This bestselling textbook is designed to help students understand parametric and nonparametric statistical methods so that they can tackle research problems successfully. By working through this book carefully and systematically, those who may not have a strong background in mathematics will gain a thorough grasp of the most widely used statistical methods in the social sciences.
This bestselling textbook is designed to help students understand parametric and nonparametric statistical methods so that they can tackle research problems successfully. By working through this book carefully and systematically, those who may not have a strong background in mathematics will gain a thorough grasp of the most widely used statistical methods in the social sciences.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Research interests Nineteenth and Twentieth Century architecture and urbanism in Germany, France, Italy, Russia and North America. Contemporary issues in architecture, town planning and landscape design. Sample courses Problems of Interpretation in Architectural History The Architecture of Frank Lloyd Wright Machine to Architecture (Architecture since 1945) The Rise of the Skyscraper : one Century of Theories and Designs Los Angeles: Urban Landscape and Architectural Creativity
Inhaltsangabe
Introduction Measurement Concepts Classifying Data Presenting Data Measuring Typical Achievement Measuring Variations in Achievement Measuring Relative Achievement Measuring Association Regression Analysis Inferential Statistics Choosing an Appropriate Test Design 1 One Group Design: Single Observations on One Variable Design 2 One Group Design: One Observation per Subject on Each of Two or More Variables Design 3 One Group Design: Repeated Observations on the Same Subjects under Two Conditions or before and after Treatment Design 4 One Group - Multi-Treatment (trials): Treatments as Independent Variable Design 5 Two Group Designs: Static Comparisons on One or More Variables Design 6 Multi- Group Design: More than Two Groups, One Single Variable Design 7 Multivariate Analysis. Factorial Designs - The Effect of Two Independent Variables on the Dependent Variable; (a) No Repeated Measures on Factors Design 8 Factorial Designs - The Effect of Two Independent Variables on the Dependent Variable; (b) Repeated Measures on ONE Factor Factorial Designs The Effect of Two Independent Variables on the Dependent Variable; (c) Repeated Measures on BOTH Factors
Introduction Measurement Concepts Classifying Data Presenting Data Measuring Typical Achievement Measuring Variations in Achievement Measuring Relative Achievement Measuring Association Regression Analysis Inferential Statistics Choosing an Appropriate Test Design 1 One Group Design: Single Observations on One Variable Design 2 One Group Design: One Observation per Subject on Each of Two or More Variables Design 3 One Group Design: Repeated Observations on the Same Subjects under Two Conditions or before and after Treatment Design 4 One Group - Multi-Treatment (trials): Treatments as Independent Variable Design 5 Two Group Designs: Static Comparisons on One or More Variables Design 6 Multi- Group Design: More than Two Groups, One Single Variable Design 7 Multivariate Analysis. Factorial Designs - The Effect of Two Independent Variables on the Dependent Variable; (a) No Repeated Measures on Factors Design 8 Factorial Designs - The Effect of Two Independent Variables on the Dependent Variable; (b) Repeated Measures on ONE Factor Factorial Designs The Effect of Two Independent Variables on the Dependent Variable; (c) Repeated Measures on BOTH Factors
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