- The first practical introduction to second-order and growth mixture models using Mplus 8.4 -Introduces simple and complex models through incremental steps with increasing complexity -Each model is presented with figures with associated syntax that highlight what the statistics mean, Mplus applications, and an interpretation of results, to maximize understanding. - Second-order and growth mixture modeling is increasingly being used in various disciplines to analyze changes in individual attributes such as personal behaviors and relationships over time

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.

Integrates the act of creating a measure with the act of using the measure for a specific purpose Emphasis on concrete examples drawn from simulated or empirical data. Engaging and accessible writing style. Provides a deep conceptual treatment of measurement in the context of education and psychology Inter-disciplinary appeal

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.

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.

This book summarizes a range of new analytic tools for multitrait-multimethod (MTMM) data. Providing an expository yet accessible approach to cutting-edge developments for MTMM analysis, a selection of quantitative researchers reveal their recent contributions to the field including non-technical summaries and empirical examples. The contributions inform quantitative social scientists of some of the most cutting-edge developments for MTMM analysis. A range of developments have emerged over the past decade for MTMM analyses, and this book presents these novel additions to the quantitative community as a cohesive narrative. This book makes these recent MTMM contributions accessible to applied researchers (most MTMM innovations are presented in less approachable journals for applied researchers) by providing non-technical summaries and empirical examples. This book will serve as a stepping stone for applied researchers seeking to adopt MTMM analysis into their program of research, and will be relevant to researchers, both within a professional and academic context, across the social and behavioral sciences.

R is a powerful and free software system for data analysis and graphics, with over 5,000 add-on packages available. This book introduces R using SAS and SPSS terms with which you are already familiar. It demonstrates which of the add-on packages are most like SAS and SPSS and compares them to R's built-in functions. It steps through over 30 programs written in all three packages, comparing and contrasting the packages' differing approaches. The programs and practice datasets are available for download. The glossary defines over 50 R terms using SAS/SPSS jargon and again using R jargon. The table of contents and the index allow you to find equivalent R functions by looking up both SAS statements and SPSS commands. When finished, you will be able to import data, manage and transform it, create publication quality graphics, and perform basic statistical analyses. This new edition has updated programming, an expanded index, and even more statistical methods covered in over 25 new sections.

The emergence of intelligent technologies, sophisticated natural language processing methodologies and huge textual repositories, invites a new approach for the challenge of automatically identifying personality dimensions through the analysis of textual data. This short book aims to (1) introduce the challenge of computational personality analysis, (2) present a unique approach to personality analysis and (3) illustrate this approach through case studies and worked-out examples. This book is of special relevance to psychologists, especially those interested in the new insights offered by new computational and data-intensive tools, and to computational social scientists interested in human personality and language processing.

This volume establishes the conceptual foundation for sustained investigation into tool development in neuroscience. Neuroscience relies on diverse and sophisticated experimental tools, and its ultimate explanatory target-our brains and hence the organ driving our behaviors-catapults the investigation of these research tools into a philosophical spotlight. The chapters in this volume integrate the currently scattered work on tool development in neuroscience into the broader philosophy of science community. They also present an accessible compendium for neuroscientists interested in the broader theoretical dimensions of their experimental practices. The chapters are divided into five thematic sections. Section 1 discusses the development of revolutionary research tools across neuroscience's history and argues to various conclusions concerning the relationship between new research tools and theory progress in neuroscience. Section 2 shows how a focus on research tools and their development in neuroscience transforms some traditional epistemological issues and questions about knowledge production in philosophy of science. Section 3 speaks to the most general questions about the way we characterize the nature of the portion of the world that this science addresses. Section 4 discusses hybrid research tools that integrate laboratory and computational methods in exciting new ways. Finally, Section 5 extends research on tool development to the related science of genetics. The Tools of Neuroscience Experiment will be of interest to philosophers and philosophically minded scientists working at the intersection of philosophy and neuroscience.

This book provides users of the Wechsler Adult Intelligence Scale (WAIS-IV) with information on applying the WAIS-IV, including additional indexes and information regarding use in special populations for advanced clinical use and interpretation. The book offers sophisticated users of the WAIS-IV and Wechsler Memory Scale (WMS-IV) guidelines on how to enhance the clinical applicability of these tests.

