13,569 research outputs found
Cross-Cultural Meta-Analyses
Get PDFIn the enormous collection of cross-cultural data that have been published during the last few decades it is difficult to perceive patterns. There is a clear need for systematizing the vast amount of cross-cultural studies and for developing models that explain cross-cultural differences in psychology. Two methods of cross-cultural meta-analysis can be distinguished. First, the instrument-based method of comparing data for one instrument across countries is suitable for instruments which have been administered in many countries. Second, a domain-based meta-analysis used a thematic domain from which culture-comparative studies are sampled instead of one specific instrument or method
Analisis Prediksi Okupansi Jumlah Penumpang Kereta Api dengan Metode Support Vector Regression dan Gaussian Process Regression (Studi Kasus: Kereta Api Argo Parahyangan)
Get PDFSVR (support vector regression) dan GPR (gaussian process regression) adalah beberapa metode di dalam pembelajaran mesin yang sering digunakan untuk mengakomodasi masalah regresi. SVR dan GPR memiliki keunggulan dibandingkan menggunakan fungsi regresi biasa. Kedua metode ini merupakan model pembelajaran mesin non-deep learning, dimana model pembelajarannya dibangun dengan menggunakan fungsi matematis. Sebagai studi kasus, di dalam makalah diteliti tentang prediksi okupansi penumpang Kereta Api Argo Parahyangan yang dioperasikan oleh PT Kereta Api Indonesia (Persero) untuk melayani lintas kota Bandung–Gambir dan sebaliknya. Penelitian dilakukan dengan menggunakan data berupa jumlah penumpang per hari selama satu tahun pada kelas ekonomi dan kelas eksekutif Kereta Api Argo Parahyangan. Skenario pengujian dilakukan dengan membandingkan antara rata-rata error kuadratik (RMSE) antara prediksi dan target pelatihan dengan metode SVR dan GPR
Neural Network on Tsunami Waves Prediction Detector Tools Using Tectonic Earthquakes Data
Get PDFOn 26 December 2004, tsunami waves were generated by undersea megathrust earthquakes particularly hit the Banda Aceh-Indonesia, also Thailand, Sri Lanka, India. The effect of tsunami waves can be very damaging to the coastal areas even more to the land around the coast. It is very interesting to study the relation between the magnitude of the undersea earthquakes and the tsunami. Therefore, we construct an early warning system using Neural Network to predict the tsunami using data from Indonesian Meteorology, Climatology, and Geophysical Agency that integrated with a hardware tool. The hardware tools will show the prediction result and send a short message
The demand for alcohol: a meta-analysis of elasticities
Get PDFNumerous studies have estimated elasticities of alcohol demand using different procedures. Because of widespread differences in demand estimates, however, it is difficult to synthesise the literature into coherent meaning. This study improves our understanding of alcohol demand by reporting results from a meta-analysis of 132 studies. Specifically, regressing estimated price, income and advertising elasticities of alcohol on variables accounting for study characteristics, we find alcohol elasticities to be particularly sensitive to demand specification, data issues and various estimation methods. Furthermore, compared to other alcoholic beverages, beer elasticities tend to be more inelastic.alcohol demand, elasticity, meta-analysis, Demand and Price Analysis,
A comparative analysis of the demand for higher education: results from a meta-analysis of elasticities
Get PDFStudies of the demand for higher education have produced numerous estimates of the tuition and income elasticities. Because of widespread variation in the models estimated, this paper performs a meta-analysis of the literature to uncover the extent to which study characteristics influence elasticities. In addition to being more inelastic in the short-run, the results reveal that demand is least responsive to tuition and income in the United States. Also, the measure of quantity and price, coupled with the method of estimation, have important effects on the tuition elasticity. Nonetheless, there are many study characteristics that have little impact on elasticity estimates.
RAMESES publication standards: meta-narrative reviews.
