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Analysis Of Change


Analysis Of Change
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New Methods For The Analysis Of Change


New Methods For The Analysis Of Change
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Author : Linda M. Collins
language : en
Publisher: Amer Psychological Assn
Release Date : 2001-01-01

New Methods For The Analysis Of Change written by Linda M. Collins and has been published by Amer Psychological Assn this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001-01-01 with Medical categories.


Annotation Psychologists update the Association's 1991 with 12 studies, many from a conference held at Pennsylvania State University in 1998, and some with comments attached. The topics include differential structural equation modeling of intra-individual variability, combining auto-regressive and latent curve models, and planned missing-data designs for analyzing change. Annotation c. Book News, Inc., Portland, OR (booknews.com).



Analysis Of Change


Analysis Of Change
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Author : Uwe Engel
language : en
Publisher: Walter de Gruyter
Release Date : 1996

Analysis Of Change written by Uwe Engel and has been published by Walter de Gruyter this book supported file pdf, txt, epub, kindle and other format this book has been release on 1996 with Social Science categories.


By making both causal and process analyses possible, panel data has enjoyed increasing popularity in empirical science. In this compilation, several statistical techniques are presented in the face of a growing need to analyze panel data. Measurement error, missing data, heterogeneous populations and particular requirements for causal interference make the analysis of change more difficult. Readers will find up-to-date approaches covering a wide range of topics. Among these are loglinear and probit models, state space models, and structural equation and multilevel growth curve models of panel data.



Parametric Statistical Change Point Analysis


Parametric Statistical Change Point Analysis
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Author : Jie Chen
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-11-11

Parametric Statistical Change Point Analysis written by Jie Chen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-11-11 with Mathematics categories.


Recently there has been a keen interest in the statistical analysis of change point detec tion and estimation. Mainly, it is because change point problems can be encountered in many disciplines such as economics, finance, medicine, psychology, geology, litera ture, etc. , and even in our daily lives. From the statistical point of view, a change point is a place or time point such that the observations follow one distribution up to that point and follow another distribution after that point. Multiple change points problem can also be defined similarly. So the change point(s) problem is two fold: one is to de cide if there is any change (often viewed as a hypothesis testing problem), another is to locate the change point when there is a change present (often viewed as an estimation problem). The earliest change point study can be traced back to the 1950s. During the fol lowing period of some forty years, numerous articles have been published in various journals and proceedings. Many of them cover the topic of single change point in the means of a sequence of independently normally distributed random variables. Another popularly covered topic is a change point in regression models such as linear regres sion and autoregression. The methods used are mainly likelihood ratio, nonparametric, and Bayesian. Few authors also considered the change point problem in other model settings such as the gamma and exponential.



Longitudinal Analysis


Longitudinal Analysis
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Author : Lesa Hoffman
language : en
Publisher: Routledge
Release Date : 2015-01-30

Longitudinal Analysis written by Lesa Hoffman and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-01-30 with Psychology categories.


Longitudinal Analysis provides an accessible, application-oriented treatment of introductory and advanced linear models for within-person fluctuation and change. Organized by research design and data type, the text uses in-depth examples to provide a complete description of the model-building process. The core longitudinal models and their extensions are presented within a multilevel modeling framework, paying careful attention to the modeling concerns that are unique to longitudinal data. Written in a conversational style, the text provides verbal and visual interpretation of model equations to aid in their translation to empirical research results. Overviews and summaries, boldfaced key terms, and review questions will help readers synthesize the key concepts in each chapter. Written for non-mathematically-oriented readers, this text features: A description of the data manipulation steps required prior to model estimation so readers can more easily apply the steps to their own data An emphasis on how the terminology, interpretation, and estimation of familiar general linear models relates to those of more complex models for longitudinal data Integrated model comparisons, effect sizes, and statistical inference in each example to strengthen readers’ understanding of the overall model-building process Sample results sections for each example to provide useful templates for published reports Examples using both real and simulated data in the text, along with syntax and output for SPSS, SAS, STATA, and Mplus at www.PilesOfVariance.com to help readers apply the models to their own data The book opens with the building blocks of longitudinal analysis—general ideas, the general linear model for between-person analysis, and between- and within-person models for the variance and the options within repeated measures analysis of variance. Section 2 introduces unconditional longitudinal models including alternative covariance structure models to describe within-person fluctuation over time and random effects models for within-person change. Conditional longitudinal models are presented in section 3, including both time-invariant and time-varying predictors. Section 4 reviews advanced applications, including alternative metrics of time in accelerated longitudinal designs, three-level models for multiple dimensions of within-person time, the analysis of individuals in groups over time, and repeated measures designs not involving time. The book concludes with additional considerations and future directions, including an overview of sample size planning and other model extensions for non-normal outcomes and intensive longitudinal data. Class-tested at the University of Nebraska-Lincoln and in intensive summer workshops, this is an ideal text for graduate-level courses on longitudinal analysis or general multilevel modeling taught in psychology, human development and family studies, education, business, and other behavioral, social, and health sciences. The book’s accessible approach will also help those trying to learn on their own. Only familiarity with general linear models (regression, analysis of variance) is needed for this text.



Best Methods For The Analysis Of Change


Best Methods For The Analysis Of Change
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Author : Linda M. Collins
language : en
Publisher:
Release Date : 2009

Best Methods For The Analysis Of Change written by Linda M. Collins and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009 with categories.


