Towards cumulative cognitive science: A comparison of meta-analysis, mega-analysis, and hybrid approaches
There is increasing interest in cumulative approaches to science, in which instead of
analyzing the results of individual papers separately, we integrate information
qualitatively or quantitatively. One such approach is meta-analysis, which has over 50
years of literature supporting its usefulness, and is becoming more common in
cognitive science. However, changes in technical possibilities by the widespread use of
Python and R make it easier to fit more complex models, and even simulate missing
data. Here we recommend the use of mega-analyses (based on the aggregation of
data sets collected by independent researchers) and hybrid meta-mega-analytic
approaches, for cases where raw data is available for some studies. We illustrate the
three approaches using a rich test-retest data set of infants’ speech processing as well
as synthetic data. We discuss advantages and disadvantages of the three approaches
from the viewpoint of a cognitive scientists contemplating their use, and limitations of
this paper, to be addressed in future work.
Use this 2018 Neuroscience Meeting Planner to search all 2018 annual meeting sessions, presentations, and authors. Enter a keyword in the search box and then filter the results by day, theme, or session type or start with the pre-filtered results below.
The concept and aim of evidence-based entrepreneurship (EBE) is discussed as a strategy to overcome the divide between knowledge developed in the field of entrepreneurship and its use in practice. We argue that meta-analyses can and should be used in entrepreneurship research (and that it should also be used for qualitative work).
The paper uses meta-analysis to investigate the evolution of returns to education in Russia during the economic transition. We present the evidence of strong increase in returns to education in the 1990s. The returns to education peaked at 8% per additional year of schooling in the early 2000s. Since the mid-2000s the positive trend has been reversed. We find that the estimated returns are sensitive to sample design, specification and estimation methods. On average the estimated returns are higher if one uses imputed (instead of actual) years of education and estimates earnings equation with the OLS. Among covariates, the form of ownership and settlement type (urban/ rural) has the largest effect on the estimated returns to education. Regional variables have significant impact on the estimated returns only being included into the earnings equation at the oblast (province) level.
This paper explores the relationship between the characteristics of a street protest and its effectiveness. We propose a new approach to solving the problem through the use of a combination of several statistical techniques: the logistic regression models with mixed effects from the Frequentist approach, the hierarchical modeling from the Bayesian approach, the propensity score matching from the Quasiexperimental approach
Abstract The paper presents a meta-analysis of open-label antihypertensive effectiveness studies of indapamide SR (Arifon Retard, Servier Laboratories, France) in hypertensives. 24 Russian (n = 4952) and 4 foreign (n = 4634) studies were included in analysis. Russian studies show that indapamide retard both as a monotherapy and a component of the combination therapy leads to a 17,8/14,0 % decrease of systolic/diastolic blood pressure that is a reduction for 29.2 (95 % CI 28,9–29,5)/12,3 (12,1–12,5) mmHg in patients with uncontrolled hypertension. Baseline blood pressure was the main predictor of its reduction, and the most signifi cant reduction for 32,6 (95 % CI 25,5–39,6) mmHg was seen when the average baseline systolic blood pressure exceeded 170 mmHg. Antihypertensive effi cacy of indapamide retard was similar in Russian and foreign studies. However, incidence of therapy-related side effects was higher in Russian studies than in foreign ones (5,9 and 3,3 % respectively, p < 0,001). Therefore, meta-analysis based on the data of open Russian studies confi rms the antihypertensive effectiveness of indapamide retard and demonstrates the comparability of the results to those found in multicenter foreign studies.
In this paper we consider choice problems under the assumption that the preferences of the decision maker are expressed in the form of a parametric partial weak order without assuming the existence of any value function. We investigate both the sensitivity (stability) of each non-dominated solution with respect to the changes of parameters of this order, and the sensitivity of the set of non-dominated solutions as a whole to similar changes. We show that this type of sensitivity analysis can be performed by employing techniques of linear programming.