David A. Kenny – författare

Understand the dietary needs and processes of animals with this comprehensive resource Animal Nutrition is a single reference volume gathering the latest research into animal nutritional needs, digestion, and metabolism. A seminal new addition to the decorated Nutrition Society Textbook Series, Animal Nutrition covers the nutritional needs of companion animals and livestock, as well as providing detail on a variety of connected subjects. The book discusses the nutritional needs and characteristics of different species, reproduction, husbandry and how nutrition can significantly impact animal quality of life and veterinary outcomes. Written for the benefit of students, researchers, and practitioners alike, this accessible text offers foundational discussions of both theory and practice. The result is a book which promises to rejuvenate the teaching of this critical field. Animal Nutrition readers will also find: Detailed discussion of topics including feed enzymes, monogastric and ruminant nutrition, macronutrients, and moreAn authorial team comprised of leading researchers and instructorsA focus throughout on sustainable animal husbandry and careAnimal Nutrition is the essential introduction for undergraduate and postgraduate students of animal biology or veterinary care, as well as an ideal reference for researchers and veterinarians.

People make judgments about others all the time, often without realizing they are doing so. How are interpersonal impressions formed? How accurate are our perceptions of other people's traits--and our own? In this major revision of his landmark work, David A. Kenny provides a reader-friendly examination of these and other critical questions, identifying key components that shape impressions and their accuracy. Topics include how to estimate perceiver, target, and relationship effects; the extent to which different perceivers see a target in the same way; the impact of group membership and stereotypes; and whether others see us as we see ourselves. Implications for interpersonal relationships and social behavior are highlighted.New to This Edition*Virtually a new book; incorporates 25 years of theoretical, empirical, and methodological advances.*New and greatly expanded topics, including first impressions, individual differences in accuracy, implicit measures, and narcissism.*Grounded in a reformulated conceptual model.*More accessible--uses nontechnical language, humor, popular culture, and simplified figures to elucidate complex ideas.*End-of-chapter "Practical Suggestions" apply the science to real-world social situations.

Interpersonal phenomena such as attachment, conflict, person perception, learning, and influence have traditionally been studied by examining individuals in isolation, which falls short of capturing their truly interpersonal nature. This book offers state-of-the-art solutions to this age-old problem by presenting methodological and data-analytic approaches useful in investigating processes that take place among dyads: couples, coworkers, parent and child, teacher and student, or doctor and patient, to name just a few. Rich examples from psychology and across the behavioral and social sciences help build the researcher's ability to conceptualize relationship processes; model and test for actor effects, partner effects, and relationship effects; and model and control for the statistical interdependence that can exist between partners. The companion website provides clarifications, elaborations, corrections, and data and files for each chapter.

Regression toward the mean is a complex statistical principle that plays a crucial role in any research involving the measurement of change. This primer is designed to help researchers more fully understand this phenomenon and avoid common errors in interpretation. The book presents new methods of graphing regression toward the mean, facilitating comprehension with a wealth of figures and diagrams. Special attention is given to applications related to program or treatment evaluation. Numerous concrete examples illustrate the ways researchers all too often attribute effects to an intervention or other causal variable without considering regression artifacts as an alternative explanation for change. Also discussed are instances when problems are actually created, instead of solved, by correction for regression toward the mean. Throughout, the authors strive to use nontechnical language and to keep simulations and formulas as accessible as possible.