CONFIDENCE INTERVALS QUANTITATIVE APPLICATIONS IN THE SOCIAL SCIENCES

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Confidence Intervals

Author : Michael Smithson
ISBN : 076192499X
Genre : Mathematics
File Size : 40.20 MB
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Using lots of easy to understand examples from different disciplines, the author introduces the basis of the confidence interval framework and provides the criteria for `best′ confidence intervals, along with the trade-offs between confidence and precision. The book covers such pertinent topics as: the transformation principle whereby a confidence interval for a parameter may be used to construct an interval for any monotonic transformation of that parameter; confidence intervals on distributions whose shape changes with the value of the parameter being estimated; and, the relationship between confidence interval and significance testing frameworks, particularly regarding power.
Category: Mathematics

The Sage Encyclopedia Of Social Science Research Methods

Author : Michael Lewis-Beck
ISBN : 0761923632
Genre : Social Science
File Size : 31.99 MB
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"The first encyclopedia to cover inclusively both quantitative and qualitative research approaches, this set provides clear explanations of 1,000 methodologies, avoiding mathematical equations when possible with liberal cross-referencing and bibliographies. Each volume includes a list of works cited, and the third contains a comprehensive index and lists of person names, organizations, books, tests, software, major concepts, surveys, and methodologies."--"Reference that rocks," American Libraries, May 2005.
Category: Social Science

Fuzzy Set Theory

Author : Michael Smithson
ISBN : 076192986X
Genre : Mathematics
File Size : 71.99 MB
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Fuzzy set theory deals with sets or categories whose boundaries are blurry or, in other words, "fuzzy." This book presents an accessible introduction to fuzzy set theory, focusing on its applicability to the social sciences. Unlike most books on this topic, Fuzzy Set Theory: Applications in the Social Sciences provides a systematic, yet practical guide for researchers wishing to combine fuzzy set theory with standard statistical techniques and model-testing.
Category: Mathematics

Modern Methods For Robust Regression

Author : Robert Andersen
ISBN : 9781412940726
Genre : Social Science
File Size : 78.4 MB
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Geared towards both future and practising social scientists, this book takes an applied approach and offers readers empirical examples to illustrate key concepts. It includes: applied coverage of a topic that has traditionally been discussed from a theoretical standpoint; empirical examples to illustrate key concepts; a web appendix that provides readers with the data and the R-code for the examples used in the book.
Category: Social Science

Bootstrapping

Author : Christopher Z. Mooney
ISBN : 080395381X
Genre : Social Science
File Size : 90.96 MB
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Bootstrapping, a computational nonparametric technique for "re-sampling," enables researchers to draw a conclusion about the characteristics of a population strictly from the existing sample rather than by making parametric assumptions about the estimator. Using real data examples from per capita personal income to median preference differences between legislative committee members and the entire legislature, Mooney and Duval discuss how to apply bootstrapping when the underlying sampling distribution of the statistics cannot be assumed normal, as well as when the sampling distribution has no analytic solution. In addition, they show the advantages and limitations of four bootstrap confidence interval methods: normal approximation, percenti
Category: Social Science

Tests Of Significance

Author : Ramon E. Henkel
ISBN : 0803906528
Genre : Business & Economics
File Size : 48.76 MB
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An elementary introduction to significance testing, this paper provides a conceptual and logical basis for understanding these tests.
Category: Business & Economics

Statistics With Confidence

Author : Michael Smithson
ISBN : 0761960317
Genre : Psychology
File Size : 88.71 MB
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This textbook offers an accessible and comprehensive introduction to statistics for all undergraduate psychology students, but particularly those in their second and third years who have already covered an initial introductory course. It covers all of the key areas in quantitative methods including sampling, significance tests, regression, and multivariate techniques and incorporates a range of exercises and problems at the end of each chapter for the student to follow. The free CD-ROM with tutorial modules complements and enhances the exercises in the text, offers scope for distance learning, and makes both the traditional and non-traditional approaches much more accessible. Key points of the book a
Category: Psychology

Understanding Significance Testing

Author : Lawrence B. Mohr
ISBN : 0803935684
Genre : Mathematics
File Size : 87.36 MB
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Significance testing - a core technique in statistics for hypothesis testing - is introduced in this volume. Mohr first reviews what is meant by sampling and probability distributions and then examines in-depth normal and t-tests of significance. The uses and misuses of significance testing are also explored.
Category: Mathematics

Internet Data Collection

Author : Samuel J. Best
ISBN : 0761927107
Genre : Computers
File Size : 52.6 MB
Format : PDF
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Designed for researchers and students alike, the volume describes how to perform each stage of the data collection process on the Internet, including sampling, instrument design, and administration. Through the use of non-technical prose and illustrations, it details the options available, describes potential dangers in choosing them, and provides guidelines for sidestepping them. In doing so, though, it does not simply reiterate the practices of traditional communication modes, but approaches the Internet as a unique medium that necessitates its own conventions.
Category: Computers