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 : 59. 48 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.

Quantitative Narrative Analysis

Author : Roberto Franzosi
ISBN : 9781412925259
Genre : Language Arts & Disciplines
File Size : 81. 64 MB
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Researchers and students in the social sciences.

Experimental Design And Analysis

Author : Steven R. Brown
ISBN : 0803938543
Genre : Mathematics
File Size : 30. 70 MB
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This volume introduces the reader to one of the most fundamental topics in social science statistics: experimental design. The authors clearly show how to select an experimental design based on the number of independent variables and the number of subjects. Other topics addressed include variability, hypothesis testing, how ANOVA can be extended to the multi-group situation, the logic of the t test and completely randomized designs.

Content Analysis

Author : Klaus Krippendorff
ISBN : 9781506395647
Genre : Language Arts & Disciplines
File Size : 45. 44 MB
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What matters in people’s social lives? What motivates and inspires our society? How do we enact what we know? Since the first edition published in 1980, Content Analysis has helped shape and define the field. In the highly anticipated Fourth Edition, award-winning scholar and author Klaus Krippendorff introduces you to the most current method of analyzing the textual fabric of contemporary society. Students and scholars will learn to treat data not as physical events but as communications that are created and disseminated to be seen, read, interpreted, enacted, and reflected upon according to the meanings they have for their recipients. Interpreting communications as texts in the contexts of their social uses distinguishes content analysis from other empirical methods of inquiry. Organized into three parts, Content Analysis first examines the conceptual aspects of content analysis, then discusses components such as unitizing and sampling, and concludes by showing readers how to trace the analytical paths and apply evaluative techniques. The Fourth Edition has been completely revised to offer you the most current techniques and research on content analysis, including new information on reliability and social media. You will also gain practical advice and experience for teaching academic and commercial researchers how to conduct content analysis.

The Content Analysis Guidebook

Author : Kimberly A. Neuendorf
ISBN : 9781483315072
Genre : Language Arts & Disciplines
File Size : 30. 46 MB
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Content analysis is one of the most important but complex research methodologies in the social sciences. In this thoroughly updated Second Edition of The Content Analysis Guidebook, author Kimberly Neuendorf draws on examples from across numerous disciplines to clarify the complicated aspects of content analysis through step-by-step instruction and practical advice. Throughout the book, the author also describes a wide range of innovative content analysis projects from both academia and commercial research that provide readers with a deeper understanding of the research process and its many real-world applications.

Event History Analysis

Author : Paul D. Allison
ISBN : 0803920555
Genre : Social Science
File Size : 74. 36 MB
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Drawing on recent "event history" analytical methods from biostatistics, engineering, and sociology, this clear and comprehensive monograph explains how longitudinal data can be used to study the causes of deaths, crimes, wars, and many other human events. Allison shows why ordinary multiple regression is not suited to analyze event history data, and demonstrates how innovative regression - like methods can overcome this problem. He then discusses the particular new methods that social scientists should find useful.

Sorting Data

Author : A. P. M. Coxon
ISBN : 9781452215273
Genre : Social Science
File Size : 55. 59 MB
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If you need hints on how to collect, describe, compare and analyze data, you will find them in this handy guide. The author addresses specification elaboration, and sampling of the "domain" or what is to be sorted. There is also help on setting the criterion, the pre-test, administration, and recording of results. The author gives special consideration to problems of categorization illustrated with a real research example.

The Logic Of Causal Order

Author : James A. Davis
ISBN : 0803925530
Genre : Medical
File Size : 54. 47 MB
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This monograph is not statistical. It looks instead at pre-statistical assumptions about dependent variables and causal order. Professor Davis spells out the logical principles that underlie our ideas of causality and explains how to discover causal direction, irrespective of the statistical technique used. He stresses throughout that knowledge of the "real world" is important and repeatedly challenges the myth that causal problems can be solved by statistical calculations alone.

Meta Analysis

Author : Fredric Marc Wolf
ISBN : 0803927568
Genre : Medical
File Size : 73. 69 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.

The Content Analysis Reader

Author : Klaus Krippendorff
ISBN : 9781412949668
Genre : Language Arts & Disciplines
File Size : 69. 63 MB
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Presenting a collection of studies that exemplify what content analysts do and how they solve problems in applying this methodology, this book offers readers additional insights into designing and conducting their own research. It enables readers to learn the process of conducting content analysis research whether used as a companion to Krippendorff's Content Analysis text, as a supplemental text for content analysis courses, or as an introduction to content analysis by examples.

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