Sequential analysis and observational methods for the behavioral sciences
Behavioral scientists - including those in psychology, infant and child development, education, animal behavior, marketing and usability studies - use many methods to measure behavior. Systematic observation is used to study relatively natural, spontaneous behavior as it unfolds sequentially in time...
| Other Authors: | , |
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| Format: | eBook |
| Language: | Inglés |
| Published: |
Cambridge :
Cambridge University Press
2011.
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| Edition: | 1st ed |
| Subjects: | |
| See on Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009797993906719 |
Table of Contents:
- Cover; SEQUENTIAL ANALYSIS AND OBSERVATIONAL METHODS FOR THE BEHAVIORAL SCIENCES; Title; Copyright; CONTENTS; FIGURES; PREFACE; 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 CODESCODES VERSUS RATING SCALES; THE 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; A SEQUENTIAL DATA INTERCHANGE STANDARD (SDIS); REPRESENTING TIME; SINGLE-CODE EVENT SEQUENCES; TIMED-EVENT AND STATE SEQUENCES
- INTERVAL AND MULTICODE EVENT SEQUENCESA 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; THE 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 AgreementEVENT-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 The 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
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