=LDR 08156nam 22004692 4500 =001 275e643e-6820-4e0c-9caa-79d4f002f98f =006 m\\\\\o\\d\\\\\\\\ =007 cr\\n\\\\\\\\\ =008 250424t20252025\\\\\\\\ob\\\\000\0\eng\d =020 \\$a9789915698014$q(PDF) =020 \\$a9789915698014$q(HTML) =020 \\$a9789915698014$q(XML) =024 7\$a10.70288/emc.9789915698014$2doi =040 \\$aUkCbTOM$beng$elocal =072 7$aSCI000000$2bisacsh =072 7$aPDM$2thema =100 1\$aDelgado Baltazar, Marisol Paola,$eauthor.$uNational University of Callao.$0(orcid)0000000202789557$1https://orcid.org/0000-0002-0278-9557 =245 10$aScientific research methodology: Applications in the exact sciences /$cMarisol Paola Delgado Baltazar, Ruben Dario Mendoza Arenas, Josefina Arimatea García Cruz, Mónica Beatriz La Chira Loli, Ana María Holgado Quispe, José Ricardo Rasilla Rovegno, Ysabel Emilia Delgado Torres. =264 \1$aColonia del Sacramento, Uruguay :$bEditorial Mar Caribe,$c2025. =264 \4$c©2025 =300 \\$a1 online resource (118 pages). =336 \\$atext$btxt$2rdacontent =337 \\$acomputer$bc$2rdamedia =338 \\$aonline resource$bcr$2rdacarrier =500 \\$aAvailable through Editorial Mar Caribe. =504 \\$aIncludes bibliography (pages 114-117). =505 0\$aIntroduction6Chapter I8Hypothetico-Deductive Method: Its Impact and Applications in the Exact Sciences81.1 Construction of the object of study, research design, discussion and presentation of results in the exact sciences131.1.1 Types of Research Designs in Exact Sciences161.1.2 Discussion and Presentation of Results171.2 Karl Popper's Hypothetical Deductive Method: Foundations, Applications, and Critiques in the Philosophy of Science191.2.1 Critiques and Limitations of the Method231.3 Herder's Falsificationism: Applications in Factual Science261.3.1 Practical Applications in Various Scientific Fields29Chapter II32Scientific method in the exact sciences322.1 Unveiling Hegel's Scientific Method: Principles, Applications, and Legacy362.1.1 Fundamental Principles of Hegel's Method362.1.2 Critiques and Legacy of Hegel's Method402.2 Kurt Gödel's scientific method: Logic and incompleteness theorems422.2.1 Gödel's Impact on Philosophy and Computer Science452.3 Robert Hooke: A Cornerstone of Modern Science482.3.1 Impact of Hooke's Work on Modern Scientific Methods512.4 Causality in Science: A Comprehensive Exploration522.4.1 Historical Context of Causality in Scientific Inquiry532.4.2 Ethical Considerations in Causal Research57Chapter III59Inductive reasoning in the exact sciences593.1 Teaching-learning of inductive reasoning643.2 Francis Bacon's inductive method683.4 Exploring the Inductive Method: Its Character and Impact Across Physics, Mathematics, and Chemistry743.5 Comte's positivism and its application in exact sciences793.5.1 Core Principles of Comte's Positivism803.5.2 The Character of Empiricism in Positivism81Chapter IV85Neopositivism or logical empiricism: Analyze, quantify and predict854.1 Critiques and Limitations of Neopositivism884.2 The Foundations of Positivism: Feuerbach's Insight into the Exact Sciences914.2.1 Contemporary Relevance of Feuerbach's Positivism944.2.2 The Lasting Impact of Positivist Research964.3 Positivist research in the exact sciences974.3.1 Challenges in Practical Implementation1014.4 Mario Bunge's conception of scientific rationality1024.4.1 Fundamentals of Scientific Rationality1034.4.2 Bunge's Methodology in Science1044.5 Mathematical Research Methodology107Conclusion112Bibliography114 =506 0\$aOpen Access$fUnrestricted online access$2star =520 \\$aApplied research methodology in the exact sciences is essential for translating theoretical knowledge into practical solutions. These methods enable researchers to establish patterns, test hypotheses, and make predictions based on empirical evidence. Statistical analysis is a cornerstone of quantitative research, allowing scientists to interpret numerical data through various methods. Researchers employ descriptive statistics to summarize and describe the characteristics of