The first section of the book provides an overview of the WAIS-IV, WMS-IV, and new Advanced Clinical Solutions for Use with the WAIS-IV/WMS-IV (ACS). In this section, examiners will learn: Normal versus atypical score variabilityLow-score prevalence in healthy adults versus clinical populationsAssessing whether poor performance reflects a decline in function or is the result of suboptimal effort

New social cognition measures found in the ACS are also presented. The second part focuses on applying the topics in the first section to specific clinical conditions, including recommended protocols for specific clientele (e.g. using demographically adjusted norms when evaluating individuals with brain injury). Common clinical conditions are discussed, including Alzheimer s disease, mild cognitive impairment, traumatic brain injury, and more. Each chapter provides case examples applying all three test batteries and using report examples as they are obtained from the scoring assistant. Finally, the use of the WAIS-IV/WMS-IV and the ACS in forensic settings is presented.
Coverage of administration and scoring of WAIS-IV, WMS-IV and ACSInformation contained on the use of WAIS-IV with special populationsCase studies in each chapterWritten by the creators of WAIS-IV, WMS-IV and ACS"

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.

Clearly organised around a single question--is love possible?--Joanne Brown's book provides conceptualizations of love and of its possibility from sociological, philosophical and psychoanalytic viewpoints. Material from biographical, narrative interviews are presented in order to look at how people from two age groups conceptualise love and view its realisation or possibility in their own lives. The book argues for the importance of a psychosocial understanding of love and provides a critical discussion of the philosophy and methods of psychosocial studies.

* 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.

Requires minimal prerequisites Explained in basic terms Illustrated with binary datasets and real life examples Covers primary concepts and methods Accessible to undergraduates Suitable for a heterogeneous audience

- The first practical introduction to second-order and growth mixture models using Mplus 8.4 -Introduces simple and complex models through incremental steps with increasing complexity -Each model is presented with figures with associated syntax that highlight what the statistics mean, Mplus applications, and an interpretation of results, to maximize understanding. - Second-order and growth mixture modeling is increasingly being used in various disciplines to analyze changes in individual attributes such as personal behaviors and relationships over time

This book offers different theoretical approaches about what clinical research is. Clinical Research in Psychoanalysis is a unique contribution to the attempts to bridge the gap between clinicians and researchers and to create a culture of a more rigorous and systematic inquiry. It provides an innovative experience because for the first time different methods and perspectives were used to analyse one same clinical material. This was done by analysts from different working parties of the International Psychoanalytical Association (IPA), from a range of different schools of psychoanalytic thought. This allows the reader to have a vision of the different methods that are currently being used by some working parties of the IPA and to learn about the strengths of each one for certain situations and types of research. This book revaluates clinical research, intending to make links between the analysts working through the working parties and the different ways of thinking in clinical research. By covering key topics, such as how working parties can facilitate different types of research; the place of metaphor in psychoanalytic research and practice; and the future for psychoanalytic research, this text is a fruitful dialogue between different theoretical conceptions and between clinicians and researchers, that will expand our perspectives on the evidence we find in clinical material and will broaden our views on the patient. This book offers a unique and invaluable experience to psychologists and psychoanalysts who are trying to improve their clinical practice and bring research evidence into their psychoanalytic practice. It is an invaluable contribution to psychoanalytic training of candidates, teachers, and students.

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 second edition continues to present the following special features of its highly successful predecessor: * an analysis of the major partitionings of the MMPI into special scales in terms of their clinical usefulness, resulting in the selection of those scales that most discriminatingly and non-redundantly represent the core psychological traits and qualities captured by the MMPI; * a number of individually developed scales that tap into additional aspects of validity, psychopathology, and adjustment and personality; * the Indiana Special Scales which sample additional areas that were not as well identified or delineated by prior scale development; * a critique of the foregoing selections in light of the extant MMPI literature (which this second edition further expands up to the current time) and of a major investigation at the Indiana University Medical School of the conjoint use of special scales; * a critique of the shortcomings of high-point codes; * a detailed, categorized listing of the most useful scales in empirical clusters based on their established intercorrelations such that not only scale elevations but also interrelations (and the departures from the expected) of scales become clinically interpretable; * an exploration of the interrelationships between Rorschach and MMPI variables, leading to complementary use of these two instruments. This second edition also takes into account the development of MMPI-2 and the status of its new special scales vis-a-vis the established scales derived from the original MMPI. In so doing, it indicates why the original scales continue to offer substantial advantages over the MMPI-2 scales. It further examines changes in the nosology of personality disorders and proposes special scale markers for these disorders as they have been clarified progressively through DSM-IV. This volume offers the MMPI user a library of psychological report statements based on special scale interpretation, with recommended score ranges and cutting points for particular inferences. These latter features appear together as an appendix styled as "The Human Computer." Unlike the typical computer-generated report, this appendix makes all decision rules explicit, thereby permitting the user to use the library of statements with full knowledge of their applicability. By retaining the element of clinical judgment -- the human dimension of inference -- the user is enabled to better integrate MMPI special scale findings with data from other sources while in the process of crafting the report. All of these new features are accompanied by applicable literature citations.

