Existing research methods textbooks emphasize the mechanics of HOW to conduct research studies. However, many students fail to see WHY it is important to learn about research because they will never conduct research studies. These students do not become engaged in learning and believe that research courses and textbooks are useless. They do not see the need of developing "research literacy" to understand the applications and limitations of research to their daily lives. This book engages students with a nonmathematical presentation that includes real examples of the consequences of research errors in daily life. The organization facilitates learning with objectives, concepts, description of errors, best practices, and examples. This is a research methods textbook for students who fear research textbooks. The diversity of topics in this book permits application to research methods courses in these academic fields: Economics, Education, Political Science, Psychology, and Sociology. This should be the first book for all students to introduce research and develop "research literacy".

Our society faces international challenges from cyber attacks and dissemination of fake news with a goal to destabilize our society. Fake news can be used as a weapon with destructive effects as powerful as any military attack. Fake news can spread as fast as a wildfire carried on the winds of social media. Students and all citizens need to be prepared and informed of ways to quickly understand and distinguish real and fake news. Preventing the potential destructive effects of fake news is the purpose of this book. The focus is upon providing a resource for educators to develop "news literacy" skills of students in objectively evaluating the news.

Our society faces international challenges from cyber attacks and dissemination of fake news with a goal to destabilize our society. Fake news can be used as a weapon with destructive effects as powerful as any military attack. Fake news can spread as fast as a wildfire carried on the winds of social media. Students and all citizens need to be prepared and informed of ways to quickly understand and distinguish real and fake news. Preventing the potential destructive effects of fake news is the purpose of this book. The focus is upon providing a resource for educators to develop "news literacy" skills of students in objectively evaluating the news.

Existing research methods textbooks emphasize the mechanics of HOW to conduct research studies. However, many students fail to see WHY it is important to learn about research because they will never conduct research studies. These students do not become engaged in learning and believe that research courses and textbooks are useless. They do not see the need of developing "research literacy" to understand the applications and limitations of research to their daily lives. This book engages students with a nonmathematical presentation that includes real examples of the consequences of research errors in daily life. The organization facilitates learning with objectives, concepts, description of errors, best practices, and examples. This is a research methods textbook for students who fear research textbooks. The diversity of topics in this book permits application to research methods courses in these academic fields: Economics, Education, Political Science, Psychology, and Sociology. This should be the first book for all students to introduce research and develop "research literacy".

This groundbreaking book introduces the application of statistical methodologies to e-Commerce data
With the expanding presence of technology in today's economic market, the use of the Internet for buying, selling, and investing is growing more popular and public in nature. Statistical Methods in e-Commerce Research is the first book of its kind to focus on the statistical models and methods that are essential in order to analyze information from electronic-commerce (e-Commerce) transactions, identify the challenges that arise with new e-Commerce data structures, and discover new knowledge about consumer activity.
This collection gathers over thirty researchers and practitioners from the fields of statistics, computer science, information systems, and marketing to discuss the growing use of statistical methods in e-Commerce research. From privacy protection to economic impact, the book first identifies the many obstacles that are encountered while collecting, cleaning, exploring, and analyzing e-Commerce data. Solutions to these problems are then suggested using established and newly developed statistical and data mining methods. Finally, a look into the future of this evolving area of study is provided through an in-depth discussion of the emerging methods for conducting e-Commerce research.
Statistical Methods in e-Commerce Research successfully bridges the gap between statistics and e-Commerce, introducing a statistical approach to solving challenges that arise in the context of online transactions, while also introducing a wide range of e-Commerce applications and problems where novel statistical methodology is warranted. It is an ideal text for courses on e-Commerce at the upper-undergraduate and graduate levels and also serves as a valuable reference for researchers and analysts across a wide array of subject areas, including economics, marketing, and information systems who would like to gain a deeper understanding of the use of statistics in their work.

