1910. Magnetism, mesmerism, suggestive therapeutics and magnetic healing, including all that is known in the art and practice of hypnotism, mesmerism, mental and magnetic healing. Prepared for the self instruction of beginners as well as for the use of advanced students and practitioners.
In this seminal new study of resilience, Meg Jay tells the stories of a diverse group of people who have overcome trauma in their childhoods to go on and live successful lives as adults. These are the 'supernormal', who having shouldered greater than average hardship as children defy expectation and achieve better than average success as adults. But how, and at what cost? Whether it was experiencing parental divorce, or growing up with an alcohol or drug-abusing parent, living with a parent or sibling with mental illness, being bullied, living in poverty, being a witness to domestic violence, suffering physical or emotional neglect, the people Meg Jay introduces us to are all survivors. She explores what they have in common that made it possible for them to transcend the trauma of their early years and to build successful adult lives. And she asks the questions: What was the cost of developing those powers? And having survived, even thrived, how do you go on and build a trusting, fulfilled life? Drawing on her clinical experience with survivors of childhood trauma, Meg Jay documents ordinary people made extraordinary by the experience of all-too-common trauma. Bringing together personal, scientific and cultural knowledge Jay gives a voice to the experience of the 'supernormal', furnishes them with the tools to better understand themselves and take full advantage of their strengths, and gives a window into their world for those who seek to understand them.
These are the 'supernormal', who having shouldered greater than average hardship as children defy expectation and achieve better than average success as adults. But how, and at what cost?
How to Use SPSS® is designed with the novice computer user in mind and for people who have no previous experience of using SPSS. Each chapter is divided into short sections that describe the statistic being used, important underlying assumptions, and how to interpret the results and express them in a research report. The book begins with the basics, such as starting SPSS, defining variables, and entering and saving data. It covers all major statistical techniques typically taught in beginning statistics classes, such as descriptive statistics, graphing data, prediction and association, parametric inferential statistics, nonparametric inferential statistics and statistics for test construction. More than 250 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises. A complete set of online resources including video tutorials and output files for students, and PowerPoint slides and test bank questions for instructors, make How to Use SPSS® the definitive, field-tested resource for learning SPSS. New to this edition: Fully updated to SPSS 24 and IBM SPSS Statistics Cloud New chapter on ANOVA New material on inter-rater reliability New material on syntax Additional coverage of data entry and management
More than 250 screenshots (including sample output) throughout the book show students exactly what to expect as they follow along using SPSS. The book includes a glossary of statistical terms and practice exercises.
This book offers examples of programs designed for analysis of variance and related statistical tests of significance that can be run with SPSS. The reader may copy these programs directly, changing only the names or numbers of levels of factors according to individual needs. Ways of altering command specifications to fit situations with larger numbers of factors are discussed and illustrated, as are ways of combining program statements to request a variety of analyses in the same program. The first two chapters provide an introduction to the use of SPSS, Versions 3 and 4. General rules concerning the use of commands, subcommands, and keywords are discussed, providing a specific introduction to the use of SPSS for analysis of variance. They provide detailed programs for obtaining omnibus F tests in completely randomized designs and for designs that include repeated measures factors. The remaining chapters may be read independently and in any order.
This book offers examples of programs designed for analysis of variance and related statistical tests of significance that can be run with SPSS.