The book offers important guidelines in analyzing the technical, economic, financial, administrative and organizational, environmental, commercial, and institutional aspects of development projects. It also suggests a format for organizing these aspects into one comprehensive design as it emphasizes the need for analyzing investments in their entirety as opposed to analyzing them in separate segments. Managers and technicians from national and local governments, business corporations, parastatals or public enterprises, non-governmental organizations, development and commercial banks, and national and international aid funding institutions who are directly or indirectly involved in planning and implementing development activities will find this book useful. Teachers and students in project management, finance, banking, economic analysis, and development management will also find valuable learning gains from the book. The concepts and procedure in designing and analyzing development projects are illustrated using hypothetical case studies. The discussions and illustrations will serve as important guidelines in the implementation of development projects.

Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book's examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable’s importance, coding systems for representing categorical variables, causation, and myths about testing interaction.

Object-oriented analysis and design (OOAD) has over the years, become a vast field, encompassing such diverse topics as design process and principles, documentation tools, refactoring, and design and architectural patterns. For most students the learning experience is incomplete without implementation. This new textbook provides a comprehensive introduction to OOAD. The salient points of its coverage are: • A sound footing on object-oriented concepts such as classes, objects, interfaces, inheritance, polymorphism, dynamic linking, etc. • A good introduction to the stage of requirements analysis. • Use of UML to document user requirements and design. • An extensive treatment of the design process. • Coverage of implementation issues. • Appropriate use of design and architectural patterns. • Introduction to the art and craft of refactoring. • Pointers to resources that further the reader’s knowledge. All the main case-studies used for this book have been implemented by the authors using Java. The text is liberally peppered with snippets of code, which are short and fairly self-explanatory and easy to read. Familiarity with a Java-like syntax and a broad understanding of the structure of Java would be helpful in using the book to its full potential.

As the world becomes more globalized, student populations in university settings will continue to grow in diversity. To ensure students develop the cultural competence to adapt to new environments, universities and colleges must develop policies and programs to aid in the progression of cultural acceptance and understanding. Cultural Awareness and Competency Development in Higher Education is an essential reference book on the latest literature regarding multiculturalism in colleges and universities, focusing on administration and faculty implementation of culturally-aware curriculum to support the development of students' global competence. Featuring extensive coverage on a range of topics including social constructivism, co-curricular learning, and inclusive pedagogy, this publication is ideally designed for academicians, researchers, and students seeking current research on the inclusion of culturally diverse curriculums in higher education.

In this large-format implementation manual, TPM experts explain P-M Analysis. (A methodology that makes zero losses a reality in your TPM program.) P-M Analysis is designed to help your TPM teams analyze and eliminate chronic problems that have been neglected or unresolved in the past.Chronic quality defects and other chronic losses are hard to era

In the Fifth Edition of A Practical Guide for Policy Analysis: The Eightfold Path to More Effective Problem Solving, Eugene Bardach and new co-author Eric Patashnik draw on more than 40 years of experience teaching students to be effective, accurate, and persuasive policy analysts. This bestselling handbook presents dozens of concrete tips, interesting case studies, and step-by-step strategies that are easily applicable for the budding analyst as well as the seasoned professional. In this new edition, Bardach and Patashnik update many examples to reflect the shifting landscape of policy issues. A new section with advice on how to undertake policy design in addition to making policy choices makes the book even more engaging. Readers will also appreciate a sample document of real world policy analysis, suggestions for developing creative, "out-of-the-box" solutions, and tips for working with clients.

In the era of social connectedness, people are becoming increasingly enthusiastic about interacting, sharing, and collaborating through online collaborative media. However, conducting sentiment analysis on these platforms can be challenging, especially for business professionals who are using them to collect vital data. Sentiment Analysis and Knowledge Discovery in Contemporary Business is an essential reference source that discusses applications of sentiment analysis as well as data mining, machine learning algorithms, and big data streams in business environments. Featuring research on topics such as knowledge retrieval and knowledge updating, this book is ideally designed for business managers, academicians, business professionals, researchers, graduate-level students, and technology developers seeking current research on data collection and management to drive profit.