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"This is a must-have for any researcher in vocational psychology or career counseling, or anyone who wishes to understand the empirical underpinnings of the practice of career counseling." -Mark Pope, EdD College of Education, University of Missouri - St. Louis past president of the American Counseling Association Today's career development professional must choose from a wide array of theories and practices in order to provide services for a diverse range of clients. Career Development and Counseling: Putting Theory and Research to Work focuses on scientifically based career theories and practices, including those derived from research in other disciplines. Driven by the latest empirical and practical evidence, this text offers the most in-depth, far-reaching, and comprehensive career development and counseling resource available. Career Development and Counseling includes coverage of: Major theories of career development, choice, and adjustment Informative research on occupational aspirations, job search success, job satisfaction, work performance, career development with people of color, and women's career development Assessment of interests, needs and values, ability, and other important constructs Occupational classification and sources of occupational information Counseling for school-aged youth, diverse populations, choice-making, choice implementation, work adjustment, and retirement Special needs and applications including those for at-risk, intellectually talented, and work-bound youth; people with disabilities; and individuals dealing with job loss, reentry, and career transitions Edited by two of the leading figures in career development, and featuring contributions by many of the most well-regarded specialists in the field, Career Development and Counseling: Putting Theory and Research to Work is the one book that every career counselor, vocational psychologist, and serious student of career development must have.
As I begin to write this Preface, I feel a rush of excitement. I have now finished the book; my gestalt is coming into completion. Throughout the months that I have been writing this, I have, indeed, been intrinsically motivated. Now that it is finished I feel quite competent and self-determining (see Chapter 2). Whether or not those who read the book will perceive me that way is also a concern of mine (an extrinsic one), but it is a wholly separate issue from the intrinsic rewards I have been experiencing. This book presents a theoretical perspective. It reviews an enormous amount of research which establishes unequivocally that intrinsic motivation exists. Also considered herein are various approaches to the conceptualizing of intrinsic motivation. The book concentrates on the approach which has developed out of the work of Robert White (1959), namely, that intrinsically motivated behaviors are ones which a person engages in so that he may feel competent and self-determining in relation to his environment. The book then considers the development of intrinsic motiva tion, how behaviors are motivated intrinsically, how they relate to and how intrinsic motivation is extrinsically motivated behaviors, affected by extrinsic rewards and controls. It also considers how changes in intrinsic motivation relate to changes in attitudes, how people attribute motivation to each other, how the attribution process is motivated, and how the process of perceiving motivation (and other internal states) in oneself relates to perceiving them in others.
Clinical Applications of the Personality Assessment Inventory demonstrates the broad clinical utility of this modern multi-scale self-report measure of psychological functioning. By bringing together leading experts in psychological assessment from diverse applied settings, the book illustrates the impressive range of current Personality Assessment Inventory (PAI) applications while providing recommendations for expanding the instrument’s research base and clinical use. Many authors also present population specific PAI reference data. In this timely volume, experts from specialized areas of psychological assessment integrate the relevant research with their extensive clinical knowledge of the PAI, making this a valuable text for practitioners, students, and researchers.
This landmark work summarizes the current state of the field of vocational career counseling and examines its most pressing issues: What are vocational interests, and how do they develop? How can vocational interests be measured? How should counselors use interest measures in career intervention?
Knowledge Discovery and Measures of Interest is a reference book for knowledge discovery researchers, practitioners, and students. The knowledge discovery researcher will find that the material provides a theoretical foundation for measures of interest in data mining applications where diversity measures are used to rank summaries generated from databases. The knowledge discovery practitioner will find solid empirical evidence on which to base decisions regarding the choice of measures in data mining applications. The knowledge discovery student in a senior undergraduate or graduate course in databases and data mining will find the book is a good introduction to the concepts and techniques of measures of interest. In Knowledge Discovery and Measures of Interest, we study two closely related steps in any knowledge discovery system: the generation of discovered knowledge; and the interpretation and evaluation of discovered knowledge. In the generation step, we study data summarization, where a single dataset can be generalized in many different ways and to many different levels of granularity according to domain generalization graphs. In the interpretation and evaluation step, we study diversity measures as heuristics for ranking the interestingness of the summaries generated. The objective of this work is to introduce and evaluate a technique for ranking the interestingness of discovered patterns in data. It consists of four primary goals: To introduce domain generalization graphs for describing and guiding the generation of summaries from databases. To introduce and evaluate serial and parallel algorithms that traverse the domain generalization space described by the domain generalization graphs. To introduce and evaluate diversity measures as heuristic measures of interestingness for ranking summaries generated from databases. To develop the preliminary foundation for a theory of interestingness within the context of ranking summaries generated from databases. Knowledge Discovery and Measures of Interest is suitable as a secondary text in a graduate level course and as a reference for researchers and practitioners in industry.