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Books > Social sciences > Psychology > Psychological methodology > General
A friendly, straightforward guide that does not assume knowledge of programming, this book helps new R users hit the ground running. Eric L. Einspruch provides an overview of the software and shows how to download and install R, RStudio, and R packages. Featuring example code, screenshots, tips, learning exercises, and worked-through examples of statistical techniques, the book demonstrates the capabilities and nuances of these powerful free statistical analysis and data visualization tools. Fundamental aspects of data wrangling, analysis, visualization, and reporting are introduced, using both Base R and Tidyverse approaches. Einspruch emphasizes processes that support research reproducibility, such as use of comments to document R code and use of R Markdown capabilities. The book also helps readers navigate the vast array of R resources available to further develop their skills.
This important new collection provides not only a comprehensive overview of how organizational interventions can improve health and well-being in the workplace - addressing its causes rather than the symptoms - but also the practical issues faced in their design, implementation and evaluation. Drawing on a range of case studies and empirical investigations, it is the first book to seriously examine each element of the intervention process, and to recognize the individual, group, leader and organizational factors that researchers should consider. The authors describe the various challenges to such collaborative processes, as well as the specific methods and tools that can be used in response. Each chapter offers practical, evidence-based guidance. Featuring a final section examining new directions and approaches in organizational intervention research, the book features contributions from some of the leading international researchers in the field. It will be essential reading for any researcher or practitioner interested in the practical issues involved in improving the organization, design and management of the contemporary workplace.
Good Science is an account of psychological research emphasizing the moral foundations of inquiry. This volume brings together existing disciplinary critiques of scientism, objectivism, and instrumentalism, and then discusses how these contribute to institutionalized privilege and to less morally responsive research practices. The author draws on historical, critical, feminist, and science studies traditions to provide an alternative account of psychological science and to highlight the irreducibly moral foundations of everyday scientific practice. This work outlines a theoretical framework for thinking about and practicing psychology in ways that center moral responsibility, collective commitment, and justice. The book then applies this framework, describing psychological research practices in terms of the their moral dilemmas. Also included are materials meant to aid in methods instruction and mentoring.
This book examines key ideas related to the Theory of Subjectivity within a cultural-historical approach. It brings together the intellectual contributions made by Professor Fernando Gonzalez Rey (1949-2019) towards understanding human subjectivity, and emphasizing their unfolding in different fields and contexts. The book addresses the genesis and development of Gonzalez Rey's work, articulating this discussion with the author's biography. Gonzalez Rey's main scientific contribution is the Theory of Subjectivity in a cultural-historical perspective, which is inseparable from Qualitative Epistemology and from its constructive-interpretive methodological expression. The book presents and discusses Gonzalez Rey's contributions to different contexts and fields, such as psychological research, education, cultural-historical psychology, human development, motivation, human health and psychotherapy. This book brings together examples of how these ideas have been employed and developed in different fields and contexts.
This book provides an in-depth examination of psychosocial marital well-being and mental health in traditional communities in Rwanda. It presents rich qualitative research conducted with men, women and elders, highlighting both the issues impacting on marital conflict and domestic violence, and also how potential solutions might be drawn from traditional practices. In doing, so it provides a unique resource for researchers and policymakers seeking to develop evidence-based and culturally-informed mental health and psychosocial support interventions in low and middle income countries. It will appeal in particular to those working the fields of public health, family psychology, social work, cross-cultural psychology and qualitative methodology.
This book explores missing data techniques and provides a detailed and easy-to-read introduction to multiple imputation, covering the theoretical aspects of the topic and offering hands-on help with the implementation. It discusses the pros and cons of various techniques and concepts, including multiple imputation quality diagnostics, an important topic for practitioners. It also presents current research and new, practically relevant developments in the field, and demonstrates the use of recent multiple imputation techniques designed for situations where distributional assumptions of the classical multiple imputation solutions are violated. In addition, the book features numerous practical tutorials for widely used R software packages to generate multiple imputations (norm, pan and mice). The provided R code and data sets allow readers to reproduce all the examples and enhance their understanding of the procedures. This book is intended for social and health scientists and other quantitative researchers who analyze incompletely observed data sets, as well as master's and PhD students with a sound basic knowledge of statistics.