Auf Initiative der Deutschen Gesellschaft fiir Biologische Psychiatrie wurde ihr 3. KongreB als das erste "Dreilindersymposium fiir biologische Psychiatrie" am 27.-29. September 1984 in Lindau am Bodensee abgehalten. Ziel war es, in wissenschaftlicher Diskussion und personlicher Begegnung die Kontakte mit der Osterreichischen Arbeitsgemeinschaft fUr Neuropsychopharmakologie und Biologische Psychiatrie und der Schweizerischen Vereinigung fUr Biologische Psychiatrie enger zu kniipfen und eine gegenseitige Anregung der 3 Schwester- gesellschaften herbeizufiihren. Es ist daran gedacht, alle 4 Jahre ein solches Dreilindersymposium des- deutschsprachigen Raumes abzuhalten, wobei die 3 Gesellschaften die Gastgeberrolle und die Fiihrung in der Organisation des Treffens abwechselnd iibernehmen wiirden. Der vorliegende Band enthilt die (zum Teil iiberarbeiteten) Vortrige des Kongresses, der sich aus 2 Symposien - zur Emotions-und Kommunikations- forschung (D. Ploog) und zur Psychobiologie der Angst (B. Saletu) - und zahl- reichen weiteren freien Vortrigen zusammensetzt. Den vielen Helfern, die zum Gelingen des Symposiums und dieses Bandes bei- trugen, sei an dieser Stelle noch einmal gedankt, vor allem aber den Autoren dafiir, daB sie ihre Forschungsergebnisse in das Mosaik des vorliegenden Symposiums- bandes haben einfiigen lassen. Die Herausgeber Puchheim, im Mirz 1986 Gru8adresse der japaoischen SchwestergeseUschaft 1m Namen der Japanischen Gesellschaft fiir Biologische Psychiatrie mochte ich mich zuerst sehr herzlich bei Ihnen fUr Ihre freundliche Erlaubnis bedanken, an diesem Symposium teilnehmen und Sie begriiBen zu konnen. An den 1. KongreB der Deutschen Gesellschaft fUr Biologische Psychiatrie in Mannheim 1980 denke ich gerne zurUck.

Explore cutting-edge statistical methodologies for collecting, analyzing, and modeling online auction data

Online auctions are an increasingly important marketplace, as the new mechanisms and formats underlying these auctions have enabled the capturing and recording of large amounts of bidding data that are used to make important business decisions. As a result, new statistical ideas and innovation are needed to understand bidders, sellers, and prices. Combining methodologies from the fields of statistics, data mining, information systems, and economics, Modeling Online Auctions introduces a new approach to identifying obstacles and asking new questions using online auction data.

The authors draw upon their extensive experience to introduce the latest methods for extracting new knowledge from online auction data. Rather than approach the topic from the traditional game-theoretic perspective, the book treats the online auction mechanism as a data generator, outlining methods to collect, explore, model, and forecast data. Topics covered include: Data collection methods for online auctions and related issues that arise in drawing data samples from a Web siteModels for bidder and bid arrivals, treating the different approaches for exploring bidder-seller networksData exploration, such as integration of time series and cross-sectional information; curve clustering; semi-continuous data structures; and data hierarchiesThe use of functional regression as well as functional differential equation models, spatial models, and stochastic models for capturing relationships in auction dataSpecialized methods and models for forecasting auction prices and their applications in automated bidding decision rule systems

Throughout the book, R and MATLAB software are used for illustrating the discussed techniques. In addition, a related Web site features many of the book's datasets and R and MATLAB code that allow readers to replicate the analyses and learn new methods to apply to their own research.

Modeling Online Auctions is a valuable book for graduate-level courses on data mining and applied regression analysis. It is also a one-of-a-kind reference for researchers in the fields of statistics, information systems, business, and marketing who work with electronic data and are looking for new approaches for understanding online auctions and processes.

Visit this book's companion website by clicking here