Trait Forgiveness and Dyadic Adjustment Predict Postnatal Depression

The birth of a first child can be stressful on intimate partner relationships and the women having their first child. Conflict can occur, and hurts might be experienced, which could lead to post-partum depression. Thus, capacity for forgiveness with specific hurts might affect post-partum depression. We investigated women having their first child (N?=?52), and examined whether dyadic adjustment, trait forgiveness, and situational forgiving during pregnancy predicted postpartum depression. This study found that marital forgiveness predicted lower levels of depression above and beyond the effects of general dyadic adjustment. Dyadic adjustment and trait forgiveness predicted postpartum depression while situational forgiving was mixed. Postpartum depression researchers are encouraged to consider the inclusion of positive psychology variables, such as forgiveness, in future research studies.     

Bayesian inference for psychology. Part II: Example applications with JASP

Bayesian hypothesis testing presents an attractive alternative to p value hypothesis testing. Part I of this series outlined several advantages of Bayesian hypothesis testing, including the ability to quantify evidence and the ability to monitor and update this evidence as data come in, without the need to know the intention with which the data were collected. Despite these and other practical advantages, Bayesian hypothesis tests are still reported relatively rarely. An important impediment to the widespread adoption of Bayesian tests is arguably the lack of user-friendly software for the run-of-the-mill statistical problems that confront psychologists for the analysis of almost every experiment: the t-test, ANOVA, correlation, regression, and contingency tables. In Part II of this series we introduce JASP (http://www.jasp-stats.org), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems. JASP is based in part on the Bayesian analyses implemented in Morey and Rouder’s BayesFactor package for R. Armed with JASP, the practical advantages of Bayesian hypothesis testing are only a mouse click away.     

A qualitative study of Indian and Indian immigrant adolescents’ perceptions of the factors affecting their engagement and performance in school

Although a growing body of quantitative research has examined the non-cognitive factors affecting the school engagement and performance of adolescents across cultures, there is relatively sparse qualitative research investigating the perceptions of adolescents regarding the factors influencing their engagement and performance in school. This focus group study comprising 32 Indian adolescents from India (mean age = 16.78 years) and 20 Indian immigrant adolescents from Canada (mean age = 17.05 years), therefore, using a self-determination theory perspective, explored the perceptions of Indian and Indian immigrant adolescents about the factors affecting their school engagement and performance in India and Canada, respectively. Thematic analysis of eight focus group discussions suggested that Indian and Indian immigrant adolescents were primarily extrinsically motivated toward school and academics. Further, both the Indian and Indian immigrant adolescents perceived their classroom teachers as controlling rather than autonomy-supportive. Implications of the findings are briefly discussed.     

Predicting children’s liking of school from their peer relationships

Prior studies have established that children’s peer relationships and school adjustment are associated. The main aims of the current study were to test if four measures of peer relationships (Peer Acceptance, Presence/Absence of Best Friend, Number of Friends, and Perceived Peer Support) could predict School Liking concurrently and longitudinally across a 6 month period, and if gender moderated any of those associations. An opportunistic sample of girls and boys (N = 429 at Time 1 and N = 214 at Time 2) was drawn from 10 junior schools in the UK. A short-term longitudinal survey design was employed in which self- and peer-report measures were administered in small groups at Time 1 (November/December) and then again at Time 2 (May/June) of the same academic year. Concurrently, all four peer relationship variables emerged as significant non-unique predictors (i.e. not controlling for variance shared among the predictors) of School Liking; Peer Acceptance and Perceived Peer Support emerged as significant unique predictors (i.e. after controlling for variance shared among the predictors) of School Liking; the set of four peer relationship variables together accounted for a significant amount of variance in School Liking; and gender moderated the association between Peer Acceptance and School Liking. Longitudinally, Peer Acceptance was a significant unique predictor of changes in School Liking. This study adds to the literature by providing evidence of which specific peer relationships predict School Liking, and they support the call for interventions to enhance those relationships.     

Does the name-race implicit association test measure racial prejudice?

Research using the Implicit Association Test (IAT) has shown that names labeled as Caucasian elicit more positive associations than names labeled as non-Caucasian. One interpretation of this result is that the IAT measures latent racial prejudice. An alternative explanation is that the result is due to differences in in-group/out-group membership. In this study, we conducted three different IATs: one with same-race Dutch names versus racially charged Moroccan names; one with same-race Dutch names versus racially neutral Finnish names; and one with Moroccan names versus Finnish names. Results showed equivalent effects for the Dutch-Moroccan and Dutch-Finnish IATs, but no effect for the Finnish-Moroccan IAT. This suggests that the name-race IAT-effect is not due to racial prejudice. A diffusion model decomposition indicated that the IAT-effects were caused by changes in speed of information accumulation, response conservativeness, and non-decision time.     