a dataset, providing insights into measures such as mean, median, mode, variance, and standard deviation. This scientific research background led to the construction of this text based on the hypothetical deductive method. The Hypothetical Deductive Method is a structured approach to experimentation and theory testing that involves the formulation of hypotheses and the deduction of observable implications from these hypotheses. According to Popper, scientific theories cannot be proven definitively; instead, they can only be tentatively corroborated through rigorous testing. In addition, an approach between mathematics and philosophy is explored from Kurt Gödel's point of view and incompleteness theorems transformed the landscape of mathematics and logic and opened new avenues of inquiry across multiple disciplines. They serve as a reminder of the complexities and limitations inherent in the pursuit of knowledge, urging scholars to embrace the nuances and uncertainties that define human viewpoint of truth and proof. Therefore, the objective of the research is to analyze the methodology of applied scientific research in the exact sciences, from the Bunge vision to Hooke, without leaving aside Comte, Hegel and Feuerbach. The scientific method stands as a cornerstone of inquiry in the exact sciences, providing a systematic framework for investigating natural phenomena; is a structured approach that enables scientists to formulate hypotheses, conduct experiments, and analyze results to draw about the world around us. Its importance cannot be overstated; it promotes a disciplined approach to research and fosters an environment of skepticism and verification, which are integral for knowledge advancement.The authors explore through four chapters that mathematics, often regarded as the language of the universe, serves as a foundational pillar across various fields, ranging from natural to social sciences. At the heart of mathematical advancement lies a robust research methodology that guides scholars in their quest for knowledge and prognosis. Mathematical research encompasses the systematic investigation of mathematical concepts, theories, and problems. It involves the formulation of hypotheses, the development of models, and the exploration of new ideas through rigorous reasoning and logical deduction. =538 \\$aMode of access: World Wide Web. =540 \\$aThe text of this book is licensed under a Creative Commons Attribution-NonCommercial 4.0 International license (CC BY-NC 4.0). For more detailed information consult the publisher's website.$uhttps://creativecommons.org/licenses/by-nc/4.0/ =588 0\$aMetadata licensed under CC0 Public Domain Dedication. =700 1\$aMendoza Arenas, Ruben Dario,$eauthor.$uNational University of Callao.$0(orcid)0000000278617946$1https://orcid.org/0000-0002-7861-7946 =700 1\$aGarcía Cruz, Josefina Arimatea,$eauthor.$uNational University of Education Enrique Guzmán y Valle.$0(orcid)000000015363198X$1https://orcid.org/0000-0001-5363-198X =700 1\$aLa Chira Loli, Mónica Beatriz,$eauthor.$uUniversidad Autónoma del Perú.$0(orcid)0000000163871151$1https://orcid.org/0000-0001-6387-1151 =700 1\$aHolgado Quispe, Ana María,$eauthor.$uFederico Villarreal National University.$0(orcid)0000000275109188$1https://orcid.org/0000-0002-7510-9188 =700 1\$aRasilla Rovegno, José Ricardo,$eauthor.$uNational University of Callao.$0(orcid)0009000647471864$1https://orcid.org/0009-0006-4747-1864 =700 1\$aDelgado Torres, Ysabel Emilia,$eauthor.$uUniversidad Inca Garcilaso de la Vega.$0(orcid)0009000608459758$1https://orcid.org/0009-0006-0845-9758 =710 2\$aEditorial Mar Caribe,$epublisher. =856 40$uhttps://doi.org/10.70288/emc.9789915698014$zConnect to e-book =856 42$uhttps://editorialmarcaribe.es/wp-content/uploads/2025/04/Blue-Geometric-Business-Entrepreneurship-Book-Cover-4.png$zConnect to cover image =856 42$uhttps://creativecommons.org/publicdomain/zero/1.0/$zCC0 Metadata License