Get PDFBACKGROUND: Meta-narrative review is one of an emerging menu of new approaches to qualitative and mixed-method systematic review. A meta-narrative review seeks to illuminate a heterogeneous topic area by highlighting the contrasting and complementary ways in which researchers have studied the same or a similar topic. No previous publication standards exist for the reporting of meta-narrative reviews. This publication standard was developed as part of the RAMESES (Realist And MEta-narrative Evidence Syntheses: Evolving Standards) project. The project's aim is to produce preliminary publication standards for meta-narrative reviews. METHODS: We (a) collated and summarized existing literature on the principles of good practice in meta-narrative reviews; (b) considered the extent to which these principles had been followed by published reviews, thereby identifying how rigor may be lost and how existing methods could be improved; (c) used a three-round online Delphi method with an interdisciplinary panel of national and international experts in evidence synthesis, meta-narrative reviews, policy and/or publishing to produce and iteratively refine a draft set of methodological steps and publication standards; (d) provided real-time support to ongoing meta-narrative reviews and the open-access RAMESES online discussion list so as to capture problems and questions as they arose; and (e) synthesized expert input, evidence review and real-time problem analysis into a definitive set of standards. RESULTS: We identified nine published meta-narrative reviews, provided real-time support to four ongoing reviews and captured questions raised in the RAMESES discussion list. Through analysis and discussion within the project team, we summarized the published literature, and common questions and challenges into briefing materials for the Delphi panel, comprising 33 members. Within three rounds this panel had reached consensus on 20 key publication standards, with an overall response rate of 90%. CONCLUSION: This project used multiple sources to draw together evidence and expertise in meta-narrative reviews. For each item we have included an explanation for why it is important and guidance on how it might be reported. Meta-narrative review is a relatively new method for evidence synthesis and as experience and methodological developments occur, we anticipate that these standards will evolve to reflect further theoretical and methodological developments. We hope that these standards will act as a resource that will contribute to improving the reporting of meta-narrative reviews
Renminbi misaligned - Results from meta-regressions
Get PDFWe collect data from 29 separate papers estimating the equilibrium level and possible undervaluation of the Chinese currency, the renminbi. These papers yield a total of 97 individual observations on misalignment, which we analyse with the help of meta-analysis. We find that the vast majority of observations point to renminbi undervaluation in recent years and that the undervaluation is more pronounced when the US dollar exchange rate is used instead of the real effective exchange rate. We find several characteristics of papers and authors that clearly seem to influence the reported misalignments. For example, when the author is affiliated with an investment bank, the reported misalignment is smaller. Using time-series techniques also results in lower estimates of undervaluation. On the other hand, refereed journals seemingly are inclined to publish papers that report larger misalignments. Results caution against trusting too much in any one study concerning renminbi undervaluation.equilibrium exchange rate; exchange rate misalignment; meta-analysis; China
Replication Data for: A meta-analytic cognitive framework of nudge and sludge
No full textRaw data and code for the meta-analytic cognitive framework of nudge and sludg
Pickup and delivery problem in the collaborative city courier service by using genetic algorithm and nearest distance
Get PDFOne problem in collaborative pickup delivery problem (PDP) was excessive outsourced jobs. It happened in many studies on the collaborative PDP. Besides, the revenue sharing in it was unclear although important. This work aimed to propose a novel collaborative PDP model which minimizes total travel distance while maintains low outsourced jobs. It proposed several contributions. First, it prioritized internal jobs first rather than full collaborative model. Second, it proposed new revenue sharing model. It adopted cluster-first route-second and mixed pickup and delivery. It was developed by combining the genetic algorithm and nearest distance algorithm where the genetic algorithm was used in the clustering process and the nearest distance was used in the routing process. The simulation result shows that the proposed model was better than the comparing models: (1) combined K-means and genetic algorithm model (KMGA) and (2) combined simulated annealing and last-in first-out (SNLIFO) model. When the number of orders was high (300 units), the total travel distance of the proposed model was 37 percent lower than the KMGA model and 30 percent lower than the SNLIFO model. In average, the outsourcing rate of the proposed model was 70 percent lower than the previous models
Childhood socioeconomic position and objectively measured physical capability levels in adulthood: a systematic review and meta-analysis
Get PDF<p><b>Background:</b> Grip strength, walking speed, chair rising and standing balance time are objective measures of physical capability that characterise current health and predict survival in older populations. Socioeconomic position (SEP) in childhood may influence the peak level of physical capability achieved in early adulthood, thereby affecting levels in later adulthood. We have undertaken a systematic review with meta-analyses to test the hypothesis that adverse childhood SEP is associated with lower levels of objectively measured physical capability in adulthood.</p>
<p><b>Methods and Findings:</b> Relevant studies published by May 2010 were identified through literature searches using EMBASE and MEDLINE. Unpublished results were obtained from study investigators. Results were provided by all study investigators in a standard format and pooled using random-effects meta-analyses. 19 studies were included in the review. Total sample sizes in meta-analyses ranged from N = 17,215 for chair rise time to N = 1,061,855 for grip strength. Although heterogeneity was detected, there was consistent evidence in age adjusted models that lower childhood SEP was associated with modest reductions in physical capability levels in adulthood: comparing the lowest with the highest childhood SEP there was a reduction in grip strength of 0.13 standard deviations (95% CI: 0.06, 0.21), a reduction in mean walking speed of 0.07 m/s (0.05, 0.10), an increase in mean chair rise time of 6% (4%, 8%) and an odds ratio of an inability to balance for 5s of 1.26 (1.02, 1.55). Adjustment for the potential mediating factors, adult SEP and body size attenuated associations greatly. However, despite this attenuation, for walking speed and chair rise time, there was still evidence of moderate associations.</p>
<p><b>Conclusions:</b> Policies targeting socioeconomic inequalities in childhood may have additional benefits in promoting the maintenance of independence in later life.</p>
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