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.

This introduction to visualization techniques and statistical models for second language research focuses on three types of data (continuous, binary, and scalar), helping readers to understand regression models fully and to apply them in their work. Garcia offers advanced coverage of Bayesian analysis, simulated data, exercises, implementable script code, and practical guidance on the latest R software packages. The book, also demonstrating the benefits to the L2 field of this type of statistical work, is a resource for graduate students and researchers in second language acquisition, applied linguistics, and corpus linguistics who are interested in quantitative data analysis.

This introduction to visualization techniques and statistical models for second language research focuses on three types of data (continuous, binary, and scalar), helping readers to understand regression models fully and to apply them in their work. Garcia offers advanced coverage of Bayesian analysis, simulated data, exercises, implementable script code, and practical guidance on the latest R software packages. The book, also demonstrating the benefits to the L2 field of this type of statistical work, is a resource for graduate students and researchers in second language acquisition, applied linguistics, and corpus linguistics who are interested in quantitative data analysis.

* The first book of its kind to offer a training framework for neuropsychologists who use psychometrists in their practice * An essential resource for psychologists/neuropsychologists who employ technicians and those involved in training graduate students who are just learning to administer cognitive tests. * Includes guidance on methods to prepare the psychometrist for testing with unique populations and responding to atypical behaviors * Includes coverage on promoting board certification of your psychometrist, and the process and procedures required to be successful

Research findings and dissemination are making healthcare more effective. Electronic health records systems and advanced tools are making care delivery more efficient. Legislative reforms are striving to make care more affordable. Efforts still need to be focused on making healthcare more accessible. Clinical Videoconferencing in Telehealth takes a comprehensive and vital step forward in providing mental health and primary care services for those who cannot make traditional office visits, live in remote areas, have transportation or mobility issues or have competing demands. Practical, evidence-based information is presented in a step by step format at two levels: for administrators, including information regarding selecting the right videoconferencing technology, navigating regulatory issues, policy temples, boilerplate language for entering into care agreements with other entities and practical solutions to multisite programming; and for clinicians, including protocols for safe, therapeutically sound practice, informed consent and tips for overcoming common technical barriers to communication in clinical videoconferencing contexts. Checklists, tables, templates, links, vignettes and other tools help to equip professional readers for providing safe services that are streamlined and relevant while avoiding guesswork, false starts and waste. The book takes a friendly-mentor approach to communication in areas such as: Logistics for administrators: Clinical videoconferencing infrastructures and technologies Policy development, procedures and tools for responsible and compliant programming Navigating issues related to providing services in multiple locations Protocols for clinicians: The informed consent process in clinical videoconferencing Clinical assessment and safety planning for remote services Minimizing communication disruption and optimizing the therapeutic alliance Clinical Videoconferencing in Telehealth aptly demonstrates the promise and potential of this technology for clinicians, clinic managers, administrators and others affiliated with mental health clinical practices. It is designed to be the comprehensive "one-stop" tool for clinical videoconferencing service development for programs and individual clinicians.

Featuring a practical approach with numerous examples, the second edition of Categorical Data Analysis for the Behavioral and Social Sciences focuses on helping the reader develop a conceptual understanding of categorical methods, making it a much more accessible text than others on the market. The authors cover common categorical analysis methods and emphasize specific research questions that can be addressed by each analytic procedure, including how to obtain results using SPSS, SAS, and R, so that readers are able to address the research questions they wish to answer. Each chapter begins with a "Look Ahead" section to highlight key content. This is followed by an in-depth focus and explanation of the relationship between the initial research question, the use of software to perform the analyses, and how to interpret the output substantively. Included at the end of each chapter are a range of software examples and questions to test knowledge. New to the second edition: The addition of R syntax for all analyses and an update of SPSS and SAS syntax. The addition of a new chapter on GLMMs. Clarification of concepts and ideas that graduate students found confusing, including revised problems at the end of the chapters. Written for those without an extensive mathematical background, this book is ideal for a graduate course in categorical data analysis taught in departments of psychology, educational psychology, human development and family studies, sociology, public health, and business. Researchers in these disciplines interested in applying these procedures will also appreciate this book's accessible approach.