Individual participant data meta-analysis of the impact of educational interventions on pupils eligible for Free School Meals

Meta-analysis is the synthesis of findings from research projects, which enables an estimate of the average or pooled effect across various studies. This study presents findings from the intention to treat analysis for a series of educational evaluations in England using a two-stage meta-analysis with standardised outcome data and individual participant data meta-analyses. The research estimates the overall impact of educational trials on pupils eligible for Free School Meals (FSM) and the attainment gap in literacy and mathematics performance between FSM and non-FSM pupils based on analysis of 88 trials and data from over half a million pupils. For the meta-analyses, frequentist and Bayesian multilevel models were used to estimate the individual and pooled effect size across categories of explanatory variables such as age groups (key stages in England) and aspects of the type of interventions (one-to-one, small group, whole class). Results indicated that the overall impact of interventions on the literacy outcomes of FSM pupils was positive, with a pooled effect size of 0.06 (0.03, 0.08). However, for mathematics, no overall effect on FSM pupils was observed. Analysis of the attainment gap indicated that literacy outcomes for FSM pupils were improved by interventions marginally more than for non-FSM pupils (pooled attainment gap 0.01 (−0.01, 0.04)). The risk of bias assessment showed that estimates were consistent across different methodological approaches. Overall, evidence from this study can be used to identify, test and scale educational interventions in schools to improve educational outcomes for disadvantaged pupils.     

The Roles of Privacy and Trust in Children's Evaluations and Explanations of Digital Tracking

A “digital revolution” has introduced new privacy violations concerning access to information stored on electronic devices. The present two studies assessed how U.S. children ages 5–17 and adults (N = 416; 55% female; 67% white) evaluated those accessing digital information belonging to someone else, either location data (Study 1) or digital photos (Study 2). The trustworthiness of the tracker (Studies 1 and 2) and the privacy of the information (Study 2) were manipulated. At all ages, evaluations were more negative when the tracker was less trustworthy, and when information was private. However, younger children were substantially more positive overall about digital tracking than older participants. These results, yielding primarily medium-to-large effect sizes, suggest that with age, children increasingly appreciate digital privacy considerations.     

让精神疾病原形毕露

精神疾病难以诊断，但基因检测和脑部成像技术，能够让它原形毕露。     

生命科技的全球观察

生物技术体系的改变，生物药的生产制造，个性化用药、预防医学等将共同形成研发的新驱动力。     

Serial anticipation and pattern extrapolation in rats as a function of element discriminability

In Experiment 1, three groups of rats were trained on one of three serial patterns consisting of different numbers of .045-g food pellets, either the simple strong monotonie pattern 14-7-3-1-0 (Group SM) or one of two complex weak monotonie patterns, 14-5-5-1-0 (Group 5-5) or 14-9-1-1-0 (Group 1-1). Learning to anticipate the terminal 0-pellet element occurred faster in Group 1-1 than in Group SM, which in turn learned faster than Group 5-5. In Experiment 2, Groups SM, 5-5, and 1-1 were trained on the first four elements of the patterns experienced by their Experiment 1 counterparts and then were tested for their ability to extrapolate the series to include the addition of a 0-pellet element in the fifth position. Extrapolation behavior was better in Group 1-1 than in Group SM, which in turn performed better than Group 5-5. The results were shown to be consistent with a memory-discrimination model of serial learning and inconsistent with a rule-learning model based on pattern complexity.