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| example of regression psychology: The Neuro-Psychoses of Defence Sigmund Freud, 2014-11-11 This early work by Sigmund Freud was originally published in 1894 and we are now republishing it with a brand new introductory biography. 'The Neuro-Psychoses of Defence' is a psychological essay on defence hysteria and its causes. Sigismund Schlomo Freud was born on 6th May 1856, in the Moravian town of Príbor, now part of the Czech Republic. He studied a variety of subjects, including philosophy, physiology, and zoology, graduating with an MD in 1881. Freud made a huge and lasting contribution to the field of psychology with many of his methods still being used in modern psychoanalysis. He inspired much discussion on the wealth of theories he produced and the reactions to his works began a century of great psychological investigation. |
| example of regression psychology: The Great Mental Models, Volume 1 Shane Parrish, Rhiannon Beaubien, 2024-10-15 Discover the essential thinking tools you’ve been missing with The Great Mental Models series by Shane Parrish, New York Times bestselling author and the mind behind the acclaimed Farnam Street blog and “The Knowledge Project” podcast. This first book in the series is your guide to learning the crucial thinking tools nobody ever taught you. Time and time again, great thinkers such as Charlie Munger and Warren Buffett have credited their success to mental models–representations of how something works that can scale onto other fields. Mastering a small number of mental models enables you to rapidly grasp new information, identify patterns others miss, and avoid the common mistakes that hold people back. The Great Mental Models: Volume 1, General Thinking Concepts shows you how making a few tiny changes in the way you think can deliver big results. Drawing on examples from history, business, art, and science, this book details nine of the most versatile, all-purpose mental models you can use right away to improve your decision making and productivity. This book will teach you how to: Avoid blind spots when looking at problems. Find non-obvious solutions. Anticipate and achieve desired outcomes. Play to your strengths, avoid your weaknesses, … and more. The Great Mental Models series demystifies once elusive concepts and illuminates rich knowledge that traditional education overlooks. This series is the most comprehensive and accessible guide on using mental models to better understand our world, solve problems, and gain an advantage. |
| example of regression psychology: Encyclopedia of Personality and Individual Differences Virgil Zeigler-Hill, Todd K. Shackelford, 2020-03-11 This Encyclopedia provides a comprehensive overview of individual differences within the domain of personality, with major sub-topics including assessment and research design, taxonomy, biological factors, evolutionary evidence, motivation, cognition and emotion, as well as gender differences, cultural considerations, and personality disorders. It is an up-to-date reference for this increasingly important area and a key resource for those who study intelligence, personality, motivation, aptitude and their variations within members of a group. |
| example of regression psychology: Theories of Development William Crain, 2015-10-02 The result of extensive scholarship and consultation with leading scholars, this text introduces students to twenty-four theorists and compares and contrasts their theories on how we develop as individuals. Emphasizing the theories that build upon the developmental tradition established by Rousseau, this text also covers theories in the environmental/learning tradition. |
| example of regression psychology: Learning Statistics with R Daniel Navarro, 2013-01-13 Learning Statistics with R covers the contents of an introductory statistics class, as typically taught to undergraduate psychology students, focusing on the use of the R statistical software and adopting a light, conversational style throughout. The book discusses how to get started in R, and gives an introduction to data manipulation and writing scripts. From a statistical perspective, the book discusses descriptive statistics and graphing first, followed by chapters on probability theory, sampling and estimation, and null hypothesis testing. After introducing the theory, the book covers the analysis of contingency tables, t-tests, ANOVAs and regression. Bayesian statistics are covered at the end of the book. For more information (and the opportunity to check the book out before you buy!) visit http://ua.edu.au/ccs/teaching/lsr or http://learningstatisticswithr.com |
| example of regression psychology: Growing Yourself Back Up John Lee, 2001-01-23 Someone pushes your buttons. You feel rage, fear, sweaty palms, unbidden tears—you feel like a kid. We've all experienced moments when we lose control of a situation and ourselves. Now, in Growing Yourself Back Up, the first book to explain the idea of emotional regression to the general reader, bestselling author John Lee identifies the circumstances that cause these seemingly uncontrollable feelings and shows how they are directly tied to our experience as children. No adult, explains Lee, need ever experience the helpless feelings of childhood again. Here are his proven methods and visualization exercises, developed in his popular workshops, for recognizing, preventing, and diffusing regression in ourselves and others. He teaches, for example, that adults cannot be abandoned, they can only be left; if we're feeling abandoned we're regressing. He also reminds us that no matter how overwhelmed we are, adults always have options; if we believe we don't, we're in a regression. Growing Yourself Back Up will show you how to: * develop strong emotional boundaries and convey them to others * learn the Detour Method that reverses regression * confront without regressing * communicate with the authority figures who push your buttons * minimize regression at family functions Lee offers hope—as well as practical strategies that work—for conquering those childlike feelings of powerlessness that are almost always rooted in regression. |
