The Forgotten Ones: Siblings of Substance Abusers

Although factors shaping sibling relationships and the developmental dynamics of such consanguinity have been addressed by various scholars, investigations questioning how the risky behaviors of one sibling, specifically substance abuse, may impact brothers versus sisters are few. The current study explored non–substance-abusing siblings’ reports of their mood, attitudes, feelings of social support, and emotions if one of their brothers or sisters was perceived to be a substance abuser. Surprisingly, 22% of a college-aged convenience sample (N = 312) described one or more of their siblings as a substance abuser and reported being exposed to drugs at an earlier age than their non–substance-abusing counterparts, in addition to other differences. Sisters, more than brothers, were also affected. These exploratory findings, although limited by potential sampling bias, highlight potential areas for future research that could clarify and perhaps improve the experience of the “forgotten” siblings in a risky family constellation.     

Appraising Loftus and Palmer (1974) post-event information versus concurrent commentary in the context of sport

Two experiments were conducted to examine framing effects in sport. In Experiment 1, a conceptual replication [Loftus, E. F., & Palmer, J. C. (1974). Reconstruction of automobile destruction: An example of the interaction between language and memory. Journal of Verbal Learning and Verbal Behavior, 13(5), 585–589], participants watched a hockey collision, with the hit described later in a written format as a “contact”, “bump”, or “smash”. This manipulation resulted in no differences in participants’ report of how fast the players were skating, their intentions, and the outcome of the hit. In Experiment 2, participants watched the same video clip with ongoing commentary. Those who heard the announcer describing the event as “contact” estimated a higher skating speed than participants who were exposed to the “smash” commentary. Participants who were exposed to the “bump” commentary rated the repercussions of the collision as less severe than did those exposed to the other commentaries. These findings show that the perception of magnitude hierarchy may be domain specific and suggest future avenues for exploring framing effects when one is exposed to visual stimuli.     

The impact of L1 structural frequency and cognate status on the timing of L2 production

The present study investigates the impact of first language (L1) structural frequency and L1 lexical accessibility, manipulated via cognate status, on second language (L2) speech production. L1 German–L2 English speakers and L1 English speakers completed a production task containing pre- and post-modified possessive noun phrase (NP) constructions (e.g. The actress’s sofa vs. The sofa of the actress) in which the head nouns were English-German cognates (e.g. sofa) or noncognates. While English prefers pre-modified NPs, German has a strong frequency bias for post-modified NPs. L2 English speakers exhibited higher production accuracy than L1 English speakers on post-modified NP sentences. However, facilitative L1 effects in production latencies were restricted to post-modified NP sentences containing cognates and only developed cumulatively after repeated exposure to post-modified NP sentences. We discuss how cognate status and L1 structural frequency differentially influence the accuracy and timing of choosing between different structural alternatives during L2 production.     

Analysis of categorical moderators in mixed‐effects meta‐analysis: Consequences of using pooled versus separate estimates of the residual between‐studies variances

Subgroup analyses allow us to examine the influence of a categorical moderator on the effect size in meta‐analysis. We conducted a simulation study using a dichotomous moderator, and compared the impact of pooled versus separate estimates of the residual between‐studies variance on the statistical performance of the Q _{B (P)} and Q _{B (S)} tests for subgroup analyses assuming a mixed‐effects model. Our results suggested that similar performance can be expected as long as there are at least 20 studies and these are approximately balanced across categories. Conversely, when subgroups were unbalanced, the practical consequences of having heterogeneous residual between‐studies variances were more evident, with both tests leading to the wrong statistical conclusion more often than in the conditions with balanced subgroups. A pooled estimate should be preferred for most scenarios, unless the residual between‐studies variances are clearly different and there are enough studies in each category to obtain precise separate estimates.     

The effects of colour and valence on news evaluation

Research across different fields of psychology has reported effects of colour cues on a variety of cognitive processes. Especially, the colour red has been shown to have striking influences. In the context of media reception, however, colour effects have been widely neglected so far. This study made a first step in this direction by investigating the effects of the colour red (compared with blue and grey) on the way news articles are evaluated. Two types of news were framed by a coloured border while the valence of the news content additionally varied. Based on 369 participants who read and evaluated the news articles online, we observed effects for colour cues and news valence in the absence of an interaction effect, indicating that the colour red induced approach motivation. However, only the contrast between red and grey reached statistical significance, indicating that chromatic and achromatic colours may differ in their perceived visual saliency. Overall, these results provide an important complement to previous studies and have practical implications for media researchers and producers.     

