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Ten autistic self-advocates share their experiences with alternative forms of communication such as rapid prompting method (RPM) and facilitated communication (FC), both highly controversial. Their narratives document the complexities that autistic individuals navigate--in both educational and community settings--when choosing to use approaches that utilize letter boards and keyboards. While the controversies remain--RPM requires further scientific study, and FC is subject to criticism about confirmation bias--these individuals share powerful stories in the context of aiming for disability rights. The book concludes with a chapter about best practices for educators, particularly for schools and colleges that have students who use these communication methods.
A complete guide to cutting-edge techniques and best practices for applying covariance analysis methods The Second Edition of Analysis of Covariance and Alternatives sheds new light on its topic, offering in-depth discussions of underlying assumptions, comprehensive interpretations of results, and comparisons of distinct approaches. The book has been extensively revised and updated to feature an in-depth review of prerequisites and the latest developments in the field. The author begins with a discussion of essential topics relating to experimental design and analysis, including analysis of variance, multiple regression, effect size measures and newly developed methods of communicating statistical results. Subsequent chapters feature newly added methods for the analysis of experiments with ordered treatments, including two parametric and nonparametric monotone analyses as well as approaches based on the robust general linear model and reversed ordinal logistic regression. Four groundbreaking chapters on single-case designs introduce powerful new analyses for simple and complex single-case experiments. This Second Edition also features coverage of advanced methods including: Simple and multiple analysis of covariance using both the Fisher approach and the general linear model approach Methods to manage assumption departures, including heterogeneous slopes, nonlinear functions, dichotomous dependent variables, and covariates affected by treatments Power analysis and the application of covariance analysis to randomized-block designs, two-factor designs, pre- and post-test designs, and multiple dependent variable designs Measurement error correction and propensity score methods developed for quasi-experiments, observational studies, and uncontrolled clinical trials Thoroughly updated to reflect the growing nature of the field, Analysis of Covariance and Alternatives is a suitable book for behavioral and medical scineces courses on design of experiments and regression and the upper-undergraduate and graduate levels. It also serves as an authoritative reference work for researchers and academics in the fields of medicine, clinical trials, epidemiology, public health, sociology, and engineering.
Can making things smaller make the world a better place? No Local takes a critical look at localism, an ideology that says small businesses, ethical shopping and community initiatives like gardens and farmers’ markets can stop corporate globalization. These small acts might make life better for some, but they don’t challenge the drive for profit that’s damaging our communities and the earth. No Local shows how localism’s fixation on small comes from an outdated economic model. Growth is built into capitalism. Small firms must play by the same rules as large ones, cutting costs, exploiting workers and damaging the environment. Localism doesn’t ask who controls production, allowing it to be co-opted by governments offloading social services onto the poor. At worst, localism becomes a strategy for neoliberal politics, not an alternative to it. No Local draws on political theory, history, philosophy and empirical evidence to argue that small isn’t always beautiful. Building a better world means creating local social movements that grow to challenge, not avoid, market priorities.
In Public Policy: Politics, Analysis, and Alternatives, students come to understand how and why policy analysis is used to assess policy alternatives. To encourage critical and creative thinking on issues ranging from the federal deficit to health care reform to climate change, authors Michael Kraft and Scott Furlong introduce and fully integrate an evaluative approach to policy. The Sixth Edition of Public Policy offers a fully revised, concise review of institutions, policy actors, and major theoretical models as well as a discussion of the nature of policy analysis and its practice. Both the exposition and data have been updated to reflect major policy controversies and developments through the end of 2016, including new priorities of the Donald Trump administration.