The Critique of Regression

No one makes a pure return to the subjective world of his infancy.1 The book is organized into ten chapters in which I trace the history of the concept of regression, discuss past and present critiques, and attempt to substantiate the ...

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Author: Gregory S. Rizzolo

Publisher: Routledge

ISBN: 9780429865015

Category: Psychology

Page: 220

View: 957

The Critique of Regression presents the most in-depth critique of regression available in the psychoanalytic literature, whilst presenting the first psychoanalytic theory of irreversible lifespan development. The clinical implications are amply demonstrated in three chapter-length psychoanalytic cases. The most important implication is that when we revisit the past, in a private memory or in an analytic session, we remake it afresh in light of the present. The analysis of the past is always, in this sense, an exploration of the present. Gregory S. Rizzolo demonstrates that where we think we see returns, or regressions, to past stages of the lifespan, we in fact find the emergence of novel structures in subjective experience. Rizzolo considers the work of human development to be a work of mourning in which we lose, internalize and keep re-working the residue of a past to which we never return. The traditional notion of regression, which supports the fantasy of a literal return, operates as an intellectual defense against the mourning process. To critique the concept is to address the defense and to confront the loss of past relationships and of past versions of selfhood inherent in development. From the work of mourning emerge ever-new configurations of desire, defense and subjective meaning. The task of analysis is to cultivate, amidst the repetition of familiar patterns, the potential for novelty at play in each moment. This thought-provoking work will interest new and experienced psychoanalytic clinicians alike, who want to go beyond traditional theories of development to a contemporary look at how we develop inexorably across the lifespan.

Regression Analysis

PLEASE UPDATE SAGE INDIA AND SAGE UK ADDRESSES ON IMPRINT PAGE.

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Author: Richard A. Berk

Publisher: SAGE

ISBN: 9780761929048

Category: Social Science

Page: 259

View: 509

Regression Analysis: A Constructive Critique identifies a wide variety of problems with regression analysis as it is commonly used and then provides a number of ways in which practice could be improved. Regression is most useful for data reduction, leading to relatively simple but rich and precise descriptions of patterns in a data set. The emphasis on description provides readers with an insightful rethinking from the ground up of what regression analysis can do, so that readers can better match regression analysis with useful empirical questions and improved policy-related research. "An interesting and lively text, rich in practical wisdom, written for people who do empirical work in the social sciences and their graduate students." --David A. Freedman, Professor of Statistics, University of California, Berkeley

Regression Analysis

Consequently, this book provides a sound foundation in the theory of this important subject.

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Author: Ashish Sen

Publisher: Springer Science & Business Media

ISBN: 0387972110

Category: Psychology

Page: 348

View: 747

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.

A Clinician s Guide to the Critique and Utilization of Nursing Research

The former is referred to as " multiple regression " and the latter as " factor analysis . ' An evaluation of the problems associated with each of these statistical models follows . Multiple Regression Regression is a statistical ...

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Author: Linda Ree Fraelich Phillips

Publisher:

ISBN: UOM:39015010150988

Category: Clinical medicine..

Page: 477

View: 140

The Critique of Regression

This thought-provoking work will interest new and experienced psychoanalytic clinicians alike, who want to go beyond traditional theories of development to a contemporary look at how we develop inexorably across the lifespan.

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Author: Gregory S. Rizzolo

Publisher:

ISBN: 113862439X

Category: Psychoanalysis

Page: 240

View: 644

The Critique of Regression presents the most in-depth critique of regression available in the psychoanalytic literature, whilst presenting the first psychoanalytic theory of irreversible lifespan development. The clinical implications are amply demonstrated in three chapter-length psychoanalytic cases. The most important implication is that when we revisit the past, in a private memory or in an analytic session, we remake it afresh in light of the present. The analysis of the past is always, in this sense, an exploration of the present. Gregory S. Rizzolo demonstrates that where we think we see returns, or regressions, to past stages of the lifespan, we in fact find the emergence of novel structures in subjective experience. Rizzolo considers the work of human development to be a work of mourning in which we lose, internalize and keep re-working the residue of a past to which we never return. The traditional notion of regression, which supports the fantasy of a literal return, operates as an intellectual defense against the mourning process. To critique the concept is to address the defense and to confront the loss of past relationships and of past versions of selfhood inherent in development. From the work of mourning emerge ever-new configurations of desire, defense and subjective meaning. The task of analysis is to cultivate, amidst the repetition of familiar patterns, the potential for novelty at play in each moment. This thought-provoking work will interest new and experienced psychoanalytic clinicians alike, who want to go beyond traditional theories of development to a contemporary look at how we develop inexorably across the lifespan.

Topics in Regression Analysis

The recent revival of interest in this subject is perhaps attributable to the analysis of “ specification error ” developed by Theil ( 1957 ) and to the critique of stepwise regression offered by Goldberger and Jochems ( 1961 ) .

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Author: Arthur Stanley Goldberger

Publisher:

ISBN: STANFORD:36105033144127

Category: Regression Analysis

Page: 144

View: 213

Word Knowledge and Word Usage

Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Lawrence Erlbaum Associates. → Dalal, Dev K., & Michael J. Zickar. 2012. Some common myths about centering predictor variables in ...

