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Significant advancements in methodologies and statistical techniques in cross-cultural psychological research abound, but general practice, education, and most researchers in psychology rarely use them. This leads to misinterpretations, misrepresentations, and prejudice. The authors expertly demonstrate the importance of methodological rigor to safeguard appropriate inferences about similarities and differences, particularly when methods have not been developed in the cultural contexts where they are used. The book features acculturation and identity, including contributions on remote acculturation, religiosity, and organizational contexts. It also covers individual differences and evaluates methodological progress in educational assessment, emotions, motivation, and personality. Methodological and psychometric perspectives on equivalence and bias, as well as measurement invariance in cross-cultural research, are a central theme. From study design to data interpretation, it is essential for psychology, and the social sciences in general, to adopt methods and assessment procedures that are more rigorous for culture-comparative studies.
The second edition of Statistics for Social Sciences prepares students from a wide range of disciplines to interpret and learn the statistical methods critical to their field of study. By using the General Linear Model (GLM), the author builds a foundation that enables students to see how statistical methods are interrelated enabling them to build on the basic skills. The author makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this edition will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting, and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice, and reflection questions.
Journal publication and grant writing are two core professional skills for new scholars today. However, systematic training is not typically offered in graduate programs worldwide. This book equips readers with the current scientific knowledge by providing a concise introduction to the science of journal article publication. The overall structure generally matches the curriculum of a graduate course and each chapter features a learning sequence based on Daniel Kahneman's intuitive judgement theory. The volume analyzes the intuitive thoughts of new authors from a variety of countries, uses over fifty real-life cases, and focuses on core concepts from nearly 100 research articles. It provides scientific advice for new authors, junior researchers, and graduate students to publish their scholarly work and advance their academic careers.
Delivering professional presentations of scientific work is an important part of an academic's life. Oral presentations are important not only because you present your scientific work, but also because you present yourself to potential hiring committees, grant committees, and collaborators. This book uses insights from the field of psychology, as well as from the theatre, to teach you how to make a lasting impression. It addresses core topics such as how to design presentation slides, how to practice, and how to deliver your presentation to a range of audiences. Useful exercises are provided to help you cope with presentation anxiety, make the most out of conferences, and adapt your presentation to various formats, audiences, and cultures. It is not easy to present with impact, but this book contains the guidance you need to master the art of presenting.
Creativity is at the heart of successful research, yet researchers are rarely taught how to manage their creative process, and modern academic life is not structured to optimize creativity. Creativity in Research provides concrete guidance on developing creativity for anyone doing or mentoring research. Based on a curriculum developed at Stanford University's Hasso Plattner Institute of Design, this book presents key abilities that underlie creative research practice through a combination of scientific literature on creative confidence, experiential exercises, and guided reflection. By focusing attention on how research happens as well as its outputs, researchers increase their ability to address research challenges and produce the outputs they care about. Simultaneously, they may also transform their emotional relationship with their work, replacing stress and a harsh inner critic with a more open and emotionally empowered attitude.
Qualitative Studies of Silence brings together influential qualitative researchers from across the social sciences and humanities who have sought to understand the power of what remains unsaid, both psychologically and socially. Each chapter identifies one or more signs of silence and explains how these can form the basis of a rigorous qualitative investigation. The authors also demonstrate how silences operate in our private and collective lives by fulfilling psychological, relational, institutional, and ideological functions. The book contains multiple disciplinary perspectives and presents analyses of wide-ranging topics, such as medical consultations, whistleblowers, silence in court, omission-as-propaganda, trauma survivors, the silence of war museums, racism in the Americas, gendered silences, paid domestic labour, the undocumented student movement, and the Nazi past. This collection shows how such qualitative studies can reveal and contribute to understanding the unsaid as social action.
Schooling matters. The authors' professional pursuits for over twenty-five years have been focused on measuring one key aspect of schooling: the curriculum - what students are expected to study and what they spend their time studying. This documents their conviction that schools and schooling play a vital and defining role in what students know and are able to do with respect to mathematics and science. This research examines seventeen international studies of mathematics and science to provide a nuanced comparative education study. Whilst including multiple measures of students' family and home backgrounds, these studies measure the substance of the curriculum students study which has been shown to have a strong relationship with student performance. Such studies have demonstrated the interrelatedness of student background and curriculum. Student background influences their opportunities to learn and their achievements, yet their schooling can have even greater significance.
