The Student Survival Guide for Research Methods in Psychology is designed to support students enrolled in undergraduate or graduate level research methods courses by providing them with the tools they need to succeed. It goes beyond course material to help students engage more fully with research methods content. This survival guide presents clear step-by-step instructions that will help students hone the basic skills to succeed and thrive in their research methods classes and to navigate common pitfalls. The book covers core practical skills, like formatting and writing at an APA standard, understanding research literature (particularly academic journals), using SPSS, and broader skills like how to communicate with your professor, time management, and teamwork skills. It is a highly effective primer text for all psychology students undertaking research methods courses and will also be particularly helpful for students who are currently undertaking these modules and don't feel fully prepared for them.

The author explores the complementary, fluid and contradictory nature of meaning-making processes in various contemporary interactional contexts. As such, it will appeal to social scientists with interests in memory studies, the Holocaust and interactional sociology.

This book explores how we create deep maps, delving into the development of methods and approaches that move beyond standard two-dimensional cartography. Deep mapping offers a more detailed exploration of the world we inhabit. Moving from concept to practice, this book addresses how we make deep maps. It explores what methods are available, what technologies and approaches are favorable when designing deep maps, and what lessons assist the practitioner during their construction. This book aims to create an open-ended way in which to understand complex problems through multiple perspectives, while providing a means to represent the physical properties of the real world and to respond to the needs of contemporary scholarship. With contributions from leading experts in the spatial humanities, chapters focus on the linked layers of quantitative and qualitative data, maps, photographs, images, and sound that offer a dynamic view of past and present worlds. This innovative book is the first to offer these insights on the construction of deep maps. It will be a key point of reference for students and scholars in the digital and spatial humanities, geographers, cartographers, and computer scientists who work on spatiality, sensory experience, and perceptual learning.

-Hybrid coverage of media theory and research methods that enables students to apply their academic knowledge in professional settings -Focus on building from theory and methods coverage to research projects makes for easy and dynamic use in a range of introductory, capstone, and professionally-focused courses -Greater focus on contemporary applied professional contexts than other theory and methods texts -Online resources consist of an instructor's manual with sample exercises, test questions, and a syllabus

Based on the author's scholar-activist interventions to promote social justice in cities, this book highlights the role engaged communication scholarship can play in fostering a more equitable future. Through three innovative case studies situated in South Los Angeles, the book illustrates engaged communication scholarship projects grounded in design criteria that are social justice-oriented, place-based, collaborative, and public. It models university-community partnerships that promote positive social change in marginalized communities that stand to benefit the most from university resources, guiding readers in how these partnerships can be incorporated into social justice-oriented curriculum and engaged learning projects. It provides strategic recommendations for how "in community" communication research and media practices can be used to build local power in marginalized urban neighborhoods, and calls for communication's research, pedagogy, epistemologies, practices, ethics, politics, and community engagement to purposefully serve the concerns of marginalized groups in society. The book will be of interest to researchers and social change practitioners interested in solution-oriented work in cities within the fields of research methods, organizational communication, urban planning, public policy, sociology, and social work.

This book has potential to be used as a textbook on criminological theory course; its renewed focus on methods will make it suitable for these courses too. The book is short and easily digestible.

The Student Survival Guide for Research Methods in Psychology is designed to support students enrolled in undergraduate or graduate level research methods courses by providing them with the tools they need to succeed. It goes beyond course material to help students engage more fully with research methods content. This survival guide presents clear step-by-step instructions that will help students hone the basic skills to succeed and thrive in their research methods classes and to navigate common pitfalls. The book covers core practical skills, like formatting and writing at an APA standard, understanding research literature (particularly academic journals), using SPSS, and broader skills like how to communicate with your professor, time management, and teamwork skills. It is a highly effective primer text for all psychology students undertaking research methods courses and will also be particularly helpful for students who are currently undertaking these modules and don't feel fully prepared for them.

