*Furnishes a thorough introduction and detailed information about the linear regression model, including how to understand and interpret its results, test assumptions, and adapt the model when assumptions are not satisfied. *Uses numerous graphs in R to illustrate the model's results, assumptions, and other features. *Does not assume a background in calculus or linear algebra; rather, an introductory statistics course and familiarity with elementary algebra are sufficient. *Provides many examples using real world datasets relevant to various academic disciplines. *Fully integrates the R software environment in its numerous examples.

Richly illustrates the practice of programme theory driven evaluation with contemporary examples alongside the most recent advances in theory. Contains self-reflective chapters to allow the reader/novice evaluator to engage with and critique their own work. An excellent introduction to the basic concepts and approaches of theory-driven evaluation.

1. Very comprehensive and extensive coverage (stresses the relevance of the entire research cycle, from design to data collection to analysis to interpretation). 2. Highlights the multidisciplinary nature of CSS, drawing from research in computer science, statistics, and the social and behavioural sciences. 3. Takes a holistic approach to CSS methods. Instead of focusing on simply harvesting data, the editors emphasise the importance of a carefully crafted research design containing key milestone checks.

1. Very comprehensive and extensive coverage (stresses the relevance of the entire research cycle, from design to data collection to analysis to interpretation). 2. Highlights the multidisciplinary nature of CSS, drawing from research in computer science, statistics, and the social and behavioural sciences. 3. Takes a holistic approach to CSS methods. Instead of focusing on simply harvesting data, the editors emphasise the importance of a carefully crafted research design containing key milestone checks. 4. Covers important and emergent topics in the field like the relationship between CSS, AI and machine learning.

There are several tests used in clinical practice and research worldwide that have been devised to assess the functions subsumed by the frontal lobes of the brain. Anatomical localisation has revealed that the frontal lobes can be divided into sub-regions with different functional domains. As a result, a number of authors working in the frontal lobe literature have made a case for patients with frontal lobe damage to be considered in their distinct subgroups, rather than considered together in one unitary group. As a result, it is important for clinicians and researchers to be made aware of the functions assessed by individual frontal tests and understand which frontal regions might be impaired in their patient groups, as patients with damage to one of these regions will perform poorly on tasks tapping that region yet may perform well on tasks tapping the unaffected regions within the frontal lobes. The 'Handbook of Frontal Lobe Assessment' provides a critical review and appraisal of both the neuropsychological and experimental tests that have been devised to assess frontal lobe functions. It includes many tests that have not been included in previously published neuropsychological compendia. Throughout, the book discusses the available frontal tests in relation to patient and lesion data, neuroimaging data and aging data in order to offer clinicians and researchers the opportunity to choose the best assessment instrument for their purpose.

* 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

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.

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.

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.

Foregrounding the voices of women who have survived experiences of domestic sex trafficking in the US, this text implements qualitative research methodologies to illustrate how experiences of complex trauma have impact on women's identities, sexuality, relationships, and re-integration into communities. Building on theoretical understandings of complex trauma and posttraumatic growth, this volume centers insights from in-depth interviews and photovoice methodology to document survivors' experience of sex trafficking and recovery. Outlining the nature of support and services available, the text identifies recommendations for effective recovery and in doing so, emphasizes women's capacity for post-traumatic growth. Relationship development, therapeutic and peer-support are highlighted as primary sources of healing. Ultimately, the text affirms the need for trauma-informed, ecological, and relational perspectives in the care of survivors. This text will benefit researchers, academics, and educators with an interest in trauma studies, clinical social work, and those working in mental health research more broadly. The text will also support further discussion and reflection around mental health services and support systems, adult trauma counselling, and mental health policy.

This book has been prepared to help psychiatrists expand their knowledge of statistical methods and fills the gaps in their applications as well as introduces data analysis software. The book emphasizes the classification of fundamental statistical methods in psychiatry research that are precise and simple. Professionals in the field of mental health and allied subjects without any mathematical background can easily understand all the relevant statistical methods and carry out the analysis and interpret the results in their respective fields without consulting a statistician. The sequence of the chapters, the sections within the chapters, the subsections within the sections, and the points within the subsections have all been arranged to help professionals in classification refine their knowledge in statistical methods and fill the gaps, if any. Emphasizing simplicity, the fundamental statistical methods are demonstrated by means of arithmetical examples that may be reworked with pencil and paper in a matter of minutes. The results of the rework have to be checked by using SPSS, and in this way professionals are introduced to this psychiatrist-friendly data analysis software. Topics covered include: * An overview of psychiatry research * The organization and collection of data * Descriptive statistics * The basis of statistical inference * Tests of significance * Correlational data analysis * Multivariate data analysis * Meta-analysis * Reporting the results * Statistical software The language of the book is very simple and covers all aspects of statistical methods starting from organization and collection of data to descriptive statistics, statistical inference, multivariate analysis, and meta-analysis. Two chapters on computer applications deal with the most popular data analysis software: SPSS. The book will be very valuable to professionals and post-graduate students in psychiatry and allied fields, such as psychiatric social work, clinical psychology, psychiatric nursing, and mental health education and administration.