| example of regression psychology: Multiple Regression Leona S. Aiken, Stephen G. West, Raymond R. Reno, 1991 This successful book, now available in paperback, provides academics and researchers with a clear set of prescriptions for estimating, testing and probing interactions in regression models. Including the latest research in the area, such as Fuller's work on the corrected/constrained estimator, the book is appropriate for anyone who uses multiple regression to estimate models, or for those enrolled in courses on multivariate statistics. |
| example of regression psychology: Modern Regression Techniques Using R Daniel B Wright, Kamala London, 2009-02-19 Statistics is the language of modern empirical social and behavioural science and the varieties of regression form the basis of this language. Statistical and computing advances have led to new and exciting regressions that have become the necessary tools for any researcher in these fields. In a way that is refreshingly engaging and readable, Wright and London describe the most useful of these techniques and provide step-by-step instructions, using the freeware R, to analyze datasets that can be located on the books′ webpage: www.sagepub.co.uk/wrightandlondon. Techniques covered in this book include multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic regression (generalized linear models), generalized additive models, and robust methods. These are all tested out using a range of real research examples conducted by the authors in every chapter. Given the wide coverage of techniques, this book will be essential reading for any advanced undergraduate and graduate student (particularly in psychology) and for more experienced researchers wanting to learn how to apply some of the more recent statistical techniques to their datasets. The Authors are donating all royalties from the book to the American Partnership for Eosinophilic Disorders. |
| example of regression psychology: The SAGE Handbook of Regression Analysis and Causal Inference Henning Best, Christof Wolf, 2013-12-20 ′The editors of the new SAGE Handbook of Regression Analysis and Causal Inference have assembled a wide-ranging, high-quality, and timely collection of articles on topics of central importance to quantitative social research, many written by leaders in the field. Everyone engaged in statistical analysis of social-science data will find something of interest in this book.′ - John Fox, Professor, Department of Sociology, McMaster University ′The authors do a great job in explaining the various statistical methods in a clear and simple way - focussing on fundamental understanding, interpretation of results, and practical application - yet being precise in their exposition.′ - Ben Jann, Executive Director, Institute of Sociology, University of Bern ′Best and Wolf have put together a powerful collection, especially valuable in its separate discussions of uses for both cross-sectional and panel data analysis.′ -Tom Smith, Senior Fellow, NORC, University of Chicago Edited and written by a team of leading international social scientists, this Handbook provides a comprehensive introduction to multivariate methods. The Handbook focuses on regression analysis of cross-sectional and longitudinal data with an emphasis on causal analysis, thereby covering a large number of different techniques including selection models, complex samples, and regression discontinuities. Each Part starts with a non-mathematical introduction to the method covered in that section, giving readers a basic knowledge of the method’s logic, scope and unique features. Next, the mathematical and statistical basis of each method is presented along with advanced aspects. Using real-world data from the European Social Survey (ESS) and the Socio-Economic Panel (GSOEP), the book provides a comprehensive discussion of each method’s application, making this an ideal text for PhD students and researchers embarking on their own data analysis. |
| example of regression psychology: Why Is My Child in Charge? Claire Lerner, 2021-09-02 Solve toddler challenges with eight key mindshifts that will help you parent with clarity, calmness, and self-control. In Why is My Child in Charge?, Claire Lerner shows how making critical mindshifts—seeing children’s behaviors through a new lens —empowers parents to solve their most vexing childrearing challenges. Using real life stories, Lerner unpacks the individualized process she guides parents through to settle common challenges, such as throwing tantrums in public, delaying bedtime for hours, refusing to participate in family mealtimes, and resisting potty training. Lerner then provides readers with a roadmap for how to recognize the root cause of their child’s behavior and how to create and implement an action plan tailored to the unique needs of each child and family. Why is My Child in Charge? is like having a child development specialist in your home. It shows how parents can develop proven, practical strategies that translate into adaptable, happy kids and calm, connected, in-control parents. |