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Author: Vito Pirrelli

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 9783110432442

Category: Language Arts & Disciplines

Page: 725

View: 218

Word storage and processing define a multi-factorial domain of scientific inquiry whose thorough investigation goes well beyond the boundaries of traditional disciplinary taxonomies, to require synergic integration of a wide range of methods, techniques and empirical and experimental findings. The present book intends to approach a few central issues concerning the organization, structure and functioning of the Mental Lexicon, by asking domain experts to look at common, central topics from complementary standpoints, and discuss the advantages of developing converging perspectives. The book will explore the connections between computational and algorithmic models of the mental lexicon, word frequency distributions and information theoretical measures of word families, statistical correlations across psycho-linguistic and cognitive evidence, principles of machine learning and integrative brain models of word storage and processing. Main goal of the book will be to map out the landscape of future research in this area, to foster the development of interdisciplinary curricula and help single-domain specialists understand and address issues and questions as they are raised in other disciplines.

Analysis of Incidence Rates

Standardized regression coefficients: A further critique and review of some alternatives. Epidemiology 2 (5):387–392. Greenland, S., M.A. Mansournia, and D.G. Altman. 2016. Sparse data bias: A problem hiding in plain sight.

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Author: Peter Cummings

Publisher: CRC Press

ISBN: 9780429621208

Category: Mathematics

Page: 474

View: 327

Incidence rates are counts divided by person-time; mortality rates are a well-known example. Analysis of Incidence Rates offers a detailed discussion of the practical aspects of analyzing incidence rates. Important pitfalls and areas of controversy are discussed. The text is aimed at graduate students, researchers, and analysts in the disciplines of epidemiology, biostatistics, social sciences, economics, and psychology. Features: Compares and contrasts incidence rates with risks, odds, and hazards. Shows stratified methods, including standardization, inverse-variance weighting, and Mantel-Haenszel methods Describes Poisson regression methods for adjusted rate ratios and rate differences. Examines linear regression for rate differences with an emphasis on common problems. Gives methods for correcting confidence intervals. Illustrates problems related to collapsibility. Explores extensions of count models for rates, including negative binomial regression, methods for clustered data, and the analysis of longitudinal data. Also, reviews controversies and limitations. Presents matched cohort methods in detail. Gives marginal methods for converting adjusted rate ratios to rate differences, and vice versa. Demonstrates instrumental variable methods. Compares Poisson regression with the Cox proportional hazards model. Also, introduces Royston-Parmar models. All data and analyses are in online Stata files which readers can download. Peter Cummings is Professor Emeritus, Department of Epidemiology, School of Public Health, University of Washington, Seattle WA. His research was primarily in the field of injuries. He used matched cohort methods to estimate how the use of seat belts and presence of airbags were related to death in a traffic crash. He is author or co-author of over 100 peer-reviewed articles.

Spatial Analysis in Health Geography

Some notes on parametric significance tests for geographically weighted regression. Journal of Regional Science, 39(3): 497–524. Brunsdon, C., Fotheringham, S., and M. Charlton. 1998. Geographically weighted regressionmodelling spatial ...

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Author: Pavlos Kanaroglou

Publisher: Routledge

ISBN: 9781317051572

Category: Social Science

Page: 344

View: 230

Presenting current research on spatial epidemiology, this book covers topics such as exposure, chronic disease, infectious disease, accessibility to health care settings and new methods in Geographical Information Science and Systems. For epidemiologists, and for the management and administration of health care settings, it is critical to understand the spatial dynamics of disease. For instance, it is crucial that hospital administrators develop an understanding of the flow of patients over time, especially during an outbreak of a particular disease, so they can plan for appropriate levels of staffing and to carry out adaptive prevention measures. Furthermore, understanding where and why a disease occurs at a certain geographic location is vital for decision makers to formulate policy to increase the accessibility to health services (either by prevention, or adding new facilities). Spatial epidemiology relies increasingly on new methodologies, such as clustering algorithms, visualization and space-time modelling, the domain of Geographic Information Science. Implementation of those techniques appears at an increasing pace in commercial Geographic Information Systems, alongside more traditional techniques that are already part of such systems. This book provides the latest methods in GI Science and their use in health related problems.

Research Methods in Accounting

that for moderated regression analysis looks like: Y = a0 + b1X1 + c2X2 + d3 (X1 * X2) + e Y= a0+b1X1+c2X2+e and contains an additional 'interaction' term. The product term (X1 * X2) represents the 'moderating' effect of X2 on the ...

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Author: Professor Malcolm Smith

Publisher: SAGE

ISBN: 9781412933520

Category: Business & Economics

Page: 256

View: 664

`Malcolm Smith's Research Methods in Accounting provides a useful addition to the limited number of books on research methods that are addressed specifically to the area of accounting. For students taking DBA degrees in the area, it is probably an ideal companion' - The European Accounting Review Research in accounting is concerned with solving problems, investigating relationships and building a body of knowledge. With this in mind, this book will provide a clear and concise overview of the conduct of applied research studies in accounting. It provides the principal building blocks of how to implement research in accounting and related fields. This book provides students with: - an understanding of contemporary research ideas in accounting, so that readers can identify and define research problems and prepare strategies for their solution; - an awareness of alternative research methods, to facilitate the selection of the most appropriate method for addressing particular research questions; - an ability to review existing research and to offer critiques of articles published in refereed journals; - an appreciation of the ethical constraints on the conduct of accounting research. This book will be essential for students and academics in the fields of accounting and management.