Improving Learning centres on the findings from different areas of education-focused research that support evidence-informed teaching and contextualises these results to optimise decision-making in schools. It also describes the origins and principles of meta-analysis in education and how this identifies the successes in improving learning in classrooms. Moreover, it explains the thinking behind the 'Teaching and Learning Toolkit' and similar approaches, which seek a big-picture overview of research findings. The advantages and disadvantages of this approach are explored with practical examples. Additionally, it identifies the issues in using research evidence in education and the steps that can be taken to improve this. It is not a manual on how to conduct a meta-analysis; instead the focus is on developing understanding of the approach in order to present its strengths and weaknesses. This understanding can advance critical engagement and effective use to improve educational outcomes for children and young people.
The field of mathematical psychology began in the 1950s and includes both psychological theorizing, in which mathematics plays a key role, and applied mathematics motivated by substantive problems in psychology. Central to its success was the publication of the first Handbook of Mathematical Psychology in the 1960s. The psychological sciences have since expanded to include new areas of research, and significant advances have been made in both traditional psychological domains and in the applications of the computational sciences to psychology. Upholding the rigor of the original Handbook, the New Handbook of Mathematical Psychology reflects the current state of the field by exploring the mathematical and computational foundations of new developments over the last half-century. The second volume focuses on areas of mathematics that are used in constructing models of cognitive phenomena and decision making, and on the role of measurement in psychology.
Eye-tracking is quickly becoming a valuable tool in applied linguistics research as it provides a 'real-time', direct measure of cognitive processing effort. This book provides a straightforward introduction to the technology and how it might be used in language research. With a strong focus on the practicalities of designing eye-tracking studies that achieve the standard of other well-established experimental techniques, it provides valuable information about building and designing studies, touching on common challenges and problems, as well as solutions. Importantly, the book looks at the use of eye-tracking in a wide variety of applied contexts including reading, listening and multi-modal input, writing, testing, corpus linguistics, translation, stylistics, and computer-mediated communication. Each chapter finishes with a simple checklist to help researchers use eye-tracking in a wide variety of language studies. Discussion is grounded in concrete examples, which will allow users coming to the technology for the first time to gain the knowledge and confidence to use it to produce high quality research.
Computational modeling is now ubiquitous in psychology, and researchers who are not modelers may find it increasingly difficult to follow the theoretical developments in their field. This book presents an integrated framework for the development and application of models in psychology and related disciplines. Researchers and students are given the knowledge and tools to interpret models published in their area, as well as to develop, fit, and test their own models. Both the development of models and key features of any model are covered, as are the applications of models in a variety of domains across the behavioural sciences. A number of chapters are devoted to fitting models using maximum likelihood and Bayesian estimation, including fitting hierarchical and mixture models. Model comparison is described as a core philosophy of scientific inference, and the use of models to understand theories and advance scientific discourse is explained.
Written by a quantitative psychologist, this textbook explains complex statistics in accessible language to undergraduates in all branches of the social sciences. Built around the central framework of the General Linear Model (GLM), Statistics for the Social Sciences teaches students how different statistical methods are interrelated to one another. With the GLM as a basis, students with varying levels of background are better equipped to interpret statistics and learn more advanced methods in their later courses. Russell T. Warne makes statistics relevant to students' varying majors by using fascinating real-life examples from the social sciences. Students who use this book will benefit from clear explanations, warnings against common erroneous beliefs about statistics, and the latest developments in the philosophy, reporting and practice of statistics in the social sciences. The textbook is packed with helpful pedagogical features including learning goals, guided practice and reflection questions.
Is there more to qualitative data collection than face-to-face interviews? Answering with a resounding 'yes', this book introduces the reader to a wide array of exciting and novel techniques for collecting qualitative data in the social and health sciences. Collecting Qualitative Data offers a practical and accessible guide to textual, media and virtual methods currently under-utilised within qualitative research. Contributors from a range of disciplines share their experiences of implementing a particular technique, provide step-by-step guidance to using that approach, and highlight both the potential and pitfalls. From gathering blog data to the story completion method to conducting focus groups online, the methods and data types featured in this book are ideally suited to student projects and other time- and resource-limited research. In presenting several innovative ways that data can be collected, new modes of scholarship and new research orientations are opened up to student researchers and established scholars alike.
