Statistics for Applied Behavior Analysis Practitioners and Researchers
-10%
portes grátis
Statistics for Applied Behavior Analysis Practitioners and Researchers
Vladescu, Jason C.; Cox, David J.
Elsevier Science & Technology
06/2023
304
Mole
Inglês
9780323998857
15 a 20 dias
Descrição não disponível.
1. The requisite boring stuff Part I: Defining a statistic and the benefit of numbers 2. The requisite boring stuff Part II: Data types and data distributions 3. How can we describe our data with numbers? Central tendency and point estimates 4. Just how stable is responding? Estimating variability 5. Just how good is my intervention? Statistical significance, effect sizes and social significance 6. Oh, shoot! I forgot about that! Estimating the influence of uncontrolled variables 7. How fast can I get to an answer? Sample size, power, and observing behavior 8. Wait, you mean the clock is always ticking? The unique challenges time adds to statistically analyzing time series data 9. This math and time thing is cool! Time series decomposition and forecasting behavior 10. I suppose I should tell someone about the fun I've had: Chapter checklists for thinking, writing, and presenting statistics 11. Through the looking glass: Probability theory, frequentist statistics and Bayesian statistics
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
ARIMA; Applied behavior analysis; Bayesian statistics; Behavior models; Categorical data; Central tendency; Classification models; Cohen's d; Complex behavior; Confidence intervals; Continuous data; Correlation coefficients; Cyclicity; Data collection; Data measurement; Data trends; Data types; Discrete data; Dynamics; Effect sizes; Epistemology; Exponential smoothing; Forecasting behavior; Frequentist statistics; Hedge's g; Interobserver agreement; Kendall's Tau; Level; Mean; Median; Mixed effects models; Mode; Model comparisons; Models; Multiple control; NHST; Nominal data; Nonoverlap statistics; Nonparametric tests of significance; Ordinal data; Parametric tests of significance; Percentage of trials with correct responding; Point estimates; Power analysis; Probability distributions; Probability theory; Quantitative analyses of behavior; Quantitative data; Regression models; Response probability; Response variability; Responses per minute; Sample size; Seasonality; Single-case designs; Social significance; Stable responding; Standard deviation; Standard error of the mean; Statistical decision-making; Statistical myths; Statistical presentations; Statistical writing; Statistics; Statistics checklist; Steady-state responding; Structured criteria; Time series; Time series analysis; Time series decomposition; Trend; Uncontrolled variables; Variability; Verbal behavior
1. The requisite boring stuff Part I: Defining a statistic and the benefit of numbers 2. The requisite boring stuff Part II: Data types and data distributions 3. How can we describe our data with numbers? Central tendency and point estimates 4. Just how stable is responding? Estimating variability 5. Just how good is my intervention? Statistical significance, effect sizes and social significance 6. Oh, shoot! I forgot about that! Estimating the influence of uncontrolled variables 7. How fast can I get to an answer? Sample size, power, and observing behavior 8. Wait, you mean the clock is always ticking? The unique challenges time adds to statistically analyzing time series data 9. This math and time thing is cool! Time series decomposition and forecasting behavior 10. I suppose I should tell someone about the fun I've had: Chapter checklists for thinking, writing, and presenting statistics 11. Through the looking glass: Probability theory, frequentist statistics and Bayesian statistics
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
ARIMA; Applied behavior analysis; Bayesian statistics; Behavior models; Categorical data; Central tendency; Classification models; Cohen's d; Complex behavior; Confidence intervals; Continuous data; Correlation coefficients; Cyclicity; Data collection; Data measurement; Data trends; Data types; Discrete data; Dynamics; Effect sizes; Epistemology; Exponential smoothing; Forecasting behavior; Frequentist statistics; Hedge's g; Interobserver agreement; Kendall's Tau; Level; Mean; Median; Mixed effects models; Mode; Model comparisons; Models; Multiple control; NHST; Nominal data; Nonoverlap statistics; Nonparametric tests of significance; Ordinal data; Parametric tests of significance; Percentage of trials with correct responding; Point estimates; Power analysis; Probability distributions; Probability theory; Quantitative analyses of behavior; Quantitative data; Regression models; Response probability; Response variability; Responses per minute; Sample size; Seasonality; Single-case designs; Social significance; Stable responding; Standard deviation; Standard error of the mean; Statistical decision-making; Statistical myths; Statistical presentations; Statistical writing; Statistics; Statistics checklist; Steady-state responding; Structured criteria; Time series; Time series analysis; Time series decomposition; Trend; Uncontrolled variables; Variability; Verbal behavior
