Assessing the measurement error properties of interviewer observations of neighbourhood characteristics.
نویسندگان
چکیده
Interviewer observations made during the process of data collection are currently used to inform responsive design decisions, to expand the set of covariates for nonresponse adjustments, to explain participation in surveys, and to assess nonresponse bias. However, little effort has been made to assess the quality of such interviewer observations. Using data from the Los Angeles Family and Neighbourhood Survey (L.A.FANS), this paper examines measurement error properties of interviewer observations of neighbourhood characteristics. Block level and interviewer covariates are used in multilevel models to explain interviewer variation in the observations of neighbourhood features.
منابع مشابه
Detection of Outliers and Influential Observations in Linear Ridge Measurement Error Models with Stochastic Linear Restrictions
The aim of this paper is to propose some diagnostic methods in linear ridge measurement error models with stochastic linear restrictions using the corrected likelihood. Based on the bias-corrected estimation of model parameters, diagnostic measures are developed to identify outlying and influential observations. In addition, we derive the corrected score test statistic for outliers detection ba...
متن کاملNSFG Survey Methodology Working Papers A Practical Technique for Improving the Accuracy of Interviewer Observations: Evidence from the National Survey of Family Growth
Ideal auxiliary variables for use in post-survey nonresponse adjustments are associated with both survey variables of interest and response propensity. Auxiliary variables having these properties will generally reduce the bias and variance in survey estimates. Unfortunately, auxiliary variables available for both respondents and nonrespondents to a survey request seldom have strong associations...
متن کاملInfluence Measures in Ridge Linear Measurement Error Models
Usually the existence of influential observations is complicated by the presence of collinearity in linear measurement error models. However no method of influence measure available for the possible effect's that collinearity can have on the influence of an observation in such models. In this paper, a new type of ridge estimator based corrected likelihood function (REC) for linear measurement e...
متن کاملReducing Measurement Error in Nutrition Assessment: Potential Research Implications for Iran
Self-reported measures of dietary intake are prone to measurement error that may obscure the relationship of diet and disease. This review addresses strategies to decrease errors during collection of dietary data and statistical approaches to deal with measurement issues once the data are collected. Examples from two US studies-- the Women’s Health Initiative (WHI) Dietary Modificat...
متن کاملAn examination of the quality and utility of interviewer observations in the National Survey of Family Growth
Survey agencies have started to use interviewer observations collected on all sample units to adjust survey estimates for non-response. Ideally, these observations should be related to both response indicators and key survey variables. However, these observations are typically judgements that are made by the interviewers, making them potentially prone to measurement error. Presenting analyses o...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Journal of the Royal Statistical Society. Series A,
دوره 176 1 شماره
صفحات -
تاریخ انتشار 2013