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Books in Research techniques and statistics

  • Milestone Moments in Getting your PhD in Qualitative Research

    • 1st Edition
    • 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.
  • Multilevel Analysis of Educational Data

    • 1st Edition
    • R. Darrell Bock
    • English
    Multilevel Analysis of Educational Data focuses on the principles and procedures used in the evaluation of educational progress. The selection first offers information on some applications of multilevel models to educational data, empirical Bayes methods, and a hierarchical item-response model for educational testing. Discussions focus on the interface between levels, group-level model for content elements, an application of empirical Bayes, validity generalization, improving law school validity studies, and summarizing evidence in randomized experiments on coaching. The text then takes a look at difficulties with Bayesian inference for random effects and multilevel aspects of varying parameters in structural models. The book elaborates on models for multilevel response variables with an application to growth curves and the issues and problems emerging from the application of multilevel models in British studies of school effectiveness, including enduring questions, two-level models, estimation and prediction, and econometric random coefficient modeling. The selection is a dependable reference for educators and researchers interested in the evaluation of educational progress.
  • Analysis of Qualitative Data

    New Developments
    • 1st Edition
    • Volume 2
    • 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
    • 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.
  • Research Methods in Human Skeletal Biology

    • 1st Edition
    • Elizabeth A. DiGangi + 1 more
    • English
    Research Methods in Human Skeletal Biology serves as the one location readers can go to not only learn how to conduct research in general, but how research is specifically conducted within human skeletal biology. It outlines the current types of research being conducted within each sub-specialty of skeletal biology, and gives the reader the tools to set up a research project in skeletal biology. It also suggests several ideas for potential projects. Each chapter has an inclusive bibliography, which can serve as a good jumpstart for project references.
  • The Critical Assessment of Research

    Traditional and New Methods of Evaluation
    • 1st Edition
    • 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.
  • Handbook of Longitudinal Research

    Design, Measurement, and Analysis
    • 1st Edition
    • Scott Menard
    • English
    Longitudinal research is a broad field in which substantial advances have been made over the past decade. Unlike many of the existing books that only address the analysis of information. The Handbook of Longitudinal Research covers design and measurement as well as the data analysis. Designed for use by a wide-ranging audience, this Handbook not only includes perspective on the methodological and data analysis problems in longitudinal research but it also includes contributors' data sets that enable readers who lack sophisticated statistics skills to move from theories about longitudinal data into practice. As the comprehensive reference, this Handbook has no direct competition as most books in this subject area are more narrowly specialized and are pitched at a high mathematical level.
  • Laboratory Experiments in the Social Sciences

    • 1st Edition
    • 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
    • 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
    • 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.
  • Handbook of Applied Multivariate Statistics and Mathematical Modeling

    • 1st Edition
    • 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.
  • Multivariate Analysis of Data in Sensory Science

    • 1st Edition
    • Volume 16
    • T. Naes + 1 more
    • English
    The state-of-the-art of multivariate analysis in sensory science is described in this volume. Both methods for aggregated and individual sensory profiles are discussed. Processes and results are presented in such a way that they can be understood not only by statisticians but also by experienced sensory panel leaders and users of sensory analysis.The techniques presented are focused on examples and interpretation rather than on the technical aspects, with an emphasis on new and important methods which are possibly not so well known to scientists in the field. Important features of the book are discussions on the relationship among the methods with a strong accent on the connection between problems and methods. All procedures presented are described in relation to sensory data and not as completely general statistical techniques.Sensory scientists, applied statisticians, chemometricians, those working in consumer science, food scientists and agronomers will find this book of value.
  • The Data Analysis Handbook

    • 1st Edition
    • Volume 14
    • I.E. Frank + 1 more
    • English
    Analyzing observed or measured data is an important step in applied sciences. The recent increase in computer capacity has resulted in a revolution both in data collection and data analysis. An increasing number of scientists, researchers and students are venturing into statistical data analysis; hence the need for more guidance in this field, which was previously dominated mainly by statisticians.This handbook fills the gap in the range of textbooks on data analysis. Written in a dictionary format, it will serve as a comprehensive reference book in a rapidly growing field. However, this book is more structured than an ordinary dictionary, where each entry is a separate, self-contained entity. The authors provide not only definitions and short descriptions, but also offer an overview of the different topics. Therefore, the handbook can also be used as a companion to textbooks for undergraduate or graduate courses.1700 entries are given in alphabetical order grouped into 20 topics and each topic is organized in a hierarchical fashion. Additional specific entries on a topic can be easily found by following the cross-references in a top-down manner. Several figures and tables are provided to enhance the comprehension of the topics and a list of acronyms helps to locate the full terminologies. The bibliography offers suggestions for further reading.
  • Correspondence Analysis in the Social Sciences

    • 1st Edition
    • Michael Greenacre + 1 more
    • English
    Correspondence Analysis in the Social Sciences gives a comprehensive description of this method of data visualization as well as numerous applications to a wide range of social science data. Various theoretical aspects are presented in a language accessible to both social scientists and statisticians and a wide variety of applications are given which demonstrate the versatility of the method to interpret tabular data in a unique graphical way.
  • Experimental Design: A Chemometric Approach

    • 2nd Edition
    • Volume 11
    • S.N. Deming + 1 more
    • English
    Now available is the second edition of a book which has been described as "...an exceptionally lucid, easy-to-read presentation... would be an excellent addition to the collection of every analytical chemist. I recommend it with great enthusiasm." (Analytical Chemistry)N.R. Draper reviewed the first edition in Publication of the International Statistical Institute "...discussion is careful, sensible, amicable, and modern and can be recommended for the intended readership."The scope of the first edition has been revised, enlarged and expanded. Approximately 30% of the text is new. The book first introduces the reader to the fundamentals of experimental design. Systems theory, response surface concepts, and basic statistics serve as a basis for the further development of matrix least squares and hypothesis testing. The effects of different experimental designs and different models on the variance-covariance matrix and on the analysis of variance (ANOVA) are extensively discussed. Applications and advanced topics (such as confidence bands, rotatability, and confounding) complete the text. Numerous worked examples are presented.The clear and practical approach adopted by the authors makes the book applicable to a wide audience. It will appeal particularly to those with a practical need (scientists, engineers, managers, research workers) who have completed their formal education but who still need to know efficient ways of carrying out experiments. It will also be an ideal text for advanced undergraduate and graduate students following courses in chemometrics, data acquisition and treatment, and design of experiments.
  • Statistical Methods for Meta-Analysis

    • 1st Edition
    • Larry V. Hedges + 1 more
    • English
    The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis , and we do not deal with these. Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader.Throughout the book we describe computational procedures whenever required. Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package.