The last several years have seen a growth in the number of publications economics that use principal component analysis (PCA) area welfare studies. This paper explores ways discrete data can be incorporated into PCA. effects discreteness observed variables on PCA are reviewed. statistical properties popular Filmer and Pritchett (2001 ) procedure analyzed. concepts polychoric polyserial correlations introduced with appropriate references to existing literature demonstrating their properties....

Heywood cases, or negative variance estimates, are a common occurrence in factor analysis and latent variable structural equation models. Though they have several potential causes, misspecification is among the most important. This article explains how can lead to case population, provides ways test whether error symptom of misspecification. The authors consider z-tests based on variety standard errors, confidence intervals, bootstrap resampling, likelihood-ratio-type tests. In their...

In this article, I discuss the main approaches to resampling variance estimation in complex survey data: balanced repeated replication, jackknife, and bootstrap. Balanced replication jackknife are implemented Stata svy suite. The bootstrap for data is by bsweights command. describe command provide working examples.

In this article, I introduce the ipfraking package, which implements weight-calibration procedures known as iterative proportional fitting, or raking, of complex survey weights. The package can handle a large number control variables and trim weights in various ways. It also provides diagnostic tools for it creates. provide examples its use suggested workflow creating raked replicate

Abstract The paper applies a new decomposition technique to the study of variations in poverty across regions Russia. procedure, which is based on Shapley value cooperative game theory, allows deviation regional levels from all‐Russia average be attributed three proximate sources: per capita income, inequality, and local prices. Contrary expectation, turn out due more differences inequality than real income capita. However, when split into nominal price components, incomes emerge as...

Recently, R. D. Stoel, F. G. Garre, C. Dolan, and van den Wittenboer (2006) reviewed approaches for obtaining reference mixture distributions difference tests when a parameter is on the boundary. The authors of present study argue that this methodology incomplete without discussion mixtures are needed show they only become relevant constrained conducted. Because can hide important model misspecification, reliable way to assess global fit under estimation would be needed. Examination options...

This article describes the confa command, which fits confirmatory factor analysis models by maximum likelihood and provides diagnostics for fitted models. Descriptions of command its options are given, some illustrative examples provided.

Background and objectives Living donor kidney transplantation, the treatment of choice for ESRD, is underused by women blacks. To better understand sex differences in context potential barriers to living Dialysis Patient Transplant Questionnaire was administered two urban, predominantly black hemodialysis units. Design, setting, participants, & measurements The designed study transplantation from previously validated questions. Between July 2008 January 2009, 116 patients on hemodialysis,...

We propose a method of analyzing spatiotemporal data by decomposition into deterministic nonparametric functions time and space, linear other covariates, random component that is spatially, though not temporally, correlated. The resulting model used for spatial interpolation especially estimation spatially dependent temporal average. results are applied to part the PM 2.5 network established U.S. Environmental Protection Agency, covering three southeastern states. A novel feature analysis...

We deal with the problem of quantifying degree to which parameter estimates in a structural equation model can be biased when relationships were not specified correctly by researcher. propose framework relate moment residuals biases and overall noncentrality model. For each model, an impact either particular residual or evaluated, although latter tends give error bounds that are rather conservative. provide illustrative analytical empirical examples demonstrate steps application proposed...

Journal Article Evaluating Three Approaches to Statistically Adjust for Mode Effects Get access Stanislav Kolenikov, Kolenikov * *Address correspondence 55 Wheeler Street, Cambridge, MA 02138, USA; E-mail: kolenikovs@srbi.com. Search other works by this author on: Oxford Academic Google Scholar Courtney Kennedy of Survey Statistics and Methodology, Volume 2, Issue June 2014, Pages 126–158, https://doi.org/10.1093/jssam/smu004 Published: 01 2014

This paper considers the conceptual similarities and differences in weight adjustment steps known as nonresponse adjustment, post-stratification, calibration. The distinction is based on information requirements, i.e., whether data necessary for specific type of exist at population level, level original sample that includes both respondents nonrespondents, and/or respondent level. An illustrative example provided where different weights are constructed.

Whether or not mothers, who often struggle with balancing work and parenting responsibilities, perceive that they face career harm in exchange for control over flexible options at their jobs is an unanswered question. Using 2009 original data from a random-digit-dial telephone survey of 441 mothers located across the United States, this study focuses on how two latent variables measuring flexibility, arrangements (such as scheduling place work) time-off options, influences mothers'...

Survey response rates for modern surveys using many different modes are trending downward leaving the potential nonresponse biases in estimates derived from only respondents. The reasons may be complex functions of known auxiliary variables or unknown latent not measured by practitioners. degree to which propensity respond is associated with survey outcomes casts light on overall means and totals. most common method adjustments compensate bias has been logistic probit regression models....

To determine whether groups of surrogates for patients with severe acute brain injury (SABI) poor prognosis can be identified based on their prioritization goals-of-care (GOC) decisional concerns, an online survey 1,588 adults recruited via a probability-based panel representative the US population was conducted.

Held in October 2018, The Big Data Meets Survey Science conference, also known as BigSurv18, provided a first-of-its-kind opportunity for survey researchers, statisticians, computer scientists, and data scientists to convene under the same roof. At this from multiple disciplines were able exchange ideas about their work might influence enhance of others. This was landmark event, especially researchers whose industry has been buffeted late by falling response rates rising costs at time...