Jennifer Hill

Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting.

Most textbooks on regression focus on theory and the simplest of examples. Real statistical problems, however, are complex and subtle. This is not a book about the theory of regression. It is about using regression to solve real problems of comparison, estimation, prediction, and causal inference. Unlike other books, it focuses on practical issues such as sample size and missing data and a wide range of goals and techniques. It jumps right in to methods and computer code you can use immediately. Real examples, real stories from the authors' experience demonstrate what regression can do and its limitations, with practical advice for understanding assumptions and implementing methods for experiments and observational studies. They make a smooth transition to logistic regression and GLM. The emphasis is on computation in R and Stan rather than derivations, with code available online. Graphics and presentation aid understanding of the models and model fitting.

Let GOD order your steps, and start walking in your purpose.More than a memoir, Watch Me Walk is a bold book filled with undisguised, gritty short stories about mistakes, mishaps and mercy. With God all things are possible.You will find real, raw, true-to-life stories about this author's slips and falls in her attempt to walk in her purpose. A must-read for every young woman.

This gripping book considers the history, techniques, and goals of child-targeted consumer campaigns and examines children's changing perceptions of what commodities they "need" to be valued and value themselves.In this critique of America's consumption-based society, author Jennifer Hill chronicles the impact of consumer culture on children—from the evolution of childhood play to a child's self-perception as a consumer to the consequences of this generation's repeated media exposure to violence. Hill proposes that corporations, eager to tap into a multibillion-dollar market, use the power of advertising and the media to mold children's thoughts and behaviors.The book features vignettes with teenagers explaining, in their own words, how advertising determines their needs, wants, and self-esteem. An in-depth analysis of this research reveals the influence of media on a young person's desire to conform, shows how broadcasted depictions of beauty distort the identities of children and teens, and uncovers corporate agendas for manipulating behavior in the younger generation. The work concludes with the position that corporations are shaping children to be efficient consumers but, in return, are harming their developing young minds and physical well-being.

It has often been assumed that people with developmental disabilities are incapable of expressing or acquiring the level of emotional insight and sensitivity necessary to engage in any kind of therapy. Authentic Dialogue with Persons who are Developmentally Disabled explodes this myth, challenging mental health professionals and families to engage in genuine dialogue with people who are developmentally disabled.Rather than avoiding painful topics, such as awareness of the loss of a normal life, this book shows it is possible to confront these difficult and emotive issues within a therapeutic environment. The author, Jennifer Hill, follows the progress of several developmentally disabled individuals who participated in her group psychotherapy sessions over the course of several months and were able to discuss their feelings of sorrow, grief, jealousy and joy with the group. Offering rare insight into what it means to have a developmental disability from the perspective of those with the condition, Hill suggests a hopeful alternative to many of the programs currently on offer to the developmentally disabled.Thought-provoking and refreshing, this book will be of interest to social workers, psychologists, and educators in the fields of developmental disability and mental health, as well as families of individuals with developmental disabilities.

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout.

Data Analysis Using Regression and Multilevel/Hierarchical Models, first published in 2007, is a comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout.