Cross Section and Experimental Data Analysis Using Eviews

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Edition: 1st
Format: Hardcover
Pub. Date: 2011-03-29
Publisher(s): Wiley
List Price: $173.81

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Summary

Practical guide to selecting and applying the most appropriate model for analysis of cross section data using EViewsBasic theoretical concepts of statistics as well as sampling methods are often misinterpreted by students and less experienced researchers. This book addresses this issue by providing a hands-on practical guide to conducting data analysis using EViews combined with a variety of illustrative models (and their extensions). Models having numerically dependent variables based on a cross-section data set (such as univariate, multivariate and nonlinear models as well as non-parametric regressions) are concentrated on. It is shown that a wide variety of hypotheses can easily be tested using EViews.Cross Section and Experimental Data Analysis Using EViews: Provides step-by-step directions on how to apply EViews to cross section data analysis - from multivariate analysis and nonlinear models to non-parametric regression Presents a method to test for all possible hypotheses based on each model Proposes a new method for data analysis based on a multifactorial design model Demonstrates that statistical summaries in the form of tabulations are invaluable inputs for strategic decision making Contains 200 examples with special notes and comments based on the author's own empirical findings as well as over 400 illustrative outputs of regressions from EViews Techniques are illustrated through practical examples from real situations Comes with supplementary material, including work-files containing selected equation and system specifications that have been applied in the bookThis user-friendly introduction to EViews is ideal for Advanced undergraduate and graduate students taking finance, econometrics, population, or public policy courses, as well as applied policy researchers.

Author Biography

Richard Whittington is Professor of Mental Health in the Institute of Psychology, Health and Society at the University of Liverpool and an Honorary Research Fellow at Mersey Care NHS Trust. He has a PhD from the Institute of Psychiatry in London, and is a researcher and forensic psychologist with a particular research interest in the issues of violence, self-harm and mental health. Caroline Logan is a Consultant Forensic Clinical Psychologist in Greater Manchester West Mental Health NHS Foundation Trust and an Honorary Research Fellow at the University of Manchester. She has a DPhil from the University of Oxford and is both practitioner and researcher, focusing on violence and self-harm, personality disorder and risk.

Table of Contents

Contributorsp. vii
Forewordp. xvii
Prefacep. xix
Introductionp. 1
Experiencep. 9
Service Users: Experiences of Risk and Risk Managementp. 11
Carers: Experiences of Risk and Risk Managementp. 35
Evidencep. 53
Understanding and Managing Self-Harm in Mental Health Servicesp. 55
Understanding and Managing Violence in Mental Health Servicesp. 79
Suicide and Homicide by People with Mental Illness: A National Overviewp. 97
Evidence and Principles for Service User Involvement in Risk Managementp. 119
Practicep. 143
Guidelines and Standards for Managing Risk in Mental Health Servicesp. 145
Organizations, Corporate Governance and Risk Managementp. 163
Formulation in Clinical Risk Assessment and Managementp. 187
Evidence and Principles for Positive Risk Managementp. 205
Encouraging Positive Risk Management: Supporting Decisions by People with Learning Disabilities Using a Human Rights-Based Approachp. 215
Implementationp. 237
Case Study 1: A Four-Step Model of Implementationp. 239
Case Study 2: Narrowing the Gap between Policy and Practicep. 251
Case Study 3: Learning from Experience - Using Clinical Risk Data to Influence and Shape Clinical Servicesp. 259
Case Study 4: From Ticking Boxes to Effective Risk Managementp. 267
Conclusionsp. 279
Glossaryp. 287
Indexp. 297
Table of Contents provided by Ingram. All Rights Reserved.

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