In Disrupting Boundaries in Education and Research, six educational researchers explore together the potentialities of transdisciplinary research that de-centres human behaviour and gives materiality its due in the making of educational worlds. The book presents accounts of what happens when researchers think and act with new materiality and post-human theories to disrupt boundaries such as self and other, human and non-human, representation and objectivity. Each of the core chapters works with different new materiality concepts to disrupt these boundaries and to consider the emotive, sensory, nuanced, material and technological aspects of learning in diverse settings, such as in mathematics and learning to swim, discovering the bio-products of 'eco-sustainable' building, making videos and contending with digital government and its alienating effects. When humans are no longer at the centre of the unfolding world it is both disorienting and exhilarating. This book is an invitation to continue along these paths.
Written by one of developmental science's foremost methodologists, The Developmental Scientist's Companion provides an engaging and accessible guide to the scientific techniques that have been devised to investigate human development. Adopting an original approach to what can be a dry yet essential topic, Reznick enlivens his coverage of key issues in developmental methodology - measuring psychological phenomena, assessing reliability and validity, experimental design, interviews and surveys, data collection and analysis and interpreting research results - with discussion of his own experiences of those various techniques, gained over a substantial research career. The Companion concludes with practical tips for improving the field and navigating a path to professional success. Reznick's 'behind-the-scenes' view of empirical research and career progression, told with wit, wisdom and insight, is essential reading for students and young researchers launching their careers in developmental science.
Tailored specifically for undergraduate students, this Companion offers uniquely comprehensive coverage of the topics necessary for successful communication in psychology, making it a valuable resource for research methods and introductory psychology courses. Readers will learn how to effectively plan and write papers in accordance with the latest style guidelines from the Publication Manual of the American Psychological Association, Sixth Edition; present data in posters and talks; and evaluate their own and others' work. The clear writing style and reader-friendly format, meanwhile, allow students to absorb information easily, even when reading chapters selectively or out of order. The book includes numerous up-to-date examples drawn from career experiences to engage students and help them apply what they've learned to forward their own careers, while questions encourage them to think more deeply about larger issues in the field, preparing them for future research.
The field of mathematical psychology began in the 1950s and includes both psychological theorizing, in which mathematics plays a key role, and applied mathematics, motivated by substantive problems in psychology. Central to its success was the publication of the first Handbook of Mathematical Psychology in the 1960s. The psychological sciences have since expanded to include new areas of research, and significant advances have been made in both traditional psychological domains and in the applications of the computational sciences to psychology. Upholding the rigor of the first title in this field to be published, the New Handbook of Mathematical Psychology reflects the current state of the field by exploring the mathematical and computational foundations of new developments over the last half-century. This first volume focuses on select mathematical ideas, theories, and modeling approaches to form a foundational treatment of mathematical psychology.
The Psychologist's Companion, 6th edition is written for students, young professionals, and even mid-career scholars. It is the most comprehensive guide available to both written and oral communication processes for academic psychologists. It covers the topics necessary for career success, including planning papers, writing papers, presenting data, evaluating one's papers, writing grant proposals, giving talks, finding a book publisher, doing job interviews, and doing media interviews. Because the book is in its sixth edition, it is market tested for success in reaching and engaging its readers. Two special (new) pedagogical features are 'Experience is the best teacher', which draws on the authors' personal experiences to help make the book more personalized and exciting to readers, and 'What's wrong here', which gives readers an opportunity for active learning while they read the book. The authors have written the book in a personable and often humorous style that will keep readers engaged.
For many students, the experience of learning about and using qualitative methods can be bewildering. This book is an accessible step-by-step guide to conducting interview-based qualitative research projects. The authors discuss the 'hows' and 'whys' of qualitative research, showing readers the practices as well as the principles behind them. The book first describes how to formulate research questions suited to qualitative inquiry. It then discusses in detail how to select and invite research participants into a study and how to design and carry out good interviews. It next presents several ways to analyze interviews and provides readers with many worked examples of analyses. It also discusses how to synthesize findings and how to present them. Doing Interview-based Qualitative Research equips readers in disciplines such as psychology, sociology, education, counseling, nursing, and public health with the knowledge and skills necessary to embark on their own projects.
Best-worst scaling (BWS) is an extension of the method of paired comparison to multiple choices that asks participants to choose both the most and the least attractive options or features from a set of choices. It is an increasingly popular way for academics and practitioners in social science, business, and other disciplines to study and model choice. This book provides an authoritative and systematic treatment of best-worst scaling, introducing readers to the theory and methods for three broad classes of applications. It uses a variety of case studies to illustrate simple but reliable ways to design, implement, apply, and analyze choice data in specific contexts, and showcases the wide range of potential applications across many different disciplines. Best-worst scaling avoids many rating scale problems and will appeal to those wanting to measure subjective quantities with known measurement properties that can be easily interpreted and applied.