mathematics for social scientists

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Mathematics For Social Scientists

Author : Jonathan Kropko
ISBN : 9781506304236
Genre : Social Science
File Size : 44. 37 MB
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Written for social science students who will be working with or conducting research, Mathematics for Social Scientists offers a non-intimidating approach to learning or reviewing math skills essential in quantitative research methods. The text is designed to build students’ confidence by presenting material in a conversational tone and using a wealth of clear and applied examples. Author Jonathan Kropko argues that mastering these concepts will break students’ reliance on using basic models in statistical software, allowing them to engage with research data beyond simple software calculations.

Basic Math For Social Scientists

Author : Timothy Hagle
ISBN : 0803958757
Genre : Mathematics
File Size : 34. 6 MB
Format : PDF
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A review of the basic mathematical concepts that underlie most quantitative analysis in the social sciences is presented in this volume. The author begins with an algebra review featuring sets and combinations and then discusses limits and continuity. Calculus is presented next, with an introduction to differential calculus, multivariate functions, partial derivatives, and integral calculus. Finally the book deals with matrix algebra. Packed with helpful definitions, equations, examples and alternative notations, the book also includes a useful appendix of common mathematical symbols and Greek letters.

Mathematics For Social Scientists

Author : Ki Hang Kim
ISBN : STANFORD:36105035765796
Genre : Mathematics
File Size : 56. 12 MB
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Essential Mathematics For Political And Social Research

Author : Jeff Gill
ISBN : 9780521834261
Genre : Mathematics
File Size : 76. 72 MB
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This 2006 book addresses the comprehensive introduction to the mathematical principles needed by modern social scientists.

Statistics For The Social Sciences

Author : R. Mark Sirkin
ISBN : 141290546X
Genre : Mathematics
File Size : 48. 16 MB
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Popular in previous editions, this Third Edition continues to help build students' confidence and ability in doing statistical analysis by slowly moving from concepts that require little computational work to those that require more. Author R. Mark Sirkin once again demonstrates how statistics can be used so that students come to appreciate their usefulness rather than fear them. Statistics for the Social Sciences emphasizes the analysis and interpretation of data to give students a feel for how data interpretation is related to the methods by which the information was obtained.

Applied Computational Mathematics In Social Sciences

Author : Romulus-Catalin Damaceanu
ISBN : 1608050890
Genre : Computers
File Size : 26. 36 MB
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Applied Computational Mathematics in Social Sciences adopts a modern scientific approach that combines knowledge from mathematical modeling with various aspects of social science. Special algorithms can be created to simulate an artificial society and a detailed analysis can subsequently be used to project social realities. This Ebook specifically deals with computations using the NetLogo platform, and is intended for researchers interested in advanced human geography and mathematical modeling studies.

Basic Mathematics For The Biological And Social Sciences

Author : F. H. C. Marriott
ISBN : 9781483136257
Genre : Mathematics
File Size : 88. 74 MB
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Basic Mathematics for the Biological and Social Sciences deals with the applications of basic mathematics in the biological and social sciences. Mathematical concepts that are discussed in this book include graphical methods, differentiation, trigonometrical or circular functions, limits and convergence, integration, vectors, and differential equations. The exponential function and related functions are also considered. This monograph is comprised of 11 chapters and begins with an overview of basic algebra, followed by an introduction to infinitesimal calculus, scalar and vector quantities, complex numbers, and the simplest types of differential equation. The use of graphs in the presentation of data is also described, along with limits and convergence, rules for differentiation, the exponential function, and maxima and minima. Techniques of integration, vectors and their derivatives, and simultaneous differential equations are explored as well. Examples from biology, economics and related subjects, probability theory, and physics are provided. This text will be a useful resource for mathematicians as well as biologists and social scientists interested in applying mathematics to their work.

A Mathematical Primer For Social Statistics

Author : John Fox
ISBN : 9781412960809
Genre : Mathematics
File Size : 57. 84 MB
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Beyond the introductory level, learning and effectively using statistical methods in the social sciences requires some knowledge of mathematics. This handy volume introduces the areas of mathematics that are most important to applied social statistics.

Graph Algebra

Author : Courtney Brown
ISBN : 9781412941099
Genre : Mathematics
File Size : 27. 5 MB
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Derived from engineering literature that uses similar techniques to map electronic circuits and physical systems, graph algebra utilizes a systems approach to modelling that offers social scientists a variety of tools that are both sophisticated and easily applied.

The Analysis And Interpretation Of Multivariate Data For Social Scientists

Author : J.I. Galbraith
ISBN : 1584882956
Genre : Mathematics
File Size : 22. 64 MB
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Multivariate analysis is an important tool for social researchers, but the subject is broad and can be quite technical for those with limited mathematical and statistical backgrounds. To effectively acquire the tools and techniques they need to interpret multivariate data, social science students need clear explanations, a minimum of mathematical detail, and a wide range of exercises and worked examples. Classroom tested for more than 10 years, The Analysis and Interpretation of Multivariate Data for Social Scientists describes and illustrates methods of multivariate data analysis important to the social sciences. The authors focus on interpreting the pattern of relationships among many variables rather than establishing causal linkages, and rely heavily on numerical examples, visualization, and on verbal , rather than mathematical exposition. They present methods for categorical variables alongside the more familiar method for continuous variables and place particular emphasis on latent variable techniques. Ideal for introductory, senior undergraduate and graduate-level courses in multivariate analysis for social science students, this book combines depth of understanding and insight with the practical details of how to carry out and interpret multivariate analyses on real data. It gives them a solid understanding of the most commonly used multivariate methods and the knowledge and tools to implement them. Datasets, the SPSS syntax and code used in the examples, and software for performing latent variable modelling are available at http://www.mlwin.com/team/aimdss.html>

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