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Meta-analysis is the statistical combination of the results of multiple studies addressing a similar research question. An important part of this method involves computing an effect size across all of the studies; this involves extracting effect sizes and variance measures from various studies.
A metamodel is a model of a model, and metamodeling is the process of generating such metamodels. Thus metamodeling or meta-modeling is the analysis, construction, and development of the frames, rules, constraints, models, and theories applicable and useful for modeling a predefined class of problems. As its name implies, this concept applies ...
Funnel plots, introduced by Light and Pillemer in 1984 [1] and discussed in detail by Matthias Egger and colleagues, [2] [3] are useful adjuncts to meta-analyses. A funnel plot is a scatterplot of treatment effect against a measure of study precision. It is used primarily as a visual aid for detecting bias or systematic heterogeneity.
Meta has invested heavily in its AI efforts, and while they may not have generated as much buzz as OpenAI's ChatGPT, the company claims its new, open-sourced Llama 3 can compete with the best ...
Business metadata is content from the data warehouse described in more user-friendly terms. The business metadata tells you what data you have, where they come from, what they mean and what their relationship is to other data in the data warehouse. Business metadata may also serve as documentation for the DW/BI system.
Multifactor leadership questionnaire. The Multifactor Leadership Questionnaire (MLQ) is a psychological inventory consisting of 36 items pertaining to leadership styles and 9 items pertaining to leadership outcomes. [1] The MLQ was constructed by Bruce J. Avolio and Bernard M. Bass with the goal to assess a full range of leadership styles. [2]
In the global business media, they are described as being the world's most valuable companies as a reference to their market value. [1] Market capitalization is calculated from the share price (as recorded on selected day) multiplied by the number of outstanding shares .
Meta-regression. Meta-regression is defined to be a meta-analysis that uses regression analysis to combine, compare, and synthesize research findings from multiple studies while adjusting for the effects of available covariates on a response variable. A meta-regression analysis aims to reconcile conflicting studies or corroborate consistent ...