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High Impact Internal Evaluation: A Practitioner's Guide to Evaluating and Consulting Inside Organizations

by Sonnichsen R SAGE Publications, Inc
Pub Date:
Ebk 344 pages
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This timely, thoughtful book provides a clear introduction to using panel data in research. It describes the different types of panel datasets commonly used for empirical analysis, and how to use them for cross sectional, panel, and event history analysis. Longhi and Nandi then guide the reader through the data management and estimation process, including the interpretation of the results and the preparation of the final output tables. Using existing data sets and structured as hands-on exercises, each chapter engages with practical issues associated with using data in research. These include: Data cleaning Data preparation Computation of descriptive statistics Using sample weights Choosing and implementing the right estimator Interpreting results Preparing final output tables Written by experienced authors this exciting textbook provides the practical tools needed to use panel data in research.

Why Panel Surveys
Different Types of Panel Surveys
A First Look at the Data Using Stata
Preparing the Data for Longitudinal Analysis
Working with Multiple Datasets
Identifying Household Members and Matching Information of Spouses and Partners
Sample Design, Non-response and Weights
Analysis of Cross-Section Data
Analysis of Panel Data for Continuous Dependent Variables
Analysis of Panel Data for Discrete Dependent Variables
Introduction to Duration Analysis
How to Use Retrospective History Data Files: an Example
Analysis of Event History Data
Producing Output Tables and Graphs

This book is exactly what I have been looking for in my teaching, as a valuable guide for graduate and advanced undergraduate students who are thinking of tackling panel data but feel overwhelmed by how complicated it seems compared to working with standard cross-sectional datasets. The authors nicely combine discussion of general statistical principles with lots of example Stata code demonstrating many types of analysis. Critically, the book tells students and researchers not only how to carry out analysis but shows how to prepare and manage panel data. Nick Allum This is a unique and refreshing resource in the field of panel data analysis of individuals and households. The book takes the reader by the hand and covers the whole of the research process. In doing so, it provides solutions to very relevant issues faced by longitudinal research practitioners in their day-to-day work lives, striking a fine balance between substantive and practical advice. A must have for researchers, instructors and students interested in the analysis of household panel datasets. Francisco (Paco) Perales This is an excellent practical guide to carrying out analysis of individual level panel surveys. Providing the reader with everything they need to know and written with exemplary clarity, it works through issues and approaches in a logical way yet without oversimplifying. I would recommend anyone contemplating analysis of a panel study, whether for an MSc dissertation, a PhD or an academic experienced with cross-sectional data to read and ndash; and use - it. Lucinda Platt Simonetta Longhi and Alita Nandi and rsquo;s book is a clear and comprehensive guide to panel data in all its complexity. It is a must for any researcher interested in using one of the household longitudinal studies The book is full of useful advice with abundant examples of Stata programs and techniques. I will be recommending it to colleagues and students alike. Amanda Sacker
Simonetta Longhi is Research Fellow at the Institute for Social and Economic Research at the University of Essex. She is also Research Fellow at the Institute for the Study of Labour (IZA) and Research Affiliate at the Centre for Research and Analysis of Migration (CReAM). Her research interests are on migration and labour economics and she has published various journal articles using individual and household datasets. For many years she has taught courses on how to analyse the British Household Panel Survey and the Understanding Society datasets, and she is currently teaching a course on applications of data analysis. Alita Nandi is Research Fellow at the Institute for Social and Economic Research. Her research interests include issues of ethnicity, identity, personality, family formation and dissolution. She has conducted empirical research in these areas using cohort and household panel datasets and published in various journals. She has been part of the Ethnicity Strand of Understanding Society since 2007. For the last few years she has taught courses on applications of data analysis and on how to use and analyse the British Household Panel Survey and Understanding Society datasets.