NEUENDORF KIMBERLY
THE CONTENT ANALYSIS GUIDEBOOK - UK SAGE - 300
978-0761919780
Defining Content Analysis Is Content Analysis "Easy"? Is It Something That Anyone Can Do? Myth . Content analysis is easy. Myth . The term content analysis applies to all examinations of message content. Myth . Anyone can do content analysis; it doesn't take any special preparation. Myth .Content analysis is for academic use only. A Six-Part Definition of Content Analysis .. Content Analysis as Relying on the Scientific Method . The Message as the Unit of Analysis, the Unit of Data Collection, or Both .. Content Analysis as Quantitative . Content Analysis as Summarizing .. Content Analysis as Applicable to All Contexts . All Message Characteristics Are Available to Content Analyze • Milestones in the History of Content Analysis The Growing Popularity of Content Analysis Milestones of Content Analysis Research Rhetorical Analysis Biblical Concordances and the Quantification of History .The Payne Fund Studies The Language of Politics The War at Home: Advances in Social and Behavioral Science Methods During World War II Speech as a Personality Trait Department of Social Relations at Harvard Television Images: Violence and Beyond The Power of Computing The Global Content Analysis Village . Beyond Description: An Integrative Model of Content Analysis The Language of the Scientific Method How Content Analysis Is Done: Flowchart for the Typical Process of Content-Analytic Research Human Coding Versus Computer Coding Approaches to Content Analysis Descriptive Content Analysis Inferential Content Analysis Psychometric Content Analysis Predictive Content Analysis The Integrative Model of Content Analysis Evaluation With the Integrative Model of Content Analysis First-Order Linkage Second-Order Linkage Third-Order Linkage Linking Message and Receiver Data Linking Message and Source Data Developing New Linkages Message Units and Sampling Units Unitizing a Continuous Stream of Information Defining the Population Archives The Evaluation of Archives Medium Management The Brave New Digital World Sampling Random Sampling Nonrandom Sampling Sample Size Variables and Predictions Identifying Critical Variables A Consideration of Universal Variables. Using Theory and Past Research for Variable Collection A Grounded or Emergent Process of Variable Identification Attempting to Find Medium-Specific Critical Variables Hypotheses, Predictions, and Research Questions Conceptual Definitions Hypotheses Research Questions Measurement Techniques Defining Measurement Validity, Reliability, Accuracy, and Precision Reliability Validity Accuracy Precision How the Standards Interrelate Types of Validity Assessment External Validity or Generalizability Face Validity Criterion Validity Content Validity Construct Validity Operationalization Categories or Levels That Are Exhaustive Categories or Levels That Are Mutually Exclusive An Appropriate Level of Measurement Computer Coding Dictionaries for Text Analysis Selection of a Computer Text Content Analysis Program Number of Cases or Units Analyzed Frequency Output Size Limitation Alphabetical Output Multiple-Unit Data File Output KWIC or Concordance Standard Dictionaries Custom Dictionaries Specialty Analyses Human Coding Codebooks and Coding Forms Coder Training The Processes Medium Modality and Coding Some Tips Index Construction in Content Analysis. Reliability Intercodef Reliability Standards and Practices Issues in the Assessment of Reliability Agreement Versus Covariation Reliability as a Function of Coder and Unit Subsamples Threats to Reliability Reliability for Manifest Versus Latent Content Reliability and Unitizing Pilot and Final Reliabilities Intercoder Reliability Coefficients: Issues and Comparisons Agreement Agreement Controlling for the Impact of Chance • Agreement Covariation Calculating Intercoder Reliability Coefficients The Reliability Subsample Subsample Size Sampling Type Assignment of Units to Coders Treatment of Variables That Do Not Achieve an Acceptable Level of Reliability The Use of Multiple Coders Advanced and Specialty Issues.in Reliability Coefficient Selection Beyond Basic Coefficients The Possibility of "Consistency" Intracoder Reliability Assessment Controlling for Covariates Sequential Overlapping Reliability Coding Results and Reporting Data Handling and Transformations Hypothesis Testing Hypotheses and Research Questions—A Reminder Inferential Versus Nonparametric Statistics Selecting the Appropriate Statistical Tests Frequencies Co-Occurrences and In-Context Occurrences Time Lines Bivariate Relationships Multivariate Relationships Contexts Psychometric Applications of Content Analysis Thematic Content Analysis Clinical Applications. Open-Ended Written and Pictorial Responses Linguistics and Semantic Networks Stylometrics and Computer Literary Analysis Interaction Analysis Other Interpersonal Behaviors Violence in the Media Gender Roles Minority Portrayals Advertising News Political Communication Web Analyses Other Applied Contexts Commercial and Other Client-Based Applications of Content Analysis Funded Research Conducted by Academics Commercial Applications of Text Analysis Content Analysis for Standards and Practices Applied Web Analyses Future Directions : Message Archives Paul D. Skalski General Collections Film, Television and Radio Archives Literary and General Corpora Other Archives : Using NEXIS for Text Acquisition for Content Analysis : Computer Content Analysis Software Paul D. Skalski Part I. Quantitative Computer Text Analysis Programs VBPro CATPAC Computer Programs for Text Analysis Concordance. An Introduction to PRAM—A Program for Reliability Assessment With Multiple Coders Resource 5: The Content Analysis Guidebook Online Content Analysis Resources Bibliographies Message Archives and Corpora Reliability Human Coding Sample Materials Computer Content Analysis
