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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Hoboken :
Taylor and Francis,
2013.
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| Edición: | 3rd ed. |
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.
- 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.
- 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.
- 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.
- 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.