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.     

Brief Behavioral Activation Treatment for Depressed Adolescents Delivered by Nonspecialist Clinicians: A Case Illustration

Behavioral activation (BA) can be as effective as cognitive-behavioral therapy for the treatment of depression in adults, but to date there is little research with adolescents. This is problematic given the recognized need to increase access to evidence-based interventions for depression in young people. We have developed a new adaptation of brief Behavioral Activation (Lejuez, Hopko, Acierno, Daughters, & Pagoto, 2011) specifically for young people: Brief BA for depressed adolescents. In this paper, we use a case example with session-by-session measurement to show how a nonspecialist clinician can deliver this intervention successfully. We discuss the key themes arising from this training case, challenges the clinician faced, and how these were managed through training and supervision.     

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.     

Ethics in Supervision: Consideration of the Supervisory Alliance and Countertransference Management of Psychology Doctoral Students

Clinical supervision provides the foundation for cultivating ethical practice and professionalism for mental health trainees. Exploration and management of a supervisee’s personal reactivity or countertransference (CT) is a critical component of supervision and has clear ethical implications for clinical management and the development of clinical competence. This article discusses supervision practice and presents the results of a study that investigated the influence of supervisor–supervisee relationship on clinical and counseling doctoral students’ CT disclosures. Respondents completed the Working Alliance Inventory–Supervisee form and the Personal Reaction Disclosure Questionnaire, which assessed respondents’ comfort and likelihood of reporting CT reactions to hypothetical clinical interactions. Results of this analogue study demonstrated positive associations between supervisory alliance and reported comfort and likelihood of CT disclosures, highlighting the importance of the alliance and drawing attention to supervisors their responsibility to particularly attend to the bond dimension of the relationship.     

Development switch in neural circuitry underlying odor-malaise learning

Fetal and infant rats can learn to avoid odors paired with illness before development of brain areas supporting this learning in adults, suggesting an alternate learning circuit. Here we begin to document the transition from the infant to adult neural circuit underlying odor-malaise avoidance learning using LiCl (0.3 M; 1% of body weight, ip) and a 30-min peppermint-odor exposure. Conditioning groups included: Paired odor-LiCl, Paired odor-LiCl-Nursing, LiCl, and odor-saline. Results showed that Paired LiCl-odor conditioning induced a learned odor aversion in postnatal day (PN) 7, 12, and 23 pups. Odor-LiCl Paired Nursing induced a learned odor preference in PN7 and PN12 pups but blocked learning in PN23 pups. 14C 2-deoxyglucose (2-DG) autoradiography indicated enhanced olfactory bulb activity in PN7 and PN12 pups with odor preference and avoidance learning. The odor aversion in weanling aged (PN23) pups resulted in enhanced amygdala activity in Paired odor-LiCl pups, but not if they were nursing. Thus, the neural circuit supporting malaise-induced aversions changes over development, indicating that similar infant and adult-learned behaviors may have distinct neural circuits.     

Teaching ethics: More than an honor code

An honor code is certainly a good place to start teaching engineering students about ethics, but teaching students to live honorably requires far more effort than memorizing a code of ethics statement or applying it just to academic performance. In the School of Engineering at Grand Valley State University, we have followed the model provided by the United States Military Academy at West Point. For our students this involves an introduction to the Honor Code as part of a larger Honor Concept at the very beginning of their studies and then making it an integral part of their preparation as engineers. The challenge is significant because the culture at large does not support living with an Honor Concept. This paper will begin with a discussion of the cultural context in which we must teach, because that context has changed significantly in the years since many faculty members were students themselves. The rest of the paper will detail the approach that we have taken to teach ethics as an engineer’s way of life. “The shortest and surest way to live with honor in the world is to be in reality what we would appear to be. All human virtues increase and strengthen themselves by the practice and experience of them.” Plato An earlier version of this paper was presented at the 2005 conference, Ethics and Social Responsibility in Engineering and Technology, Linking Workplace Ethics and Education, co-hosted by Gonzaga University and Loyola Marymount University, Los Angeles, CA, USA, 9–10 June 2005.     

Tendency to catastrophize somatic sensations: pain catastrophizing and anxiety sensitivity in predicting headache

General catastrophic thinking styles about uncomfortable bodily sensations may predispose the development of common health pathologies, such as persistent headache. The purpose of this research was to explore the relationships between the Pain Catastrophizing (PC) Scale and Anxiety Sensitivity (AS) Index, which measure tendencies to catastrophize pain- and anxiety-related somatic sensations, respectively. A non-clinical sample completed the PC Scale, AS Index, and health outcome questionnaires regarding headache (n = 1018). Results revealed that: (i) AS and PC are empirically separate constructs; (ii) the overlap between PC and AS lies within the domain of fearing physical catastrophe; (iii) AS independently predicts weekly headache, headache pain intensity, and the number of a wide range of physical symptoms associated with headache; and (iv) PC independently predicts the presence of weekly headache. Limitations and implications of this research, as well as recommendations for future research directions are discussed.