statistical methods for the social sciences united states edition

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Statistical Methods For The Social Sciences

Author : Alan Agresti
ISBN : 0135265266
Genre : Social Science
File Size : 74. 42 MB
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Assuming no prior knowledge of statistics, these authors combine their varied backgrounds—one a statistician, the other a social scientist—to introduce statistical methods with a high degree of statistical accuracy and a wealth of examples that are interesting and relevant to social scientists. KEY TOPICS: The Third Edition has been both updated and improved to integrate real-world data into examples and exercises, and make coverage more accessible throughout.

Using Statistical Methods In Social Science Research

Author : Soleman H. Abu-Bader
ISBN : 9780190685355
Genre : Social Science
File Size : 37. 11 MB
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In Using Statistical Methods, Soleman Abu-Bader detects and addresses the gaps between the research and data analysis of the classroom environment and the practitioner's office. This book not only guides social scientists through different tests, but also provides students and researchers alike with information that will help them in their own practice. With focus on the purpose, rationale, and assumptions made by each statistical test, and a plethora of research examples that clearly display their applicability and function in real-world practice, Professor Abu-Bader creates a step-by-step description of the process needed to clearly organize, choose a test or statistical technique, analyze, interpret, and report research findings.

Statistical Methods For The Social And Behavioural Sciences

Author : David B. Flora
ISBN : 9781526421920
Genre : Social Science
File Size : 39. 59 MB
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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.

Propensity Score Analysis

Author : Shenyang Guo
ISBN : 9781452235004
Genre : Mathematics
File Size : 61. 12 MB
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Fully updated to reflect the most recent changes in the field, the Second Edition of Propensity Score Analysis provides an accessible, systematic review of the origins, history, and statistical foundations of propensity score analysis, illustrating how it can be used for solving evaluation and causal-inference problems. With a strong focus on practical applications, the authors explore various strategies for employing PSA, discuss the use of PSA with alternative types of data, and delineate the limitations of PSA under a variety of constraints. Unlike existing textbooks on program evaluation and causal inference, this book delves into statistical concepts, formulas, and models within the context of a robust and engaging focus on application.

Statistics For The Social Sciences

Author : R. Mark Sirkin
ISBN : 141290546X
Genre : Mathematics
File Size : 50. 92 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.

Statistics Without Tears

Author : Derek Rowntree
ISBN : 0205395090
Genre : Social Science
File Size : 59. 44 MB
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"An ideal introduction to statistics in any field." This text uses words and diagrams, rather than formulas and equations, to help students from all subject areas understand what statistics is, and how to think statistically. The author uses a question-and-answer presentation style to help students learn on their own. "Statistics Without Tears" focuses on the ideas behind statistics only; students are not required to perform any calculations.

The Reviewer S Guide To Quantitative Methods In The Social Sciences

Author : Gregory R. Hancock
ISBN : 9781135172992
Genre : Education
File Size : 39. 80 MB
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The Reviewer’s Guide is designed for reviewers of research manuscripts and proposals in the social and behavioral sciences, and beyond. Its uniquely structured chapters address traditional and emerging quantitative methods of data analysis.

Statistical Methods For Social Scientists

Author : Eric A Hanushek
ISBN : 9780080918570
Genre : Mathematics
File Size : 75. 36 MB
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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.

Applied Statistical Methods

Author : William Lee Carlson
ISBN : 0135708478
Genre : Mathematics
File Size : 20. 52 MB
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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.

Selecting Statistical Techniques For Social Science Data

Author : Frank M. Andrews, Ph.D.
ISBN : 1580251188
Genre : Computers
File Size : 52. 27 MB
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Take the guesswork out of selecting a statistical technique for social science data! This guide will help you select from the vast array of statistical techniques that can be applied in a particular analysis. This guide addresses social scientists, data analysts, and graduate students who have some knowledge of social science statistics and who want a systematic, highly condensed overview of many of the statistical techniques in current use and the purposes for which each is intended. Originally published in 1971, this guide has been updated to incorporate current statistical and analytical developments. In addition, you'll find a summary of how each of the techniques is provided through SAS software.

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