Editorial mar caribe
Open Science in Latin America and the Caribbean
Colonia del Sacramento – Buenos Aires – Santiago de Chile – Lima – Ciudad de México – Maceió
Scientific research always uses statistics, whether to obtain quantitative or qualitative information, statistics verify individual values in a diverse population; this book emphasises two stages: statistics of inference or description, and statistics of induction or statistical connections, and thus interpret the ordering of data to verify trends, while logical statistics analyse differences in the population or sample and predict possible events. The research objective is to conceptualise descriptive and inferential statistical methods, through hypothesis testing, confidence intervals, probabilities, among others, not only to summarise and describe observed data, but to make predictions and decisions based on these data.
DOI: 10.17613/0w267-dwd50
PCA seeks to reduce the dimensionality of a data set without losing a significant amount of information. This is achieved by transforming a set of original variables, which may be numerous and correlated, into a smaller set of uncorrelated variables, called principal components. Each principal component is a linear combination of the original variables and is ordered such that the first component captures most of the variance in the data, the second component captures the second largest variance, and so on. This dimensionality reduction is crucial as it facilitates data visualisation, improves the efficiency of other statistical analyses and helps to avoid overfitting problems in predictive models.
DOI: 10.17613/mevfc-01495
The theoretical underpinnings of Bloom’s taxonomy are found in the fields of developmental, cognitive and educational psychology. This framework provides educators with a valuable tool for designing effective instructional strategies, promoting higher-order thinking skills, and assessing student learning outcomes. By understanding the underlying theories and concepts that inform Bloom’s taxonomy, educators can better use this framework to support student learning and achievement. At its core, Bloom’s taxonomy is based on the idea that learning is a progressive process, with each level building on the one before it.
Open Science in Latin America and the Caribbean
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