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1.
Nat Hum Behav ; 2(9): 637-644, 2018 09.
Article in English | MEDLINE | ID: mdl-31346273

ABSTRACT

Being able to replicate scientific findings is crucial for scientific progress1-15. We replicate 21 systematically selected experimental studies in the social sciences published in Nature and Science between 2010 and 201516-36. The replications follow analysis plans reviewed by the original authors and pre-registered prior to the replications. The replications are high powered, with sample sizes on average about five times higher than in the original studies. We find a significant effect in the same direction as the original study for 13 (62%) studies, and the effect size of the replications is on average about 50% of the original effect size. Replicability varies between 12 (57%) and 14 (67%) studies for complementary replicability indicators. Consistent with these results, the estimated true-positive rate is 67% in a Bayesian analysis. The relative effect size of true positives is estimated to be 71%, suggesting that both false positives and inflated effect sizes of true positives contribute to imperfect reproducibility. Furthermore, we find that peer beliefs of replicability are strongly related to replicability, suggesting that the research community could predict which results would replicate and that failures to replicate were not the result of chance alone.


Subject(s)
Reproducibility of Results , Research/statistics & numerical data , Social Sciences/statistics & numerical data , Bayes Theorem , Humans , Periodicals as Topic/statistics & numerical data , Sample Size , Social Sciences/methods
2.
Science ; 351(6280): 1433-6, 2016 Mar 25.
Article in English | MEDLINE | ID: mdl-26940865

ABSTRACT

The replicability of some scientific findings has recently been called into question. To contribute data about replicability in economics, we replicated 18 studies published in the American Economic Review and the Quarterly Journal of Economics between 2011 and 2014. All of these replications followed predefined analysis plans that were made publicly available beforehand, and they all have a statistical power of at least 90% to detect the original effect size at the 5% significance level. We found a significant effect in the same direction as in the original study for 11 replications (61%); on average, the replicated effect size is 66% of the original. The replicability rate varies between 67% and 78% for four additional replicability indicators, including a prediction market measure of peer beliefs.

3.
Health Inf Manag ; 41(3): 20-6, 2012.
Article in English | MEDLINE | ID: mdl-23087080

ABSTRACT

Good management, supported by accurate, timely and reliable health information, is vital for increasing the effectiveness of Health Information Systems (HIS). When it comes to managing the under-resourced health systems of developing countries, information-based decision making is particularly important. This paper reports findings of a self-report survey that investigated perceptions of local health managers (HMs) of their own regional HIS in Sri Lanka. Data were collected through a validated, pre-tested postal questionnaire, and distributed among a selected group of HMs to elicit their perceptions of the current HIS in relation to information generation, acquisition and use, required reforms to the information system and application of information and communication technology (ICT). Results based on descriptive statistics indicated that the regional HIS was poorly organised and in need of reform; that management support for the system was unsatisfactory in terms of relevance, accuracy, timeliness and accessibility; that political pressure and community and donor requests took precedence over vital health information when management decisions were made; and use of ICT was unsatisfactory. HIS strengths included user-friendly paper formats, a centralised planning system and an efficient disease notification system; weaknesses were lack of comprehensiveness, inaccuracy, and lack of a feedback system. Responses of participants indicated that HIS would be improved by adopting an internationally accepted framework and introducing ICT applications. Perceived barriers to such improvements were high initial cost of educating staff to improve computer literacy, introduction of ICTs, and HIS restructure. We concluded that the regional HIS of Central Province, Sri Lanka had failed to provide much-needed information support to HMs. These findings are consistent with similar research in other developing countries and reinforce the need for further research to verify causes of poor performance and to design strategic reforms to improve HIS in regional Sri Lanka.


Subject(s)
Attitude of Health Personnel , Decision Support Systems, Management/organization & administration , Health Information Management/organization & administration , Health Information Systems/organization & administration , Medical Informatics/organization & administration , Administrative Personnel , Decision Making, Organizational , Decision Support Systems, Management/economics , Decision Support Systems, Management/instrumentation , Decision Support Systems, Management/standards , Developing Countries/economics , Financial Support , Health Information Management/economics , Health Information Management/standards , Health Information Systems/economics , Health Information Systems/standards , Humans , Medical Informatics/economics , Medical Informatics/standards , Needs Assessment , Sri Lanka
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