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This book designates Visualization Psychology as an interdisciplinary subject. The book contains literature reviews and experimental works that exemplify a range of open questions at this critical intersection. It also includes discourses that envision how the subject may be developed in the coming years and decades. The field of visualization is a rich playground for discovering new knowledge in both visualization and psychology. As visualization techniques augment human cognition, these techniques must be developed and improved by building on theoretical, empirical and methodological knowledge from psychology. At the same time, visualization processes surface numerous phenomena about interactions between the human mind and digital entities, such as data, visual imagery, algorithms, and computer-generated predictions and recommendations. Visualization psychology is a new type of science in the making.
The second edition enables psychologists to gain a better understanding of what is unique and intriguing about this area of study. It follows a groundbreaking visual approach that helps them quickly and easily learn the subject. With numerous illustrations and graphics, the book brings complex concepts to life. The links between theory and application are also clearly presented. Psychologists will benefit from this visually-oriented look into the field because it’s more engaging than other resources.
How we see and how we visualize: why the scientific account differs from our experience.
This volume presents a selection of contributions from the Fifth Workshop on Informatics and Psychology at Schärding, Austria, May 1986, which focused on "Visual Aids in Programming". The lectures give a broad view of the state of the art in this new field of research and development spanning Cognitive Science, Informatics and Ergonomics, which draws its impact from the growing need for a deeper understanding of complex program structures and for better program design. The topics include the visualization of program structures, the discussion of psychological aspects, design problems of visual interfaces, and present implementations.
"This new edition has many new and enhanced features while it continues to rely heavily on the integration of visuals to elucidate concepts to solidify an understanding of them. Examples throughout show how to use psychology in the workplace and in personal relationships, while demonstrating the role psychology plays in other practical everyday issues. This book helps examine personal studying and learning styles with several new pedagogical aids -- encouraging readers to apply what they are learning to their everyday lives"--
This text is an unbound, binder-ready edition. Visualizing Psychology, Third Edition helps students examine their own personal studying and learning styles with several new pedagogical aids--encouraging students to apply what they are learning to their everyday lives while offering ongoing study tips and psychological techniques for mastering the material. Most importantly, students are provided with numerous opportunities to immediately access their understanding.
`I would recommend reading this enjoyable book in which the authors convey practical, creative and compassionate authenticity throughout. I think it will appeal to experienced counsellors, psychotherapists and arts therapists. It will also be a valuable resource to students′ - Therapy Today `Hall et al bring many years of practice and academic experience to their material. The book is accessible in its style and makes extensive use of interesting case histories′ - Eisteach (Journal for the Irish Association of Counselling and Psychotherapy) `fascinating scenarios.... a useful book to have - I have really enjoyed reading it′ - International Arts Therapies Journal (Online) Guided Imagery is a unique, practical guide to using imagery in one-to-one therapeutic work with clients. Through numerous examples drawn from their own experience, the authors show how the techniques involved can be integrated into everyday practice. The authors describe the different processes of using guided imagery and working from a script and show how drawing can be used to augment imagery work. In addition to planned strategies for using imagery, they also show how images which arise spontaneously during sessions can be harnessed and used to enhance the therapeutic process. The practical strategies and techniques outlined in the book are examined in the context of a variety of theoretical frameworks (the person-centred approach, gestalt, existentialism and psychosynthesis) and research findings. Potential pitfalls and ethical considerations are also explored, making Guided Imagery a useful resource for practitioners and an ideal text for use on counselling and psychotherapy training courses.
Research methods and statistics are central to the development of professional competence and evidence based psychological practice. (Noun, masculine) research on the development of psychological literacy. Despite this, many psychology students express little interest in, and in some cases of active dislike of, learning research methods and statistics. This ebook brings together current research, innovative evidence-based practice, and critical discourse.
Interpreting and Reporting Statistical Results In the realm of psychological research, the ability to interpret and report statistical results accurately is paramount. This chapter delves into the essential guidelines and practices that researchers must follow to communicate findings effectively and responsibly. As psychologists often work with complex data sets, the interpretation of statistical results demands clarity, precision, and rigor. Understanding Statistical Output The first step in interpreting statistical results is to comprehend the output generated by statistical software. This output typically includes a range of statistics such as p-values, confidence intervals, regression coefficients, and others, depending on the analysis conducted. Each of these elements conveys critical information, which must be accurately interpreted to draw meaningful conclusions. For example, in hypothesis testing, the p-value indicates the probability of obtaining results as extreme as observed, assuming the null hypothesis is true. A p-value less than the predefined alpha level (commonly set at 0.05) leads to the rejection of the null hypothesis. Researchers must not only report the p-value but also contextualize it within the broader framework of the study, including the sample size and effect size.