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The New Science Encyclopedia : Chemistry • Physics • Biology
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Beginning Quantitative Research
This concise text provides a clear and digestible introduction to completing quantitative research.Taking you step-by-step through the process of completing your quantitative research project, it offers guidance on: · Formulating your research question · Completing literature reviews and meta-analysis · Formulating a research design and specifying your target population and data source · Choosing an appropriate method and analysing your findings Part of The SAGE Quantitative Research Kit, this book will give you the know-how and confidence needed to succeed on your quantitative research journey.
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R for Quantitative Chemistry
R for Quantitative Chemistry is an exploration of how the R language can be applied to a wide variety of problems in what is typically termed "Quantitative Chemistry" or sometimes "Analytical Chemistry".Topics include: basic statistics, spectroscopic data, acid base equilibria and titrations, binding curves (of great current interest for biomedical applications), Fourier Transforms, and chemical kinetics and enzyme kinetics.An innovative feature is the discussion (as an alternative to the less stable nls packages) of the simplex adaptation subplex (R package) coupled with Monte Carlo analysis to determine confidence intervals for estimated parameters resulting from least squares optimization.Chemists who are interested in learning R as a research tool as well as Chemists who are teaching Quantitative Chemistry, as well as their students will be interested.This book is useful as most R books approach data analysis from an economic, social, medical, or biological context.Analysis of chemical data draws upon specific numerical models and a different set R programming and packages than is typically discussed in other disciplines.This book will be based upon, in large part, actual experimental data and will include end of chapter questions and projects.Readers are encouraged to email the author at gosserch@gmail.com and to follow the accompanying blog on Medium "R Programming for Quantitative Chemistry".Key Features: Elements of R programming for Chemists Literature Based Examples Includes Binding Assay Analysis Integrates theory, experiment, and R programming
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Quantitative Biology : A Practical Introduction
This textbook is for biologists, to conduct quantitative analysis and modeling of biological processes at molecular and cellular levels. Focusing on practical concepts and techniques for everyday research, this text will enable beginners, both students and established biologists, to take the first step in quantitative biology.It also provides step-by-step tutorials to run various sample programs in one’s personal computer using Excel and Python.This volume traces topics, starting with an introductory chapter, such as modeling, construction and execution of numerical models, and key concepts in quantitative biology: feedback regulations, fluctuations and randomness, and statistical analyses.It also provide sample codes with guidance to procedure programming for actual biological processes such as movement of the nucleus within a cell, cell-cycle regulation, stripe pattern formation of skins, and distribution of energy. Written by a leading research scientistwho has a background in biology, studied quantitative approaches by himself, and teaches quantitative biology at several universities, this textbook broadens quantitative approaches for biologists who do not have a strong background in mathematics, physics, or computer programming, and helps them progress further in their research.
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What is physics as a quantitative science?
Physics as a quantitative science is the study of the natural world through the use of mathematical and numerical analysis. It seeks to understand and describe the fundamental laws and principles that govern the behavior of matter and energy. By using quantitative methods, such as measurements, calculations, and experiments, physicists are able to make precise predictions and test the validity of their theories. This approach allows for the development of mathematical models that can accurately describe and predict the behavior of physical systems.
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What are quantitative considerations in chemistry?
Quantitative considerations in chemistry involve the measurement and calculation of quantities such as mass, volume, concentration, and moles. These measurements are essential for determining the amount of reactants needed, predicting the amount of products formed, and understanding the stoichiometry of chemical reactions. Quantitative analysis also helps in determining the purity of substances, identifying unknown compounds, and evaluating the efficiency of chemical processes. Overall, quantitative considerations play a crucial role in understanding and applying the principles of chemistry in a practical and quantitative manner.
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How can one compare quantitative and qualitative research?
Quantitative research involves collecting and analyzing numerical data to identify patterns and relationships, while qualitative research focuses on understanding the underlying reasons, motivations, and opinions behind those patterns. One can compare quantitative and qualitative research by considering their methods of data collection and analysis. Quantitative research typically uses structured surveys and statistical analysis, while qualitative research relies on interviews, observations, and thematic analysis. Both approaches have their strengths and limitations, and researchers often use a combination of both methods to gain a comprehensive understanding of a research topic.
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Which research method is better suited: quantitative or qualitative?
The choice between quantitative and qualitative research methods depends on the research question and objectives. Quantitative research is better suited for studies that aim to quantify relationships, patterns, or trends, using numerical data and statistical analysis. On the other hand, qualitative research is more appropriate for exploring complex phenomena, understanding experiences, and capturing in-depth insights through interviews, observations, or open-ended surveys. Ultimately, the best method will depend on the specific research goals and the type of data needed to address the research question effectively.
