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Author: John Fox Publisher: SAGE ISBN: 1412960800 Category : Social Science Languages : en Pages : 185
Book Description
The ideal primer for students and researchers across the social sciences who wish to master the necessary maths in order to pursue studies involving advanced statistical methods
Author: John Fox Publisher: SAGE ISBN: 1412960800 Category : Social Science Languages : en Pages : 185
Book Description
The ideal primer for students and researchers across the social sciences who wish to master the necessary maths in order to pursue studies involving advanced statistical methods
Author: John Fox Publisher: SAGE Publications ISBN: 1071833243 Category : Social Science Languages : en Pages : 199
Book Description
A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "language" of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods. The volume concludes by applying mathematical concepts and operations to a familiar case, linear least-squares regression. The Second Edition pays more attention to visualization, including the elliptical geometry of quadratic forms and its application to statistics. It also covers some new topics, such as an introduction to Markov-Chain Monte Carlo methods, which are important in modern Bayesian statistics. A companion website includes materials that enable readers to use the R statistical computing environment to reproduce and explore computations and visualizations presented in the text. The book is an excellent companion to a "math camp" or a course designed to provide foundational mathematics needed to understand relatively advanced statistical methods.
Author: John Fox Publisher: SAGE Publications, Incorporated ISBN: 1071833227 Category : Social Science Languages : en Pages : 257
Book Description
A Mathematical Primer for Social Statistics, Second Edition presents mathematics central to learning and understanding statistical methods beyond the introductory level: the basic "language" of matrices and linear algebra and its visual representation, vector geometry; differential and integral calculus; probability theory; common probability distributions; statistical estimation and inference, including likelihood-based and Bayesian methods. The volume concludes by applying mathematical concepts and operations to a familiar case, linear least-squares regression. The Second Edition pays more attention to visualization, including the elliptical geometry of quadratic forms and its application to statistics. It also covers some new topics, such as an introduction to Markov-Chain Monte Carlo methods, which are important in modern Bayesian statistics. A companion website includes materials that enable readers to use the R statistical computing environment to reproduce and explore computations and visualizations presented in the text. The book is an excellent companion to a "math camp" or a course designed to provide foundational mathematics needed to understand relatively advanced statistical methods.
Author: John Levi Martin Publisher: University of Chicago Press ISBN: 022656777X Category : Social Science Languages : en Pages : 377
Book Description
Simply put, Thinking Through Statistics is a primer on how to maintain rigorous data standards in social science work, and one that makes a strong case for revising the way that we try to use statistics to support our theories. But don’t let that daunt you. With clever examples and witty takeaways, John Levi Martin proves himself to be a most affable tour guide through these scholarly waters. Martin argues that the task of social statistics isn't to estimate parameters, but to reject false theory. He illustrates common pitfalls that can keep researchers from doing just that using a combination of visualizations, re-analyses, and simulations. Thinking Through Statistics gives social science practitioners accessible insight into troves of wisdom that would normally have to be earned through arduous trial and error, and it does so with a lighthearted approach that ensures this field guide is anything but stodgy.
Author: Chava Frankfort-Nachmias Publisher: Pine Forge Press ISBN: 9781412915175 Category : Reference Languages : en Pages : 616
Book Description
"Social Statistics for a Diverse Society provides students with a revealing introduction to social science statistics. This Fourth Edition maintains the same informal, conversational writing style, along with the many pedagogical features that made previous editions so successful. It is an excellent textbook for students taking their first course in social statistics and can also be used in a number of sociological research methods courses."--BOOK JACKET.
Author: Miriam Schapiro Grosof Publisher: Academic Press ISBN: 1483258017 Category : Social Science Languages : en Pages : 450
Book Description
A Research Primer for the Social and Behavioral Sciences provides an introductory but comprehensive overview of the research process that primarily concerns human subjects. This book discusses the methods of acquiring knowledge, importance of a well-chosen problem, review of the literature, and relationship between theory-building and hypothesis-testing. The common sources of invalidity in practice, non-experimental research types, Stevens' classification of scales, and estimation based on probabilistic sampling are also elaborated. This text likewise covers the role of computer in research, techniques for analysis of data, univariate and bivariate statistics, and assumptions underlying analysis of variance. Other topics include the canonical correlation analysis, non-parametric analysis of variance, deterministic problem analysis techniques, and common errors in presentation of findings. This publication is intended for novice investigators in the broad category of social and behavioral sciences.
Author: Richard J. Harris Publisher: Psychology Press ISBN: 1135555435 Category : Psychology Languages : en Pages : 632
Book Description
Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why one should consider diving into more detailed treatments of computer-modeling and latent-variable techniques, such as non-recursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis.
Author: Raghubar D. Sharma Publisher: Cambridge Scholars Publishing ISBN: 9781527573550 Category : Languages : en Pages :
Book Description
This book represents a crucial resource for students taking a required statistics course who are intimidated by statistical symbols, formulae, and daunting equations. It will serve to prepare the reader to achieve the level of statistical literacy required not only to understand basic statistics, but also to embark on their advanced-level statistics courses without anxiety. The application of statistics in social research has recently become imperative. However, a gap usually exists between the time when students take their first statistics course and when they engage in their first serious research project, meaning that they often donâ (TM)t remember basic statistics well enough to apply it effectively in their research. In this sense, this book will also serve as an excellent â oedesk reference, â â oerefresher, â or â oecore conceptâ text for burgeoning researchers interning or working as a research assistant or research associate. Furthermore, the text is written in a self-help, hands-on learning style so the reader can easily attain the skills needed to achieve a basic understanding of statistics found in articles and presentations.
Author: John Fox
Author: John Fox
Author: John Fox
Author: John Fox
Author: Sanford M. Dornbusch
Author: John Levi Martin
Author: Chava Frankfort-Nachmias
Author: Miriam Schapiro Grosof
Author: Richard J. Harris
Author: Raghubar D. Sharma
Author: Derek Rowntree