This book presents the reader with a set of diverse, carefully developed and clearly specified systems of transcription and coding, arising from contrasting theoretical perspectives, and presented as alternative choices, situated within the theoretical domain most natural to each. The perspectives represented include first and second language acquisition, interethnic and crosscultural interaction, information structure, and the study of discourse influences on linguistic expression. In the contributed chapters, the designers of these systems provide a distillation of collective experiences from the past quarter century, telling in their own words their perspectives on language processes, how these perspectives have shaped their choice of methodology in transcription and coding of natural language, and describing their systems in detail. Overview chapters by the editors then provide design principles and guidelines concerning issues pertinent to all systems, including such things as reliability, validity, ease of learning, computational tractability, and robustness against error. The final chapter is a compendium of existing computerized archives of language data and information sources together with details concerning data access and use.
Research Methods and Statistics provides a seamless introduction to the subject, identifying various research areas and analyzing how one can approach them statistically. The text provides a solid empirical foundation for undergraduate psychology majors, and prepares the reader to think critically, and evaluate psychological research and claims they might hear in the news or popular press. The text can be used in all statistics, methods and experimental psychology courses.
The topics discussed in this volume have been chosen to represent studies in which both behavioural and neurobiological analysis have been emphasized. They include work on behavioural and neural aspects of imprinting, song learning in birds, and spatial memory of food-storing birds. There are also overviews of neural and behavioural aspects of classical conditioning, the role of the hippocampus in spatial behaviour in mammals, and studies of learning in invertebrate model systems. Each contribution has been written by a leading international authority and gives an up-to-date and concise account of current developments. The volume is based on a Royal Society Discussion Meeting held in February 1990 and the papers are being published in the Society's Philosophical Transactions Series B.
This book investigates interaction-focused scholarship on online communication. It focuses on a broad range of online contexts including social media, dating apps, online comments, instant messaging and video-mediated interaction. Bringing together experts from a variety of scholarly backgrounds, chapters demonstrate how different microanalytic methods, including conversation analysis, membership categorization analysis and discursive psychology, can be applied to online communication. The book also goes on to address ethical, methodological and theoretical issues of analysing online social interaction. With the explosion of the use of online platforms for everyday and institutional interaction, this book is a timely collection which explores the current state of the field, and considers future directions for microanalysis of online communication.
Research Methodology is meant to provide a broad guideline to facilitate and steer the whole of a research activity in any discipline. With the ambit and amount of research increasing by the day, the need for Research Methodology is being widely appreciated. Against this backdrop, we notice the dearth of well-written books on the subject. A Guide to Research Methodology attempts a balance between the generic approach to research in any domain and the wide array of research methods which are to be used in carrying out different tasks in any research. Discussions on these research methods appropriate in various disciplines have focused on the research tasks, keeping in mind the fact that a single such task like a comparison among alternatives may involve several methods from seemingly distinct areas. Unique features of this volume, as will be evident to a discerning reader, include: A detailed discussion on problem areas for research in several domains An illustrative and ampliated list of research problems drawn from different disciplines which can be pursued by interested research workers A comprehensive delineation of Research Design supported by illustrations An elaborate engagement with models with a note on model uncertainty Focus on recent and emerging models, methods and techniques A novel treatment of data analysis where the nature of data and the objective(s) of analysis justify drawing upon a variety of techniques for analysis This book will serve the purpose of a pre-PhD or a Master-level course-work for students of any discipline with a basic knowledge of quantitative analysis. In fact, anyone aspiring to take up meaningful research work will find the content useful and interesting.
This book is the second edition of Facet Theory and the Mapping Sentence: Evolving Philosophy, Use and Application (2014). It consolidates the qualitative and quantitative research positions of facet theory and delves deeper into their qualitative application in psychology, social and the behavioural sciences and in the humanities. In their traditional quantitative guise, facet theory and its mapping sentence incorporate multi-dimensional statistics. They are also a way of thinking systematically and thoroughly about the world. The book is particularly concerned with the development of the declarative mapping sentence as a tool and an approach to qualitative research. The evolution of the facet theory approach is presented along with many examples of its use in a wide variety of research domains. Since the first edition, the major advance in facet theory has been the formalization of the use of the declarative mapping sentence and this is given a prominent position in the new edition. The book will be compelling reading for students at all levels and for academics and research professionals from the humanities, social sciences and behavioural sciences.
Elite sport can be an unforgiving and harsh environment. This book explores psychological predictors of wellbeing and performance excellence in elite level athletes, and presents an innovative approach for optimizing mental wellbeing and sporting performance. Jointly developed by performance psychologists, clinical psychologists and sport scientists the Flexible Mind approach draws on contemporary psychological theory and research to help athletes build 'psychological flexibility' - the ability to experience challenging thoughts and emotions and still be true to one's values. A range of case studies relating to different sports are used to demonstrate how three core components - Being Present, Being Open and Doing What Matters - can improve athletes' performance and wellbeing. This book will be a game-changing resource for sports psychologists, mental health practitioners, coaches and support staff who are committed to helping athletes to excel and stay well.