This volume, Statistical Methods in Psychiatry Research and SPSS, now going into its second edition, has been helping psychiatrists expand their knowledge of statistical methods and fills the gaps in their applications as well as introduces data analysis software. It addresses the statistical needs of physicians and presents a simplified approach. The book emphasizes the classification of fundamental statistical methods in psychiatry research that are precise and simple. Professionals in the field of mental health and allied subjects without any mathematical background will easily understand all the relevant statistical methods and carry out the analysis and interpret the results in their respective field without consulting any statistician. This new volume has over 100 pages of new material, including several new appendixes. The sequence of the chapters, the sections within the chapters, the subsections within the sections, and the points within the subsections have all been arranged to help professionals in classification refine their knowledge in statistical methods and fills the gaps.

This book introduces the latest meta-analytical methods and discusses their applications in the field of psychiatry. A comprehensive list of methods used in meta-analysis has been described in simple language and demonstrated with real-time examples. This informative volume explains the importance of meta-analysis and describes how it differs from narrative and systematic reviews. It also relates the historical development of meta-analysis and explains methods used for locating and selecting the required studies in a given domain. Suitable software is examined in detail as well.

1. Phil Cushman is a highly esteemed scholar in the academy, and has been a prolific author. The present project of featuring the work of his students is an innovative approach to dissemination of scholarship on hermeneutics. 2. Interest in hermeneutic approaches is on the rise, but little has been written on applying these approaches to a dissertation. This book will fill an important and niche. 3. Dissertations cover a range of challenging and topical issues, such as end of life care, motherhood, trauma and racism.

1. Phil Cushman is a highly esteemed scholar in the academy, and has been a prolific author. The present project of featuring the work of his students is an innovative approach to dissemination of scholarship on hermeneutics. 2. Interest in hermeneutic approaches is on the rise, but little has been written on applying these approaches to a dissertation. This book will fill an important and niche. 3. Dissertations cover a range of challenging and topical issues, such as end of life care, motherhood, trauma and racism.

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.

There isn't a book currently on the market which focuses on multiple hypotheses testing. - Can be used on a range of course, including social & behavioral sciences, biological sciences, as well as professional researchers. Includes various examples of the multiple hypotheses method in practice in a variety of fields, including: sport and crime.

-Offers a straightforward, detailed guide to how to ensure success of cross-border research projects and interventions, based on decades of experiences in many cultures, as well as meticulous research and documentation. -Accessibly written and illustrated with real examples and case studies of projects, and covers key topics including project management, cultural considerations, handling crises and threats, and successful implementation and dissemination. -Ideal for researchers and project managers - from large, global organisations to small NGOs, as well as university students and academics.

Investigative Interviewing: Adopting a Forensic Mindset is a straight-forward, practical textbook outlining proper interview planning and techniques, detailing all relevant case law concerning confessions. Being a forensic professional infers that investigator apply the highest standards in collecting, analyzing, preserving, and presenting evidence to a court of law or other tribunals. The author contends that the key to a proper forensic interviewing methodology is the elimination of the term "interrogation," and the confession-obtaining mindset it creates. Forensic interviewers can achieve all interview objectives, including truthful confessions that stand up to the scrutiny of the courts and public opinion, by adhering to best-practice, ethical standards. What transpires during the interview must stand up to the scrutiny of the courts and public opinion. In this regard, due process, documenting the procedure, and practicing proven, effective techniques is paramount to getting to the truth-the ultimate goal of any investigation. The book addresses important issues in the field such as false confessions, due to its criticality and frequent occurrences of this. Coverage also includes the desired qualities of an investigative interviewer and strategies to break down barriers and gain trust with reluctant, uncooperative, and hostile interviewees. Proper report writing, an underrated key to any interview and investigation, is addressed in detail. Lastly. the book provides training on best practice interview steps and strategies to lead the interviewee to the truth. Numerous case examples, and transcripts of real interviews, are provided illustrate real-world interviewing practices and concepts. Features includes: Examines the human factor in the qualities of a good investigative interviewer such as understanding the offender and strategies to gain the interviewees trust Shares practical experience and best practices, noting traditional pitfalls and mistakes that can impede the truth and lead to false confessions Discusses legal considerations, case law, and the intent behind entering an interview situation with a forensic mindset, prioritizing due process and documenting procedure Presents a notable and extensive case study that includes six informative interviews denoting effective techniques in practice Provides pedagogical elements including chapter learning objectives and end of chapter review with discussion questions Investigative Interviewing: Adopting a Forensic Mindset promotes legal and ethical investigative interviewing methods and is a welcome addition to the literature for use in forensic science and criminal justice curricula and programs.

