The COVID-19 pandemic has increased negative emotions and decreased positive emotions globally. Left unchecked, these emotional changes might have a wide array of adverse impacts. To reduce negative emotions and increase positive emotions, we tested the effectiveness of reappraisal, an emotion-regulation strategy that modifies how one thinks about a situation. Participants from 87 countries and regions (n = 21,644) were randomly assigned to one of two brief reappraisal interventions (reconstrual or repurposing) or one of two control conditions (active or passive). Results revealed that both reappraisal interventions (vesus both control conditions) consistently reduced negative emotions and increased positive emotions across different measures. Reconstrual and repurposing interventions had similar effects. Importantly, planned exploratory analyses indicated that reappraisal interventions did not reduce intentions to practice preventive health behaviours. The findings demonstrate the viability of creating scalable, low-cost interventions for use around the world.
Replication studies in psychological science sometimes fail to reproduce prior findings. If these studies use methods that are unfaithful to the original study or ineffective in eliciting the phenomenon of interest, then a failure to replicate may be a failure of the protocol rather than a challenge to the original finding. Formal pre-data-collection peer review by experts may address shortcomings and increase replicability rates. We selected 10 replication studies from the Reproducibility Project: Psychology (RP:P; Open Science Collaboration, 2015) for which the original authors had expressed concerns about the replication designs before data collection; only one of these studies had yielded a statistically significant effect ( p < .05). Commenters suggested that lack of adherence to expert review and low-powered tests were the reasons that most of these RP:P studies failed to replicate the original effects. We revised the replication protocols and received formal peer review prior to conducting new replication studies. We administered the RP:P and revised protocols in multiple laboratories (median number of laboratories per original study = 6.5, range = 3–9; median total sample = 1,279.5, range = 276–3,512) for high-powered tests of each original finding with both protocols. Overall, following the preregistered analysis plan, we found that the revised protocols produced effect sizes similar to those of the RP:P protocols (Δ r = .002 or .014, depending on analytic approach). The median effect size for the revised protocols ( r = .05) was similar to that of the RP:P protocols ( r = .04) and the original RP:P replications ( r = .11), and smaller than that of the original studies ( r = .37). Analysis of the cumulative evidence across the original studies and the corresponding three replication attempts provided very precise estimates of the 10 tested effects and indicated that their effect sizes (median r = .07, range = .00–.15) were 78% smaller, on average, than the original effect sizes (median r = .37, range = .19–.50).
Two experiments explored the levels of text representation that mediate text repetition effects, following the Raney (2003) model. The magnitude of the repetition benefit in Experiment 1 supported predictions of Raney's model, indicating that the ease of forming a situation model contributed to the magnitude of the reprocessing benefit. In addition, representations organized around a good situation model were more sensitive to changes than were representations formed from reading without a good situation model. The results of Experiment 2 did not support the suggestion that the surface form and textbase are bound to a well-developed situation model, thereby limiting repetition effects to similar linguistic contexts. Rather, the nature of the repetition benefits in the present series of experiments are better explained by the degree of overlap between passages at each of the three levels of text representation.
A great deal of research has examined predictors related to the development of reading fluency and reading comprehension. Whilst a number of studies support the relationship between the development of reading fluency and subsequent improvements in reading comprehension, many studies have shown faster and more accurate decoding does not automatically lead to better comprehension. Often overlooked is the role of the text representation that is encoded in memory during reading and its influence on skilled reading comprehension. In this article, the authors review literature that explores the relationship between text representation and fluent reading. Based upon the results of this review, the authors suggest that the type of representation formed during reading is closely related to the development of both skilled reading comprehension and fluent reading.The development of a skilled reader is a remarkable process. Over a relatively short period of time, a reader progresses from labourious word-by-word decoding to quickly and accurately understanding and constructing meaning contained in sentences, paragraphs, and entire passages. There has been considerable research on a number of predictors related to the development of reading comprehension, including phonological awareness, naming speed, and orthographic knowledge. However, the role of the text representation that is encoded in memory during reading and its influence on skilled reading comprehension is often overlooked. In this paper, we make the suggestion that the type of representation formed during reading seems to be closely related to the development of not only skilled reading comprehension, but also the development of reading fluency. To illustrate the relationship between text representation, comprehension and fluency, we start by reviewing literature concerning the kind of text representation laid down in memory. Following this, we explore the relationship between text representation and fluent text processing by outlining a recent model of text representation that can explain seemingly contradictory results. Finally, we review several studies that illustrate that the type of text representation influences both reading fluency and skilled reading comprehension.To understand ideas regarding the nature of text representation, one must flrst understand the text repetition task, which is the procedure used to investigate the nature of text representation. Individuals read a passage and then read a version of that passage again. The measure of interest is known as the repetition effect/ benefit or transfer and is the difference in reading time between the first and second reading. Researchers have consistently found that readers of all ability levels display a repetition effect when reading the same text a second time (see Levy, 1993Levy, , 2001Raney, 2003;Rashotte & Torgesen, 1985, for reviews). Upon rereading, the text is read more fluently (faster and more accurately) with no loss in comprehension. It is well accepted that this effect is attributable to ...
Significance Communicating in ways that motivate engagement in social distancing remains a critical global public health priority during the COVID-19 pandemic. This study tested motivational qualities of messages about social distancing (those that promoted choice and agency vs. those that were forceful and shaming) in 25,718 people in 89 countries. The autonomy-supportive message decreased feelings of defying social distancing recommendations relative to the controlling message, and the controlling message increased controlled motivation, a less effective form of motivation, relative to no message. Message type did not impact intentions to socially distance, but people’s existing motivations were related to intentions. Findings were generalizable across a geographically diverse sample and may inform public health communication strategies in this and future global health emergencies.
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