The chapters making up this book represent a rich offering of current research on the analysis of change. (PsycINFO Database Record (c) 2004 APA, all rights reserved).



Business Analysis And Leadership


Business Analysis And Leadership
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Author : Penny Pullan
language : en
Publisher: Kogan Page Publishers
Release Date : 2013-09-03

Business Analysis And Leadership written by Penny Pullan and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-09-03 with Business & Economics categories.


21st century organizations, across all sectors and of all types, have to cope with an international marketplace where change is frequent and customer expectations continue to rise. The work of business analysis professionals is crucial if organizations are to succeed and grow. If change programmes are to be successful, stakeholder engagement and situation analysis are vital, and to achieve this, senior business people need to display competence in a range of areas, not least of which include the ability to challenge, lead and influence. Business Analysis and Leadership is for anyone involved in business analysis working in any organization worldwide, from financial services to charities, government to manufacturing. It takes the reader beyond standard textbooks full of techniques and tools, advising on how to lead and gain credibility throughout the organization. It will help you with the tricky role of working with people from the shop floor to board directors and give readers the confidence to challenge the easy way forward and point out what will really work in practice. This inspirational book consists of contributions from leading thinkers and practitioners in business analysis from around the world. Their case studies, practical advice and downloadable appendices will help the reader to develop leadership skills and become an outstanding catalyst for change.



The Psychology Of Organizational Change


The Psychology Of Organizational Change
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Author : Shaul Oreg
language : en
Publisher: Cambridge University Press
Release Date : 2013-04-18

The Psychology Of Organizational Change written by Shaul Oreg and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-04-18 with Business & Economics categories.


This volume examines organizational change from the employee's perspective.



Stream Analysis


Stream Analysis
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Author : Jerry I. Porras
language : en
Publisher: Prentice Hall
Release Date : 1987

Stream Analysis written by Jerry I. Porras and has been published by Prentice Hall this book supported file pdf, txt, epub, kindle and other format this book has been release on 1987 with Business & Economics categories.


A member of the AWL OD Series! This book presents a conceptual framework for organizations that will help managers and change- practitioners to better understand organizations. Drawing on that framework, the book describes an approach for diagnosing failings in organizational functioning and for planning a comprehensive set of actions needed to change the organization into a more effective system. This approach, called "Stream Analysis," is explained in detail and examples from three types of organizations are used to illustrate the explanation of the techniques of Stream Analysis.



Biogeochemistry


Biogeochemistry
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Author : W.H. Schlesinger
language : en
Publisher: Academic Press
Release Date : 2013-01-14

Biogeochemistry written by W.H. Schlesinger and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-14 with Nature categories.


For the past 4 billion years, the chemistry of the Earth's surface, where all life exists, has changed remarkably. Historically, these changes have occurred slowly enough to allow life to adapt and evolve. In more recent times, the chemistry of the Earth is being altered at a staggering rate, fueled by industrialization and an ever-growing human population. Human activities, from the rapid consumption of resources to the destruction of the rainforests and the expansion of smog-covered cities, are all leading to rapid changes in the basic chemistry of the Earth. The Third Edition of Biogeochemistry considers the effects of life on the Earth's chemistry on a global level. This expansive text employs current technology to help students extrapolate small-scale examples to the global level, and also discusses the instrumentation being used by NASA and its role in studies of global change. With the Earth's changing chemistry as the focus, this text pulls together the many disparate fields that are encompassed by the broad reach of biogeochemistry. With extensive cross-referencing of chapters, figures, and tables, and an interdisciplinary coverage of the topic at hand, this text will provide an excellent framework for courses examining global change and environmental chemistry, and will also be a useful self-study guide. Emphasizes the effects of life on the basic chemistry of the atmosphere, the soils, and seawaters of the EarthCalculates and compares the effects of industrial emissions, land clearing, agriculture, and rising population on Earth's chemistrySynthesizes the global cycles of carbon, nitrogen, phosphorous, and sulfur, and suggests the best current budgets for atmospheric gases such as ammonia, nitrous oxide, dimethyl sulfide, and carbonyl sulfideIncludes an extensive review and up-to-date synthesis of the current literature on the Earth's biogeochemistry.



Causal Analysis With Panel Data


Causal Analysis With Panel Data
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Author : Steven E. Finkel
language : en
Publisher: SAGE
Release Date : 1995-01-17

Causal Analysis With Panel Data written by Steven E. Finkel and has been published by SAGE this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995-01-17 with Medical categories.


Panel data, which consist of information gathered from the same individuals or units at several different points in time, are commonly used in the social sciences to test theories of individual and social change. This book provides an overview of models that are appropriate for the analysis of panel data, focusing specifically on the area where panels offer major advantages over cross-sectional research designs: the analysis of causal interrelationships among variables. Without "painting" panel data as a cure all for the problems of causal inference in nonexperimental research, the author shows how panel data offer multiple ways of strengthening the causal inference process. In addition, he shows how to estimate models that contain a variety of lag specifications, reciprocal effects, and imperfectly measured variables. Appropriate for readers who are familiar with multiple regression analysis and causal modeling, this book will offer readers the highlights of developments in this technique from diverse disciplines to analytic traditions.