Halo effects from agency behaviors and communion behaviors depend on social context: Why technicians benefit more from showing tidiness than nurses do

We investigate halo effects from agency behaviors and communion behaviors in different social contexts. According to the salient dimension model, attributes elicit halo effects on the ratings of other, unrelated attributes when they are relevant in a situation. Given that communion behaviors are more relevant in social and care‐related jobs, they should elicit stronger halo effects than agency behaviors in this context. In the context of scientific and technical jobs, this difference should be weakened or even reversed. Three experiments support the predicted interaction of context and behavior on halo effects. This interaction was stronger for negative than for positive behaviors. These results have implications for understanding the basic processes of halo effects as well as their real‐world effects in job‐related contexts.     

The effect of layout and pacing on learning from diagrams with unnecessary text

Although the presentation of extraneous (i.e., irrelevant or unnecessary) information hinders learning, it is unclear whether and how layout and pacing influence this effect. In two experiments, participants learned how the heart functions using four different layouts: a diagram presented without unnecessary text (diagram only), with unnecessary text separated from the diagram (separated) or integrated into the diagram (integrated), or with separated unnecessary text and the instruction to integrate (integration instruction). In Experiment 1, study time was self‐paced for half of the participants and system paced for the other half. There were no effects of layout and of pacing on learning, although system pacing was more effortful than self‐pacing. In Experiment 2, which was system paced and employed eye tracking, the integrated condition showed worse learning outcomes than the separated condition. Moreover, in the integrated condition, participants made more integration attempts between the unnecessary text and the diagram than in the separated condition.     

Working memory capacity and the spacing effect in cued recall

Spacing repetitions typically improves memory (the spacing effect). In three cued recall experiments, we explored the relationship between working memory capacity and the spacing effect. People with higher working memory capacity are more accurate on memory tasks that require retrieval relative to people with lower working memory capacity. The experiments used different retention intervals and lags between repetitions, but were otherwise similar. Working memory capacity and spacing of repetitions both improved memory in most of conditions, but they did not interact, suggesting additive effects. The results are consistent with the ACT-R model’s predictions, and with a study-phase recognition process underpinning the spacing effect in cued recall.     

The testing effect and analogical problem-solving

Researchers generally agree that retrieval practice of previously learned material facilitates subsequent recall of same material, a phenomenon known as the testing effect. There is debate, however, about when such benefits transfer to related (though not identical) material. The current study examines the phenomenon of transfer in the domain of analogical problem-solving. In Experiments 1 and 2, learners were presented a source text describing a problem and solution to read which was subsequently either restudied or recalled. Following a short (Experiment 1) or long (Experiment 2) delay, learners were given a new target text and asked to solve a problem. The two texts shared a common structure such that the provided solution for the source text could be applied to solve the problem in the target text. In a combined analysis of both experiments, learners in the retrieval practice condition were more successful at solving the problem than those in the restudy condition. Experiment 3 explored the degree to which retrieval practice promotes cued versus spontaneous transfer by manipulating whether participants were provided with an explicit hint that the source and target texts were related. Results revealed no effect of retrieval practice.     

The Effect of Transparency on Framing Effects in Within‐Subject Designs

A long‐lasting assumption about the framing effect is that if the participants discover the purpose of the experiment in a within‐subject design, then this test transparency would trigger them to override their initial answer and make coherent choices. For this reason, researchers try to mask the connection between the two parts of the test by inserting filling questions or a time delay between the two parts of the test. In this research, we explored the extent to which these customarily used masking solutions are effective in increasing test sensitivity for the framing effect. In three experiments, we assessed the effect of masking on the tests of the attribute framing and the risky‐choice framing effects. Contradicting the general belief, our results indicate that these effects are already measurable without any masking or delay and we found no convincing evidence that the attempts to decrease task transparency provide worthwhile benefits for general tests of the effect. Beyond their practical relevance, the results question whether the test is a good measure of coherence rationality and better suit those accounts that suggest that the two parts of the framing tasks cannot be regarded as identical. Copyright © 2017 John Wiley & Sons, Ltd.     

Sample size determination for a matched-pairs study with incomplete data using exact approach

This research was motivated by a clinical trial design for a cognitive study. The pilot study was a matched-pairs design where some data are missing, specifically the missing data coming at the end of the study. Existing approaches to determine sample size are all based on asymptotic approaches (e.g., the generalized estimating equation (GEE) approach). When the sample size in a clinical trial is small to medium, these asymptotic approaches may not be appropriate for use due to the unsatisfactory Type I and II error rates. For this reason, we consider the exact unconditional approach to compute the sample size for a matched-pairs study with incomplete data. Recommendations are made for each possible missingness pattern by comparing the exact sample sizes based on three commonly used test statistics, with the existing sample size calculation based on the GEE approach. An example from a real surgeon-reviewers study is used to illustrate the application of the exact sample size calculation in study designs.