basic content analysis quantitative applications in the social sciences

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Basic Content Analysis

Author : Robert Philip Weber
ISBN : 0803938632
Genre : Language Arts & Disciplines
File Size : 64. 38 MB
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This second edition of Basic Content Analysis is completely updated and offers a concise introduction to content analysis methods from a social science perspective. It includes new computer applications, new studies and an additional chapter on problems and issues that can arise when carrying out content analysis in four major areas: measurement, indication, representation and interpretation.

Basic Content Analysis

Author : Robert Philip Weber
ISBN : UCSC:32106018152428
Genre : Language Arts & Disciplines
File Size : 63. 14 MB
Format : PDF, Kindle
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This second edition of Basic Content Analysis is completely updated and offers a concise introduction to content analysis methods from a social science perspective. It includes new computer applications, new studies and an additional chapter on problems and issues that can arise when carrying out content analysis in four major areas: measurement, indication, representation and interpretation.

Basic Content Analysis

Author : Robert Philip Weber
ISBN : UOM:39015035339236
Genre : Language Arts & Disciplines
File Size : 50. 62 MB
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Weber gives a clear and concise introduction to content analysis, with a deliberate emphasis on recent advances which have not been covered or stressed elsewhere. Interest in content analysis has been renewed by the introduction of cheaper microcomputers and cost-effective devices for making text machine-readable, and the general reduction of computer costs. Addressing human and computer modes of content classification, the book covers the reliability and validity of these coding procedures and their associated category schemes. A step-by-step procedure for developing, testing, and applying a set of content categories is presented. The concluding chapter addresses some unresolved problems, and shows an example of an experimental, artificial intelligence system for text understanding.

Mediation Analysis

Author : Dawn Iacobucci
ISBN : 9781412925693
Genre : Mathematics
File Size : 77. 48 MB
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Social science data analysts have long considered the mediation of intermediate variables of primary importance in understanding individuals' social, behavioural and other kinds of outcomes. In this book Dawn Iacobucci uses the method known as structural equation modeling (SEM) in modeling mediation in causal analysis. This approach offers the most flexibility and allows the researcher to deal with mediation in the presence of multiple measures, mediated moderation, and moderated mediation, among other variations on the mediation theme. The wide availability of software implementing SEM gives the reader necessary tools for modeling mediation so that a proper understanding of causal relationship is achieved.

Quantitative Narrative Analysis

Author : Roberto Franzosi
ISBN : 9781412925259
Genre : Language Arts & Disciplines
File Size : 88. 13 MB
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Quantitative Narrative Analysis focuses on the following issues: 1. the fundamental features of narrative (as a specific type of text genre with certain invariant linguistic properties); 2. how the invariant properties of narrative can be used to structure narrative information in ways that basic qualitative information can then be analyzed quantitatively (story grammars, or Subject-Action-Object and respective modifiers, such as Time and Space of Action); 3. reliability (and how the computer and linguistic framework of the approach greatly increase data reliability); 4. data analysis (the book does not focus on general problems of data analysis, it will show how textual data can be analyzed with numbers).

Principal Components Analysis

Author : George H. Dunteman
ISBN : 0803931042
Genre : Mathematics
File Size : 38. 97 MB
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For anyone in need of a concise, introductory guide to principal components analysis, this book is a must. Through an effective use of simple mathematical-geometrical and multiple real-life examples (such as crime statistics, indicators of drug abuse, and educational expenditures) -- and by minimizing the use of matrix algebra -- the reader can quickly master and put this technique to immediate use.

Meta Analysis

Author : Fredric Marc Wolf
ISBN : 0803927568
Genre : Medical
File Size : 55. 20 MB
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Meta-Analysis shows concisely, yet comprehensively, how to apply statistical methods to achieve a literature review of a common research domain. It demonstrates the use of combined tests and measures of effect size to synthesize quantitatively the results of independent studies for both group differences and correlations. Strengths and weaknesses of alternative approaches, as well as of meta-analysis in general, are presented.

Latent Class Analysis

Author : Allan L. McCutcheon
ISBN : 0803927525
Genre : Mathematics
File Size : 46. 5 MB
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Latent class analysis is a powerful tool for analyzing the structure of relationships among categorically scored variables. It enables researchers to explore the suitability of combining two or more categorical variables into typologies or scales. It also provides a method for testing hypotheses regarding the latent structure among categorical variables.

Cluster Analysis

Author : Mark S. Aldenderfer
ISBN : 0803923767
Genre : Mathematics
File Size : 64. 56 MB
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Although clustering--the classifying of objects into meaningful sets--is an important procedure, cluster analysis as a multivariate statistical procedure is poorly understood. This volume is an introduction to cluster analysis for professionals, as well as advanced undergraduate and graduate students with little or no background in the subject. Reaching across disciplines, Aldenderfer and Blashfield pull together the newest information on cluster analysis--providing the reader with a pragmatic guide to its current uses, statistical techniques, validation methods, and compatible software programs.

Applied Logistic Regression Analysis

Author : Scott Menard
ISBN : 0761922083
Genre : Mathematics
File Size : 55. 88 MB
Format : PDF
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The focus in this Second Edition is on logistic regression models for individual level (but aggregate or grouped) data. Multiple cases for each possible combination of values of the predictors are considered in detail and examples using SAS and SPSS included. New to this edition: · More detailed consideration of grouped as opposed to casewise data throughout the book · Updated discussion of the properties and appropriate use of goodness of fit measures, R2 analogues, and indices of predictive efficiency · Discussion of the misuse of odds ratios to represent risk ratios, and of overdispersion and underdispersion for grouped data · Updated coverage of unordered and ordered polytomous logistic regression models.

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