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This new text provides a state-of the-art introduction to educational and psychological testing and measurement theory that reflects many intellectual developments of the past two decades. The book introduces psychometric theory using a latent variable modeling (LVM) framework and emphasizes interval estimation throughout, so as to better prepare readers for studying more advanced topics later in their careers. Featuring numerous examples, it presents an applied approach to conducting testing and measurement in the behavioral, social, and educational sciences. Readers will find numerous tip
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Positive psychological capital (PsyCap) is the name given to a set of psychological dimensions (hope, resilience, self-efficacy, and optimism) that may support students in their effort to achieve better academic results and even improve the employability of graduates. These dimensions could help students to achieve better academic results and impact fresh graduates' ability to stand the labour market in times of crisis. A scale, called Academic PsyCap, was specifically developed to evaluate the four PsyCap dimensions among students and fresh graduates. To deeply investigate the structural validity of the scale, three alternative models (one-factor model, correlated four-factor model, bifactor model) were run on the responses provided by about 1,600 fresh graduates at the University of Padua. The results indicated that the bifactor model fit the data better than the other two models. In this model, all items significantly loaded on both their own domain specific factor and on the general factor. The values of Percentage of Uncontaminated Correlations (PUC), Explained Common Variance (ECV), and Hierarchical Omega suggested that multidimensionality in the scale was not severe enough to disqualify the use of a total PsyCap score. The scale was found to be invariant across gender and academic degree (bachelor's and master's degree). Internal consistency indices were satisfactory for the four dimensions and the total scale.
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"The general theme of this book is to present the innovative psychometric modeling and methods. In particular, this book includes research and successful examples of modeling techniques for new data sources from digital assessments, such as eye-tracking data, hint uses, and process data from game-based assessments. In addition, innovative psychometric modeling approaches, such as graphical models, item tree models, network analysis, and cognitive diagnostic models, are included. Chapters 1, 2, 4 and 6 are about psychometric models and methods for the learning analytics. The first two chapters focused on advanced cognitive diagnostic models for tracking learning and the improvement of attribute classification accuracy. Chapter 4 demonstrated the use of network analysis for learning analytics. Chapter 6 introduced the conjunctive root causes model for the understanding of prerequisite skills in learning. Chapters 3, 5, 8, 9 are about innovative psychometric techniques to model process data. Specifically, Chapters 3 and 5 illustrated the usage of generalized linear mixed effect models and Item Tree Models to analyze eye-tracking data. Chapter 8 discussed the modeling approach of hint uses and response accuracy in learning environment. Chapter 9 demonstrated the identification of observable outcomes in the game-based assessments. Chapters 7 and 10 introduced innovative latent variable modeling approaches, including the graphical and generalized linear model approach and the dynamic modeling approach. In summary, the book includes both theoretical, methodological, and applied research and practices that serve as the foundation for future development. These chapters provide illustrations of efforts to model and analyze multiple data sources from digital assessments. When computer-based assessments are emerging and evolving, it is important that researchers can expand and improve the methods for modeling and analyzing the new data sources in order to better provide diagnostic information about the students. This book provides a useful resource to researchers who are interested in the development of psychometric methods to solve issues in this digital assessment age"--
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Current career counselling needs a shift away from the practice of modern counselling approaches, and narrative therapy is likely to be particularly appropriate, since it is part of the culture and way of life of the majority of our clients. For the very first time, current approaches have been brought together in one publication. Eminent scholars, including Larry Cochran, Mark Savickas, and Norm Amundson, Paul Hartung and John Winslade, contributed to the publication. Personal narratives of some exceptionally eminent people, including Robert Sternberg are also included. The publication is concluded by Reuven Bar-On and Maurice Elias, who delineate the connection between storied counselling and social and emotional learning. This book provides a priceless resource for scholars, academics, researchers, psychologists, teachers and clients. It § critically analyses germane questions, such as "How vital and feasible is it to build on life stories in career counselling?" § examines the theoretical underpinnings and practical applications of hermeneutic-narrative, postmodern and constructivist approaches to career counselling § provides practical guidelines on the practice of narrative counselling in different contexts § presents ideas on how to engage clients actively § suggests ways of using life story counselling (including the Career-Story Interview) to produce new identities for career practice.
Vocational guidance. --- Narrative therapy. --- Psychometrics.
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Psychology --- Psychometrics --- Report writing --- Experiments
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Educational Measurement. --- Psychological Tests. --- Psychological tests --- Psychological tests. --- Psychologie. --- Psychometrics --- Psychometrics. --- Psychométrie. --- Test. --- Tests psychologiques. --- psychodiagnostiek
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