Providing an overview of key issues in theory and practice, Replication Research in Education is designed to identify and discuss the benefits and challenges facing replication studies in education. Both clear and practical, this groundbreaking volume covers how to introduce, develop, conduct, report, and discuss these studies, and the issues they raise for policy and practice. Bridging theory and practice, this book considers what replication research should look like, how it should be conducted, and how to judge when it has been successful. It enables researchers to plan and conduct studies successfully, from their earliest stages through to completion. This key text: brings together in a single volume, existing issues, claims and counterclaims, discourses, and practices of replication; introduces, covers, and extends this field of research, indicating its possibilities and limits; expands and adds to existing discussions and practices; will enable researchers to design, conduct, evaluate, and critique studies. The comprehensive and exhaustive coverage of issues and practices within Replication Research in Education make it a 'must read' for all novice and experienced educational researchers who are considering, conducting, and reviewing replication studies in education.

A haunting fascination fuels our interest in the robot, the android, the cyborg, the replicant. Born in science fiction literature, the artificial human has come into its own in films, lurching to life, holding a mirror to humanity's soul. Beginning with a pre-history of the filmic robot, J. P. Telotte traces its development through early sci-fi landmarks such as Metropolis (1926), the alien films of the 1950s (including Forbidden Planet), and recent explorations of the artificial human in Blade Runner, Robocop, and the Terminator films. Replications also considers the tension between the technological wonders that science fiction depicts and the human values it champions. Film-makers employ the latest developments in technology to fashion ever more realistic human doubles, and then use them to explore what it means to be human. Telotte shows us how the sci-fi genre has always addressed changing cultural attitudes toward technology, the body, gender roles, human intelligence, reality, and even film itself.

This edited volume brings together a number of experts who argue in favour of a more central role for replication research in second language acquisition and applied linguistics. It provides a theoretical argument, as well as practical examples and model replication studies.

One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.

The use of discrete-event simulation in various fields, such as in industry, logistics and public health, has really taken off over the last few decades. The implementation of discrete-event simulation does however require an understanding, and perhaps even a mastery, of precise theoretical and methodological principles. Discrete-Event Simulation presents the key concepts involved in any discrete-event simulation project, covering the most frequently used techniques for analysing data and results, the methodological and practical aspects of implementing discrete-event simulation, along with an introduction to the use of the “Arena” discrete-event simulation tool. This book combines the elements presented with applied examples, as well as numerous examples of simulation projects in various fields.

This book constitutes the thoroughly refereed post-proceedings of the Third International Andrei Ershov Memorial Conference, PSI'99, held in Akademgorodok, Novosibirsk, Russia, in July 1999. The 44 revised papers presented together with five revised full invited papers were carefully reviewed and selected from a total of 73 submissions. The papers are organized in sections on algebraic specifications, partial evaluation and super compilation, specification with states, concurrency and parallelism, logic and processes, languages and software, database programming, object-oriented programming, constraint programming, model checking and program checking, and artificial intelligence.

Addressing the immensely important topic of research credibility, Raymond Hubbard’s groundbreaking work proposes that we must treat such information with a healthy dose of skepticism. This book argues that the dominant model of knowledge procurement subscribed to in these areas—the significant difference paradigm—is philosophically suspect, methodologically impaired, and statistically broken. Hubbard introduces a more accurate, alternative framework—the significant sameness paradigm—for developing scientific knowledge. The majority of the book comprises a head-to-head comparison of the "significant difference" versus "significant sameness" conceptions of science across philosophical, methodological, and statistical perspectives.