| example of regression psychology: Regression with Dummy Variables Melissa A. Hardy, 1993-02-25 It is often necessary for social scientists to study differences in groups, such as gender or race differences in attitudes, buying behavior, or socioeconomic characteristics. When the researcher seeks to estimate group differences through the use of independent variables that are qualitative, dummy variables allow the researcher to represent information about group membership in quantitative terms without imposing unrealistic measurement assumptions on the categorical variables. Beginning with the simplest model, Hardy probes the use of dummy variable regression in increasingly complex specifications, exploring issues such as: interaction, heteroscedasticity, multiple comparisons and significance testing, the use of effects or contrast coding, testing for curvilinearity, and estimating a piecewise linear regression. |
| example of regression psychology: Multiple Regression and Beyond Timothy Z. Keith, 2019-01-14 Companion Website materials: https://tzkeith.com/ Multiple Regression and Beyond offers a conceptually-oriented introduction to multiple regression (MR) analysis and structural equation modeling (SEM), along with analyses that flow naturally from those methods. By focusing on the concepts and purposes of MR and related methods, rather than the derivation and calculation of formulae, this book introduces material to students more clearly, and in a less threatening way. In addition to illuminating content necessary for coursework, the accessibility of this approach means students are more likely to be able to conduct research using MR or SEM--and more likely to use the methods wisely. This book: • Covers both MR and SEM, while explaining their relevance to one another • Includes path analysis, confirmatory factor analysis, and latent growth modeling • Makes extensive use of real-world research examples in the chapters and in the end-of-chapter exercises • Extensive use of figures and tables providing examples and illustrating key concepts and techniques New to this edition: • New chapter on mediation, moderation, and common cause • New chapter on the analysis of interactions with latent variables and multilevel SEM • Expanded coverage of advanced SEM techniques in chapters 18 through 22 • International case studies and examples • Updated instructor and student online resources |
| example of regression psychology: Regression Analysis for Categorical Moderators Herman Aguinis, 2004-01-01 Does the stability of personality vary by gender or ethnicity? Does a particular therapy work better to treat clients with one type of personality disorder than those with another? Providing a solution to thorny problems such as these, Aguinis shows readers how to better assess whether the relationship between two variables is moderated by group membership through the use of a statistical technique, moderated multiple regression (MMR). Clearly written, the book requires only basic knowledge of inferential statistics. It helps students, researchers, and practitioners determine whether a particular intervention is likely to yield dissimilar outcomes for members of various groups. Associated computer programs and data sets are available at the author's website (http: //mypage.iu.edu/ haguinis/mmr). |
| example of regression psychology: The Collected Works of D.W. Winnicott Donald Woods Winnicott, 2017 |
| example of regression psychology: Multiple Regression in Practice William Dale Berry, Stanley Feldman, 1985-05 The authors provide a systematic treatment of the major problems involved in using regression analysis. They clearly and concisely discuss the consequences of violating the assumptions of the regression model, procedures for detecting violations, and strategies for dealing with these problems. |
| example of regression psychology: R for SAS and SPSS Users Robert A. Muenchen, 2011-08-27 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. |
| example of regression psychology: Regression Analysis and Linear Models Richard B. Darlington, Andrew F. Hayes, 2016-08-22 Emphasizing conceptual understanding over mathematics, this user-friendly text introduces linear regression analysis to students and researchers across the social, behavioral, consumer, and health sciences. Coverage includes model construction and estimation, quantification and measurement of multivariate and partial associations, statistical control, group comparisons, moderation analysis, mediation and path analysis, and regression diagnostics, among other important topics. Engaging worked-through examples demonstrate each technique, accompanied by helpful advice and cautions. The use of SPSS, SAS, and STATA is emphasized, with an appendix on regression analysis using R. The companion website (www.afhayes.com) provides datasets for the book's examples as well as the RLM macro for SPSS and SAS. Pedagogical Features: *Chapters include SPSS, SAS, or STATA code pertinent to the analyses described, with each distinctively formatted for easy identification. *An appendix documents the RLM macro, which facilitates computations for estimating and probing interactions, dominance analysis, heteroscedasticity-consistent standard errors, and linear spline regression, among other analyses. *Students are guided to practice what they learn in each chapter using datasets provided online. *Addresses topics not usually covered, such as ways to measure a variable’s importance, coding systems for representing categorical variables, causation, and myths about testing interaction. |
