The Power Of C

Reshapes the discourse surrounding the nature of British global power in this crucial period of transformation in international politics.

This ground-breaking book provides the first study of naval ideology, defined as the mass of cultural ideas and shared perspectives that, for early modern states and belief systems, justified the creation and use of naval forces. Sixteen scholars examine a wide range of themes over a wide time period and broad geographical range, embracing Britain, the Netherlands, France, Spain, Sweden, Russia, Venice and the United States, along with the "extra-national" polities of piracy, neutrality, and international Calvinism. This volume provides important and often provocative new insights into both the growth of western naval power and important elements of political, cultural and religious history.

By focussing on timber sourcing, this book sheds light on the exploitation of forests in settings outside the Iberian Peninsula, including foreign states in the southern Baltic region and the colonial territory of New Spain between the c.1740-1795. Analysis of contracts, projects, and their implementation by the Spanish crown in the 18th century allow for a better understanding of the position of the Spanish monarchy’s nearly global efforts to sustain its naval commitments in the Atlantic World.

"Gage Language Power reinforces grammar, writing, and study skills. Each book consists of six units addressing key skill areas - vocabulary, sentences, grammar and usage, capitalization and punctuation, composition and study skills."--publisher's website.

Statistical Power Analysis is a nontechnical guide to power analysis in research planning that provides users of applied statistics with the tools they need for more effective analysis. The Second Edition includes: * a chapter covering power analysis in set correlation and multivariate methods; * a chapter considering effect size, psychometric reliability, and the efficacy of "qualifying" dependent variables and; * expanded power and sample size tables for multiple regression/correlation.