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Research Design and Statistical Analysis : Third Edition.

Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book's goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations. Emph...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Myers, Jerome L.
Otros Autores: Well, Arnold D., Lorch Jr, Robert F.
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Hoboken : Taylor and Francis, 2013.
Edición:3rd ed.
Temas:
Acceso en línea:Texto completo

MARC

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250 |a 3rd ed. 
260 |a Hoboken :  |b Taylor and Francis,  |c 2013. 
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505 0 |a Cover; Research Designand Statistical Analysis; Title Page; Copyright Page; Table of Contents; Preface; PART 1: Foundations of Research Design and Data Analysis; CHAPTER 1 PLANNING THE RESEARCH; 1.1 Overview; 1.2 The Independent Variable; 1.3 The Dependent Variable; 1.4 The Subject Population; 1.5 Nuisance Variables; 1.6 Research Design; 1.7 Statistical Analyses; 1.8 Generalizing Conclusions; 1.9 Summary; CHAPTER 2 EXPLORING THE DATA; 2.1 Overview; 2.2 Plots of Data Distributions; 2.3 Measures of Location and Spread; 2.4 Standardized (z) Scores; 2.5 Measures of the Shape of a Distribution. 
505 8 |a 2.6 Comparing Two Data Sets2.7 Relationships Among Quantitative Variables; 2.8 Summary; CHAPTER 3 BASIC CONCEPTS IN PROBABILITY; 3.1 Overview; 3.2 Basic Concepts for Analyzing the Structure of Events; 3.3 Computing Probabilities; 3.4 Probability Distributions; 3.5 Connecting Probability Theory to Data; 3.6 Summary; CHAPTER 4 DEVELOPING THE FUNDAMENTALS OF HYPOTHESIS TESTING USING THE BINOMIAL DISTRIBUTION; 4.1 Overview; 4.2 What Do We Need to Know to Test a Hypothesis?; 4.3 The Binomial Distribution; 4.4 Hypothesis Testing; 4.5 The Power of a Statistical Test; 4.6 When Assumptions Fail. 
505 8 |a 4.7 SummaryCHAPTER 5 FURTHER DEVELOPMENT OF THE FOUNDATIONS OF STATISTICAL INFERENCE; 5.1 Overview; 5.2 Using Sample Statistics to Estimate Population Parameters; 5.3 The Sampling Distribution of the Sample Mean; 5.4 The Normal Distribution; 5.5 Inferences About Population Means; 5.6 The Power of the z Test; 5.7 Validity of Assumptions; 5.8 Relationships Between the Normal and Other Distributions; 5.9 Summary; CHAPTER 6 THE t DISTRIBUTION AND ITS APPLICATIONS; 6.1 Overview; 6.2 Design Considerations: Independent Groups or Correlated Scores?; 6.3 The t Distribution. 
505 8 |a 6.4 Data Analyses in the Independent-Groups Design6.5 Data Analyses in the Correlated-Scores Design; 6.6 Assumptions Underlying the Application of the t Distribution; 6.7 Measuring the Standardized Effect Size: Cohen's d; 6.8 Deciding on Sample Size; 6.9 Post Hoc Power; 6.10 Summary; CHAPTER 7 INTEGRATED ANALYSIS I; 7.1 Overview; 7.2 Introduction to the Research; 7.3 Method; 7.4 Exploring the Data; 7.5 Confidence Intervals and Hypothesis Tests; 7.6 The Standardized Effect Size (Cohen's d); 7.7 Reanalysis: The Trimmed t Test; 7.8 Discussion of the Results; 7.9 Summary. 
505 8 |a PART 2: Between-Subjects DesignsCHAPTER 8 BETWEEN-SUBJECTS DESIGNS: ONE FACTOR; 8.1 Overview; 8.2 An Example of the Design; 8.3 The Structural Model; 8.4 The Analysis of Variance (ANOVA); 8.5 Measures of Importance; 8.6 When Group Sizes Are Not Equal; 8.7 Deciding on Sample Size: Power Analysis in the Between-Subjects Design; 8.8 Assumptions Underlying the F Test; 8.9 Summary; CHAPTER 9 MULTI-FACTOR BETWEEN-SUBJECTS DESIGNS; 9.1 Overview; 9.2 The Two-Factor Design: The Structural Model; 9.3 Two-Factor Designs: The Analysis of Variance; 9.4 Three-Factor Between-Subjects Designs. 
500 |a 9.5 More Than Three Independent Variables. 
520 |a Research Design and Statistical Analysis provides comprehensive coverage of the design principles and statistical concepts necessary to make sense of real data. The book's goal is to provide a strong conceptual foundation to enable readers to generalize concepts to new research situations. Emphasis is placed on the underlying logic and assumptions of the analysis and what it tells the researcher, the limitations of the analysis, and the consequences of violating assumptions. Sampling, design efficiency, and statistical models are emphasized throughout. As per APA recommendations. 
588 0 |a Print version record. 
590 |a ProQuest Ebook Central  |b Ebook Central Academic Complete 
650 0 |a Experimental design. 
650 0 |a Mathematical statistics. 
650 4 |a Experimental design. 
650 4 |a Mathematical statistics. 
650 6 |a Plan d'expérience. 
650 7 |a Experimental design  |2 fast 
650 7 |a Mathematical statistics  |2 fast 
700 1 |a Well, Arnold D. 
700 1 |a Lorch Jr, Robert F. 
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776 0 8 |i Print version:  |a Myers, Jerome L.  |t Research Design and Statistical Analysis : Third Edition.  |d Hoboken : Taylor and Francis, ©2013  |z 9780805864311 
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