Methodological Variance
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| Author | : G.L. Pandit |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 451 |
| Release | : 2012-12-06 |
| Genre | : Science |
| ISBN | : 9401131740 |
For a philosopher with an abiding interest in the nature of objective knowledge systems in science, what could be more important than trying to think in terms of those very subjects of such knowledge to which men like Galileo, Newton, Max Planck, Einstein and others devoted their entire lifetimes? In certain respects, these systems and their structures may not be beyond the grasp of a linguistic conception of science, and scientific change, which men of science and philosophy have advocated in various forms in recent times. But certainly it is wrong-headed to think that one's conception of science can be based on an identification of its theories with languages in which they may be, my own alternatively, framed. There may be more than one place in book (1983: 87) where they may seem to get confused with each other, quite against my original intentiens. The distinction between the objec tive knowledge systems in science and the dynamic frameworks of the languages of the special individual sciences, in which their growth can be embedded in significant ways, assumes here, therefore, much impor tance. It must be recognized that the problems concerning scientific change, which these systems undergo, are not just problems concerning language change.
| Author | : Neil J. Salkind |
| Publisher | : SAGE |
| Total Pages | : 1779 |
| Release | : 2010-06-22 |
| Genre | : Philosophy |
| ISBN | : 1412961270 |
"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.
| Author | : Robert K. Leik |
| Publisher | : SAGE Publications |
| Total Pages | : 209 |
| Release | : 1997-04-19 |
| Genre | : Social Science |
| ISBN | : 1452250359 |
Why is this Book a Useful Supplement for Your Statistics Course? Most core statistics texts cover subjects like analysis of variance and regression, but not in much detail. This book, as part of our Series in Research Methods and Statistics, provides you with the flexibility to cover ANOVA more thoroughly, but without financially overburdening your students.
| Author | : Michael E. Whitman |
| Publisher | : IGI Global |
| Total Pages | : 370 |
| Release | : 2004-01-01 |
| Genre | : Computers |
| ISBN | : 9781591402282 |
With the quantity and quality of available works in Information Systems (IS) research, it would seem advantageous to possess a concise list of exemplary works on IS research, in order to enable instructors of IS research courses to better prepare students to publish in IS venues. To that end, The Handbook of Information Systems Research provides a collection of works on a variety of topics related to IS research. This book provides a fresh perspective on issues related to IS research by providing chapters from world-renowned leaders in IS research along with chapters from relative newcomers who bring some interesting and often new perspectives to IS research. This book should serve as an excellent text for a graduate course on IS research methods.
| Author | : Hardeo Sahai |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 493 |
| Release | : 2007-07-03 |
| Genre | : Mathematics |
| ISBN | : 0817644253 |
Systematic treatment of the commonly employed crossed and nested classification models used in analysis of variance designs with a detailed and thorough discussion of certain random effects models not commonly found in texts at the introductory or intermediate level. It also includes numerical examples to analyze data from a wide variety of disciplines as well as any worked examples containing computer outputs from standard software packages such as SAS, SPSS, and BMDP for each numerical example.
| Author | : Kirk Wolter |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 504 |
| Release | : 2003-11-14 |
| Genre | : Education |
| ISBN | : 9780387406220 |
Now available in paperback, this book is organized in a way that emphasizes both the theory and applications of the various variance estimating techniques. Results are often presented in the form of theorems; proofs are deleted when trivial or when a reference is readily available. It applies to large, complex surveys; and to provide an easy reference for the survey researcher who is faced with the problem of estimating variances for real survey data.