301.01
THE CONTENT ANALYSIS GUIDEBOOK - UK SAGE - 300
978-0761919780
Defining Content Analysis Is Content Analysis "Easy"? Is It Something That Anyone Can Do? Myth . Content analysis is easy. Myth . The term content analysis applies to all examinations of message content. Myth . Anyone can do content analysis; it doesn't take any special preparation. Myth .Content analysis is for academic use only. A Six-Part Definition of Content Analysis .. Content Analysis as Relying on the Scientific Method . The Message as the Unit of Analysis, the Unit of Data Collection, or Both .. Content Analysis as Quantitative . Content Analysis as Summarizing .. Content Analysis as Applicable to All Contexts . All Message Characteristics Are Available to Content Analyze • Milestones in the History of Content Analysis The Growing Popularity of Content Analysis Milestones of Content Analysis Research Rhetorical Analysis Biblical Concordances and the Quantification of History .The Payne Fund Studies The Language of Politics The War at Home: Advances in Social and Behavioral Science Methods During World War II Speech as a Personality Trait Department of Social Relations at Harvard Television Images: Violence and Beyond The Power of Computing The Global Content Analysis Village . Beyond Description: An Integrative Model of Content Analysis The Language of the Scientific Method How Content Analysis Is Done: Flowchart for the Typical Process of Content-Analytic Research Human Coding Versus Computer Coding Approaches to Content Analysis Descriptive Content Analysis Inferential Content Analysis Psychometric Content Analysis Predictive Content Analysis The Integrative Model of Content Analysis Evaluation With the Integrative Model of Content Analysis First-Order Linkage Second-Order Linkage Third-Order Linkage Linking Message and Receiver Data Linking Message and Source Data Developing New Linkages Message Units and Sampling Units Unitizing a Continuous Stream of Information Defining the Population Archives The Evaluation of Archives Medium Management The Brave New Digital World Sampling Random Sampling Nonrandom Sampling Sample Size Variables and Predictions Identifying Critical Variables A Consideration of Universal Variables. Using Theory and Past Research for Variable Collection A Grounded or Emergent Process of Variable Identification Attempting to Find Medium-Specific Critical Variables Hypotheses, Predictions, and Research Questions Conceptual Definitions Hypotheses Research Questions Measurement Techniques Defining Measurement Validity, Reliability, Accuracy, and Precision Reliability Validity Accuracy Precision How the Standards Interrelate Types of Validity Assessment External Validity or Generalizability Face Validity Criterion Validity Content Validity Construct Validity Operationalization Categories or Levels That Are Exhaustive Categories or Levels That Are Mutually Exclusive An Appropriate Level of Measurement Computer Coding Dictionaries for Text Analysis Selection of a Computer Text Content Analysis Program Number of Cases or Units Analyzed Frequency Output Size Limitation Alphabetical Output Multiple-Unit Data File Output KWIC or Concordance Standard Dictionaries Custom Dictionaries Specialty Analyses Human Coding Codebooks and Coding Forms Coder Training The Processes Medium Modality and Coding Some Tips Index Construction in Content Analysis. Reliability Intercodef Reliability Standards and Practices Issues in the Assessment of Reliability Agreement Versus Covariation Reliability as a Function of Coder and Unit Subsamples Threats to Reliability Reliability for Manifest Versus Latent Content Reliability and Unitizing Pilot and Final Reliabilities Intercoder Reliability Coefficients: Issues and Comparisons Agreement Agreement Controlling for the Impact of Chance • Agreement Covariation Calculating Intercoder Reliability Coefficients The Reliability Subsample Subsample Size Sampling Type Assignment of Units to Coders Treatment of Variables That Do Not Achieve an Acceptable Level of Reliability The Use of Multiple Coders Advanced and Specialty Issues.in Reliability Coefficient Selection Beyond Basic Coefficients The Possibility of "Consistency" Intracoder Reliability Assessment Controlling for Covariates Sequential Overlapping Reliability Coding Results and Reporting Data Handling and Transformations Hypothesis Testing Hypotheses and Research Questions—A Reminder Inferential Versus Nonparametric Statistics Selecting the Appropriate Statistical Tests Frequencies Co-Occurrences and In-Context Occurrences Time Lines Bivariate Relationships Multivariate Relationships Contexts Psychometric Applications of Content Analysis Thematic Content Analysis Clinical Applications. Open-Ended Written and Pictorial Responses Linguistics and Semantic Networks Stylometrics and Computer Literary Analysis Interaction Analysis Other Interpersonal Behaviors Violence in the Media Gender Roles Minority Portrayals Advertising News Political Communication Web Analyses Other Applied Contexts Commercial and Other Client-Based Applications of Content Analysis Funded Research Conducted by Academics Commercial Applications of Text Analysis Content Analysis for Standards and Practices Applied Web Analyses Future Directions : Message Archives Paul D. Skalski General Collections Film, Television and Radio Archives Literary and General Corpora Other Archives : Using NEXIS for Text Acquisition for Content Analysis : Computer Content Analysis Software Paul D. Skalski Part I. Quantitative Computer Text Analysis Programs VBPro CATPAC Computer Programs for Text Analysis Concordance. An Introduction to PRAM—A Program for Reliability Assessment With Multiple Coders Resource 5: The Content Analysis Guidebook Online Content Analysis Resources Bibliographies Message Archives and Corpora Reliability Human Coding Sample Materials Computer Content Analysis
301.01