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Books in Research techniques and statistics

  • Milestone Moments in Getting your PhD in Qualitative Research

    • 1st Edition
    • August 5, 2015
    • Margaret Zeegers + 1 more
    • English
    Milestone Moments in Getting your PhDin Qualitative Research is a guide for research students completing higher degrees with a focus on the importance of language and terminology of the theoretical and practical requirements of a given research program. The book responds to a lack of preparedness among many entrants into higher-degrees in contemporary higher education. The need among non-traditional entrants into higher-degrees for a strong background in core academic principles is made pressing due to the lack of preparation many students undergo prior to enrolment. This book might be consulted by research students as they proceed through the various milestones that may form part of a higher-degree.

  • Analysis of Qualitative Data

    New Developments
    • 1st Edition
    • Volume 2
    • June 28, 2014
    • Shelby J. Haberman
    • English
    Analysis of Qualitative Data, Volume 2: New Developments focuses on the variety of models used in the analysis of qualitative data. The book first elaborates on multinomial response models and incomplete tables. Discussions focus on models for incomplete tables with ordered categories, incomplete two-way tables and migration, multinomial response models for one or more continuous independent variables, and multinomial response models for two-way tables. The book also reviews symmetrical tables and adjustment of data, including the adjustment of marginal totals using unsaturated models, symmetry models for multi-way tables, and distance models. The publication ponders on latent-class models, as well as models with several latent variables, iterative proportional fitting and latent-class models, maximum likelihood equations for the traditional latent-class model, and the scoring algorithm. The manuscript is a vital reference for researchers interested in the models used in the analysis of qualitative data.

  • Sampling Source Book

    A Indexed Bibliography of the Literature of Sampling
    • 1st Edition
    • October 22, 2013
    • C L Thomas
    • English
    The Sampling Source Book is an invaluable guide to the world's literature on sampling and provides a timely and much needed focus on what is a diverse and important subject. Based on an exhaustive search of the world's literature, this index containsbibliographi... references to journal articles, patents, conference proceedings, books, technical reports and standards. Details of databases searched and outlines are provided as to how the searches were conducted to facilitate update of the data by usersof the index. The material contained in this source book has been assessed by specialists in sampling operations; assuring relevance of the material included. Comprehensive lists of suppliers of sampling equipment, consultants and professional bodieswith expertise and interests in sampling are also presented.

  • The Critical Assessment of Research

    Traditional and New Methods of Evaluation
    • 1st Edition
    • February 12, 2010
    • Alan Bailin + 1 more
    • English
    This book examines the following factors: sponsorship of research, control of the dissemination of research, effects of dominant research paradigms, financial interests of authors, publishers, and editors, role of new technologies (for example, Web 2.0).It is widely accepted among researchers and educators that the peer review process, the reputation of the publisher and examination of the author's credentials are the gold standards for assessing the quality of research and information. However, the traditional gold standards are not sufficient, and the effective evaluation of information requires the consideration of additional factors. Controversies about positive evaluations of new medications that appear in peer-reviewed journals, the financial reports on Enron prior to the revelations that led to its collapse, and obstacles to the publication of research that does not conform to dominant paradigms are just a few examples that indicate the need for a more sophisticated and nuanced approach to evaluating information.Each of the factors is discussed in a factual manner, supported by many examples that illustrate not only the nature of the issues but also their complexity. Practical suggestions for the evaluation of information are an integral part of the text.

  • Laboratory Experiments in the Social Sciences

    • 1st Edition
    • July 3, 2007
    • Murray Webster + 1 more
    • English
    Laboratory Experiments in the Social Sciences is the only book providing core information for researchers about the ways and means to conduct experiments. Its comprehensive regard for laboratory experiments encompasses “how-to” explanations, investigations of philosophies and ethics, explorations of experiments in specific social science disciplines, and summaries of both the history and future of social science laboratories. No other book offers such a direct avenue to enlarging our knowledge in the social sciences.This collection of original chapters combines instructions and advice about the design of laboratory experiments in the social sciences with the array of other issues. While there are books on experimental design and chapters in more general methods books on design, theory, and ethical issues, no other book attempts to discuss the fundamental ideas of the philosophy of science or lays out the methods comprehensively or in such detail. Experimentation has recently prospered because of increasing interest in cross-disciplinary syntheses, and this book of advice, guidelines, and observations underline its potential and increasing importance.

