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7 edition of Statistical methods for comparative studies found in the catalog.

Statistical methods for comparative studies

techniques for bias reduction

  • 342 Want to read
  • 3 Currently reading

Published by Wiley in New York,NY .
Written in English

    Subjects:
  • Statistics

  • Edition Notes

    27

    SeriesWiley series in probability and mathematical statistics
    ContributionsSharon Anderson, Ariane Auquier, Walter W. Hauck..
    Classifications
    LC ClassificationsQA 276 STA 1980
    The Physical Object
    Paginationxiii,289 p. : ill.
    Number of Pages289
    ID Numbers
    Open LibraryOL21071946M
    ISBN 100471048380

    Statistical concepts are required to be considered throughout a study, from planning to the final reporting stage. This article provides a brief overview of statistical methods used at various stages of a research study with the main emphasis on estimation of minimum sample size for various types of objectives. Publication date Series Wiley series in probability and mathematical statistics Related Work Bias reduction. ISBN $ (est.)

    Comparative Analysis and Case Studies MEVIT - Gunn Sara Enli, Associate Professor Department of Media and Communication University of Oslo 2> D ep ar tm nofM d iC uc Plan for lecture Case study Comparative method Participant observation 3> D ep ar tm nofM d iC uc Defininition:ʻCase Studyʼ A case study is an empirical enquiery. Comparative research is a research methodology in the social sciences that aims to make comparisons across different countries or cultures.A major problem in comparative research is that the data sets in different countries may define categories differently (for example by using different definitions of poverty) or may not use the same categories.

    Statistical Survey Techniques Comparative Studies in Behavioral Science Probability and Statistics Series WILEY SERIES in PROBABILITY and STATISTICS: APPLIED PROBABILITY and STATIST ICS SECTION Series Wiley publication in applied statistics Wiley series in probability and mathematical statistics Wiley series in probability and mathematical. ABSTRACT This article is a slightly edited excerpt from a forthcoming book by David Phillips & Michele Schweisfurth: Comparative and International Education: an introduction to theory, method, and practice (Continuum, ). This part of the study rehearses some of the considerations of method in comparative studies in education.


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Statistical methods for comparative studies Download PDF EPUB FB2

We discuss methods that combine features of two or more techniques. Chapter 14 deals with many of the practical issues that must be faced before drawing causal inferences from comparative studies.

Use of the Book The book is intended for students, researchers, and administrators who have had a course in statistics or the equivalent experience. About this book Brings together techniques for the design and analysis of comparative studies. Methods include multivariate matching, standardization and stratification, analysis of covariance, logit analysis, and log linear analysis.

The book treats various sources of bias in comparative studies―both randomized and observational―and offers guidance on how they should be addressed by researchers. Utilizing a relatively simple mathematical approach, the author develops a theory of bias that outlines the essential nature of the problem and identifies the various sources of Cited Statistical methods for comparative studies book Methods include multivariate matching, standardization and stratification, analysis of covariance, logit analysis, and log linear analysis.

Quantitatively assesses techniques' effectiveness in reducing bias. Discusses hypothesis testing, survival analysis, repeated measure design, and causal inference from comparative by: STATISTICAL METHODS 1 STATISTICAL METHODS Arnaud Delorme, Swartz Center for Computational Neuroscience, INC, University of San Diego California, CA, La Jolla, USA.

Email: [email protected] Keywords: statistical methods, inference, models, clinical, software, bootstrap, resampling, PCA, ICA Abstract: Statistics represents that body of methods by which.

ISBN: OCLC Number: Description: xiii, pages ; 24 cm: Contents: 1. Introduction Confounding factors Expressing the treatment effect Randomized and nonrandomized studies Some general considerations in controlling bias Matching Standardization and stratification Analysis of covariance Logit analysis 2.

Statistical Inference for a Single Proportion. Assessing Significance in a Fourfold Table. Determining Sample Sizes Needed to Detect a Difference Between Two Proportions. How to Randomize. Comparative Studies: Cross-Sectional, Naturalistic, or Multinomial Sampling.

