Chris Skinner
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View article: Nonresponse Adjustment using Auxiliary Variables Subject themselves to Missing Data
Nonresponse Adjustment using Auxiliary Variables Subject themselves to Missing Data Open
Nonresponse is a significant matter that cannot be denied in a sample survey. Declining response rates lead to increasing nonresponse bias which affects the estimated bias. Nonresponse adjustment can be used to deal with unit nonresponse b…
View article: Pairwise likelihood estimation and limited‐information goodness‐of‐fit test statistics for binary factor analysis models under complex survey sampling
Pairwise likelihood estimation and limited‐information goodness‐of‐fit test statistics for binary factor analysis models under complex survey sampling Open
This paper discusses estimation and limited‐information goodness‐of‐fit test statistics in factor models for binary data using pairwise likelihood estimation and sampling weights. The paper extends the applicability of pairwise likelihood …
View article: Exploring social networks in foster caring: The mockingbird family in Australia
Exploring social networks in foster caring: The mockingbird family in Australia Open
In their care of children and young people, foster carers report experiencing social isolation and a lack of support. This study examines the social network experiences of Australian foster carers who are members of Mockingbird Family. Whi…
View article: IS QUIET THE NEW LOUD? TOWARDS THE DEVELOPMENT OF A NEW METHODOLOGY FOR ESTIMATING THE ECONOMIC VALUE OF QUIET AREAS
IS QUIET THE NEW LOUD? TOWARDS THE DEVELOPMENT OF A NEW METHODOLOGY FOR ESTIMATING THE ECONOMIC VALUE OF QUIET AREAS Open
View article: Pairwise likelihood estimation and limited information goodness-of-fit test statistics for binary factor analysis models under complex survey sampling
Pairwise likelihood estimation and limited information goodness-of-fit test statistics for binary factor analysis models under complex survey sampling Open
This paper discusses estimation and limited information goodness-of-fit test statistics in factor models for binary data using pairwise likelihood estimation and sampling weights. The paper extends the applicability of pairwise likelihood …
View article: Piloting the Mockingbird Family™ in Australia: Experiences of foster carers and agency workers
Piloting the Mockingbird Family™ in Australia: Experiences of foster carers and agency workers Open
Given that the number of children and young people needing care keeps rising and fewer people are becoming foster carers, efforts to support carers and workers in foster caring are essential. This paper considers the experiences of carers …
View article: Measuring Risk of Re-Identification in Microdata: State-of-the Art and New Directions
Measuring Risk of Re-Identification in Microdata: State-of-the Art and New Directions Open
We review the influential research carried out by Chris Skinner in the area of statistical disclosure control, and in particular quantifying the risk of re-identification in sample microdata from a random survey drawn from a finite populat…
View article: Euler systems for GSp(4)
Euler systems for GSp(4) Open
We construct an Euler system for Galois representations associated to cohomological cuspidal automorphic representations of \operatorname{GSp}_4 , using the pushforwards of Eisenstein classes for \operatorname{GL}_2 \times \operatorname{GL…
View article: Welfare within Families beyond Households: Intergenerational Exchanges of Practical and Financial Support in the UK
Welfare within Families beyond Households: Intergenerational Exchanges of Practical and Financial Support in the UK Open
Families extend well beyond households. In particular, connections between parents and their adult offspring are often close and sustained, and transfers may include financial assistance, practical support, or both, provided by either gene…
View article: Estimation of dyadic characteristics of family networks using sample survey data
Estimation of dyadic characteristics of family networks using sample survey data Open
We consider the use of sample survey data to estimate dyadic characteristics of family networks, with an application to noncoresident parent–child dyads. We suppose that survey respondents report either from a parent or child perspective a…
View article: Analysis of Survey Data
Analysis of Survey Data Open
This book is concerned with statistical methods for the analysis of data collected from a survey. A survey could consist of data collected from a questionnaire or from measurements, such as those taken as part of a quality control process.…
View article: Estimation of dyadic characteristics of family networks using sample survey data
Estimation of dyadic characteristics of family networks using sample survey data Open
We consider the use of sample survey data to estimate dyadic characteristics of family networks, with an application to noncoresident parent–child dyads. We suppose that survey respondents report either from a parent or child perspective a…
View article: Estimation of Response Propensities and Indicators of Representative Response Using Population-Level Information
Estimation of Response Propensities and Indicators of Representative Response Using Population-Level Information Open
In recent years, there has been a strong interest in indirect measures of nonresponse bias in surveys or other forms of data collection. This interest originates from gradually decreasing propensities to respond to surveys parallel to pres…
View article: Within-cluster resampling for multilevel models under informative cluster size
Within-cluster resampling for multilevel models under informative cluster size Open
Summary A within-cluster resampling method is proposed for fitting a multilevel model in the presence of informative cluster size. Our method is based on the idea of removing the information in the cluster sizes by drawing bootstrap sample…
View article: Taking a Breath of the Wild: Are gamers or geoscientists better in judging whether game-world landscapes are realistic?
