Its innovative design allows intermediate-level students to use four key sections concurrently to become better readers in school, college, or business.

"'More reading power' Seecond edition, is a student-centered reading skills textbook based on a cognitive skills approach. Its four key sections, designed to be used concurrently, help intermediate to high-intermediate students develop solid reading skills necessary in school, college, or business."--Cover.

The new Advanced Reading Power 4 offers a strategic, student-based approach to the teaching of reading that encourages users to view reading in English as a problem-solving activity rather than a translation exercise.

Previous ed. published: N.Y.: Pearson Longman, 2003; More reading power / Beatrice S. Mikulecky, 2nd ed.

Its innovative design allows intermediate-level students to use four key sections concurrently to become better readers in school, college, or business.

Ten years ago, Reading Power was launched in an elementary school in Vancouver. It has since evolved into a recognized approach to comprehension instruction being implemented across Canada, in the United States, United Kingdom, Sweden, and China. This ground-breaking approach showed teachers how to help students think while they read — connect, question, visualize, infer, and transform. Since the publication of the first edition of Reading Power, Adrienne Gear has continued to reflect on and refine her ideas about metacognition, comprehension instruction, and the Reading Power strategies. This revised and expanded edition shares these new understandings, and offers teachers new ideas, new lessons, and, of course, new anchor books to support the Reading Power principles. An ideal resource for teachers familiar to this strategic approach to teaching reading, or for those looking for new ways to connect thinking with reading.

AN UPDATED GUIDE TO STATISTICAL MODELING TECHNIQUES USED IN THE SOCIAL AND BEHAVIORAL SCIENCES The revised and updated second edition of Applied Univariate, Bivariate, and Multivariate Statistics: Understanding Statistics for Social and Natural Scientists, with Applications in SPSS and R contains an accessible introduction to statistical modeling techniques commonly used in the social and behavioral sciences. The text offers a blend of statistical theory and methodology and reviews both the technical and theoretical aspects of good data analysis. Featuring applied resources at various levels, the book includes statistical techniques using software packages such as R and SPSS®. To promote a more in-depth interpretation of statistical techniques across the sciences, the book surveys some of the technical arguments underlying formulas and equations. The thoroughly updated edition includes new chapters on nonparametric statistics and multidimensional scaling, and expanded coverage of time series models. The second edition has been designed to be more approachable by minimizing theoretical or technical jargon and maximizing conceptual understanding with easy-to-apply software examples. This important text: Offers demonstrations of statistical techniques using software packages such as R and SPSS® Contains examples of hypothetical and real data with statistical analyses Provides historical and philosophical insights into many of the techniques used in modern social science Includes a companion website that includes further instructional details, additional data sets, solutions to selected exercises, and multiple programming options Written for students of social and applied sciences, Applied Univariate, Bivariate, and Multivariate Statistics, Second Edition offers a text to statistical modeling techniques used in social and behavioral sciences.