| example of regression psychology: Essential Statistics, Regression, and Econometrics Gary Smith, 2015-06-08 Essential Statistics, Regression, and Econometrics, Second Edition, is innovative in its focus on preparing students for regression/econometrics, and in its extended emphasis on statistical reasoning, real data, pitfalls in data analysis, and modeling issues. This book is uncommonly approachable and easy to use, with extensive word problems that emphasize intuition and understanding. Too many students mistakenly believe that statistics courses are too abstract, mathematical, and tedious to be useful or interesting. To demonstrate the power, elegance, and even beauty of statistical reasoning, this book provides hundreds of new and updated interesting and relevant examples, and discusses not only the uses but also the abuses of statistics. The examples are drawn from many areas to show that statistical reasoning is not an irrelevant abstraction, but an important part of everyday life. - Includes hundreds of updated and new, real-world examples to engage students in the meaning and impact of statistics - Focuses on essential information to enable students to develop their own statistical reasoning - Ideal for one-quarter or one-semester courses taught in economics, business, finance, politics, sociology, and psychology departments, as well as in law and medical schools - Accompanied by an ancillary website with an instructors solutions manual, student solutions manual and supplementing chapters |
| example of regression psychology: Modern Methods for Robust Regression Robert Andersen, 2008 Offering an in-depth treatment of robust and resistant regression, this volume takes an applied approach and offers readers empirical examples to illustrate key concepts. |
| example of regression psychology: The Ego and the Mechanisms of Defense Anna Freud, 1967 |
| example of regression psychology: Data Analysis Using Regression and Multilevel/Hierarchical Models Andrew Gelman, Jennifer Hill, 2007 This book, first published in 2007, is for the applied researcher performing data analysis using linear and nonlinear regression and multilevel models. |
| example of regression psychology: Correlation and Regression Philip Bobko, 2001-04-10 . . . the writing makes this book interesting to all levels of students. Bobko tackles tough issues in an easy way but provides references for more complex and complete treatment of the subject. . . . there is a familiarity and love of the material that radiates through the words. --Malcolm James Ree, ORGANIZATIONAL RESEARCH METHODS, April 2002 This book provides one of the clearest treatments of correlations and regression of any statistics book I have seen. . . . Bobko has achieved his objective of making the topics of correlation and regression accessible to students. . . . For someone looking for a very clearly written treatment of applied correlation and regression, this book would be an excellent choice. --Paul E. Spector, University of South Florida As a quantitative methods instructor, I have reviewed and used many statistical textbooks. This textbook and approach is one of the very best when it comes to user-friendliness, approachability, clarity, and practical utility. --Steven G. Rogelberg, Bowling Green State University Building on the classical examples in the first edition, this updated edition provides students with an accessible textbook on statistical theories in correlation and regression. Taking an applied approach, the author uses concrete examples to help the student thoroughly understand how statistical techniques work and how to creatively apply them based on specific circumstances they face in the real world. The author uses a layered approach in each chapter, first offering the student an intuitive understanding of the problems or examples and progressing through to the underlying statistics. This layered approach and the applied examples provide students with the foundation and reasoning behind each technique, so they will be able to use their own judgement to effectively choose from the alternative data analytic options. |
| example of regression psychology: Essential First Steps to Data Analysis Carol S. Parke, 2012-12-13 Carol S. Parke's Essential First Steps to Data Analysis: Scenario-Based Examples Using SPSS provides instruction and guidance on preparing quantitative data sets prior to answering a study's research questions. Such preparation may involve data management and manipulation tasks, data organization, structural changes to the data files, or conducting preliminary analysis. Twelve research-based scenarios are used to present the content. Each scenario tells the story of a researcher who thoroughly examined their data and the decisions they made along the way. The scenario begins with a description of the researcher's study and his/her data file(s), then describes the issues the researcher must address, explains why they are important, shows how SPSS was used to address the issues and prepare data, and shares the researcher's reflections and any additional decision-making. Finally, each scenario ends with the researcher's written summary of the procedures and outcomes from the initial data preparation or analysis. |
| example of regression psychology: Group Psychology and the Analysis of the Ego Sigmund Freud, 2020-09-28 The contrast between Individual Psychology and Social or Group Psychology, which at a first glance may seem to be full of significance, loses a great deal of its sharpness when it is examined more closely. It is true that Individual Psychology is concerned with the individual man and explores the paths by which he seeks to find satisfaction for his instincts; but only rarely and under certain exceptional conditions is Individual Psychology in a position to disregard the relations of this individual to others. In the individual's mental life someone else is invariably involved, as a model, as an object, as a helper, as an opponent, and so from the very first Individual Psychology is at the same time Social Psychology as wellÑin this extended but entirely justifiable sense of the words. The relations of an individual to his parents and to his brothers and sisters, to the object of his love, and to his physicianÑin fact all the relations which have hitherto been the chief subject of psycho-analytic researchÑmay claim to be considered as social phenomena; and in this respect they may be contrasted with certain other processes, described by us as 'narcissistic', in which the satisfaction of the instincts is partially or totally withdrawn from the influence of other people. The contrast between social and narcissisticÑBleuler would perhaps call them 'autistic'Ñmental acts therefore falls wholly within the domain of Individual Psychology, and is not well calculated to differentiate it from a Social or Group Psychology. |
