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Methodology of Longitudinal Surveys Wiley Series in Survey Methodology 1st Edition by Peter Lynn ISBN 0470743913 9780470743911

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Methodology of Longitudinal Surveys Wiley Series in Survey Methodology 1st Edition Peter Lynn Digital Instant Download

Author(s): Peter Lynn
ISBN(s): 9780470743911, 0470743913
Edition: 1
File Details: PDF, 3.74 MB
Year: 2009
Language: english
SKU: EB-1904324 Category: Tag:

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ISBN 10: 0470743913 
ISBN 13: 9780470743911
Author: Peter Lynn

Longitudinal surveys are surveys that involve collecting data from multiple subjects on multiple occasions. They are typically used for collecting data relating to social, economic, educational and health-related issues and they serve as an important tool for economists, sociologists, and other researchers. Focusing on the design, implementation and analysis of longitudinal surveys, Methodology of Longitudinal Surveys discusses the current state of the art in carrying out these surveys. The book also covers issues that arise in surveys that collect longitudinal data via retrospective methods. Aimed at researchers and practitioners analyzing data from statistical surveys the book will also be suitable as supplementary reading for graduate students of survey statistics. This book: Covers all the main stages in the design, implementation and analysis of longitudinal surveys. Reviews recent developments in the field, including the use of dependent interviewing and mixed mode data collection. Discusses the state of the art in sampling, weighting and non response adjustment. Features worked examples throughout using real data. Addresses issues arising from the collection of data via retrospective methods, as well as ethical issues, confidentiality and non-response bias. Is written by an international team of contributors consisting of some of the most respected Survey Methodology experts in the field

Methodology of Longitudinal Surveys Wiley Series in Survey Methodology 1st Table of contents:

1. Introduction to Longitudinal Surveys

  • 1.1 What is a Longitudinal Survey?

  • 1.2 Importance of Longitudinal Data in Social Research

  • 1.3 Key Differences Between Cross-Sectional and Longitudinal Surveys

  • 1.4 Applications of Longitudinal Surveys in Various Fields (Health, Education, Economics)

  • 1.5 Overview of the Longitudinal Survey Methodology

2. The Design of Longitudinal Surveys

  • 2.1 Defining Research Questions and Objectives

  • 2.2 Designing Cohorts and Sampling Strategies

  • 2.3 Determining the Length and Frequency of Data Collection

  • 2.4 Key Issues in Longitudinal Survey Design

  • 2.5 Ethical Considerations in Longitudinal Surveys

3. Survey Sampling for Longitudinal Studies

  • 3.1 Types of Longitudinal Sampling Designs

  • 3.2 Sampling Techniques for Longitudinal Surveys

    • 3.2.1 Simple Random Sampling

    • 3.2.2 Stratified Sampling

    • 3.2.3 Cluster Sampling

    • 3.2.4 Multistage Sampling

  • 3.3 Dealing with Attrition and Non-Response

  • 3.4 Sample Size Determination and Power Analysis

  • 3.5 Handling Unequal Observation Periods

4. Data Collection Methods in Longitudinal Surveys

  • 4.1 Questionnaires and Surveys: Design Considerations

  • 4.2 Interviews and Observational Techniques

  • 4.3 Use of Technology in Longitudinal Data Collection (Web-based, Mobile Surveys)

  • 4.4 Managing Data Collection across Multiple Waves

  • 4.5 Incentives and Participant Engagement Strategies

5. Measurement and Scaling in Longitudinal Surveys

  • 5.1 Developing Reliable and Valid Measurement Tools

  • 5.2 Constructing Scales for Longitudinal Data

  • 5.3 Dealing with Changes in Measurement Over Time

  • 5.4 Item Response Theory (IRT) in Longitudinal Surveys

  • 5.5 Measurement Invariance: Assessing Consistency across Waves

6. Data Management and Data Quality

  • 6.1 Cleaning and Organizing Longitudinal Data

  • 6.2 Managing Large Datasets: Challenges and Solutions

  • 6.3 Dealing with Missing Data and Imputation Techniques

  • 6.4 Ensuring Consistency and Accuracy in Multi-Wave Surveys

  • 6.5 Data Security and Confidentiality Concerns in Longitudinal Studies

7. Statistical Methods for Longitudinal Data Analysis

  • 7.1 Introduction to Longitudinal Data Analysis Techniques

  • 7.2 Descriptive Analysis of Longitudinal Data

  • 7.3 Mixed-Effects Models for Longitudinal Data

  • 7.4 Growth Curve Models and Latent Variable Modeling

  • 7.5 Survival Analysis and Event History Modeling

  • 7.6 Advanced Statistical Methods: Bayesian Approaches and Structural Equation Modeling (SEM)

8. Handling Attrition and Missing Data

  • 8.1 Causes and Consequences of Attrition in Longitudinal Surveys

  • 8.2 Strategies to Minimize Attrition

  • 8.3 Methods for Analyzing Data with Missing Values

    • 8.3.1 Complete Case Analysis

    • 8.3.2 Imputation Methods

    • 8.3.3 Weighting and Inverse Probability Methods

  • 8.4 Using Sensitivity Analysis to Assess Missing Data Impact

9. Longitudinal Survey Design in Practice

  • 9.1 Case Studies: Longitudinal Surveys in Health and Medicine

  • 9.2 Case Studies: Education and Social Policy Longitudinal Studies

  • 9.3 Case Studies: Longitudinal Research in Economics and Behavioral Science

  • 9.4 Practical Challenges and Solutions in Conducting Longitudinal Surveys

10. Ethical Considerations in Longitudinal Surveys

  • 10.1 Ethical Issues in Long-Term Data Collection

  • 10.2 Informed Consent in Longitudinal Studies

  • 10.3 Confidentiality and Privacy Concerns over Time

  • 10.4 Participant Welfare and Engagement Strategies

  • 10.5 Ethical Decision-Making and Long-Term Follow-Ups

11. Challenges and Future Directions in Longitudinal Surveys

  • 11.1 Emerging Trends in Longitudinal Survey Methodology

  • 11.2 The Impact of Technology and Big Data on Longitudinal Studies

  • 11.3 Addressing Challenges of Cross-National and Cross-Cultural Longitudinal Studies

  • 11.4 The Role of Longitudinal Surveys in Evidence-Based Policy

  • 11.5 The Future of Longitudinal Data: Opportunities and Innovations

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