Software to Compute Sampling Weights for Multilevel Analysis

نویسندگان

  • Dan Blanchette
  • C. M. Suchindran
چکیده

Research in estimating multilevel models (MLM) from complex survey data is quite recent. Not only has this research resulted in several popular software packages incorporating sampling weights into estimating MLM, but it has emphasized an important point often overlooked by both analysts and providers of the survey data: the sampling weights used for multilevel analysis need to be constructed differently than the sampling weights used for single-level analysis. Both the distributors of data and the developers of MLM software packages often leave the user responsible for proper scaling of MLM sampling weights. In addition, the method of scaling can be different for the various MLM software packages. To address this problem, we created Stata and SAS programs for constructing sampling weights for estimating two-level models that can be used with several popular multilevel software packages (i.e. gllamm (Stata), LISREL, MLwiN, Mplus). These programs can be downloaded from our website: http://www.cpc.unc.edu/research/tools/data_analysis/ml_sampling_weights

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Multilevel modelling of complex survey data

Multilevel modelling is sometimes used for data from complex surveys involving multistage sampling, unequal sampling probabilities and stratification.We consider generalized linear mixed models and particularly the case of dichotomous responses. A pseudolikelihood approach for accommodating inverse probability weights in multilevel models with an arbitrary number of levels is implemented by usi...

متن کامل

Using Sample Weights in Item Response Data Analysis Under Complex Sample Designs

Large-scale assessments are often conducted using complex sampling designs that include the stratification of a target population and multi-stage cluster sampling. To address the nested structure of item response data under complex sample designs, a number of previous studies proposed the multilevel/multidimensional item response models. However, incorporating sample weights into the item respo...

متن کامل

Implementing Resampling Methods for Design-based Variance Estimation in Multilevel Models: Using HLM6 and SAS together

Multilevel models (MLMs) are often used to analyse clustered survey data. Several commercial software packages developed for fitting such models to survey data have implemented a model-based sandwich estimator to estimate the design-based variance (DBV) of the model parameters. However, there is empirical evidence that this estimator underestimates the DBV due to ignoring the stochastic adjustm...

متن کامل

Wesvarpc: Software for Computing Variance Estimates from Complex Designs

This paper discusses a Windows-based software program, WesVarPC, for computing sampling errors for statistics collected from complex survey designs. The program uses replication methods (either Balanced Repeated Replication or Jackknife) to compute estimated sampling errors. WesVarPC produces estimated sampling errors for a wide variety of statistics, including totals, percents, ratios, and mor...

متن کامل

ذخیره 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 نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2011