A Propensity Score Analysis of Homework Adherence-Outcome Relations in Cognitive Behavioral Therapy for Depression

Little is known about whether or not a consistently high level of homework adherence over the course of therapy benefits patients. This question was examined in two samples of patients who were receiving individual Cognitive Behavioral Therapy (CBT) for depression (Ns = 128 [Sequenced Treatment Alternatives to Relieve Depression: STAR-D] and 183 [Continuation Phase Cognitive Therapy Relapse Prevention: C-CT-RP]). Logistic and linear regression and propensity score models were used to identify whether or not clinician assessments of homework adherence differentiated symptom reduction and remission, as assessed by the Hamilton Depression Rating Scale-17 (HDRS-17), the Quick Inventory of Depressive Symptomatology–Self-Reported Scale (QIDS-SR), and the QIDS–Clinician Scale (QIDS-C). CBT-related response and remission were equally likely between both high and low homework adherers in both studies and in all models. But in propensity adjusted models that adjusted for session attendance, for both the STAR-D and C-CT-RP samples, greater homework adherence was significantly associated with greater response and remission from depression in the first and last 8 sessions of CBT. Our results suggest that homework adherence can account for response and remission early and late in treatment, with adequate session attendence.     

Internet and Advertisement

The Internet has revolutionized the way knowledge is currently produced, stored and disseminated. A few finger clicks on a keyboard can save time and many hours of search in libraries or shopping in stores. Online trademarks with an (e-) prefix such as e-library, e-business, e-health etc., are increasingly part of our daily professional vocabularies. However, the Internet has also produced multiple negative side effects, ranging from an unhealthy dependency to a dehumanization of human relationships. Fraudulent, unethical and scam practices are also flourishing through for example misleading online advertising methods. Some social and professional networks gather users’ profiles for selling and advertising purposes, sometimes by making it technically difficult to unsubscribe. Here, I discuss some of these unethical aspects and propose some potential solutions to reduce them.     

Re-Examining the Effect of Top-Down Linguistic Information on Speaker-Voice Discrimination

The current study replicated and extended the results from a study conducted by Narayan, Mak, and Bialystok (2017) that found effects of top-down linguistic information on a speaker discrimination task by examining four conditions: rhymes (day-bay), compounds (day-dream), reverse compounds (dream-day), and unrelated words (day-bee). The original study found that participants were more likely to judge two words to be spoken by the same speaker if the words cohered lexically (created lexical compounds such as day-dream) or were phonologically related (rhymes, such as day-bay), but their study contained two limitations: (a) Same- and different-speaker trials were analyzed separately, which obscures effects of response bias, and (b) cross-gender pairs were used in the different-speaker trials, potentially inflating performance. The current study addresses these limitations by including only within-gender trials and by examining sensitivity and bias using signal detection theory. Our results not only provide support of the original study but also provide clear evidence that listeners are biased to judge two words as being produced by the same person when they share either phonological information (rhymes) or lexical-semantic coherence (compounds). Thus, the current study provides an important modified replication of previous research.