* The Mental Models construction creates a simple framework that can be easily retrieved from memory and applied to policing problems * Designed to accompany the lessons of the American Society of Evidence-Based Policing's curriculum to teach practitioners, researchers, and academics the necessary skills to identify, interpret, integrate, and produce research to inform police policies and practices * Equips readers with multiple models with which to deal with a problem rather than proposing a simplistic strategy

Much of our thinking is flawed because it is based on faulty intuition. By using the framework and tools of probability and statistics, we can overcome this to provide solutions to many real-world problems and paradoxes. We show how to do this, and find answers that are frequently very contrary to what we might expect. Along the way, we venture into diverse realms and thought experiments which challenge the way that we see the world. Features: An insightful and engaging discussion of some of the key ideas of probabilistic and statistical thinking Many classic and novel problems, paradoxes, and puzzles An exploration of some of the big questions involving the use of choice and reason in an uncertain world The application of probability, statistics, and Bayesian methods to a wide range of subjects, including economics, finance, law, and medicine Exercises, references, and links for those wishing to cross-reference or to probe further Solutions to exercises at the end of the book This book should serve as an invaluable and fascinating resource for university, college, and high school students who wish to extend their reading, as well as for teachers and lecturers who want to liven up their courses while retaining academic rigour. It will also appeal to anyone who wishes to develop skills with numbers or has an interest in the many statistical and other paradoxes that permeate our lives. Indeed, anyone studying the sciences, social sciences, or humanities on a formal or informal basis will enjoy and benefit from this book.

Much of our thinking is flawed because it is based on faulty intuition. By using the framework and tools of probability and statistics, we can overcome this to provide solutions to many real-world problems and paradoxes. We show how to do this, and find answers that are frequently very contrary to what we might expect. Along the way, we venture into diverse realms and thought experiments which challenge the way that we see the world. Features: An insightful and engaging discussion of some of the key ideas of probabilistic and statistical thinking Many classic and novel problems, paradoxes, and puzzles An exploration of some of the big questions involving the use of choice and reason in an uncertain world The application of probability, statistics, and Bayesian methods to a wide range of subjects, including economics, finance, law, and medicine Exercises, references, and links for those wishing to cross-reference or to probe further Solutions to exercises at the end of the book This book should serve as an invaluable and fascinating resource for university, college, and high school students who wish to extend their reading, as well as for teachers and lecturers who want to liven up their courses while retaining academic rigour. It will also appeal to anyone who wishes to develop skills with numbers or has an interest in the many statistical and other paradoxes that permeate our lives. Indeed, anyone studying the sciences, social sciences, or humanities on a formal or informal basis will enjoy and benefit from this book.

Turn ideas into goals-and goals into impact The road to school improvement and student achievement is paved with good intentions-so why does the destination seem so far away? If you're like most educators, the answer is a pothole known as the implementation gap. This book provides a road map to bypassing that gap in your school or district, offering a carefully researched, field-tested methodology that takes leadership teams, professional learning communities, and educators all the way from good ideas to systematic impact. Following the five Ds, you'll: Discover goals worth pursuing and problems worth addressing Design instruments and actions that generate deep impact Deliver interventions and collect data Double-back to monitor your progress and evaluate the impact Double-up to enhance, sustain, and scale your success You became an educator to make a difference in students' lives. With this playbook, you'll transform research and ideas into achievable actions-and make maximum impact.

