Thoughts, reflections and experiences voiced by ancient sages appear in this book as ''coaching conversations''. Their wisdom creates a vibrant landscape populated with insights which help us to reflect upon and discuss emotions encountered in personal transformation and constant workplace change. They allow us to process past experiences and emotions in order to move on.James Carlopio shows us that coaching for personal improvement has occurred since time-immemorial. These ancient quotes illuminate modern-day socio-cognitive constructs and techniques used in coaching psychology. The ''coaching conversation'' itself is grounded in the constructivist-narrative approaches used within Solution-Focused Brief Therapy.These ancient quotes will assist readers to undergo personal transitions, Executive Coaches to facilitate workplace change and Life Coaches in personal development. Positive Psychology and important areas in coaching psychology are referenced in the Introduction and section openings.Supported by a subject index, this luminous work is grouped into sections addressing:awareness of self and others life, death, health and happiness wisdom, communication and learning achievement, goals and effortThe text is designed to help people access emotion, express emotion, acknowledge emotion, release emotion and move on gracefully to happier, more successful and less stressed lives.

Categorical data-comprising counts of individuals, objects, or entities in different categories-emerge frequently from many areas of study, including medicine, sociology, geology, and education. They provide important statistical information that can lead to real-life conclusions and the discovery of fresh knowledge. Therefore, the ability to manipulate, understand, and interpret categorical data becomes of interest-if not essential-to professionals and students in a broad range of disciplines.

Although t-tests, linear regression, and analysis of variance are useful, valid methods for analysis of measurement data, categorical data requires a different methodology and techniques typically not encountered in introductory statistics courses. Developed from long experience in teaching categorical analysis to a multidisciplinary mix of undergraduate and graduate students, A Course in Categorical Data Analysis presents the easiest, most straightforward ways of extracting real-life conclusions from contingency tables. The author uses a Fisherian approach to categorical data analysis and incorporates numerous examples and real data sets. Although he offers S-PLUS routines through the Internet, readers do not need full knowledge of a statistical software package.

In this unique text, the author chooses methods and an approach that nurtures intuitive thinking. He trains his readers to focus not on finding a model that fits the data, but on using different models that may lead to meaningful conclusions. The book offers some simple, innovative techniques not highighted in other texts that help make the book accessible to a broad, interdisciplinary audience. A Course in Categorical Data Analysis enables readers to quickly use its offering of tools for drawing scientific, medical, or real-life conclusions from categorical data sets.