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Plasma Science and Technology : Lectures in Physics, Chemistry, Biology, and Engineering
Plasma Science and Technology An accessible introduction to the fundamentals of plasma science and its applications In Plasma Science and Technology: Lectures in Physics, Chemistry, Biology, and Engineering, distinguished researcher Dr. Alexander Fridman delivers a comprehensive introduction to plasma technology, including fulsome descriptions of the fundamentals of plasmas and discharges.The author discusses a wide variety of practical applications of the technology to medicine, energy, catalysis, coatings, and more, emphasizing engineering and science fundamentals.Offering readers illuminating problems and concept questions to support understanding and self-study, the book also details organic and inorganic applications of plasma technologies, demonstrating its use in nature, in the lab, and in both novel and well-known applications.Readers will also find: A thorough introduction to the kinetics of excited atoms and molecules Comprehensive explorations of non-equilibrium atmospheric pressure cold discharges Practical discussions of plasma processing in microelectronics and other micro-technologies Expert treatments of plasma in environmental control technologies, including the cleaning of air, exhaust gases, water, and soil Perfect for students of chemical engineering, physics, and chemistry, Plasma Science and Technology will also benefit professionals working in these fields who seek a contemporary refresher in the fundamentals of plasma science and its applications.
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Physics in Biology and Medicine
**Selected for Doody’s Core Titles® 2024 in Medical Physics**Physics in Biology and Medicine, Sixth Edition includes new, revised material, and corresponding exercises on many exciting developments in the field.New sections cover biomechanics, biotribology, frictional properties of biological materials, 3-D printing and its use in medicine, new materials in dentistry, microfluidics, bioelectronic medicine, microsensors, and microscopy.This revised edition delivers helpful and engaging additions to the role and importance of physics in biology and medicine, including new coverage on metamaterials, metabolism, and environmental science.It is ideal for courses in biophysics, medical physics, and related subjects.
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The SAGE Quantitative Research Kit
From survey research to multilevel modeling, the books provide clear, concise and digestible explanations of the key theories, methods and techniques relevant to quantitative research today.Curated and written by leading academics in the field, they offer practical, hands-on guidance on how to conduct your research project and make the most out of your findings, in turn giving you the confidence needed to succeed.
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Qualitative Research for Quantitative Researchers
Approaching qualitative research for the first time and unsure how to get started?This book captures what you need to know to jump into effective qualitative or mixed methods research. The book gets you up to speed on the specifics of qualitative research, while showing how it complements quantitative research and how to draw on and hone your existing skills to conduct impactful research.It covers the whole research process, from explaining what theories are for and planning your research design, through gathering and working with your data, to developing good practice in research reporting and dissemination. The book also: • Showcases the value of qualitative research, helping you understand its relevance, credibility and validity. • Grapples with how to decolonise your approach, do research in an ethical and inclusive way, and debias your thinking. • Challenges you to rethink how you conduct research and choose the most appropriate methods for your project. Giving you a fuller understanding of methods and methodologies to benefit your work regardless of the approach you choose, this book encourages you to discover the joy of qualitative research.
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What is the difference between qualitative and quantitative research?
Qualitative research focuses on understanding the underlying reasons, motivations, and opinions of individuals, often through methods such as interviews, focus groups, and observations. It aims to explore and interpret social phenomena without numerical data. On the other hand, quantitative research involves the collection and analysis of numerical data to quantify relationships and patterns, often through methods such as surveys, experiments, and statistical analysis. It aims to measure and quantify phenomena to test hypotheses and make generalizations. In summary, qualitative research seeks to understand the "why" behind a phenomenon, while quantitative research seeks to measure the "what" and "how much."
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What are quantitative questions?
Quantitative questions are those that can be answered with numerical data or measurements. These questions often seek to quantify or measure something, such as the frequency, amount, or size of a particular phenomenon. They are commonly used in research and surveys to gather specific data and analyze trends or patterns. Quantitative questions are important for obtaining precise and measurable information that can be used for statistical analysis and drawing conclusions.
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When is my research method qualitative and when is it quantitative?
Your research method is qualitative when you aim to gather in-depth insights, opinions, and perspectives on a particular topic. This method is often used to explore complex phenomena and understand the underlying reasons and motivations behind them. On the other hand, your research method is quantitative when you aim to collect numerical data and analyze it using statistical methods. This method is used to measure relationships, patterns, and trends within a population or sample. The choice between qualitative and quantitative methods depends on your research questions, objectives, and the type of data you want to collect and analyze.
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How can quantitative and qualitative research methods be combined in questionnaires?
Quantitative and qualitative research methods can be combined in questionnaires by including a mix of closed-ended (quantitative) and open-ended (qualitative) questions. Closed-ended questions provide structured data that can be easily analyzed quantitatively, while open-ended questions allow respondents to provide detailed, qualitative feedback. This combination can provide a more comprehensive understanding of the topic being studied, as it allows for both statistical analysis and in-depth insights from respondents. Researchers can also use qualitative data to help interpret and explain the quantitative results obtained from the closed-ended questions.
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