Marijuana effects on human forgetting functions

It has long been known that acute marijuana administration impairs working memory (e.g., the discrimination of stimuli separated by a delay). The determination of which of the individual components of memory are altered by marijuana is an unresolved problem. Previous human studies did not use test protocols that allowed for the determination of delay-independent (initial discrimination) from delay-dependent (forgetting or retrieval) components of memory. Using methods developed in the experimental analysis of behavior and signal detection theory, we tested the acute effects of smoked marijuana on forgetting functions in 5 humans. Immediately after smoking placebo, a low dose, or a high dose of marijuana (varying in delta9-THC content), subjects completed delayed match-to-sample testing that included a range of retention intervals within each test session (0.5, 4, 12, and 24 s). Performances (discriminability) at each dose were plotted as forgetting functions, as described and developed by White and colleagues (White, 1985; White & Ruske, 2002). For all 5 subjects, both delta9-THC doses impaired delay-dependent discrimination but not delay-independent discrimination. The outcome is consistent with current nonhuman studies examining the role of the cannabinoid system on delayed matching procedures, and the data help illuminate one behavioral mechanism through which marijuana alters memory performance.     

What to say to a skeptical metaphysician: a defense manual for cognitive and behavioral scientists

A wave of recent work in metaphysics seeks to undermine the anti-reductionist, functionalist consensus of the past few decades in cognitive science and philosophy of mind. That consensus apparently legitimated a focus on what systems do, without necessarily and always requiring attention to the details of how systems are constituted. The new metaphysical challenge contends that many states and processes referred to by functionalist cognitive scientists are epiphenomenal. It further contends that the problem lies in functionalism itself, and that, to save the causal significance of mind, it is necessary to re-embrace reductionism. We argue that the prescribed return to reductionism would be disastrous for the cognitive and behavioral sciences, requiring the dismantling of most existing achievements and placing intolerable restrictions on further work. However, this argument fails to answer the metaphysical challenge on its own terms. We meet that challenge by going on to argue that the new metaphysical skepticism about functionalist cognitive science depends on reifying two distinct notions of causality (one primarily scientific, the other metaphysical), then equivocating between them. When the different notions of causality are properly distinguished, it is clear that functionalism is in no serious philosophical trouble, and that we need not choose between reducing minds or finding them causally impotent. The metaphysical challenge to functionalism relies, in particular, on a na?ve and inaccurate conception of the practice of physics, and the relationship between physics and metaphysics.     

Identifying predictors of treatment response

This article provides a rationale for considering predictors of growth in a treatment group as inadequate to identifying predictors of treatment response. When we interpret predictors of growth in a treatment group as synonymous with predictors of treatment response, we implicitly attribute all of the treated children's growth to the treatment, an untenable assumption under most conditions. We also contend that the use of standard scores in predictors of growth studies does not allow us to differentiate growth from treatment, from growth from other factors. We present two research methodologies that are appropriate methods of identifying predictors of treatment response: (a) single-subject experimental logic utilized to identify the specific participants in which treatment responses (not just growth) were found, combined with follow-up group comparison logic to identify the characteristics on which responders and nonresponders differ, and (b) statistical interactions among child/family/context characteristics and randomly assigned group membership. Principles for selecting potential predictors of treatment response are provided.     

Frontolimbic response to negative feedback in clinical depression

Functional neuroimaging suggests that limbic regions of the medial frontal cortex may be abnormally active in individuals with depression. These regions, including the anterior cingulate cortex, are engaged in both action regulation, such as monitoring errors and conflict, and affect regulation, such as responding to pain. The authors examined whether clinically depressed subjects would show abnormal sensitivity of frontolimbic networks as they evaluated negative feedback. Depressed subjects and matched control subjects performed a video game in the laboratory as a 256-channel EEG was recorded. Speed of performance on each trial was graded with a feedback signal of A, C, or F. By 350 ms after the feedback signal, depressed subjects showed a larger medial frontal negativity for all feedback compared with control subjects with a particularly striking response to the F grade. This response was strongest for moderately depressed subjects and was attenuated for subjects who were more severely depressed. Localization analyses suggested that negative feedback engaged sources in the anterior cingulate and insular cortices. These results suggest that moderate depression may sensitize limbic networks to respond strongly to aversive events.     

Synaptogenesis and heritable aspects of executive attention

In humans, changes in brain structure and function can be measured non-invasively during postnatal development. In animals, advanced optical imaging measures can track the formation of synapses during learning and behavior. With the recent progress in these technologies, it is appropriate to begin to assess how the physiological processes of synapse, circuit, and neural network formation relate to the process of cognitive development. Of particular interest is the development of executive function, which develops more gradually in humans. One approach that has shown promise is molecular genetics. The completion of the human genome project and the human genome diversity project make it straightforward to ask whether variation in a particular gene correlates with variation in behavior, brain structure, brain activity, or all of the above. Strategies that unify the wealth of biochemical knowledge pertaining to synapse formation with the functional measures of brain structure and activity may lead to new insights in developmental cognitive psychology.