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Random Factors In Anova

Author: Sally Ann Jackson
Publisher: SAGE
ISBN: 9780803950900
Size: 24.60 MB
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When using the analysis of variance (ANOVA) in an experimental design, how can the researcher determine whether to treat a factor as fixed or random? This book provides the reader with the criteria to make the distinction between fixed and random levels among factors, an important decision that directly reflects the purpose of the research. In addition to exploring the varied roles random factors can play in social research, the authors provide a discussion of the statistical analyses required with random factors and give an overview of computer-assisted analysis of random factor designs using SAS and SPSSX.

The Sage Encyclopedia Of Social Science Research Methods

Author: Michael Lewis-Beck
Publisher: SAGE
ISBN: 9780761923633
Size: 26.81 MB
Format: PDF, ePub, Mobi
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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.

Discovering Statistics Using Spss For Windows

Author: Andy P. Field
Publisher: SAGE
ISBN: 0761957553
Size: 12.48 MB
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Andy Field draws on his experience of teaching advanced statistics to extend existing SPSS windows texts to a higher level. He covers ANOVA, MANOVA, logistic regression, comparing means tests and factor analysis.

Knowledge Factors

Author: Felix J. Schmitz-Justen
Publisher: Peter Lang Pub Incorporated
ISBN:
Size: 55.61 MB
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Knowledge is becoming more and more important as an individual good, and as a social and economic resource. The research project outlined in this publication focuses on the question how knowledge processes can be optimally stimulated in the cooperative context of forum-based Online Knowledge Communities (OKCs). Starting point of the research is a literature review and the outline of individual hypotheses on the basis of an interdisciplinary body of research from the fields of computer and management science. Following the literature review, an empirical study is presented and discussed. The empirical part is founded on an Univariate Analysis of Variance (ANOVA)-based calculation of knowledge process contribution values and a Structural Equation Model analysis (SEM)-based hypotheses test of individual factors of impact on individuals' knowledge process contributions. The publication integrates existing, fragmented research into an integrated model of forum-based collaborative knowledge management.

Longitudinal And Panel Data

Author: Edward W. Frees
Publisher: Cambridge University Press
ISBN: 9780521535380
Size: 54.64 MB
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An introduction to foundations and applications for quantitatively oriented graduate social-science students and individual researchers.

The Association Graph And The Multigraph For Loglinear Models

Author: Harry J. Khamis
Publisher: SAGE
ISBN: 1452238952
Size: 26.94 MB
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The Association Graph and the Multigraph for Loglinear Models will help students, particularly those studying the analysis of categorical data, to develop the ability to evaluate and unravel even the most complex loglinear models without heavy calculations or statistical software. This supplemental text reviews loglinear models, explains the association graph, and introduces the multigraph to students who may have little prior experience of graphical techniques, but have some familiarity with categorical variable modeling. The author presents logical step-by-step techniques from the point of view of the practitioner, focusing on how the technique is applied to contingency table data and how the results are interpreted.

Multilevel Modeling

Author: Douglas A. Luke
Publisher: SAGE
ISBN: 9780761928799
Size: 51.72 MB
Format: PDF, Kindle
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A practical introduction to multi-level modelling, this book offers an introduction to HLM & illustrations of how to use this technique to build models for hierarchical & longitudinal data.

Anova

Author: Ellen R. Girden
Publisher: SAGE
ISBN: 9780803942578
Size: 63.89 MB
Format: PDF, ePub
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Focusing on situations in which analysis of variance (ANOVA) involving the repeated measurement of separate groups of individuals is needed, Girden reveals the advantages, disadvantages, and counterbalancing issues of repeated measures situations. Using additive and nonadditive models to guide the analysis in each chapter, the book covers such topics as the rationale for partitioning the sum of squares, detailed analyses to facilitate the interpretation of computer printouts, the rationale for the F ratios in terms of expected means squares, validity assumptions for sphericity or circularity and approximate tests to perform when sphericity is not met.

Internet Data Collection

Author: Samuel J. Best
Publisher: SAGE
ISBN: 9780761927105
Size: 12.19 MB
Format: PDF, ePub, Docs
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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.

Applied Regression Analysis And Generalized Linear Models

Author: John Fox
Publisher: SAGE Publications
ISBN: 1483321312
Size: 76.36 MB
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Combining a modern, data-analytic perspective with a focus on applications in the social sciences, the Third Edition of Applied Regression Analysis and Generalized Linear Models provides in-depth coverage of regression analysis, generalized linear models, and closely related methods, such as bootstrapping and missing data. Updated throughout, this Third Edition includes new chapters on mixed-effects models for hierarchical and longitudinal data. Although the text is largely accessible to readers with a modest background in statistics and mathematics, author John Fox also presents more advanced material in optional sections and chapters throughout the book.