Experimental Power for Indirect Effects in Group-randomized Studies with Group-level Mediators

Mediation analyses have provided a critical platform to assess the validity of theories of action across a wide range of disciplines. Despite widespread interest and development in these analyses, literature guiding the design of mediation studies has been largely unavailable. Like studies focused on the detection of a total or main effect, an important design consideration is the statistical power to detect indirect effects if they exist. Understanding the sensitivity to detect indirect effects is exceptionally important because it directly influences the scale of data collection and ultimately governs the types of evidence group-randomized studies can bring to bear on theories of action. However, unlike studies concerned with the detection of total effects, literature has not established power formulas for detecting multilevel indirect effects in group-randomized designs. In this study, we develop closed-form expressions to estimate the variance of and the power to detect indirect effects in group-randomized studies with a group-level mediator using two-level linear models (i.e., 2-2-1 mediation). The results suggest that when carefully planned, group-randomized designs may frequently be well positioned to detect mediation effects with typical sample sizes. The resulting power formulas are implemented in the R package PowerUpR and the PowerUp!-Mediator software (causalevaluation.org).     

Contrastive Constraints Guide Explanation‐Based Category Learning

This paper provides evidence for a contrastive account of explanation that is motivated by pragmatic theories that recognize the contribution that context makes to the interpretation of a prompt for explanation. This study replicates the primary findings of previous work in explanation‐based category learning (Williams & Lombrozo, 2010), extending that work by illustrating the critical role of the context in this type of learning. Participants interacted with items from two categories either by describing the items or explaining their category membership. We manipulated the feature overlap between the categories and examined both the explanations generated and acquired knowledge of the categories. Explanations for membership in a given category were influenced by the unprompted contrast category, indicating an important role for contrastive processing in the generation of explanations. The influence of the contrast category was similarly seen in the transfer performance of the participants.     

No blank slates: Pre-existing schemas about pharmaceuticals predict memory for side effects

Objectives: Attribution of symptoms as medication side effects is informed by pre-existing beliefs about medicines and perceptions of personal sensitivity to their effects (pharmaceutical schemas). We tested whether (1) pharmaceutical schemas were associated with memory (recall/recognition) for side effect information (2) memory explained the attribution of a common unrelated symptom as a side effect.

Design: In this analogue study participants saw the patient leaflet of a fictitious asthma drug listing eight side effects.

Main outcome measures: We measured recall and recognition memory for side effects and used a vignette to test whether participants attributed an unlisted common symptom (headache) as a side effect.

Results: Participants who perceived pharmaceuticals as more harmful in general recalled fewer side effects correctly (r_{Correct Recall} = ?.273), were less able to differentiate between listed and unlisted side effects (r_{Recognition Sensitivity} = ?.256) and were more likely to attribute the unlisted headache symptom as a side effect (r_{side effect attribution} = .381, ps < .01). The effect of harm beliefs on side effect attribution was partially mediated by correct recall of side effects.

Conclusion: Pharmaceutical schemas are associated with memory for side effect information. Memory may explain part of the association between pharmaceutical schemas and the attribution of unrelated symptoms as side effects.     

Die‐by Framing both Lengthens and Shortens Life: Further Evidence on Constructed Beliefs in Life Expectancy

Decisions regarding consumption over the lifespan require some estimate of how long that lifespan is likely to be. Payne et al. (2013) found that respondents' estimates of their own life expectancy are on average 8.6 years shorter when elicited using a die‐by frame than when elicited by a live‐to frame. If decision makers act on these life expectancies, then an arbitrary detail of framing will lead to drastically different choices. We propose that the framing effect is sensitive to the iterative probabilistic elicitation procedure employed by the previous literature. Study 1 compares the framing effect across the iterative probabilistic procedure and a point estimate procedure that simply asks respondents the age they will live to/die by. The iterative probabilistic procedure implies a life expectancy six years shorter in the die‐by frame than in the live‐to frame, replicating the results of Payne et al. (2013). With the point estimate procedure, however, the framing effect reverses: the die‐by frame increases life expectancy by three years. In Study 2, we test for the framing effect using a point estimate procedure on a representative sample of 2000 Britons. Again, and in contrast with the previous literature, we find that the die‐by frame implies longer life. Our results reinforce the previous literature that beliefs around life expectancy are constructed. We recommend caution when attempting to debias life expectancy estimates or using life expectancies in choice architecture. Copyright © 2017 John Wiley & Sons, Ltd.