| example of regression psychology: Thinking, Fast and Slow Daniel Kahneman, 2011-10-25 *Major New York Times Bestseller *More than 2.6 million copies sold *One of The New York Times Book Review's ten best books of the year *Selected by The Wall Street Journal as one of the best nonfiction books of the year *Presidential Medal of Freedom Recipient *Daniel Kahneman's work with Amos Tversky is the subject of Michael Lewis's best-selling The Undoing Project: A Friendship That Changed Our Minds In his mega bestseller, Thinking, Fast and Slow, Daniel Kahneman, world-famous psychologist and winner of the Nobel Prize in Economics, takes us on a groundbreaking tour of the mind and explains the two systems that drive the way we think. System 1 is fast, intuitive, and emotional; System 2 is slower, more deliberative, and more logical. The impact of overconfidence on corporate strategies, the difficulties of predicting what will make us happy in the future, the profound effect of cognitive biases on everything from playing the stock market to planning our next vacation—each of these can be understood only by knowing how the two systems shape our judgments and decisions. Engaging the reader in a lively conversation about how we think, Kahneman reveals where we can and cannot trust our intuitions and how we can tap into the benefits of slow thinking. He offers practical and enlightening insights into how choices are made in both our business and our personal lives—and how we can use different techniques to guard against the mental glitches that often get us into trouble. Topping bestseller lists for almost ten years, Thinking, Fast and Slow is a contemporary classic, an essential book that has changed the lives of millions of readers. |
| example of regression psychology: Classical and Modern Regression with Applications Raymond H. Myers, 1990 Regression analysis is a vitally important statistical tool, with major advancements made by both practical data analysts and statistical theorists. In CLASSICAL AND MODERN REGRESSION WITH APPLICATIONS, Second Edition, Raymond H. Myers provides a solid foundation in classical regression, while introducing modern techniques. Throughout the text, a broad spectrum of applications are included from the physical sciences, engineering, biology, management, and economics. |
| example of regression psychology: Interpretable Machine Learning Christoph Molnar, 2020 This book is about making machine learning models and their decisions interpretable. After exploring the concepts of interpretability, you will learn about simple, interpretable models such as decision trees, decision rules and linear regression. Later chapters focus on general model-agnostic methods for interpreting black box models like feature importance and accumulated local effects and explaining individual predictions with Shapley values and LIME. All interpretation methods are explained in depth and discussed critically. How do they work under the hood? What are their strengths and weaknesses? How can their outputs be interpreted? This book will enable you to select and correctly apply the interpretation method that is most suitable for your machine learning project. |
| example of regression psychology: Regression Basics Leo H. Kahane, 2007-11-28 Using a friendly, nontechnical approach, the Second Edition of Regression Basics introduces readers to the fundamentals of regression. Accessible to anyone with an introductory statistics background, this book builds from a simple two-variable model to a model of greater complexity. Author Leo H. Kahane weaves four engaging examples throughout the text to illustrate not only the techniques of regression but also how this empirical tool can be applied in creative ways to consider a broad array of topics. New to the Second Edition • Offers greater coverage of simple panel-data estimation: Because the availability of panel data has increased over the past decade, this new edition includes coverage of estimation with multiple cross-sections of data across time. • Provides an introductory discussion of omitted variables bias: As a problem that frequently arises, this issue is important for those new to regression analysis to understand. • Includes up-to-date advances: Chapter 7 is expanded to include recent developments in regression. • Uses a diverse selection of examples: Engaging examples illustrate the wide application of regression analysis from baseball salaries to presidential voting to British crime rates to U.S. abortion rates and more. • Includes more end-of-chapter problems: This edition offers new questions at the end of chapters that are based on the new examples woven through the book. • Illustrates examples using software programs: Appendix B now includes screenshots to further aid readers working with Microsoft Excel® and SPSS. Intended Audience This is an ideal core or supplemental text for advanced undergraduate and graduate courses such as Regression and Correlation, Sociological Research Methods, Quantitative Research Methods, and Statistical Methods in the fields of economics, public policy, political science, sociology, public affairs, urban planning, education, and geography. |
| example of regression psychology: Regression Models Richard Breen, 1996-01-09 This book provides an introduction to the regression models needed, where an outcome variable for a sample is not representative of the population from which a generalized result is sought. |