In Decision Making and Problem Solving: A Practical Guide for Applied Research, the author utilizes traditional approaches, tools, and techniques adopted to solve current day-to-day, real-life problems. The book offers guidance in identifying and applying accurate methods for designing a strategy as well as implementing these strategies in the real world. The book includes realistic case studies and practical approaches that should help readers understand how the decision making occurs and can be applied to problem solving under deep uncertainty.
This book describes the principles and techniques needed to analyze
data that form a multiway contingency table. Wickens discusses the
description of association in such data using log-linear and
log-multiplicative models and defines how the presence of
association is tested using hypotheses of independence and
quasi-independence. The application of the procedures to real data
is then detailed.
Multilevel and Longitudinal Modeling Using Stata, Fourth Edition, is a complete resource for learning to model data in which observations are grouped. With comprehensive coverage, researchers who need to apply multilevel models will find this book to be the perfect companion. It is also the ideal text for courses in multilevel modeling because it provides examples from a variety of disciplines as well as end-of-chapter exercises that allow students to practice newly learned material. The book comprises two volumes. Volume II focuses on generalized linear models for binary, ordinal, count, and other types of outcomes.
Good Science is an account of psychological research emphasizing the moral foundations of inquiry. This volume brings together existing disciplinary critiques of scientism, objectivism, and instrumentalism, and then discusses how these contribute to institutionalized privilege and to less morally responsive research practices. The author draws on historical, critical, feminist, and science studies traditions to provide an alternative account of psychological science and to highlight the irreducibly moral foundations of everyday scientific practice. This work outlines a theoretical framework for thinking about and practicing psychology in ways that center moral responsibility, collective commitment, and justice. The book then applies this framework, describing psychological research practices in terms of the their moral dilemmas. Also included are materials meant to aid in methods instruction and mentoring.
This book explores discursive psychological empirical research in the context of political communication. Drawing together a well-established field of study and a variety of discursive psychology approaches the authors confront the theoretical and practical challenges that discursive psychology and political communication studies face today. Using a diverse range of approaches, including the analysis of TV shows, cartoons, social media groups and blogs, face-to-face verbal interaction, political rhetoric and mainstream news reports, the authors explain the ways in which discursive psychology can offer insight into the nature of contemporary political communications. The book offers timely and international reflections on the context of online political communication, Brexit rhetoric, prejudice discourse and political persuasion, showcasing the analytical acumen and empirical insight that can be gleaned from discursive psychology methods. Political Communication: Discursive Perspectives highlights the value of contributions from outside English speaking academia and is essential reading for academics, researchers and students interested in political communication or discursive psychology.
The Process of Wellbeing develops an anthropological perspective on wellbeing as an intersubjective process that can be approached through the prism of three complementary conceptual framings: conviviality; care; and creativity. Drawing on ethnographic discussions of these themes in a range of cultural contexts around the world, it shows how anthropological research can help to enlarge and refine understandings of wellbeing, through dialogue with different perspectives and understandings of what it means to live well with others and the skills required to do so. Rather than a state or achievement, wellbeing comes into view here as an ongoing process that involves human and nonhuman others. It does not pertain to the individual alone, but plays out within the relations of care that constitute people, moving and thriving in circulation through affective environments.
Applied Power Analysis for the Behavioral Sciences is a practical "how-to" guide to conducting statistical power analyses for psychology and related fields. The book provides a guide to conducting analyses that is appropriate for researchers and students, including those with limited quantitative backgrounds. With practical use in mind, the text provides detailed coverage of topics such as how to estimate expected effect sizes and power analyses for complex designs. The topical coverage of the text, an applied approach, in-depth coverage of popular statistical procedures, and a focus on conducting analyses using R make the text a unique contribution to the power literature. To facilitate application and usability, the text includes ready-to-use R code developed for the text. An accompanying R package called pwr2ppl (available at https://github.com/chrisaberson/pwr2ppl) provides tools for conducting power analyses across each topic covered in the text.
