A Writer S Guide To Characterization

A Writer's Guide to Characterization

Develop compelling character arcs using the power of myth! In the best novels, characters undergo dramatic changes that keep readers turning pages. A Writer's Guide to Characterization shows you how to develop such meaningful character arcs in your own work--stories of transformation that will resonate with readers long after the story ends. In this comprehensive guide, author Victoria Lynn Schmidt examines cross-cultural archetypes to illustrate how they can make your work more powerful and compelling. Plus, you'll learn how to draw from Jungian psychology to add complexity and believability to your characters. Schmidt also provides: • 40 lessons on character development (with examples from well-known films and novels) that you can apply to your own work • Questionnaires and exercises to help you select male and female archetypes and adapt them to your story • 15 classic animal archetypes (including the coyote, snake, tiger, and butterfly) you can use to build convincing character profiles With A Writer's Guide to Characterization, you'll have the information you need to infuse the development of your characters with drama and authenticity.

A Guide for Design, Conduct, and Analysis of Air Force Tests

The Chicago Guide to Writing about Multivariate Analysis, Second Edition

Many different people, from social scientists to government agencies to business professionals, depend on the results of multivariate models to inform their decisions. Researchers use these advanced statistical techniques to analyze relationships among multiple variables, such as how exercise and weight relate to the risk of heart disease, or how unemployment and interest rates affect economic growth. Yet, despite the widespread need to plainly and effectively explain the results of multivariate analyses to varied audiences, few are properly taught this critical skill. The Chicago Guide to Writing about Multivariate Analysis is the book researchers turn to when looking for guidance on how to clearly present statistical results and break through the jargon that often clouds writing about applications of statistical analysis. This new edition features even more topics and real-world examples, making it the must-have resource for anyone who needs to communicate complex research results. For this second edition, Jane E. Miller includes four new chapters that cover writing about interactions, writing about event history analysis, writing about multilevel models, and the “Goldilocks principle” for choosing the right size contrast for interpreting results for different variables. In addition, she has updated or added numerous examples, while retaining her clear voice and focus on writers thinking critically about their intended audience and objective. Online podcasts, templates, and an updated study guide will help readers apply skills from the book to their own projects and courses. This continues to be the only book that brings together all of the steps involved in communicating findings based on multivariate analysis—finding data, creating variables, estimating statistical models, calculating overall effects, organizing ideas, designing tables and charts, and writing prose—in a single volume. When aligned with Miller’s twelve fundamental principles for quantitative writing, this approach will empower readers—whether students or experienced researchers—to communicate their findings clearly and effectively.