* Aims to revive the field study method and demonstrate the importance of studying the behaviour of subjects in real-life, rather than laboratory conditions while complying with the current methodological and ethical standards * Examines the advantages and limitations of the field study method, whilst offering practical guidance on how it can be used in experiments now and in the future * Suitable for graduate and undergraduate students taking courses in methodology, and researchers looking to use field study methods in their research

This book is the first to explore what design can do for sociolegal research. It argues that designerly ways-mindsets that are practical, critical and imaginative, experimental processes and visible and tangible communication strategies-can be combined to generate potentially enabling ecosystems, and that within these ecosystems the abilities of a researcher to make meaningful contributions and to engage in meaningful research relations, both within our research community and in the wider world, can be enhanced. It is grounded in richly illustrated examples of sociolegal researchers working in design mode, including original individual and collaborative experiments involving a total of over 200 researchers and of experts from subfields such as social design, policy design and speculative design working on issues of sociolegal concern. It closes with an opening- a set of accessible sociolegal design briefs on which the impatient can make an immediate start. Written by an experienced sociolegal researcher with formal training in graphic design, the book is primarily focused on what the sociolegal research community can take from design, but it also offers lessons to designers, especially those who work with law.

Political theory offers a great variety of interpretive traditions and models. Today, pluralism is the paradigm. But are all approaches equally useful? What are their limits and possibilities? Can we practice them in isolation, or can we combine them? Modeling Interpretation and the Practice of Political Theory addresses these questions in a refreshing and hands- on manner. It not only models in the abstract, but also tests in practice eight basic schemes of interpretation with which any ambitious reader of political texts should already be familiar. Comprehensive and engaging, the book includes: A straightforward typology of interpretation in political theory. Chapters on the analytical Oxford model, biographical and oeuvre- based interpretation, Skinner's Cambridge School, the esoteric model, reflexive hermeneutics, reception analysis and conceptual history. Original readings of Federalist Paper No. 10 , Plato's Statesman, de Gouges's The Three Urns, Rivera's wall painting The History of Mexico and Strauss's Persecution and the Art of Writing; with further chapters on Machiavelli, Huang Zongxi and a Hittite loyalty oath. An Epilogue proposing pragmatist eclecticism as the way forward in interpretation. An inspiring, hands- on textbook suitable for undergraduate and graduate students, as well as experienced scholars of political theory, intellectual history and philosophy interested in learning more about types and models of interpretation, and the challenge of combining them in interpretive practice.

A Journey into Open Science and Research Transparency in Psychology introduces the open science movement from psychology through a narrative that integrates song lyrics, national parks, and concerns about diversity, social justice, and sustainability. Along the way, readers receive practical guidance on how to plan and share their research, matching the ideals of scientific transparency. This book considers all the fundamental topics related to the open science movement, including: (a) causes of and responses to the Replication Crisis, (b) crowdsourcing and meta-science research, (c) preregistration, (d) statistical approaches, (e) questionable research practices, (f) research and publication ethics, (g) connections to career topics, (h) finding open science resources, (i) how open science initiatives promote diverse, just, and sustainable outcomes, and (j) the path moving forward. Each topic is introduced using terminology and language aimed at intermediate-level college students who have completed research methods courses. But the book invites all readers to reconsider their research approach and join the Scientific Revolution 2.0. Each chapter describes the associated content and includes exercises intended to help readers plan, conduct, and share their research. This short book is intended as a supplemental text for research methods courses or just a fun and informative exploration of the fundamental topics associated with the Replication Crisis in psychology and the resulting movement to increase scientific transparency in methods.

1. This book is applicable to courses across the social and behavioral science on a wide range of quantitative methods courses. 2. The book is based solely on Stata for EFA - one of the top statistics software packages used in behavioral and social sciences. 3. Clear step-by-step guidance combined with screen shots to show how to apply EFA to real data.

