Handbook Of Longitudinal Research: Design, Measurement, And Analysis

Other | October 1, 2007

byMenard, Scott, Scott Menard

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Longitudinal research is a broad field in which substantial advances have been made over the past decade. Unlike many of the existing books that only address the analysis of information. TheHandbook of Longitudinal Researchcovers design and measurement as well as the data analysis.

Designed for use by a wide-ranging audience, this Handbook not only includes perspective on the methodological and data analysis problems in longitudinal research but it also includes contributors' data sets that enable readers who lack sophisticated statistics skills to move from theories about longitudinal data into practice.

Asthecomprehensive reference, this Handbook has no direct competition as most books in this subject area are more narrowly specialized and are pitched at a high mathematical level.

*Contributors and subject areas are interdisciplinary to reach the broadest possible audience (i.e., psychology, epidemiology, and economics research fields)
*Summary material will be included for less sohisticated readers
*Extensive coverage is provided of traditional advanced topics

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From the Publisher

Longitudinal research is a broad field in which substantial advances have been made over the past decade. Unlike many of the existing books that only address the analysis of information. TheHandbook of Longitudinal Researchcovers design and measurement as well as the data analysis.Designed for use by a wide-ranging audience, this Handb...

Format:OtherDimensions:680 pages, 1 × 1 × 1 inPublished:October 1, 2007Publisher:Academic PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0080554229

ISBN - 13:9780080554228

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Extra Content

Table of Contents

Table of Contents --
1. Longitudinal Research Design (6 chapters)
2. Measurement Issues in Longitudinal Research (6 chapters)
3. Descriptive and Causal Analysis in Longitudinal Resarch (6 chapters)
4. Description and Measurement of Qualitative Change (5 chapters)
5. Timing of Qualitative Change: Event History Analysis (4 chapters)
6. Panel Analysis, Structural Equation Models, and Multilevel Models (6 chapters)
7. Time Series Analysis and Deterministic Dynamic Models (3 chapters)