Sequential analysis and observational methods for the behavioral sciences

Sequential analysis and observational methods for the behavioral sciences

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Detalles Bibliográficos
Autor principal: Bakeman, Roger (-)
Otros Autores: Quera, Vicenç
Formato: Libro electrónico
Idioma:Inglés
Publicado: New York : Cambridge University Press 2011.
Colección:CUP ebooks.
Acceso en línea:Conectar con la versión electrónica
Ver en Universidad de Navarra:https://innopac.unav.es/record=b39781525*spi
Tabla de Contenidos:
  • 1. Introduction to Observational Methods
  • Systematic Quantitative Measurement versus Qualitative Narrative
  • Correlational versus Experimental Designs
  • Predictor versus Outcome Variables
  • Variables, Units, and Sessions
  • Why Use Observational Methods?
  • Sequential Analysis of Behavior
  • Summary
  • 2. Coding Schemes and Observational Measurement
  • Where Do Coding Schemes Come From?
  • Must Codes be Mutually Exclusive and Exhaustive?
  • Granularity: Micro to Macro
  • Concreteness: Physically to Socially Based Codes
  • Codes versus Rating Scales
  • Coding Manual
  • Summary
  • 3. Recording Observational Data
  • Untimed-Event Recording
  • Timed-Event Recording
  • Interval Recording
  • Partial-Interval or One-Zero Sampling
  • Momentary or Instantaneous Sampling
  • Whole-Interval Sampling
  • Selected-Interval Recording
  • Live Observation versus Recorded Behavior
  • Digital Recording and Computer-Assisted Coding
  • Summary
  • 4. Representing Observational Data
  • Sequential Data Interchange Standard (SDIS)
  • Representing Time
  • Single-Code Event Sequences
  • Timed-Event and State Sequences
  • Interval and Multicode Event Sequences
  • Universal Code-Unit Grid
  • Alternatives: Spreadsheet and Statistical Package Grids
  • Data Management and File Formats
  • Summary
  • 5. Observer Agreement and Cohen's Kappa
  • Point-By-Point versus Summary Agreement
  • Classic Cohen's Kappa
  • When is Kappa Big Enough?
  • Is Statistical Significance Useful?
  • Observer Bias and Kappa Maximum
  • Observer Accuracy, Number of Codes, and Their Prevalence
  • Standards for Kappa (Number of Codes Matters)
  • Comparing an Observer with a Gold Standard
  • Agreement and Reliability
  • Errors of Commission and Omission
  • Summary
  • 6. Kappas for Point-By-Point Agreement
  • Event-Based Agreement: The Alignment Problem
  • Time-Based Agreement: Inflated Counts?
  • Event-Based Agreement for Timed-Event Sequences
  • Interval-Based Agreement Using Cohen's Kappa
  • Weighted Kappa: When Disagreements Differ in Severity
  • Are All Kappas Overrated?
  • Summary
  • 7. Intraclass Correlation Coefficient (ICC) for Summary Measures
  • Relative versus Absolute Agreement
  • Targets and Sessions
  • Relative and Absolute ICCs
  • Summary
  • 8. Summary Statistics for Individual Codes
  • Basic Statistics for Individual Codes
  • Frequency
  • Relative Frequency
  • Rate
  • Duration
  • Relative Duration
  • Probability
  • Mean Event Durations, Gaps, and Latencies
  • Mean Event Duration
  • Mean Gap
  • Latency
  • Recommended Statistics for Individual Codes
  • Summary
  • 9. Cell and Summary Statistics for Contingency Tables
  • Individual Cell Statistics
  • Observed Joint Frequencies and Hierarchical Tallying
  • Lagged Tallies for Single-Coded Events When Codes Can and Cannot Repeat
  • Conditional and Transitional Probabilities
  • Expected Frequencies and Adjusted Residuals
  • Indices of Association for Two-Dimensional Tables
  • Contingency Indices for 2x2 Tables
  • Odds Ratio and Log Odds
  • Yule's Q
  • Vulnerability to Zero Cells
  • Summary
  • 10. Preparing for Sequential and Other Analyses
  • Creating New Codes from Existing Codes
  • Logical Combinations for Timed-Event, Interval, and Multicode Event Data
  • RECODE for All Data Types
  • EVENT and BOUT for Timed-Event Data
  • RECODE, LUMP, and CHAIN for Single-Code Event Data
  • REMOVE and RENAME for All Data Types
  • Creating New Codes as Windows Anchored to Existing Codes
  • Pooled versus Individual Analyses
  • Preparing Export Files and Using Statistical Packages
  • Deviant Cells, Type I Error, and Winnowing
  • Summary
  • 11. Time-Window and Log-Linear Sequential analysis
  • Time-Window Sequential Analysis of Timed-Event Data
  • Sign Test: A Nonparametric Alternative
  • Lag-Sequential and Log-Linear Analysis of Single-Code Event Data
  • Overlapped and Nonoverlapped Tallying of m-Event Chains
  • Illustration of Log-Linear Basics
  • Log-Linear Analysis of Interval and Multicode Event Data
  • Summary
  • 12. Recurrence Analysis and Permutation Tests
  • Recurrence Analysis
  • Permutation Tests for Short Event Sequences
  • Summary.

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