Talking about Statistics / A Psychologist's Guide to Data Analysis

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TextPublication details: 1992Edition: 1stDescription: 136ISBN:

340529210

Summary: This book illustrates how collaboration between statisticians and behavioral scientist can benefit both the design and the analysis of practical research projects. Preface, Why Can't a Psychologist Be More Like a Statistician?, Examining Some Pilot Data: A Review of Basic Descriptive Statistics, Designing and Planning a Study: Hypothesis Testing and Experimental Design and Power Calculations, Measurement and Observer Bias and Reliability, Comparing Two Groups: The t-Test and Mann-Whitney U and Hoteling's T2, Comparing Two Groups on One or More Dimensions: Univariate and Multivariate Analysis of Variance; Analysis of Covariance, The Analysis of Repeated Measures Designs, Comparing Groups with Respect to Categorical Outcome Measures: Logistic Regression and Survival Analysis, Fitting Models of Relationships amongst Variables, References, Appendix, Index.

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Item type	Current library	Call number	Copy number	Status	Barcode
Books	MC Athens Campus Library	519.5 EVE (Browse shelf(Opens below))	1	Available	9780000025296

This book illustrates how collaboration between statisticians and behavioral scientist can benefit both the design and the analysis of practical research projects. Preface, Why Can't a Psychologist Be More Like a Statistician?, Examining Some Pilot Data: A Review of Basic Descriptive Statistics, Designing and Planning a Study: Hypothesis Testing and Experimental Design and Power Calculations, Measurement and Observer Bias and Reliability, Comparing Two Groups: The t-Test and Mann-Whitney U and Hoteling's T2, Comparing Two Groups on One or More Dimensions: Univariate and Multivariate Analysis of Variance; Analysis of Covariance, The Analysis of Repeated Measures Designs, Comparing Groups with Respect to Categorical Outcome Measures: Logistic Regression and Survival Analysis, Fitting Models of Relationships amongst Variables, References, Appendix, Index.

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Talking about Statistics / A Psychologist's Guide to Data Analysis