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Sequential analysis and observational methods for the behavioral sciences /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Bakeman, Roger
Otros Autores: Quera, Vicenç
Formato: Electrónico eBook
Idioma:Inglés
Publicado: New York : Cambridge University Press, 2011.
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a Bakeman, Roger. 
245 1 0 |a Sequential analysis and observational methods for the behavioral sciences /  |c Roger Bakeman, Vicenç Quera. 
260 |a New York :  |b Cambridge University Press,  |c 2011. 
300 |a 1 online resource (xv, 183 pages) :  |b illustrations 
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504 |a Includes bibliographical references and index. 
588 0 |a Print version record. 
505 0 0 |g Machine generated contents note:  |g 1.  |t Introduction to Observational Methods --  |t Systematic Quantitative Measurement versus Qualitative Narrative --  |t Correlational versus Experimental Designs --  |t Predictor versus Outcome Variables --  |t Variables, Units, and Sessions --  |t Why Use Observational Methods? --  |t Sequential Analysis of Behavior --  |t Summary --  |g 2.  |t Coding Schemes and Observational Measurement --  |t Where Do Coding Schemes Come From? --  |t Must Codes be Mutually Exclusive and Exhaustive? --  |t Granularity: Micro to Macro --  |t Concreteness: Physically to Socially Based Codes --  |t Codes versus Rating Scales --  |t Coding Manual --  |t Summary --  |g 3.  |t Recording Observational Data --  |t Untimed-Event Recording --  |t Timed-Event Recording --  |t Interval Recording --  |t Partial-Interval or One-Zero Sampling --  |t Momentary or Instantaneous Sampling --  |t Whole-Interval Sampling --  |t Selected-Interval Recording --  |t Live Observation versus Recorded Behavior --  |t Digital Recording and Computer-Assisted Coding --  |t Summary --  |g 4.  |t Representing Observational Data --  |t Sequential Data Interchange Standard (SDIS) --  |t Representing Time --  |t Single-Code Event Sequences --  |t Timed-Event and State Sequences --  |t Interval and Multicode Event Sequences --  |t Universal Code-Unit Grid --  |t Alternatives: Spreadsheet and Statistical Package Grids --  |t Data Management and File Formats --  |t Summary --  |g 5.  |t Observer Agreement and Cohen's Kappa --  |t Point-By-Point versus Summary Agreement --  |t Classic Cohen's Kappa --  |t When is Kappa Big Enough? --  |t Is Statistical Significance Useful? --  |t Observer Bias and Kappa Maximum --  |t Observer Accuracy, Number of Codes, and Their Prevalence --  |t Standards for Kappa (Number of Codes Matters) --  |t Comparing an Observer with a Gold Standard --  |t Agreement and Reliability --  |t Errors of Commission and Omission --  |t Summary --  |g 6.  |t Kappas for Point-By-Point Agreement --  |t Event-Based Agreement: The Alignment Problem --  |t Time-Based Agreement: Inflated Counts? --  |t Event-Based Agreement for Timed-Event Sequences --  |t Interval-Based Agreement Using Cohen's Kappa --  |t Weighted Kappa: When Disagreements Differ in Severity --  |t Are All Kappas Overrated? --  |t Summary --  |g 7.  |t Intraclass Correlation Coefficient (ICC) for Summary Measures --  |t Relative versus Absolute Agreement --  |t Targets and Sessions --  |t Relative and Absolute ICCs --  |t Summary --  |g 8.  |t Summary Statistics for Individual Codes --  |t Basic Statistics for Individual Codes --  |t Frequency --  |t Relative Frequency --  |t Rate --  |t Duration --  |t Relative Duration --  |t Probability --  |t Mean Event Durations, Gaps, and Latencies --  |t Mean Event Duration --  |t Mean Gap --  |t Latency --  |t Recommended Statistics for Individual Codes --  |t Summary --  |g 9.  |t Cell and Summary Statistics for Contingency Tables --  |t Individual Cell Statistics --  |t Observed Joint Frequencies and Hierarchical Tallying --  |t Lagged Tallies for Single-Coded Events When Codes Can and Cannot Repeat --  |t Conditional and Transitional Probabilities --  |t Expected Frequencies and Adjusted Residuals --  |t Indices of Association for Two-Dimensional Tables --  |t Contingency Indices for 2x2 Tables --  |t Odds Ratio and Log Odds --  |t Yule's Q --  |t Vulnerability to Zero Cells --  |t Summary --  |g 10.  |t Preparing for Sequential and Other Analyses --  |t Creating New Codes from Existing Codes --  |t Logical Combinations for Timed-Event, Interval, and Multicode Event Data --  |t RECODE for All Data Types --  |t EVENT and BOUT for Timed-Event Data --  |t RECODE, LUMP, and CHAIN for Single-Code Event Data --  |t REMOVE and RENAME for All Data Types --  |t Creating New Codes as "Windows" Anchored to Existing Codes --  |t Pooled versus Individual Analyses --  |t Preparing Export Files and Using Statistical Packages --  |t Deviant Cells, Type I Error, and Winnowing --  |t Summary --  |g 11.  |t Time-Window and Log-Linear Sequential analysis --  |t Time-Window Sequential Analysis of Timed-Event Data --  |t Sign Test: A Nonparametric Alternative --  |t Lag-Sequential and Log-Linear Analysis of Single-Code Event Data --  |t Overlapped and Nonoverlapped Tallying of m-Event Chains --  |t Illustration of Log-Linear Basics --  |t Log-Linear Analysis of Interval and Multicode Event Data --  |t Summary --  |g 12.  |t Recurrence Analysis and Permutation Tests --  |t Recurrence Analysis --  |t Permutation Tests for Short Event Sequences --  |t Summary. 
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700 1 |a Quera, Vicenç. 
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