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Introduction to Multiple Regression
In the previous chapters, we have focused on relationships between only two variables at a time. Most relationships that we are interested in social...
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Surveying Hard-to-Reach Groups Through Sampled Respondents in a Social Network
The sampling frame in most social science surveys misses members of certain groups, such as the homeless or individuals living with HIV. These groups...
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Approaches for event history analysis based on complex longitudinal survey data
A researcher using complex longitudinal survey data for event history analysis has to make several choices that affect the analysis results. These...
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Sampling
Household survey data are generated by sampling, and cannot be interpreted successfully unless the sampling has been done correctly.
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Other Advanced Techniques
In this chapter we will learn about several additional advanced multivariate statistical techniques that are finding increasing application in...
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Nonparametric additive location-scale models for interval censored data
An nonparametric additive model for the location and dispersion of a continuous response with an arbitrary smooth conditional distribution is...
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Concepts of Statistical Disclosure Limitation
The SDL literature has its own terminology. Understanding this terminology and, more importantly, the concepts underlying the terminology is...
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Cross Sectional Analysis in One Dimension
One cannot interpret the data of a frequency distribution without first paying attention to the fact, that the ‘statistical-counting-units’ had to be...
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The Demography of Conflict-Related Mortality in Timor-Leste (1974–1999): Reflections on Empirical Quantitative Measurement of Civilian Killings, Disappearances, and Famine-Related Deaths
Assessments of the magnitude and patterns of human rights violations have been done by many methods, most frequently using convenience samples of...
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Parametric Methods for Multiple Equation LDV Models
Going further from single equation models with limited dependent variables (LDV) in the preceding chapter, multiple equations with LDV’s are examined.
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Item Response Theory: Past Performance, Present Developments, and Future Expectations
We give a historical introduction to item response theory, which places the work of Thurstone, Lord, Guttman and Coombs in a present-day perspective....
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Item nonresponse on income questions in panel surveys: Incidence, imputation and the impact on inequality and mobility
This paper deals with item nonresponse on income questions in panel surveys and with longitudinal and cross–sectional imputation strategies to cope...
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Design and Planning of Epidemiological Studies
This chapter deals with practical issues in designing and planning analytical epidemiological studies. Although most of the practical issues are...
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Methodological Aspects
The aim of this chapter is to provide the reader with an overview of some standard techniques that are commonly used in statistical consulting. In...
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School Choice in NY City: A Bayesian Analysis of an Imperfect Randomized Experiment
The precarious state of the educational system existing in the inner-cities of the U.S., including its potential causes and solutions, has been a...
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Disclosure Risks for Microdata
In this chapter we consider the potential disclosure risk arising from the release of microdata. We suppose that the data consist of a standard...
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On the Interplay Between Nonparametric and Parametric IRT, with Some Thoughts About the Future
This chapter reviews some of the important research in nonparametric and parametric item response theory (IRT) today, and considers some current...
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