An impressive range of HRD scholars have contributed to this excellent Handbook which offers a timely addition to both the HRD and the research methods literatures. HRD researchers who consult this book will find a thoughtful pathway through the debates and dialogues that feature in our dynamic and evolving field. The book provides practical guidance about research making use of emerging as well as established forms of data and approaches to analysis that can advance knowledge in the HRD domain. I commend it to novice as well as to experienced researchers. I will certainly be referring to it myself as I seek to develop my expertise as an HRD scholar and researcher.' - Valerie Anderson, University Forum for HRDAs Human Resource Development (HRD) research has developed, a growing variety of quantitative and qualitative data collection procedures and analysis techniques have been adopted; research designs now include mono, multiple and mixed methods. This Handbook brings together the wealth of research methods experience gained by HRD researchers into one essential volume. Organized into four parts, the book explores conceptual issues, qualitative research methods, quantitative research methods and methodological challenges. It utilises the wealth of research experiences of leading HRD scholars to provide a range of insights highlighting what works, what does not work and associated challenges. Each chapter provides annotated further reading, allowing the reader to expand on the topics discussed. The Handbook will prove invaluable for students and academics in the social sciences who are interested in the development of human resources - particularly postgraduates undertaking research on HRD and undergraduates researching HRD issues. It will also be of use to academics teaching research focused modules on HRD and people related issues, as well as experienced HRD researchers looking to further develop their understanding of methods for researching HRD. Contributors: C. Akinci, N. Beech, K. Black, J.L. Callahan, J. Calver, D. Coghlan, G. Connor, C. Elliott, P. Evans, T. Garavan, J. Gold, D.E. Gray, B. Hamlin, V. Harte, R. Holian, C. Jones, C. Koenig, D. Langley, A. McDowall, C. MacKenzie, S. De Maeyer, D. Marks, S. Mavin, G. Messmann, R.H. Mulder, A. Ogun, R.F. Poell, C. Rigg, C. Rojon, E. Sadler-Smith, S. Sambrook, M. Sheehan, T. Spackman, V. Stead, J. Stewart, S. Tam, K. Trehan, C.L. Wang, R. Warhurst, H. Whitrod-Brown, C.S. Williams, J. Williams

Students and researchers have an abundance of materials and sources available to them via the internet for use in their projects. However, there is little practical guidance available on the fundamentals of performing qualitative research with documents. This valuable book enables readers to undertake high-quality, robust research using documents as data. Encouraging critical consideration of research design, the book guides readers step-by-step through the process of planning and undertaking a research project based on documentary analysis. It covers selecting a research topic and sample through to analysing and writing up the data. The book includes: * a wealth of case studies demonstrating how lessons can be applied in practice; * summary boxes and suggestions for further reading in each chapter to guide learning; * helpful online resources to facilitate designing your own research. Accessible and comprehensive, this book will be invaluable for both students and researchers alike who are new to documentary analysis. All the resources included in this book are available to download on the book's webpage at https://policy.bristoluniversitypress.co.uk/doing-your-research-project-with-documents/online-resources. Look for the Online Resources logo throughout the book.

Do you use language corpora in your research or study, but find that you struggle with statistics? This practical introduction will equip you to understand the key principles of statistical thinking and apply these concepts to your own research, without the need for prior statistical knowledge. The book gives step-by-step guidance through the process of statistical analysis and provides multiple examples of how statistical techniques can be used to analyse and visualise linguistic data. It also includes a useful selection of discussion questions and exercises which you can use to check your understanding. The book comes with a Companion website, which provides additional materials (answers to exercises, datasets, advanced materials, teaching slides etc.) and Lancaster Stats Tools online (http://corpora.lancs.ac.uk/stats), a free click-and-analyse statistical tool for easy calculation of the statistical measures discussed in the book.

This innovative book takes seriously the ordinary activities of entrepreneurship and maps out new pathways for scholars to understand the nature, properties, and implications of studying practices for entrepreneurship studies. Entrepreneurship is neither an art nor a science, but a bundle of practices, as Peter Drucker once observed. Curiously however, academic research on entrepreneurship mostly abstracts away from practical activity. In contrast, Entrepreneurship As Practice takes ordinary activities of entrepreneurship seriously by mapping out new pathways for scholars to consider the everyday practices through which entrepreneurship occurs. Each chapter draws on contemporary theories of practice to illuminate the nature, properties, and implications of studying the practices of entrepreneurship. The chapters in this book were originally published as a special issue of the journal Entrepreneurship & Regional Development.

