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Current western feminism and psychology have a particularly close relationship, with feminism finding an increasingly important voice in psychology. In this clear introductory text, originally published in 1989, Corinne Squire examines what feminism and psychology mean to each other, concentrating on the different ways in which feminism is articulated in psychology. Each of the feminist ‘movements’ within psychology is explored, with clear and critical explanations of the ways in which they differ significantly from conventional psychology. Squire looks at the dominant, egalitarian form of feminist psychology, which tries to work within traditional psychology, and at the woman-centred feminist psychology, which has developed largely outside the conventional discipline, and analyses the limitations and advantages of these approaches. She goes on to look at more complex feminist attempts to deal with psychological concerns, and identifies feminist initiatives, throughout psychology and outside it, which manage to address psychological issues but refuse to respect the boundaries of mainstream psychology, forming instead helpful associations with other forms of knowledge in order to change the nature of psychological discourse.
Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics. You'll find advice on: –Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan –How to think about p values, significance, insignificance, confidence intervals, and regression –Choosing the right sample size and avoiding false positives –Reporting your analysis and publishing your data and source code –Procedures to follow, precautions to take, and analytical software that can help Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong.
This work provides a thought-provoking account of how medical treatments can be tested with unbiased or 'fair' trials and explains how patients can work with doctors to achieve this vital goal. It spans the gamut of therapy from mastectomy to thalidomide and explores a vast range of case studies.
A clearly written, sophisticated summary of and prospectus for a flourishing current field of anthropological research.
In the United States, some populations suffer from far greater disparities in health than others. Those disparities are caused not only by fundamental differences in health status across segments of the population, but also because of inequities in factors that impact health status, so-called determinants of health. Only part of an individual's health status depends on his or her behavior and choice; community-wide problems like poverty, unemployment, poor education, inadequate housing, poor public transportation, interpersonal violence, and decaying neighborhoods also contribute to health inequities, as well as the historic and ongoing interplay of structures, policies, and norms that shape lives. When these factors are not optimal in a community, it does not mean they are intractable: such inequities can be mitigated by social policies that can shape health in powerful ways. Communities in Action: Pathways to Health Equity seeks to delineate the causes of and the solutions to health inequities in the United States. This report focuses on what communities can do to promote health equity, what actions are needed by the many and varied stakeholders that are part of communities or support them, as well as the root causes and structural barriers that need to be overcome.
Providing easy-to-use R script programs that teach descriptive statistics, graphing, and other statistical methods, Learning Statistics Using R shows readers how to run and utilize R, a free integrated statistical suite that has an extensive library of functions. Randall E. Schumacker’s comprehensive book describes in detail the processing of variables in statistical procedures. Covering a wide range of topics, from probability and sampling distribution to statistical theorems and chi-square, this introductory book helps readers learn not only how to use formulae to calculate statistics, but also how specific statistics fit into the overall research process. Learning Statistics Using R covers data input from vectors, arrays, matrices and data frames, as well as the input of data sets from SPSS, SAS, STATA and other software packages. Schumacker’s text provides the freedom to effectively calculate, manipulate, and graphically display data, using R, on different computer operating systems without the expense of commercial software. Learning Statistics Using R places statistics within the framework of conducting research, where statistical research hypotheses can be directly addressed. Each chapter includes discussion and explanations, tables and graphs, and R functions and outputs to enrich readers′ understanding of statistics through statistical computing and modeling.
The Concise Encyclopedia of Statistics presents the essential information about statistical tests, concepts, and analytical methods in language that is accessible to practitioners and students of the vast community using statistics in medicine, engineering, physical science, life science, social science, and business/economics. The reference is alphabetically arranged to provide quick access to the fundamental tools of statistical methodology and biographies of famous statisticians. The more than 500 entries include definitions, history, mathematical details, limitations, examples, references, and further readings. All entries include cross-references as well as the key citations. The back matter includes a timeline of statistical inventions. This reference will be an enduring resource for locating convenient overviews about this essential field of study.
The development of recombinant DNA methods has changed the face of the food industry over the last 50 years. Crops which have been genetically modified are being cultivated in more and more countries and this process is likely to accelerate as desirable traits are identified and transferred to appropriate organisms, and they are cleared by the regulatory authorities. However, the technique has its critics who claim that modification of the genome of the plant (or animal) in this way may pose unknown and unacceptable risks to the human consumer. Genetic Modification and Food Quality: A Down to Earth Analysis is the first comprehensive text on how GM production methods influence the quality of foods and feeds, based on a complete and unbiased assessment of the scientific findings. It presents a balanced analysis of the benefits and drawbacks of gene-modified food sources in the human diet. Chapters approach the topic with regard to different food types such as cereal grains, oilseed crops, vegetables, fish and animal products. Assessing the nutritive value as well as the health and safety of GMO foods, this book is a reference for anyone working in the food production industry and will also be of an interest to NGOs, trade associations and consumers who are looking for an objective, balanced study of this contentious issue.
This book gathers cutting-edge research and best practices relating to occupational risk and safety management, healthcare, and ergonomics. It covers strategies for different industries, such as construction, chemical and healthcare. It emphasizes challenges posed by automation, discusses solutions offered by technologies, and reports on case studies carried out in different countries. Chapters are based on selected contributions to the 20th International Symposium on Occupational Safety and Hygiene (SHO 2023), held on July 20-21, 2023, in Portugal, as a hybrid event. By reporting on different perspectives, such as the ones from managers, employees, and OSH professionals, and covering timely issues, such as implications of telework, issues related to gender inequality and applications of machine learning techniques in occupational health, this book offers extensive information and a source of inspiration to OSH researchers, practitioners and organizations operating in both local and global contexts.
Over the past 35 years urban sociolinguistics has developed upon the base of detailed case studies carried out mainly in western countries. A fundamental dichotomy informing the interpretation of variation has been carried out within what is termed the “standard-vernacular model”. Higher vs. lower social class, power vs. solidarity, open networks vs. closed networks are a few of the conceptual dyads which have been invoked to order linguistic variation operating with an input from a standard/vernacular source. The present study, based on the spoken Arabic of Maiduguri, Nigeria, focuses on a linguistic landscape where the notions of “standard” and “vernacular” are of little relevance in ordering urban linguistic variants. It is argued that linguistic variation is best conceptualized and ordered in terms of the twin variables of neighborhood and ancestral norms. A detailed analysis of 13 linguistic variables based on a corpus of about 500,000 words invokes an urban linguistic world different from that in the West. To integrate this landscape into current sociolinguistic thinking a typology of urban variation is outlined using familar, yet relatively unutilized sociolinguistic parameters: neighborhood, ancestry, minority status and institutionalization.