Taking a Breath of the Wild: Are gamers or geoscientists better in judging whether game-world landscapes are realistic? Open
View article: Estimation of response propensities and indicators of representative response using population-level information : Estimation des propensions à répondre et indicateurs de représentativité des réponses utilisant l’information au niveau de la population
Estimation of response propensities and indicators of representative response using population-level information : Estimation des propensions à répondre et indicateurs de représentativité des réponses utilisant l’information au niveau de la population Open
In recent years, there has been a strong interest in indirect measures of nonresponse bias in surveys or other forms of data collection. This interest originates from gradually decreasing propensities to respond to surveys parallel to pres…
View article: Analysis of Categorical Data for Complex Surveys
Analysis of Categorical Data for Complex Surveys Open
Summary This paper reviews methods for handling complex sampling schemes when analysing categorical survey data. It is generally assumed that the complex sampling scheme does not affect the specification of the parameters of interest, only…
View article: Analysis of categorical data for complex surveys
Analysis of categorical data for complex surveys Open
This paper reviews methods for handling complex sampling schemes when analysing categorical survey data. It is generally assumed that the complex sampling scheme does not affect the specification of the parameters of interest, only the met…
View article: Comments on the Rao and Fuller (2017) paper
Comments on the Rao and Fuller (2017) paper Open
This note by Chris Skinner presents a discussion of the paper “Sample survey theory and methods: Past, present, and future directions” where J.N.K. Rao and Wayne A. Fuller share their views regarding the developments in sample survey theor…
View article: Global Sensitivity Analysis of Parameter Uncertainty in Landscape Evolution Models
Global Sensitivity Analysis of Parameter Uncertainty in Landscape Evolution Models Open
Landscape Evolution Models have a long history of use as exploratory models, providing greater understanding of the role large scale processes have on the long-term development of the Earth’s surface. As computational power has advanced so…
View article: Estimation of a cluster-level regression model under nonresponse within clusters
Estimation of a cluster-level regression model under nonresponse within clusters Open
When sample surveys are clustered and subject to non-response, it is possible to study cluster-level association between response rates and cluster-level quantities derived from survey variables. The existence of association may suggest in…
View article: The Effect of Probing “Don’t Know” Responses on Measurement Quality and Nonresponse in Surveys
The Effect of Probing “Don’t Know” Responses on Measurement Quality and Nonresponse in Surveys Open
In survey interviews, “Don’t know” (DK) responses are commonly treated as missing data. One way to reduce the rate of such responses is to probe initial DK answers with a follow-up question designed to encourage respondents to give substan…
View article: Imputation Under Informative Sampling
Imputation Under Informative Sampling Open
Imputed values in surveys are often generated under the assumption that the sampling mechanism is non-informative (or ignorable) and the study variable is missing at random (MAR). When the sampling design is informative, the assumption of …
View article: Using Binary Paradata to Correct for Measurement Error in Survey Data Analysis
Using Binary Paradata to Correct for Measurement Error in Survey Data Analysis Open
Paradata refers here to data at unit level on an observed auxiliary variable, not usually of direct scientific interest, which may be informative about the quality of the survey data for the unit. There is increasing interest among survey …
View article: Population sampling in longitudinal suverys
Population sampling in longitudinal suverys Open
The paper questions the need for observational studies to achieve representativeness for real populations, in particular for longitudinal studies. It draws upon recent debates and argues for the need to distinguish scientific inference fro…
View article: Cross-classified sampling: Some estimation theory
Cross-classified sampling: Some estimation theory Open
View article: Cross-classified sampling: some estimation theory
Cross-classified sampling: some estimation theory Open
For a population represented as a two-way array, we consider sampling via the product of independent row and column samples. Theory is presented for the estimation of a population total under alternative methods of sampling the rows and co…
View article: Using Binary Paradata to Correct for Measurement Error in Survey Data Analysis
Using Binary Paradata to Correct for Measurement Error in Survey Data Analysis Open
Paradata refers here to data at unit level on an observed auxiliary variable, not usually of direct scientific interest, which may be informative about the quality of the survey data for the unit. There is increasing interest among survey …