Quantitative Research Graph Book
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Quantitative Research Graph Book
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Author : Livingston
language : en
Publisher:
Release Date : 2019-11-29
Quantitative Research Graph Book written by Livingston and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-29 with categories.
Graph Paper Composition Notebook, Journal, Diary - One Subject - 120 PagesMakes a wonderful daily graph/grid notebook to draw, write, journal, take notes, make lists, and much more creativity!This is a simple and durable all-purpose daily graph/grid notebook. There is plenty of room inside for drawing, writing notes, journaling, doodling, list making, creative writing, school notes, and capturing ideas. It can be used as a notebook, journal, diary, or composition book. This paperback notebook is 6x9 with a soft, matte cover and has 120 quad ruled pages. Perfect for all ages -- kids or adults!Wonderful as a gift, present, or personal notebook!About this notebook:120 graph ruled pagesGrid ruled on both sides with thin gray linesPerfect for architects, artists, and any drawing activitiesHigh-quality matte cover for a professional finish
Statistics And Data Visualization Using R
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Author : David S. Brown
language : en
Publisher: SAGE Publications
Release Date : 2021-08-24
Statistics And Data Visualization Using R written by David S. Brown and has been published by SAGE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-24 with Social Science categories.
Designed to introduce students to quantitative methods in a way that can be applied to all kinds of data in all kinds of situations, Statistics and Data Visualization Using R: The Art and Practice of Data Analysis by David S. Brown teaches students statistics through charts, graphs, and displays of data that help students develop intuition around statistics as well as data visualization skills. By focusing on the visual nature of statistics instead of mathematical proofs and derivations, students can see the relationships between variables that are the foundation of quantitative analysis. Using the latest tools in R and R RStudio® for calculations and data visualization, students learn valuable skills they can take with them into a variety of future careers in the public sector, the private sector, or academia. Starting at the most basic introduction to data and going through most crucial statistical methods, this introductory textbook quickly gets students new to statistics up to speed running analyses and interpreting data from social science research.
Qualitative Research Graph Handbook Gift
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Author : Livingston
language : en
Publisher:
Release Date : 2019-11-29
Qualitative Research Graph Handbook Gift written by Livingston and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-29 with categories.
6x9 Graph Paper Qualitative Composition Notebook: Perfect for math, science, school, college, drawing, writing, to-do lists, and more! About this notebook: Length: 120 Pages Paper: Good Quality White, Quad Ruled PaperSize: 6x9Cover: High Quality Matte Soft CoverBinding: Professional Paperback Binding, Non-Perforated Pag
Quantitative Graph Theory
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Author : Matthias Dehmer
language : en
Publisher: CRC Press
Release Date : 2014-10-27
Quantitative Graph Theory written by Matthias Dehmer and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-10-27 with Computers categories.
The first book devoted exclusively to quantitative graph theory, Quantitative Graph Theory: Mathematical Foundations and Applications presents and demonstrates existing and novel methods for analyzing graphs quantitatively. Incorporating interdisciplinary knowledge from graph theory, information theory, measurement theory, and statistical techniques, this book covers a wide range of quantitative-graph theoretical concepts and methods, including those pertaining to real and random graphs such as: Comparative approaches (graph similarity or distance) Graph measures to characterize graphs quantitatively Applications of graph measures in social network analysis and other disciplines Metrical properties of graphs and measures Mathematical properties of quantitative methods or measures in graph theory Network complexity measures and other topological indices Quantitative approaches to graphs using machine learning (e.g., clustering) Graph measures and statistics Information-theoretic methods to analyze graphs quantitatively (e.g., entropy) Through its broad coverage, Quantitative Graph Theory: Mathematical Foundations and Applications fills a gap in the contemporary literature of discrete and applied mathematics, computer science, systems biology, and related disciplines. It is intended for researchers as well as graduate and advanced undergraduate students in the fields of mathematics, computer science, mathematical chemistry, cheminformatics, physics, bioinformatics, and systems biology.
Qualitative And Quantitative Research On Graphs Via Matrices
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Author : Sooyeong Kim
language : en
Publisher:
Release Date : 2021
Qualitative And Quantitative Research On Graphs Via Matrices written by Sooyeong Kim and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021 with categories.