  • Writing and Presenting in English

    The Rosetta Stone of Science
    • 1st Edition
    • March 31, 2006
    • Petey Young
    • English
    The Rosetta Stone of Science is a useful and practical guide to presenting scientific research in the English language. It is written specifically for scientists who would like to improve the effectiveness with which they use the English language and improve their communicative skills in order to become published and develop more confidence in presenting their work at international conferences.Part 1 of the book covers the style preferred by today's leading journals, discusses how to prepare models for writing research papers, and provides advice for writing abstracts, proposals, and editing. Examples of cover letters are also given. Part 2 discusses the various arts and techniques used by successful presenters at scientific conferences. The content of the book is presented in a light, simple and informative manner making The Rosetta Stone of Science an entertaining and instructive read. This book will prove invaluable to all scientists, research fellows, post-docs, and graduate students whose first language is not English.

  • Statistical Design - Chemometrics

    • 1st Edition
    • Volume 25
    • January 27, 2006
    • Roy E Bruns + 2 more
    • English
    Statistical Design-Chemometrics is applicable to researchers and professionals who wish to perform experiments in chemometrics and carry out analysis of the data in the most efficient way possible. The language is clear, direct and oriented towards real applications. The book provides 106 exercises with answers to accompany the study of theoretical principles. Forty two cases studies with real data are presented showing designs and the complete statistical analyses for problems in the areas chromatography, electroanalytical and electrochemistry, calibration, polymers, gas adsorption, semiconductors, food technology, biotechnology, photochemistry, catalysis, detergents and ceramics. These studies serve as a guide that the reader can use to perform correct data analyses.

  • An Introduction to Wavelets and Other Filtering Methods in Finance and Economics

    • 1st Edition
    • September 12, 2001
    • Ramazan Gençay + 2 more
    • English
    An Introduction to Wavelets and Other Filtering Methods in Finance and Economics presents a unified view of filtering techniques with a special focus on wavelet analysis in finance and economics. It emphasizes the methods and explanations of the theory that underlies them. It also concentrates on exactly what wavelet analysis (and filtering methods in general) can reveal about a time series. It offers testing issues which can be performed with wavelets in conjunction with the multi-resolution analysis. The descriptive focus of the book avoids proofs and provides easy access to a wide spectrum of parametric and nonparametric filtering methods. Examples and empirical applications will show readers the capabilities, advantages, and disadvantages of each method.

  • Handbook of Applied Multivariate Statistics and Mathematical Modeling

    • 1st Edition
    • April 26, 2000
    • Howard E.A. Tinsley + 1 more
    • English
    Multivariate statistics and mathematical models provide flexible and powerful tools essential in most disciplines. Nevertheless, many practicing researchers lack an adequate knowledge of these techniques, or did once know the techniques, but have not been able to keep abreast of new developments. The Handbook of Applied Multivariate Statistics and Mathematical Modeling explains the appropriate uses of multivariate procedures and mathematical modeling techniques, and prescribe practices that enable applied researchers to use these procedures effectively without needing to concern themselves with the mathematical basis. The Handbook emphasizes using models and statistics as tools. The objective of the book is to inform readers about which tool to use to accomplish which task. Each chapter begins with a discussion of what kinds of questions a particular technique can and cannot answer. As multivariate statistics and modeling techniques are useful across disciplines, these examples include issues of concern in biological and social sciences as well as the humanities.

  • Regression Analysis for Social Sciences

    • 1st Edition
    • June 25, 1998
    • Alexander von Eye + 1 more
    • English
    Regression Analysis for Social Sciences presents methods of regression analysis in an accessible way, with each method having illustrations and examples. A broad spectrum of methods are included: multiple categorical predictors, methods for curvilinear regression, and methods for symmetric regression. This book can be used for courses in regression analysis at the advanced undergraduate and beginning graduate level in the social and behavioral sciences. Most of the techniques are explained step-by-step enabling students and researchers to analyze their own data. Examples include data from the social and behavioral sciences as well as biology, making the book useful for readers with biological and biometrical backgrounds. Sample command and result files for SYSTAT are included in the text.