Spatializing Social Media charts the theoretical and methodological challenges in analyzing and visualizing social media data mapped to geographic areas. It introduces the reader to concepts, theories, and methods that sit at the crossroads between spatial and social network analysis to unpack the conceptual differences between online and face-to-face social networks and the nonlinear effects triggered by social activity that overlaps online and offline. The book is divided into four sections, with the first accounting for the differences between space (the geometrical arrangements that structure and enable forms of interaction) and place (the mechanisms through which social meanings are attached to physical locations). The second section covers the rationale of social network analysis and the ontological differences, stating that relationships, more than individual and independent attributes, are key to understanding of social behavior. The third section covers a range of case studies that successfully mapped social media activity to geographically situated areas and considers the inflection of homophilous dependencies across online and offline social networks. The fourth and last section of the book explores a range of networks and discusses methods for and approaches to plotting a social network graph onto a map, including the purpose-built R package Spatial Social Media. The book takes a non-mathematical approach to social networks and spatial statistics suitable for postgraduate students in sociology, psychology and the social sciences.

Corpora are ubiquitous in linguistic research, yet to date, there has been no consensus on how to conceptualize corpus representativeness and collect corpus samples. This pioneering book bridges this gap by introducing a conceptual and methodological framework for corpus design and representativeness. Written by experts in the field, it shows how corpora can be designed and built in a way that is both optimally suited to specific research agendas, and adequately representative of the types of language use in question. It considers questions such as 'what types of texts should be included in the corpus?', and 'how many texts are required?' - highlighting that the degree of representativeness rests on the dual pillars of domain considerations and distribution considerations. The authors introduce, explain, and illustrate all aspects of this corpus representativeness framework in a step-by-step fashion, using examples and activities to help readers develop practical skills in corpus design and evaluation.

Research Methods: The Basics is an accessible, user-friendly introduction to the different aspects of research theory, methods and practice. This third edition provides an expanded and fully updated resource suitable for students and practitioners in a wide range of disciplines including the natural sciences, social sciences and humanities. It is structured in two parts - the first covers the nature of knowledge and the reasons for doing research, the second explains the specific methods used to conduct an effective research project and how to propose, plan, carry out and write up a research project. This book covers: * Reasons for doing a research project * Structuring and planning a research project * The ethical issues involved in research * Different types of data and how they are measured * Collecting primary and secondary data * Analysing qualitative and quantitative data * Mixed methods and interdisciplinary research * Devising a research proposal and writing up the research * Motivation and quality of work. Complete with student learning tasks at the end of each section, a glossary of key terms and guides to further reading, Research Methods: The Basics is the essential text for anyone coming to research for the first time. New to this edition is free access to a set of digital resources. This contains case studies, to- do lists, quizzes on aspects of research related to the chapters in the book and useful PowerPoint presentations for lecturers. To access the online material, go to www.routledge.com/9780367694081 and click on 'Support Material' beneath the illustration of the front cover.

Quantitative research in social science research is changing rapidly. Researchers have vast and complex arrays of data with which to work: we have incredible tools to sift through the data and recognize patterns in that data; there are now many sophisticated models that we can use to make sense of those patterns; and we have extremely powerful computational systems that help us accomplish these tasks quickly. This book focuses on some of the extraordinary work being conducted in computational social science - in academia, government, and the private sector - while highlighting current trends, challenges, and new directions. Thus, Computational Social Science showcases the innovative methodological tools being developed and applied by leading researchers in this new field. The book shows how academics and the private sector are using many of these tools to solve problems in social science and public policy.

A resource on quantitative methods and methodologies for researchers, practitioners, and doctoral students Demonstrates, in a step-by-step fashion, the development of the theoretically sound general framework allowing for instantiating a variety of research models. Illustrates a process of constructing of a variety of methodological modules- components comprised of complementary quantitative data analytic methods Explores the negative societal effects of implications of ICT and discusses future research directions to mitigate such effects