Reasons For Not Taking The Test

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What If There Were No Significance Tests?

The classic edition of What If There Were No Significance Tests? highlights current statistical inference practices. Four areas are featured as essential for making inferences: sound judgment, meaningful research questions, relevant design, and assessing fit in multiple ways. Other options (data visualization, replication or meta-analysis), other features (mediation, moderation, multiple levels or classes), and other approaches (Bayesian analysis, simulation, data mining, qualitative inquiry) are also suggested. The Classic Edition’s new Introduction demonstrates the ongoing relevance of the topic and the charge to move away from an exclusive focus on NHST, along with new methods to help make significance testing more accessible to a wider body of researchers to improve our ability to make more accurate statistical inferences. Part 1 presents an overview of significance testing issues. The next part discusses the debate in which significance testing should be rejected or retained. The third part outlines various methods that may supplement significance testing procedures. Part 4 discusses Bayesian approaches and methods and the use of confidence intervals versus significance tests. The book concludes with philosophy of science perspectives. Rather than providing definitive prescriptions, the chapters are largely suggestive of general issues, concerns, and application guidelines. The editors allow readers to choose the best way to conduct hypothesis testing in their respective fields. For anyone doing research in the social sciences, this book is bound to become "must" reading. Ideal for use as a supplement for graduate courses in statistics or quantitative analysis taught in psychology, education, business, nursing, medicine, and the social sciences, the book also benefits independent researchers in the behavioral and social sciences and those who teach statistics.
Gay Macho

A sociological study of the emergence of the gay male culture from the explosion of gay liberation in the early 1970s through the beginning of the AIDS crisis of the mid-1980s. The first half of the book is the dissertation of Levine, who based it primarily on field work conducted in Greenwich Village's growing gay community in the late 1970s. He looks at the sociology of gay masculinity, hypermasculine sexuality and gender confirmation, and the birth of the "gay clone." The second half of the work is made up of essays which chronicle the beginning of the AIDS epidemic, examine the myth of sexual compulsivity, and look at the implications of constructionist theory for social research on the AIDS epidemic. Annotation copyrighted by Book News, Inc., Portland, OR
Pragmatics of Uncertainty

A fair question to ask of an advocate of subjective Bayesianism (which the author is) is "how would you model uncertainty?" In this book, the author writes about how he has done it using real problems from the past, and offers additional comments about the context in which he was working.