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An Age of Accountability highlights the role of test-based accountability as a policy framework in American education from 1970 to 2020. For more than half a century, the quest to hold schools and educators accountable for academic achievement has relied almost exclusively on standardized assessment. The theory of change embedded in almost all test-based accountability programs held that assessment with stipulated consequences could lead to major improvements in schools. This was accomplished politically by proclaiming lofty goals of attaining universal proficiency and closing achievement gaps, which repeatedly failed to materialize. But even after very clear disappointments, no other policy framework has emerged to challenge its hegemony. The American public today has little confidence in institutions to improve the quality of goods and services they provide, especially in the public sector. As a consequence, many Americans continue to believe that accountability remains a vital necessity, even if educators and policy scholars disagree.
The field of educational psychology draws from a variety of diverse disciplines including human development across the life span, measurement and statistics, learning and motivation, and teaching. And within these different disciplines, many other fields are featured including psychology, anthropology, education, sociology, public health, school psychology, counseling, history, and philosophy. In fact, when taught at the college or university level, educational psychology is an ambitious course that undertakes the presentation of many different topics all tied together by the theme of how the individual can best function in an "educational" setting, loosely defined as anything from pre-school through adult education. Educational psychology can be defined as the application of what we know about learning and motivation, development, and measurement and statistics to educational settings (both school- and community-based).
Richard Sparke has no trouble sleeping. It’s what he does after he falls asleep that gets him into trouble. There’s the nightmares, his dead mother coming to visit, and then the return of his daughter, who was only an infant when she died. Among all of this, the man in black tries to murder him in his sleep. Soon the waking world falls prey to nightmares, and the two worlds become very difficult to tell apart for a man who simply wants to live an ordinary life … if anyone will let him.
"Comprising more than 500 entries, the Encyclopedia of Research Design explains how to make decisions about research design, undertake research projects in an ethical manner, interpret and draw valid inferences from data, and evaluate experiment design strategies and results. Two additional features carry this encyclopedia far above other works in the field: bibliographic entries devoted to significant articles in the history of research design and reviews of contemporary tools, such as software and statistical procedures, used to analyze results. It covers the spectrum of research design strategies, from material presented in introductory classes to topics necessary in graduate research; it addresses cross- and multidisciplinary research needs, with many examples drawn from the social and behavioral sciences, neurosciences, and biomedical and life sciences; it provides summaries of advantages and disadvantages of often-used strategies; and it uses hundreds of sample tables, figures, and equations based on real-life cases."--Publisher's description.
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The SAGE Encyclopedia of Research Design maps out how one makes decisions about research design, interprets data, and draws valid inferences, undertakes research projects in an ethical manner, and evaluates experimental design strategies and results. From A-to-Z, this four-volume work covers the spectrum of research design strategies and topics including, among other things: fundamental research design principles, ethics in the research process, quantitative versus qualitative and mixed-method designs, completely randomized designs, multiple comparison tests, diagnosing agreement between data and models, fundamental assumptions in analysis of variance, factorial treatment designs, complete a...
The purpose of this book is to provide instruction and guidance on preparing quantitative data sets prior to answering a study's research questions. Preparation may involve data management and manipulation tasks, data organization, structural changes to data files, or conducting preliminary analysis such as examining the scale of a variable, the validity of assumptions or the nature and extent of missing data. The oresultso from these essential first steps can also help guide a researcher in selecting the most appropriate statistical tests for his/her study. The book is intended to serve as a supplemental text in statistics or research courses offered in graduate programs in education, couns...