Statistical Methods for the Social Sciences

Author: Alan Agresti,Barbara Finlay

Publisher: Prentice Hall

ISBN: 9780137131501

Category: Social sciences

Page: 609

View: 573

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When I undertook the first edition of this book my goal was to introduce statistical methods in a style that emphasized their concepts and their application to the social sciences rather than the mathematics and computational details behind them. This fourth edition has an even stronger emphasis on concepts and applications, with greater attention to "real data" both in the examples and exercises.
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Statistical Methods for the Social Sciences, Global Edition

Author: Alan Agresti,Barbara Finlay

Publisher: N.A

ISBN: 9781292220314

Category:

Page: 568

View: 3810

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For courses in Statistical Methods for the Social Sciences. Statistical methods applied to social sciences, made accessible to all through an emphasis on concepts Statistical Methods for the Social Sciences introduces statistical methods to students majoring in social science disciplines. With an emphasis on concepts and applications, this book assumes no previous knowledge of statistics and only a minimal mathematical background. It contains sufficient material for a two-semester course. The 5th Edition uses examples and exercises with a variety of "real data." It includes more illustrations of statistical software for computations and takes advantage of the outstanding applets to explain key concepts, such as sampling distributions and conducting basic data analyses. It continues to downplay mathematics--often a stumbling block for students--while avoiding reliance on an overly simplistic recipe-based approach to statistics.
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Statistical Methods for the Social and Behavioural Sciences

A Model-Based Approach

Author: David B. Flora

Publisher: SAGE

ISBN: 1526421925

Category: Social Science

Page: 472

View: 2892

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Statistical methods in modern research increasingly entail developing, estimating and testing models for data. Rather than rigid methods of data analysis, the need today is for more flexible methods for modelling data. In this logical, easy-to-follow and exceptionally clear book, David Flora provides a comprehensive survey of the major statistical procedures currently used. His innovative model-based approach teaches you how to: Understand and choose the right statistical model to fit your data Match substantive theory and statistical models Apply statistical procedures hands-on, with example data analyses Develop and use graphs to understand data and fit models to data Work with statistical modeling principles using any software package Learn by applying, with input and output files for R, SAS, SPSS, and Mplus. Statistical Methods for the Social and Behavioural Sciences: A Model Based Approach is the essential guide for those looking to extend their understanding of the principles of statistics, and begin using the right statistical modeling method for their own data. It is particularly suited to second or advanced courses in statistical methods across the social and behavioural sciences.
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Statistics for the Social Sciences

Author: Russell T. Warne

Publisher: Cambridge University Press

ISBN: 1107576970

Category: Mathematics

Page: 601

View: 3485

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This introductory undergraduate textbook is the first statistics textbook built around the General Linear Model.
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Statistics for the Social Sciences

Author: Rand R. Wilcox

Publisher: N.A

ISBN: N.A

Category: Mathematics

Page: 454

View: 658

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This book not only provides a simple description of the basic concepts and principles of statistical analysis for the social sciences, it also points to failures of methods and offers ways to correct such problems. For example, it was once thought that standard hypothesis testing procedures for means have relatively high power under nonnormality. Many studies have since demonstrated that power can be very low even with very slight departures from normality. This bookexplains how and why such departures can occur. Statistics for the Social Sciences goes beyond the typical introductory material on probability and statistical inference to incorporate modern topics of critical importance in social science research. The text includes coverage of such topics asrobust methods for comparing measures of location; modern regression techniques; recent developments associated with heteroscedastic procedures; the latest developments in nonparametric statistics; and a full chapter on multiple comparison procedures. The accompanying disk contains more than 150 easy-to-use Minitab macros that provide the student with state-of-the-art statistical methods not available in standard statistical packages. Once the data are read into Minitab, a single command provides access to more powerful, more flexible, and more accurate statistical procedures. Extensive use of real data in examples and exercises Includes a disk with 150 Minitab macros for all the modern, nonstandard procedures Explains why certain methods might fail and what to do to correct such problems Provides exercises at the end of each chapter
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Statistics for the Social Sciences

Author: R. Mark Sirkin

Publisher: SAGE

ISBN: 9781412905466

Category: Social Science

Page: 610

View: 7844

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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.
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Statistical Methods for Social Scientists

Author: Eric A Hanushek,John E. Jackson

Publisher: Academic Press

ISBN: 0080918573

Category: Mathematics

Page: 374

View: 5102

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The aspects of this text which we believe are novel, at least in degree, include: an effort to motivate different sections with practical examples and an empirical orientation; an effort to intersperse several easily motivated examples throughout the book and to maintain some continuity in these examples; and the extensive use of Monte Carlo simulations to demonstrate particular aspects of the problems and estimators being considered. In terms of material being presented, the unique aspects include the first chapter which attempts to address the use of empirical methods in the social sciences, the seventh chapter which considers models with discrete dependent variables and unobserved variables. Clearly these last two topics in particular are quite advanced--more advanced than material that is currently available on the subject. These last two topics are also currently experiencing rapid development and are not adequately described in most other texts.
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Applied Statistical Methods

For Business, Economics, and the Social Sciences

Author: William Lee Carlson

Publisher: N.A

ISBN: 9780135708477

Category: Mathematics

Page: 1021

View: 6217

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[NOTE: Is this the current title?] This book describes and explains the entire process of designing and building a distributed object application with the VisualAge Smalltalk Distributed feature.This book contains an overview of the features and architecture of SmallTalk's Distributed feature; sample application components with supporting documentation to illustrate design and coding; and recommendations for building distributed object applications with VisualAge. Learn how to set up the development environment, and special considerations for testing, run-time configurations, optimization and performance tuning.For software development managers, designers and others planning to develop client/server and peer-to-peer applications with distributed objects using VisualAge.
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