Drawing a Hypothesis is an exciting reader on the ontology of forms of visualizations and on the development of the diagrammatic view and its use in contemporary art, science and theory. In an intense process of exchange with artists and scientists, Nikolaus Gansterer reveals drawing as a media of research enabling the emergence of new narratives and ideas by tracing the speculative potential of diagrams. Based on a discursive analysis of found figures with the artists' own diagrammatic maps and models, the invited authors create unique correlations between thinking and drawing. Due to its ability to mediate between perception and reflection, drawing proves to be one of the most basic instruments of scientific and artistic practice, and plays an essential role in the production and communication of knowledge. The book is a rich compendium of figures of thought, which moves from scientific representation through artistic interpretation and vice versa.

Providing both a theoretical understanding of research issues and a nuts-and-bolts guide, this book presents the critical issues in psychological research in a clear and easy-to-read manner. Presented within the critical context of validity and reliability the author addresses all the steps of the research process: from formulating a hypothesis, to specifying variables, to creating a research design, to collecting and analyzing data, to drawing conclusions, to reporting the results. A companion website (www.sagepub.com//cherulnik) for professors and students contains additional supporting materials.

This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately.

Statistics: A Short, Clear Guide is an accessible, humorous and easy introduction to statistics for social science students. In this refreshing book, experienced author and academic Neil Burdess shows that statistics are not the result of some mysterious "black magic", but rather the result of some very basic arithmetic. Getting rid of confusing x′s and y′s, he shows that it′s the intellectual questions that come before and after the calculations that are important: (i) What are the best statistics to use with your data? and (ii) What do the calculated statistics tell you? Statistics: A Short, Clear Guide aims to help students make sense of the logic of statistics and to decide how best to use statistics to analyse their own data. What′s more, it is not reliant on students having access to any particular kind of statistical software package. This is a very useful book for any student in the social sciences doing a statistics course or needing to do statistics for themselves for the first time.

Choreo-graphic Figures: Deviations from the Line stages a beyond-disciplinary, inter-subjective encounter between the lines of choreography, drawing and writing, for exploring those forms of thinking-feeling-knowing produced through collaborative exchange, in the slippage and deviation, as different modes of practice enter into dialogue, overlap, collide. The publication is conceived as a studio-laboratory in itself, drawing together critical reflections and experimental practices that focus on the how-ness -- the qualitative-procedural, aesthetic-epistemological and ethical-empathetic dynamics -- within shared artistic exploration, directing attention to an affective realm of forces and intensities existing before, between and beneath the more readable gestures of artistic practice.

"Learning Statistics with R" covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com

This book discusses the application of hypothesis testing to the practice of intelligence analysis. By drawing on longstanding procedures of scientific method, particularly hypothesis testing, this book strongly critiques standard intelligence analytic practices. It shows these practices to be inadequate, as they are illogical in terms of what formal philosophy says any intelligence analysts can realistically be expected to know, and for the future when analysts will face pressures to adapt to digital age modeling techniques. The methodology focuses on identifying and remedying analytic errors caused by analyst cognitive biases and by foreign denial and deception. To demonstrate that it is a practical tool, it walks analysts through a case study, step by step, to show how its hypothesis testing can be implemented. It also invites a comparative test in the real world with any other intelligence methodologies to assess its strengths and weaknesses in predicting the outcome of an actual "live" intelligence issue. This book will be of much interest to students of intelligence studies, public policy and national security, as well as practitioners.

An estimated 80 million people live with a neurodegenerative disease. That number is expected to increase rapidly as populations age, lifespans increase, and exposure to toxins rises. Despite decades of research and billions in funding, there are no medications that can slow, much less stop, the progress of these diseases. This is because diseases such as Parkinson's and Alzheimer's do not exist in biology. Yet, hundreds of clinical trials around the world are examining the potential of single therapies in thousands of people sharing one of these labels. Compounding the problem, these therapies were developed on evidence from models that do not come close to capturing the complexity of these diseases in the affected humans. These practices must end. Brain Fables is a call to refocus on understanding living and aging to create the personalized treatments each affected individual desperately needs.

Students can easily misstep when they first begin to do research. Leanne C. Powner’s new title Empirical Research and Writing: A Student′s Practical Guide provides valuable advice and guidance on conducting and writing about empirical research. Chapter by chapter, students are guided through the key steps in the research process. Written in a lively and engaging manner and with a dose of humor, this practical text shows students exactly how to choose a research topic, conduct a literature review, make research design decisions, collect and analyze data, and then write up and present the results. The book′s approachable style and just-in-time information delivery make it a text students will want to read, and its wide-ranging and surprisingly sophisticated coverage will make it an important resource for their later coursework.

How to Design, Write, and Present a Successful Dissertation Proposal, by Elizabeth A. Wentz, is essential reading for any graduate student entering the dissertation process in the social or behavioral sciences. The book addresses the importance of ethical scientific research, developing your curriculum vitae, effective reading and writing, completing a literature review, conceptualizing your research idea, and translating that idea into a realistic research proposal using research methods. The author also offers insight into oral presentations of the completed proposal, and the final chapter presents ideas for next steps after the proposal has been presented. Taking the view that we “learn by doing,” the author provides Quick Tasks, Action Items, and To Do List activities throughout the text that, when combined, develop each piece of your research proposal. Designed primarily for quantitative or mixed methods research dissertations, this book is a valuable start-to-finish resource.