| example of regression psychology: Regression Analysis and its Application Richard F. Gunst, Robert L. Mason, 2018-04-27 Regression Analysis and Its Application: A Data-Oriented Approach answers the need for researchers and students who would like a better understanding of classical regression analysis. Useful either as a textbook or as a reference source, this book bridges the gap between the purely theoretical coverage of regression analysis and its practical application. The book presents regression analysis in the general context of data analysis. Using a teach-by-example format, it contains ten major data sets along with several smaller ones to illustrate the common characteristics of regression data and properties of statistics that are employed in regression analysis. The book covers model misspecification, residual analysis, multicollinearity, and biased regression estimators. It also focuses on data collection, model assumptions, and the interpretation of parameter estimates. Complete with an extensive bibliography, Regression Analysis and Its Application is suitable for statisticians, graduate and upper-level undergraduate students, and research scientists in biometry, business, ecology, economics, education, engineering, mathematics, physical sciences, psychology, and sociology. In addition, data collection agencies in the government and private sector will benefit from the book. |
| example of regression psychology: Intermediate Statistics Using SPSS Herschel Knapp, 2017-09-14 What statistical test should I use for this kind of data? How do I set up the data? What parameters should I specify when ordering the test? How do I interpret the results? Herschel Knapp′s friendly and approachable guide to real-world statistics answers these questions. Intermediate Statistics Using SPSS is not about abstract statistical theory or the derivation or memorization of statistical formulas–it is about applied statistics. With jargon-free language and clear processing instructions, this text covers the most common statistical functions–from basic to more advanced. Practical exercises at the conclusion of each chapter offer students an opportunity to process viable data sets, write cohesive abstracts in APA style, and build a thorough comprehension of the statistical process. Students will learn by doing with this truly practical approach to statistics. |
| example of regression psychology: Primary Process Thinking Robert R. Holt, 2008-12-19 Volume one of this comprehensive approach to one of Freud's most important conceptual achievements, the theory of thinking, examines the emergence and changes in his conceptions of primary and secondary process thought in their theoretical and clinical contexts. Unlike most treatments, which emphasize their embeddedness in metapsychology, the text demonstrates the empirical grounding of these concepts in observation and describes how it led to a method of quantitative measurement. A summary of major, theoretically relevant findings with that method, plus a critical review of post-Freudian reexaminations of primary process, leads to a reformulation of the psychoanalytic theory of thinking that is, in Rubinstein's term, protoneurophysiological: as consistent as possible with contemporary knowledge in the brain sciences. In so doing, the author attempts to convert a psychoanalytic theory into a set of testable propositions using objectively quantifiable, scientific concepts. Moreover, he shows how data obtained with his method can be used to confront the theoretical propositions, verifying some, rejecting some, and significantly modifying others. Volume two is an enclosed compact disc. The first ten chapters constitute a detailed scoring manual, designed to be self-teaching, for applying the concepts of primary process, its controls and defenses, to data from the Rorschach and Thematic Apperception Tests, dreams, and free verbal data. The remaining chapters treat its reliability and validity, including a critical summary of over one hundred researches from around the world, demonstrating how it can be used not only to test psychoanalytic propositions but to illuminate issues in clinical psychiatry, clinical and developmental psychology, and personality. A concluding chapter points to many promising directions for further research. |
| example of regression psychology: Personality Theory in a Cultural Context Mark D. Kelland, 2010-07-19 |
| example of regression psychology: Interpreting and Using Statistics in Psychological Research Andrew N. Christopher, 2016-08-30 This practical, conceptual introduction to statistical analysis by award-winning teacher Andrew N. Christopher uses published research with inherently interesting social sciences content to help students make clear connections between statistics and real life. Using a friendly, easy-to-understand presentation, Christopher walks students through the hand calculations of key statistical tools and provides step-by-step instructions on how to run the appropriate analyses for each type of statistic in SPSS and how to interpret the output. With the premise that a conceptual grasp of statistical techniques is critical for students to truly understand why they are doing what they are doing, the author avoids overly formulaic jargon and instead focuses on when and how to use statistical techniques appropriately. |