At a time when there is increasing need to offer psychotherapeutic approaches that accommodate clients' religious and spiritual beliefs, and acknowledge the potential for healing and growth offered by religious frameworks, this book explores psychology from an Islamic paradigm and demonstrates how Islamic understandings of human nature, the self, and the soul can inform an Islamic psychotherapy. Drawing on a qualitative, grounded theory analysis of interviews with Islamic scholars and clinicians, this unique volume distils complex religious concepts to reconcile Islamic theology with contemporary notions of psychology. Chapters offer nuanced explanations of relevant Islamic tradition and theological sources, consider how this relates to Western notions of psychotherapy and common misconceptions, and draw uniquely on first-hand data to develop a new theory of Islamic psychology. This, in turn, informs an innovative and empirically driven model of practice that translates Islamic understandings of human psychology into a clinical framework for Islamic psychotherapy. An outstanding scholarly contribution to the modern and emerging discipline of Islamic psychology, this book makes a pioneering contribution to the integration of the Islamic sciences and clinical mental health practice. It will be a key resource for scholars, researchers, and practicing clinicians with an interest in Islamic psychology and Muslim mental health, as well as religion, spirituality and psychology more broadly.

* 16 accompanying datasets across a wide range of contexts (e.g. academic, corporate, sports, marketing) * Clear step-by-step instructions on executing the analyses. * Clear guidance on how to interpret results. * Primary instruction in R but added sections for Python coders. * Discussion exercises and data exercises for each of the main chapters. * Final chapter of practice material and datasets ideal for class homework or project work.

"Automated scoring engines [...] require a careful balancing of the contributions of technology, NLP, psychometrics, artificial intelligence, and the learning sciences. The present handbook is evidence that the theories, methodologies, and underlying technology that surround automated scoring have reached maturity, and that there is a growing acceptance of these technologies among experts and the public." From the Foreword by Alina von Davier, ACTNext Senior Vice President Handbook of Automated Scoring: Theory into Practice provides a scientifically grounded overview of the key research efforts required to move automated scoring systems into operational practice. It examines the field of automated scoring from the viewpoint of related scientific fields serving as its foundation, the latest developments of computational methodologies utilized in automated scoring, and several large-scale real-world applications of automated scoring for complex learning and assessment systems. The book is organized into three parts that cover (1) theoretical foundations, (2) operational methodologies, and (3) practical illustrations, each with a commentary. In addition, the handbook includes an introduction and synthesis chapter as well as a cross-chapter glossary.

Winner of the "Outstanding Academic Title" recognition by Choice for the 2020 OAT Awards. The Choice OAT Award represents the highest caliber of scholarly titles that have been reviewed by Choice and conveys the extraordinary recognition of the academic community. In recent years social media has gained significant popularity and has become an essential medium of communication. Such user-generated content provides an excellent scenario for applying the metaphor of mining any information. Transfer learning is a research problem in machine learning that focuses on leveraging the knowledge gained while solving one problem and applying it to a different, but related problem. Features: Offers novel frameworks to study user behavior and for addressing and explaining task heterogeneity Presents a detailed study of existing research Provides convergence and complexity analysis of the frameworks Includes algorithms to implement the proposed research work Covers extensive empirical analysis Social Media Analytics for User Behavior Modeling: A Task Heterogeneity Perspective is a guide to user behavior modeling in heterogeneous settings and is of great use to the machine learning community.

This book reconstructs the rise and fall of Wilhelm Wundt's fortunes, focusing for the first time on the role of Richard Avenarius as catalyst for the so-called "positivist repudiation of Wundt." Krauss specifically looks at the progressive disavowal of Wundtian ideas in the world of scientific psychology, and especially by his former pupils. This book provides important historical context and a critical discussion of the current state of research, in addition to a detailed consideration of Wundt's and Avenarius' systems of thought, as well as on their personal relationship. The author outlines the reception of Avenarius' conceptions among Wundt's pupils, such as Kulpe, Munsterberg and Titchener, and among other psychologists of the time, such as Ward, James and Ebbinghaus. Finally, this book presents Wundt's two-fold attempt to respond to the new trend through a criticism of the "materialistic" psychology, and a reformulation of his own ideas.

This volume introduces the methodological value of hermeneutic dialogue in the field of theoretical and philosophical psychology. It reflects on the works of Frank Richardson, who has made, and continues to make, seminal contributions to the field, as well as having influenced the work of many of the practitioners engaged in this field today. Each chapter explores a major topic of hermeneutic dialogue and is authored by a scholar whose work has been directly impacted by Richardson's life and research. The chapters illuminate a variety of issues in psychology, such as instrumentalism, individualism, relationality, social ontology, the wisdom of limits, neoliberalism, and the idea that theory is a form of praxis. All contributions in this volume illustrate aspects of theory as practice coming to expression in reflection on theoretical and philosophical psychology and trace some of the implications for psychology, political philosophy, social justice, community, human dignity, and transcendence. This book will be a valuable resource for students and scholars of theoretical and philosophical psychology, philosophy of the mind, and personality theories.