| Author | : Hardeo Sahai |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 520 |
| Release | : 2004-05-27 |
| Genre | : Mathematics |
| ISBN | : 9780817632304 |
Analysis of variance (ANOVA) models have become widely used tools and play a fundamental role in much of the application of statistics today. In particular, ANOVA models involving random effects have found widespread application to experimental design in a variety of fields requiring measurements of variance, including agriculture, biology, animal breeding, applied genetics, econometrics, quality control, medicine, engineering, and social sciences. This two-volume work is a comprehensive presentation of different methods and techniques for point estimation, interval estimation, and tests of hypotheses for linear models involving random effects. Both Bayesian and repeated sampling procedures are considered. Volume I examines models with balanced data (orthogonal models); Volume II studies models with unbalanced data (nonorthogonal models). Features and Topics: * Systematic treatment of the commonly employed crossed and nested classification models used in analysis of variance designs * Detailed and thorough discussion of certain random effects models not commonly found in texts at the introductory or intermediate level * Numerical examples to analyze data from a wide variety of disciplines * Many worked examples containing computer outputs from standard software packages such as SAS, SPSS, and BMDP for each numerical example * Extensive exercise sets at the end of each chapter * Numerous appendices with background reference concepts, terms, and results * Balanced coverage of theory, methods, and practical applications * Complete citations of important and related works at the end of each chapter, as well as an extensive general bibliography Accessible to readers with only a modest mathematical and statistical background, the work will appeal to a broad audience of students, researchers, and practitioners in the mathematical, life, social, and engineering sciences. It may be used as a textbook in upper-level undergraduate and graduate courses, or as a reference for readers interested in the use of random effects models for data analysis.
| Author | : James Jaccard |
| Publisher | : SAGE Publications |
| Total Pages | : 108 |
| Release | : 2003-03-05 |
| Genre | : Social Science |
| ISBN | : 1544332572 |
Interaction Effects in Multiple Regression has provided students and researchers with a readable and practical introduction to conducting analyses of interaction effects in the context of multiple regression. The new addition will expand the coverage on the analysis of three way interactions in multiple regression analysis.
| Author | : David J. Weiss |
| Publisher | : Oxford University Press |
| Total Pages | : 278 |
| Release | : 2005-11-24 |
| Genre | : Psychology |
| ISBN | : 019534605X |
This book is a clear and straightforward guide to analysis of variance, the backbone of experimental research. It will show you how to interpret statistical results and translate them into prose that will clearly tell your audience what your data is saying. To help you become familiar with the techniques used in analysis of variance, there are plenty of end-of-chapter practice problems with suggested answers. As life in the laboratory doesnt always follow a script, there are both new and established techniques for coping with situations that deviate from the norm. Data analysis is not a closed subject, so there are pros and cons for the varied situations you will encounter. The final chapter gives the first elementary presentation of functional measurement, or information integration theory, a methodology built upon analysis of variance that is a powerful technique for studying cognitive processes. The accompanying CD contains CALSTAT, analysis of variance software that is easy to use (really!). In addition to programs for standard analysis, the software includes several specialized routines that have heretofore been presented only in journals. Analysis of Variance is an important resource for students and professionals in the social, behavioral, and neurosciences.
| Author | : Ronald Christensen |
| Publisher | : CRC Press |
| Total Pages | : 608 |
| Release | : 1996-06-01 |
| Genre | : Mathematics |
| ISBN | : 9780412062919 |
This text presents a comprehensive treatment of basic statistical methods and their applications. It focuses on the analysis of variance and regression, but also addressing basic ideas in experimental design and count data. The book has four connecting themes: similarity of inferential procedures, balanced one-way analysis of variance, comparison of models, and checking assumptions. Most inferential procedures are based on identifying a scalar parameter of interest, estimating that parameter, obtaining the standard error of the estimate, and identifying the appropriate reference distribution. Given these items, the inferential procedures are identical for various parameters. Balanced one-way analysis of variance has a simple, intuitive interpretation in terms of comparing the sample variance of the group means with the mean of the sample variance for each group. All balanced analysis of variance problems are considered in terms of computing sample variances for various group means. Comparing different models provides a structure for examining both balanced and unbalanced analysis of variance problems and regression problems. Checking assumptions is presented as a crucial part of every statistical analysis. Examples using real data from a wide variety of fields are used to motivate theory. Christensen consistently examines residual plots and presents alternative analyses using different transformation and case deletions. Detailed examination of interactions, three factor analysis of variance, and a split-plot design with four factors are included. The numerous exercises emphasize analysis of real data. Senior undergraduate and graduate students in statistics and graduate students in other disciplines using analysis of variance, design of experiments, or regression analysis will find this book useful.
