In Principles of Macroeconomics, noted economist and teacher John Taylor unravels sophisticated material by combining clear, straightforward writing with annotated graphs and real-life examples that drive students' interest in modern economic theory. Taylor's unique approach to macroeconomics (covering long-run fundamentals before short-term economic fluctuations) helps students establish a firm grounding in the basic determinants of growth before they are introduced to the fluctuations that can occur even during periods of steady growth. The Student Technology Package is automatically bundled for free with all new copies of the textbook sold in the U.S. This package includes access to both SMARTHINKING online tutoring and the student textbook web site, as well as the Taylor Tutorial CD-ROM and a Technology Guide.

Macroeconomics

Business & Money

Hall, Robert Ernest

Economics

W.W. Norton & Co., Inc.

Learn how to select the right positive psychology (PP) assessment tool for the right situation 
• Written by internationally renowned authors 
• Looks at well-being, traits, states, and behavior 
• Presents the relevant psychometric properties 
• Considers assessment challenges 
• Recommends selection in different settings 
• Explores new directions in PP 
This volume gives a state-of-the-art overview of assessment in the field of positive psychology, including a comprehensive overview of current theories, approaches, issues, and assessment instruments. In four sections, leading experts look at different conceptualizations of well-being and discuss specific traits, states, and behaviors. New directions in positive psychology are also explored, including measuring primal world beliefs, imagination, self-transcendent experiences, and nostalgia.

Handbook of Positive Psychology Assessment (Psychological Assessment – Science and Practice)

Medical Books

BAKKER

Willibald

Gander

Louis

Fabian

Ruch

Arnold B.

Psychology

Hogrefe Publishing

Product Description Contemporary data analytics involves extracting insights from data and translating them into action. With its turn towards empirical methods and convergent data sources, cognitive linguistics is a fertile context for data analytics. There are key differences between data analytics and statistical analysis as typically conceived. Though the former requires the latter, it emphasizes the role of domain-specific knowledge. Statistical analysis also tends to be associated with preconceived hypotheses and controlled data. Data analytics, on the other hand, can help explore unstructured datasets and inspire emergent questions. This volume addresses two key aspects in data analytics for cognitive linguistic work. Firstly, it elaborates the bottom-up guiding role of data analytics in the research trajectory, and how it helps to formulate and refine questions. Secondly, it shows how data analytics can suggest concrete courses of research-based action, which is crucial for cognitive linguistics to be truly applied. The papers in this volume impart various data analytic methods and report empirical studies across different areas of research and application. They aim to benefit new and experienced researchers alike. About the Author Dennis Tay and Molly Xie Pan, The Hong Kong Polytechnic University, Hong Kong.

Data Analytics in Cognitive Linguistics: Methods and Insights (Applications of Cognitive Linguistics [ACL], 41)

Reference

DENNIS

Molly Xie

Words, Language & Grammar

Walter de Gruyter

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Books by Tay