologists in AHCs in the context of case examples, and to consider ethical decision-making tools to enhance clinical care. Considerations for best practices in integrated care settings will be discussed, and the APA Ethical Standards will be referenced throughout.