A fundamental mathematical approach uses graphs to understand networks representing objects with their interrelationships. This thesis is dedicated to qualitative and quantitative research through a bridge--the connections in a graph--with Gram mates arising in social networks; Fiedler vectors in networks; Kemeny's constant in road networks; and perfect state transfer in quantum spin networks. We use techniques from graph theory together with matrix theory--combinatorial matrix theory, algebraic graph theory, and spectral graph theory. Our main work is to examine two-mode networks retaining their information under the conversion approach in social networks. We characterize the relationship of two-mode networks (Gram mates) with the same single-mode networks via their singular values and vectors. So, we produce pairs of Gram mates that inform the retention of the information of two-mode networks. Furthermore, we provide Gram mates under mathematical restrictions. Our next goal is to inspect the robustness of the usage of Fiedler vectors in networks. One popular technique for detecting community structures is based on spectral bisection that uses Fiedler vectors for graph partitioning. We examine graphs where the partite sets resulting from spectral bisection are extremely different in size. We discuss pathological graphs where any choice of Fiedler vectors produces the bisection where one is a singleton and the other the rest. We furnish some classes of graphs that are potentially pathological. Our third task is to explain Braess' paradox in road networks. Kemeny's constant for a Markov chain can be used to measure the travel time of vehicles between two randomly chosen places. We present graphs where the insertion of an edge increases Kemeny's constant. We provide tools for identifying such an edge with examples of graphs, and produce families of graphs with such edges. Our goal of the final research is to switch interactions between qubits in a quantum spin network corresponding to a hypercube, in order for the manipulated spin network to become insensitive to external environments under perfect state transfer (PST). We investigate differences and similarities between hypercubes and the resulting graphs regarding the graph structure, PST, and the sensitivity of PST.
Quantitative Data Analysis Using Spss An Introduction For Health And Social Sciences
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Author : Greasley, Pete
language : en
Publisher: McGraw-Hill Education (UK)
Release Date : 2007-12-01
Quantitative Data Analysis Using Spss An Introduction For Health And Social Sciences written by Greasley, Pete and has been published by McGraw-Hill Education (UK) this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-01 with Medical categories.
Designed for the complete novice, this title guides you through a sample analysis of survey data and shows you step-by-step how to use SPSS to complete it.
Statistical Analysis Of Network Data With R
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Author : Eric D. Kolaczyk
language : en
Publisher: Springer
Release Date : 2014-05-22
Statistical Analysis Of Network Data With R written by Eric D. Kolaczyk and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-05-22 with Computers categories.
Networks have permeated everyday life through everyday realities like the Internet, social networks, and viral marketing. As such, network analysis is an important growth area in the quantitative sciences, with roots in social network analysis going back to the 1930s and graph theory going back centuries. Measurement and analysis are integral components of network research. As a result, statistical methods play a critical role in network analysis. This book is the first of its kind in network research. It can be used as a stand-alone resource in which multiple R packages are used to illustrate how to conduct a wide range of network analyses, from basic manipulation and visualization, to summary and characterization, to modeling of network data. The central package is igraph, which provides extensive capabilities for studying network graphs in R. This text builds on Eric D. Kolaczyk’s book Statistical Analysis of Network Data (Springer, 2009).
Python For Graph And Network Analysis
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Author : Mohammed Zuhair Al-Taie
language : en
Publisher: Springer
Release Date : 2017-03-20
Python For Graph And Network Analysis written by Mohammed Zuhair Al-Taie and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2017-03-20 with Computers categories.
This research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego, group, and community. They will be able to analyse militant and revolutionary networks and candidate networks during elections. For instance, they will learn how the Ebola virus spread through communities. Practically, the book is suitable for courses on social network analysis in all disciplines that use social methodology. In the study of social networks, social network analysis makes an interesting interdisciplinary research area, where computer scientists and sociologists bring their competence to a level that will enable them to meet the challenges of this fast-developing field. Computer scientists have the knowledge to parse and process data while sociologists have the experience that is required for efficient data editing and interpretation. Social network analysis has successfully been applied in different fields such as health, cyber security, business, animal social networks, information retrieval, and communications.
Quantitative Research In Education
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Author : Wayne K. Hoy
language : en
Publisher: SAGE
Release Date : 2010
Quantitative Research In Education written by Wayne K. Hoy and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with Education categories.
Quantitative Research in Education: A Primer is a brief and practical guide to conducting research in Education. It provides a reference point for beginning educational researchers to grasp the most pertinent elements of designing and conducting research. Starting with the nature of research and science, it then turns to the meaning of concepts, variables, and research in education to cover the entire research process. The goal of this text is to dispel notions that quantitative research is too difficult, too statistical, and too theoretical, and generate interest and understanding in using this type of research creatively and effectively. Features: Demonstrates all concepts in the text with concrete examples specific to Education Examines the conceptual foundations of statistics in order to better understand quantitative research Charts allow students to select appropriate statistical techniques for given scenarios A brief set of exercises at the conclusion of each chapter allow for immediate practice of key concepts Provides particular strategies and techniques to help students understand the process of creating their own hypotheses
Doing Statistical Analysis
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Author : Christer Thrane
language : en
Publisher: Taylor & Francis
Release Date : 2022-07-29
Doing Statistical Analysis written by Christer Thrane and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-29 with Business & Economics categories.
Doing Statistical Analysis looks at three kinds of statistical research questions – descriptive, associational, and inferential – and shows students how to conduct statistical analyses and interpret the results. Keeping equations to a minimum, it uses a conversational style and relatable examples such as football, COVID-19, and tourism, to aid understanding. Each chapter contains practice exercises, and a section showing students how to reproduce the statistical results in the book using Stata and SPSS. Digital supplements consist of data sets in Stata, SPSS, and Excel, and a test bank for instructors. Its accessible approach means this is the ideal textbook for undergraduate students across the social and behavioral sciences needing to build their confidence with statistical analysis.