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Updated and revised for the 2013 California Bar Exams, California Bar Tutors (CaliforniaBarTutors.com) presents a complete set of Primer Outlines and Checklists for: CONSTITUTIONAL LAW, CONTRACTS & UCC, CRIMINAL LAW AND PROCEDURE, EVIDENCE, TORTS, REAL PROPERTY, AGENCY & PARTNERSHIPS, CORPORATIONS, COMMUNITY PROPERTY, WILLS, TRUSTS, PROFESSIONAL RESPONSIBILITY, AND CIVIL PROCEDURE. The "Primer Outlines" are concise and are designed to make the most efficient use of your study time as test day approaches. They are structured to form an active approach that you can work through to make sure you hit all of the issues. This active issue spotting technique helps you maximize points. The "Issue Spotters" are short one page checklists that are designed to be memorized prior to taking the bar exam. Exam takers use these checklists to make sure no issue goes uncovered. With this book, success can be yours!
Updated and revised for the 2013 California Bar Exams, California Bar Tutors (CaliforniaBarTutors.com) presents comprehensive outlines for the non-multistate (MBE) subjects tested on the California Bar: AGENCY & PARTNERSHIPS, CORPORATIONS, COMMUNITY PROPERTY, WILLS, TRUSTS, CIVIL PROCEDURE, CALIFORNIA EVIDENCE, & PROFESSIONAL RESPONSIBILITY. Each outline notes important California distinctions that are key to success. Each outline was developed over a six month period and continually tested against bar standard questions. Following each testing session our outlines were refined until we were confident that not only are they the best in the business, but that they can tackle any problem the bar could pose.
Updated and revised for the 2013 California Bar Exam, California Bar Tutors (CaliforniaBarTutors.com) presents comprehensive outlines for the multistate (MBE) subjects: CONSTITUTIONAL LAW, CONTRACTS, CRIMINAL LAW & PROCEDURE, EVIDENCE, REAL PROPERTY, & TORTS. Each outline notes California distinctions and was developed over a six month period and continually tested against bar standard questions. Following each testing session our outlines were refined until we were confident that not only are they the best in the business, but that they can tackle any problem the bar could pose.
This book has been replaced by the updated 2013 California Bar Exam Primer Outlines and Checklists.
The Coding Manual for Qualitative Researchers is unique in providing, in one volume, an in-depth guide to each of the multiple approaches available for coding qualitative data. In total, 29 different approaches to coding are covered, ranging in complexity from beginner to advanced level and covering the full range of types of qualitative data from interview transcripts to field notes. For each approach profiled, Johnny Saldaña discusses the method’s origins in the professional literature, a description of the method, recommendations for practical applications, and a clearly illustrated example.
For undergraduate or graduate courses that include planning, conducting, and evaluating research. A do-it-yourself, understand-it-yourself manual designed to help students understand the fundamental structure of research and the methodical process that leads to valid, reliable results. Written in uncommonly engaging and elegant prose, this text guides the reader, step-by-step, from the selection of a problem, through the process of conducting authentic research, to the preparation of a completed report, with practical suggestions based on a solid theoretical framework and sound pedagogy. Suitable as the core text in any introductory research course or even for self-instruction, this text will show students two things: 1) that quality research demands planning and design; and, 2) how their own research projects can be executed effectively and professionally.
This book is designed to introduce doctoral and graduate students to the process of conducting scientific research in the social sciences, business, education, public health, and related disciplines. It is a one-stop, comprehensive, and compact source for foundational concepts in behavioral research, and can serve as a stand-alone text or as a supplement to research readings in any doctoral seminar or research methods class. This book is currently used as a research text at universities on six continents and will shortly be available in nine different languages.
`In plain language but with very thorough detail, this book guides the researcher who really wants to use the NVivo software (and use it now) into their project. The way is lit with real-project examples, adorned with tricks and tips, but it’s a clear path to a project' - Lyn Richards, Founder and Non-Executive Director, QSR International Doing Qualitative Data Analysis with NVivo is essential reading for anyone thinking of using their computer to help analyze qualitative data. With 15 years experience in computer-assisted analysis of qualitative and mixed-mode data, Patricia Bazeley is one of the leaders in the use and teaching of NVivo software. Through this very practical book, readers are guided on how best to make use of the powerful and flexible tools offered by the latest version of NVivo as they work through each stage of their research projects. Explanations draw on examples from her own and others' projects, and are supported by the methodological literature. Researchers have different requirements and come to their data from different perspectives. This book shows how NVivo software can accommodate and assist analysis across those different perspectives and methodological approaches. It is required reading for both students and experienced researchers alike.
The Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis. You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package. Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn: –The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops –Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R –How to access R’s thousands of functions, libraries, and data sets –How to draw valid and useful conclusions from your data –How to create publication-quality graphics of your results Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.