| example of regression psychology: The Technique of Child Psychoanalysis Joseph Sandler, Hansi Kennedy, Robert L. Tyson, 1980 This book distills the essence of child psychoanalysis from the practice and thought of its founder Anna Freud, who for over 50 years has been at the forefront of this controversial field. Children are the most refractory of all subjects to treat analytically. Here, for the first time, is a primer on the difficult technique as practiced at the Hampstead Clinic in London, which was founded by Anna Freud and is today the leading child analytic center in the world. She and her colleagues expose their wealth of experience to systematic review, which yields up rich insights not only into child psychoanalysis and psychotherapy but also into basic child development. In addition, their findings have relevance to the understanding of emotional disturbance at all ages. The book follows the treatment situation through all its stages, from the first session to termination and follow-up. It focuses on the interaction between therapist and child in the treatment room, illustrating the points with copious clinical vignettes. One point examined is the structure of treatment with respect to such matters as scheduling sessions and handling interruptions. Another element that comes under scrutiny is the development of the child's relationship to the therapist, which subsumes such factors as establishing an alliance, transference, and resistance. The child's repertoire of expressions, both verbal and nonverbal, is explored, as is the therapist's armamentarium of interpretations and interventions. Woven throughout the description of these elements is incisive commentary by Anna Freud. Her commonsense approach gives the book unique value, lifting it to a rare level of human wisdom. |
| example of regression psychology: Spurious Correlations Tyler Vigen, 2015-05-12 Spurious Correlations ... is the most fun you'll ever have with graphs. -- Bustle Military intelligence analyst and Harvard Law student Tyler Vigen illustrates the golden rule that correlation does not equal causation through hilarious graphs inspired by his viral website. Is there a correlation between Nic Cage films and swimming pool accidents? What about beef consumption and people getting struck by lightning? Absolutely not. But that hasn't stopped millions of people from going to tylervigen.com and asking, Wait, what? Vigen has designed software that scours enormous data sets to find unlikely statistical correlations. He began pulling the funniest ones for his website and has since gained millions of views, hundreds of thousands of likes, and tons of media coverage. Subversive and clever, Spurious Correlations is geek humor at its finest, nailing our obsession with data and conspiracy theory. |
| example of regression psychology: Linear Regression Damodar N. Gujarati, 2018-06-14 Damodar N. Gujarati’s Linear Regression: A Mathematical Introduction presents linear regression theory in a rigorous, but approachable manner that is accessible to students in all social sciences. This concise title goes step-by-step through the intricacies, and theory and practice of regression analysis. The technical discussion is provided in a clear style that doesn’t overwhelm the reader with abstract mathematics. End-of-chapter exercises test mastery of the content and advanced discussion of some of the topics is offered in the appendices. |
| example of regression psychology: Regression & Linear Modeling Jason W. Osborne, 2016-03-24 In a conversational tone, Regression & Linear Modeling provides conceptual, user-friendly coverage of the generalized linear model (GLM). Readers will become familiar with applications of ordinary least squares (OLS) regression, binary and multinomial logistic regression, ordinal regression, Poisson regression, and loglinear models. Author Jason W. Osborne returns to certain themes throughout the text, such as testing assumptions, examining data quality, and, where appropriate, nonlinear and non-additive effects modeled within different types of linear models. |
| example of regression psychology: Study Guide to Psychosomatic Medicine James A. Bourgeois, Robert E. Hales, Narriman C. Shahrokh, 2010-11-01 Study Guide to Psychosomatic Medicine is a question-and-answer companion that allows you to evaluate your mastery of the subject matter as you progress through The American Psychiatric Publishing Textbook of Psychosomatic Medicine, Second Edition. The Study Guide is made up of 271 questions divided into 41 individual quizzes of 5-10 questions each that correspond to chapters in the Textbook. Questions are followed by an Answer Guide that references relevant text (including the page number) in the Textbook to allow quick access to needed information. Each answer is accompanied by a discussion that not only addresses the correct response but also explains why other responses are not correct. The Study Guide's companion, The American Psychiatric Publishing Textbook of Psychosomatic Medicine: Psychiatric Care of the Medically III, Second Edition, again brings together a multinational group of distinguished contributors to address every aspect of psychiatric care in the medically ill. This book captures the diversity of the field, whose practitioners -- scholars, physicians, and clinicians of varied backgrounds -- represent a multiplicity of perspectives. |
| example of regression psychology: Regression Analysis Ashish Sen, Muni Srivastava, 2012-12-06 An up-to-date, rigorous, and lucid treatment of the theory, methods, and applications of regression analysis, and thus ideally suited for those interested in the theory as well as those whose interests lie primarily with applications. It is further enhanced through real-life examples drawn from many disciplines, showing the difficulties typically encountered in the practice of regression analysis. Consequently, this book provides a sound foundation in the theory of this important subject. |
EXAMPLE Definition & Meaning - Merriam-Webster
The meaning of EXAMPLE is one that serves as a pattern to be imitated or not to be imitated. How to use example in a sentence. Synonym Discussion of Example.