This textbook considers statistical learning applications when interest centers on the conditional distribution of a response variable, given a set of predictors, and in the absence of a credible model that can be specified before the data analysis begins. Consistent with modern data analytics, it emphasizes that a proper statistical learning data analysis depends in an integrated fashion on sound data collection, intelligent data management, appropriate statistical procedures, and an accessible interpretation of results. The unifying theme is that supervised learning properly can be seen as a form of regression analysis. Key concepts and procedures are illustrated with a large number of real applications and their associated code in R, with an eye toward practical implications. The growing integration of computer science and statistics is well represented including the occasional, but salient, tensions that result. Throughout, there are links to the big picture. The third edition considers significant advances in recent years, among which are: the development of overarching, conceptual frameworks for statistical learning; the impact of "big data" on statistical learning; the nature and consequences of post-model selection statistical inference; deep learning in various forms; the special challenges to statistical inference posed by statistical learning; the fundamental connections between data collection and data analysis; interdisciplinary ethical and political issues surrounding the application of algorithmic methods in a wide variety of fields, each linked to concerns about transparency, fairness, and accuracy. This edition features new sections on accuracy, transparency, and fairness, as well as a new chapter on deep learning. Precursors to deep learning get an expanded treatment. The connections between fitting and forecasting are considered in greater depth. Discussion of the estimation targets for algorithmic methods is revised and expanded throughout to reflect the latest research. Resampling procedures are emphasized. The material is written for upper undergraduate and graduate students in the social, psychological and life sciences and for researchers who want to apply statistical learning procedures to scientific and policy problems.
This book is designed to introduce professors and administrators in higher education to the philosophical, theoretical, and research support for using a constructivist perspective on learning to guide the reconstruction of undergraduate education. It presents an original framework for systematically linking educational philosophy and learning theories to their implications for teaching practice. In this volume, Innes summarizes the sources he found most useful in developing his own set of teaching principles and course development process, and makes an argument for a particular perspective on learning--transactional constructivism--which is consistent with the philosophy of John Dewey and supported by current theory and research in learning science. Transactional constructivism, a combined approach, builds on the strengths of two competing views: psychological constructivism and the sociocultural perspective. Reconstructing Undergraduate Education: Using Learning Science to Design Effective Courses: *overviews the philosophical and theoretical underpinnings of the teaching model that is the focus of the volume; *presents a summary of Dewey's educational philosophy and connects his work to current theory and research in learning science; *examines psychological constructivism, one of the basic positions within the range of learning theories that takes a constructivist perspective; *offers a case study example of a course designed and taught from this perspective; *reviews the sociocultural and the transactional constructivist perspectives; *explores the quality of dialogue and disciplinary discourse in the classroom--an issue that is critical to the success of models derived from a transactional constructivist perspective on learning; and *explores broader issues related to reform in higher education. This volume is a vital resource for all professionals involved in undergraduate education.
This book explores sexual crime and intellectual functioning. Drawing on expertise from clinical practice and applied research, the volume begins with an exploration of the theoretical and historical background to the interest in links between sexual offending and intellectual functioning. The authors then move on to discuss assessment of intellectual functioning in prison, interventions for low intellectual functioning, autistic spectrum and personality disorder. This book offers a rare insight into the phenomenon of high IQ and sexual offending, a much neglected aspect of the sexual crime literature, and includes novel research that unpacks this link. It further offers an extraordinary insight into the experiences of a person of superior IQ in the criminal justice system for a sexual offence. The book is relevant not only to psychologists, criminologists, social workers and students, but also to practitioners, researchers and the general public with an interest in learning about sexual offending and intellectual functioning.
This book proposes a conceptual-empirical framework for exploring forms of continuity and change along psychosocial pathways in South African universities. It illustrates how the psychosocial pathways are grounded in the symbolic narratives and knowledges of young scientists, engineers and architects - all interlocutors in the research from which this book is based. Alala, Mamoratwa, Welile, Odirile, Kaiya, Amirah, Takalani, Nosakhele, Naila, Ambani, Khanyisile, Itumeleng, Ethwasa and Kgnaya provide collective standpoints in the multiplicities within and between the lived lives and told stories of young Black South African women in Science, Technology, Engineering, and Mathematics (STEM) fields. In doing so, this compelling work advances possibilities for demythologising scientific endeavour as a white male achievement and shifting knowledge communities across gendered, racialised, class and national divides. This book presents an innovative narrative methodology, utilising the myth of the Minotaur to examine the state of the university at the heart of the hierarchical labyrinth in "post"-apartheid South Africa. Throughout the work the author wrestles with and self-reflexively highlights her own positionality as a white, middle-class South African woman to examine how this affects the production of this research in ways which serve to preserve the colonial knowledge system. With the rise of the Rhodes Must Fall and Fees Must Fall student movement in South Africa, demanding for the fall of institutionalised racial hierarchies, the author uses the cover image of narrative formations in the spirit of exploration to think with and through undulating networked forms that could possibly forge new psychosocial pathways towards decolonising and reinventing South African universities. This work offers a unique conceptual and methodological resource for students and scholars of psychosocial and narrative theory, as well as those who are concerned about the politics of higher education, both in South Africa and in other contexts around the world. |
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