This indispensable handbook to qualitative researchthe first of its kindleads you from theory development to research proposals through preparation and methods of research to analysis and reporting data.
The definitive career guide for grad students, adjuncts, post-docs and anyone else eager to get tenure or turn their Ph.D. into their ideal job Each year tens of thousands of students will, after years of hard work and enormous amounts of money, earn their Ph.D. And each year only a small percentage of them will land a job that justifies and rewards their investment. For every comfortably tenured professor or well-paid former academic, there are countless underpaid and overworked adjuncts, and many more who simply give up in frustration. Those who do make it share an important asset that separates them from the pack: they have a plan. They understand exactly what they need to do to set themselves up for success. They know what really moves the needle in academic job searches, how to avoid the all-too-common mistakes that sink so many of their peers, and how to decide when to point their Ph.D. toward other, non-academic options. Karen Kelsky has made it her mission to help readers join the select few who get the most out of their Ph.D. As a former tenured professor and department head who oversaw numerous academic job searches, she knows from experience exactly what gets an academic applicant a job. And as the creator of the popular and widely respected advice site The Professor is In, she has helped countless Ph.D.’s turn themselves into stronger applicants and land their dream careers. Now, for the first time ever, Karen has poured all her best advice into a single handy guide that addresses the most important issues facing any Ph.D., including: -When, where, and what to publish -Writing a foolproof grant application -Cultivating references and crafting the perfect CV -Acing the job talk and campus interview -Avoiding the adjunct trap -Making the leap to nonacademic work, when the time is right The Professor Is In addresses all of these issues, and many more.
The Department of Health and Human Services has identified Acquired Immunodeficiency Syndrome (AIDS) as the foremost public health problem in the United States. The Centers for Disease Control (CDC) report that, as of December 31, 1994, there were 441,528 documented cases of AIDS in this country, and the number is increasing. AIDS is an illness characterized by a defect in natural immunity against disease. Many more individuals are known to be infected with Human Immunodeficiency Virus (HIV) but do not have symptoms or the defming characteristics of AIDS. The incubation period for AIDS may range from 1 to 10 or more years in adults and 6 months to several years in children. Infected persons appear to be capable of transmitting infection indefinitely, even if they remain asymptomatic. In order to increase the number of minority investigators conducting research on HIV infection and 1 AIDS, NIMH conducted a 3h-day technical workshop for minority investigators on July 24-27. 1990, in Fairlakes, Virginia. University-based research programs were asked to nominate investigators who were selected on the basis of a referred 1 0-page prospectus for a proposed research project. This procedure was used because NIMH wanted to be sure that the prospective investigators were established in a research environment that would pr
This book provides principles on content analysis and its application into development of nursing theory. It offers clear guidance to students, lecturers and researchers to gain a deeper understanding of the method of content analysis, its implementation into their own research and criteria of trustworthiness evaluation. The book is written in user-friendly language with provided research examples and cases, and the content is illustrated by figures and tables. The authors offer their expertise in providing a well thought through explanation of content analysis in didactical style, which will enhance university education. The book includes highly experienced researchers who have published articles on content analysis and the trustworthiness of the method with more than 10 000 citations. Divided into two parts, this book explores the application of content analysis into nursing science. The first part presents the philosophical position of content analysis, inductive and deductive methods of using content analysis, trustworthiness of the method, and ethical consideration of using content analysis. The second part informs on the theory development based on content analysis, conceptualization of the concepts of content analysis into generation of items and instrument development, and statistical testing of a hypothetical model. The last chapter shows a new approach to using content analysis in systematic reviews and quality evaluation of methodology within systematic review process. The book is an essential tool for nursing science, providing instruction on key methodological elements in order to provide rigorously conducted empirical research for clinical practice and nursing education.
Design-type research deals with the multidisciplinary issues of methodology of design, design principles and guidelines, and philosophy of design with the aim of producing knowledge that aids designers in becoming more effective and efficient. Design-Type Research in Information Systems: Findings and Practices aims to demonstrate that Design-Type Research is a legitimate scientific activity, particularly in the context of the field of Information Systems. Contending that the philosophy, methodology and principles of traditional science also apply to design-type of science, the research contained within this book is important to the widespread acceptance and promotion of design-type research.
Structural Equation Modeling (SEM) is a statistical approach to testing hypothesis about the relationships among observed and latent variables. The use of SEM in research has increased in psychology, sociology, and economics in recent years. In particular educational researchers try to obtain the complete image of the process of education through the measurement of personality differences, learning environment, motivation levels and host of other variables that affect the teaching and learning process. With the use of survey instruments and interviews with students, teachers and other stakeholders as a lens, educators can assess and gain valuable information about the social ecology of the classrooms that could help in improving the instructional approach, classroom management and the learning organizations. A considerable number of research have been conducted to identify the factors and interactions between students’ characteristics, personal preferences, affective traits, study skills, and various other factors that could help in better educational performance. In recent years, educational researchers use Structural Equation Modeling (SEM) as a statistical technique to explore the complex and dynamic nature of interactions in educational research and practice. SEM is becoming a powerful analytical tool and making methodological advances in multivariate analysis. This book presents the collective works on concepts, methodologies and applications of SEM in educational research and practice. The anthology of current research described in this book will be a valuable resource for the next generation educational practitioners.
This book presents established and state-of-the-art methods in Language Technology (including text mining, corpus linguistics, computational linguistics, and natural language processing), and demonstrates how they can be applied by humanities scholars working with textual data. The landscape of humanities research has recently changed thanks to the proliferation of big data and large textual collections such as Google Books, Early English Books Online, and Project Gutenberg. These resources have yet to be fully explored by new generations of scholars, and the authors argue that Language Technology has a key role to play in the exploration of large-scale textual data. The authors use a series of illustrative examples from various humanistic disciplines (mainly but not exclusively from History, Classics, and Literary Studies) to demonstrate basic and more complex use-case scenarios. This book will be useful to graduate students and researchers in humanistic disciplines working with textual data, including History, Modern Languages, Literary studies, Classics, and Linguistics. This is also a very useful book for anyone teaching or learning Digital Humanities and interested in the basic concepts from computational linguistics, corpus linguistics, and natural language processing.
In this open access edited volume, international researchers of the field describe and discuss the systematic review method in its application to research in education. Alongside fundamental methodical considerations, reflections and practice examples are included and provide an introduction and overview on systematic reviews in education research.
Effective research in educational settings requires collaboration between researchers and school-based practitioners to codesign instruction and assessment, analyze findings to inform subsequent iterations, and make thoughtful revisions. This innovative reference and course text examines the theory and practice of design-based research (DBR), an important methodology for conducting studies in authentic educational contexts. Leading experts provide specific examples of high-quality DBR addressing different research foci, grade levels, and subject areas (literacy/English language arts, math, and science). Applications are presented for curriculum development, intervention, assessment, and digital contexts, as well as teaching second-language learners. Also addressed is DBR’s role in educator preparation, professional development, dissertation research, and technical education.
This is a detailed description of the steps leading from raw signals measured in space, to calibrated comparable long term data sets, to its final form: useful information for user communities. Examples of applications and data validations result from different investigations in the Mediteranean area. An appendix summarizes useful formulas of the evaluation of satellite data.