Comparative Studies: Prospective and Retrospective Sampling. Methods and data analysis of comparative research that are comparative in nature / most studies of this type involve data from at least 2 cultural groups, but. Statistical methods for comparative studies: techniques for bias reduction Sharon Anderson, Ariane Auquier, Walter W.

Hauck, David Oakes, Walter Vandaele, Herbert I. Weisberg Brings together techniques for the design and analysis of comparative studies. Second, comparative studies lead to less generalizable conclusions.

Third, when possible cases are limited, data selection may pre-determine the hypothesis. Nonetheless, Lijphart advocates greater use of comparative methods to complement the statistical methods dominating the literature at the time. : Statistical Methods for Comparative Studies: Techniques for Bias Reduction (Wiley Series in Probability and Statistics) () by Anderson, Sharon Roe; Auquier, Ariane; Hauck, Walter W.; Oakes, David; Vandaele, Walter; Weisberg, Herbert I.

and a great selection of similar New, Used and Collectible Books available now at great Range: $ - $ Statistical Methods provides a discussion of the principles of the organization and technique of research, with emphasis on its application to the problems in social statistics.

This book discusses branch statistics, which aims to develop practical ways of collecting and processing numerical data and to adapt general statistical methods to the. Statistical methods are used to draw valid conclusions from research data. This chapter provides basic information about the fundamental concepts and methods of biostatistics.

George W Snedecor was an American mathematician and statistician. He contributed to the foundations of analysis of variance, data analysis, experimental design, and statistical methodology. Snedecor's F-distribution and the George W. Snedecor Award of the American Statistical Association are named after him.

Statistical Methods, Third Edition, provides students with a working introduction to statistical methods offering a wide range of applications that emphasize the quantitative skills useful across many academic disciplines.

This text takes a classic approach that emphasizes concepts and techniques for working out problems and intepreting results. In the various methods of the study of comparative education the following are noteworthy Quantitative, Descriptive, Sociological, Historical, Analytical and Synthetic.

The Quantitative of Statistical Method: The study of comparative education we analyse the similarities and factors inherent in the education systems of various countries. Hence, it is necessary to use the. Probabilistic modeling and statistical techniques relevant for economics.

Concepts include: probability trees, conditional probability, random variables, discrete and continuous distributions, correlation, central limit theorems, point estimation, hypothesis testing and confidence intervals for both one and two populations.

Prerequisite: MATH 20 or equivalent. Statistical Phylogenetics: Comparative methods Instructor Cecile Ane Office Medical Science Center or Birge Hall Phone or email [email protected] Times TR in MSC Textbook The comparative method in Evolutionary Biology, by Harvey and Pagel. We will complement this book with readings in the scientific File Size: 82KB.

The text does a very nice job of guiding the reader from simpler to more complex analytical tools used in the field of comparative phylogenetic methods. While keeping with complex models and statistical methods, the text nicely captures the range of possible comparative methods with accessible language.5/5(2).

Get this from a library. Statistical methods for comparative studies: techniques for bias reduction. [Sharon Anderson;] -- Brings together techniques for the design and analysis of comparative studies.

Methods include multivariate matching, standardization and stratification, analysis of covariance, logit analysis, and.

The comparative method is defined and analyzed in terms of its similarities and differences vis-à-vis the experimental and statistical methods.

The principal difficulty facing the comparative method is that it must generalize on the basis of relatively few empirical cases. Four specific ways in which this difficulty may be resolved are Cited by: GIS and Geostatistical Techniques for Groundwater Science provides a detailed synthesis of the application of GIS and geostatistics in groundwater studies.

As the book illustrates, GIS can be a powerful tool for developing solutions for water resource problems, assessing water quality, and managing water resources.In statistics, qualitative comparative analysis (QCA) is a data analysis technique for determining which logical conclusions a data set supports.

The analysis begins with listing and counting all the combinations of variables observed in the data set, followed by applying the rules of logical inference to determine which descriptive inferences or implications the data supports.