EXAMPLE | English meaning - Cambridge Dictionary
EXAMPLE definition: 1. something that is typical of the group of things that it is a member of: 2. a way of helping…. Learn more.
EXAMPLE Definition & Meaning | Dictionary.com
one of a number of things, or a part of something, taken to show the character of the whole. This painting is an example of his early work. a pattern or model, as of something to be imitated or …
Example - definition of example by The Free Dictionary
1. one of a number of things, or a part of something, taken to show the character of the whole. 2. a pattern or model, as of something to be imitated or avoided: to set a good example. 3. an …
Example Definition & Meaning - YourDictionary
To be illustrated or exemplified (by). Wear something simple; for example, a skirt and blouse.
EXAMPLE - Meaning & Translations | Collins English Dictionary
An example of something is a particular situation, object, or person which shows that what is being claimed is true. 2. An example of a particular class of objects or styles is something that has …
example noun - Definition, pictures, pronunciation and usage notes ...
used to emphasize something that explains or supports what you are saying; used to give an example of what you are saying. There is a similar word in many languages, for example in French …
Example - Definition, Meaning & Synonyms - Vocabulary.com
An example is a particular instance of something that is representative of a group, or an illustration of something that's been generally described. Example comes from the Latin word for …
example - definition and meaning - Wordnik
noun Something that serves as a pattern of behaviour to be imitated (a good example) or not to be imitated (a bad example). noun A person punished as a warning to others. noun A parallel or …
EXAMPLE Synonyms: 20 Similar Words - Merriam-Webster
Some common synonyms of example are case, illustration, instance, sample, and specimen. While all these words mean "something that exhibits distinguishing characteristics in its category," …
EXAMPLE Definition & Meaning - Merriam-Webster
The meaning of EXAMPLE is one that serves as a pattern to be imitated or not to be imitated. How to use example in a sentence. Synonym Discussion of Example.
EXAMPLE | English meaning - Cambridge Dictionary
EXAMPLE definition: 1. something that is typical of the group of things that it is a member of: 2. a way of helping…. Learn more.
EXAMPLE Definition & Meaning | Dictionary.com
one of a number of things, or a part of something, taken to show the character of the whole. This painting is an example of his early work. a pattern or model, as of something to be imitated or …
Example - definition of example by The Free Dictionary
1. one of a number of things, or a part of something, taken to show the character of the whole. 2. a pattern or model, as of something to be imitated or avoided: to set a good example. 3. an …
Example Definition & Meaning - YourDictionary
To be illustrated or exemplified (by). Wear something simple; for example, a skirt and blouse.
EXAMPLE - Meaning & Translations | Collins English Dictionary
An example of something is a particular situation, object, or person which shows that what is being claimed is true. 2. An example of a particular class of objects or styles is something that …
example noun - Definition, pictures, pronunciation and usage …
used to emphasize something that explains or supports what you are saying; used to give an example of what you are saying. There is a similar word in many languages, for example in …
Example - Definition, Meaning & Synonyms - Vocabulary.com
An example is a particular instance of something that is representative of a group, or an illustration of something that's been generally described. Example comes from the Latin word …
example - definition and meaning - Wordnik
noun Something that serves as a pattern of behaviour to be imitated (a good example) or not to be imitated (a bad example). noun A person punished as a warning to others. noun A parallel …
EXAMPLE Synonyms: 20 Similar Words - Merriam-Webster
Some common synonyms of example are case, illustration, instance, sample, and specimen. While all these words mean "something that exhibits distinguishing characteristics in its …
