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“Dr. Dimitrov has constructed a masterpiece—a classic resource that should adorn the shelf of every counseling researcher and graduate student serious about the construction and validation of high quality research instruments. —Bradley T. Erford, PhD Loyola University Maryland Past President, American Counseling Association “This book offers a comprehensive treatment of the statistical models and methods needed to properly examine the psychometric properties of assessment scale data. It is certain to become a definitive reference for both novice and experienced researchers alike.” —George A. Marcoulides, PhD University of California, Riverside This instructive book presents statistical methods and procedures for the validation of assessment scale data used in counseling, psychology, education, and related fields. In Part I, measurement scales, reliability, and the unified construct-based model of validity are discussed, along with key steps in instrument development. Part II describes factor analyses in construct validation, including exploratory factor analysis, confirmatory factor analysis, and models of multitrait-multimethod data analysis. Traditional and Rasch-based analyses of binary and rating scales are examined in Part III. Dr. Dimitrov offers students, researchers, and clinicians step-by-step guidance on contemporary methodological principles, statistical methods, and psychometric procedures that are useful in the development or validation of assessment scale data. Numerous examples, tables, and figures provided throughout the text illustrate the underlying principles of measurement in a clear and concise manner for practical application. *Requests for digital versions from ACA can be found on www.wiley.com. *To purchase print copies, please visit the ACA website here. *Reproduction requests for material from books published by ACA should be directed to [email protected]
The purpose of this book is to present statistical methods and procedures used in contemporary approaches to validation of targeted construts through the use of asseement scales (test, inventories, questionnaires, surveys). Validity is a property of data and inference made from data rather than a property of scales. The book in divides in three parts : I. Scales, Reliability and Validity. II Factor Analysis in Construct Validation. III. Psychometric Scale Analysis.
Designed to help students learn how to assess clients, conduct treatment planning, and evaluate client outcomes, this practical book addresses specific CACREP competencies. Incorporating case studies and examples, authors Joshua C. Watson and Brandé Flamez provide foundational knowledge for sound formal and informal assessments, cover ethical and legal considerations in assessment, describe basic statistical concepts, highlight the domains in which assessments are commonly used (intelligence, aptitude, achievement, personality, career, etc.), and provide strategies for integrating assessment data when working with clients. Counseling Assessment and Evaluation is part of the SAGE Counseling and Professional Identity Series, which targets specific competencies identified by CACREP (Council for Accreditation of Counseling and Related Programs).
Using a conceptual, non-mathematical approach, the updated Third Edition provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter. Authors Lawrence S. Meyers, Glenn Gamst, and A. J. Guarino integrate innovative multicultural topics in examples throughout the book, which include both conceptual and practical coverage of: statistical techniques of data screening; multiple regression; multilevel modeling; exploratory factor analysis; discriminant analysis; structural equation modeling; structural equation modeling invariance; survival analysis; multidimensional scaling; and cluster analysis.
The general theme of this book is to encourage the use of relevant methodology in data mining which is or could be applied to the interplay of education, statistics and computer science to solve psychometric issues and challenges in the new generation of assessments. In addition to item response data, other data collected in the process of assessment and learning will be utilized to help solve psychometric challenges and facilitate learning and other educational applications. Process data include those collected or available for collection during the process of assessment and instructional phase such as responding sequence data, log files, the use of help features, the content of web searches, etc. Some book chapters present the general exploration of process data in large-scale assessment. Further, other chapters also address how to integrate psychometrics and learning analytics in assessment and survey, how to use data mining techniques for security and cheating detection, how to use more assessment results to facilitate student’s learning and guide teacher’s instructional efforts. The book includes both theoretical and methodological presentations that might guide the future in this area, as well as illustrations of efforts to implement big data analytics that might be instructive to those in the field of learning and psychometrics. The context of the effort is diverse, including K-12, higher education, financial planning, and survey utilization. It is hoped that readers can learn from different disciplines, especially those who are specialized in assessment, would be critical to expand the ideas of what we can do with data analytics for informing assessment practices.
In Practicing Forgiveness, the author reviews the contextual and cultural aspects of forgiveness with stories, humor, clinical examples, research, and empirical findings while examining the influence of environment and religion. The content is presented in such a way so as to serve as a resource to both professional mental health providers (who can benefit from the theoretical and empirical underpinnings of working with clients through the forgivenessprocess) and lay readers (who can benefit from the processing and self-help components of the book).
Everyone wants their research to be read and to be relevant. This exciting new guide presents a broad range of ideas for enhancing research impact and relevance. Bringing together researchers from all stages of academic life, it offers a far-reaching discussion of strategies to optimise relevancy in the modern research environment.
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This book addresses the urgent need for insights into integrating digital technologies in EFL teaching. The book explores strategies for leveraging e-learning tools to enhance language learning experiences. Methodologically, it synthesizes existing literature, incorporates case studies, and gathers insights from interviews with experienced EFL instructors. Key findings highlight the effectiveness of digital strategies in promoting language acquisition, engagement, and interactivity. However, limitations include challenges related to technology access and varying digital literacy levels among students. The book’s impact lies in reshaping EFL pedagogy by bridging traditional methods with contemporary digital resources. The contribution to research is evident in synthesizing current scholarship and identifying emerging trends in digital language education. Practitioners benefit from practical applications, fostering innovation in teaching approaches. “Digital Pathways in English Pedagogy” is a valuable resource fostering a paradigm shift in EFL instruction by embracing the transformative potential of digital technologies.