In a second simulation study we evaluate the performance of the chisquare test statistic for complex survey data using a simple bivariate mean, variance and covariance model. The svyset command tells stata everything it needs to know about the data sets sampling weights, clustering, and stratification. Statistical methodologies for analyzing a complex sample survey by james m. Comparison of estimation methods for complex survey data analysis. This can, for example, be net promoter score surveys that you send a few times a year to your customers. Introduction this paper is a followup to lewis 20, mwsug 20 paper number aa09 entitled analyzing continuous variables from complex survey data using proc surveymeans. Data on its own means nothing without proper analysis. Once the design is declared svyset, it will be automatically taken into account every time we use the svy prefix. Complex survey data analysis with sas is an invaluable resource for applied researchers analyzing data generated from a sample design involving any combination of stratification, clustering, unequal weights, or finite population correction factors. Over 70 people attended the workshop, entitled analyzing complex survey data with missing item values. In complex sample survey designs, different subgroups of the sample frame members have different probabilities of being selected into the sample use methods of variance estimation that take the. Analyzing continuous variables from complex survey data. We give a brief overview of common sampling designs used in a survey setting, and introduce the principal inferential paradigms under which data from complex.
Introduction this paper is a followup to lewis 20, mwsug 20 paper number aa09 entitled analyzing continuous variables from complex survey data using. This text is out of print but it may be possible to locate a copy on or through other book reselling services. Earyl prototypes of sudaan research triangle institute were used for this purpose. Detailed tracking of the data collection and analysis process is another method to enhance the validity of the work. It is recommended that paper be read prior to or in combination with this one. Once the design is declared svyset, it will be automatically taken into account every time we use the svy pre. Sample design and survey data sage research methods. Your usage of complex samples procedures depends on your particular needs. The first national health and nutrition examination survey this report presents an approach to analyzing data from a survey with a complex sample design. The differences between data collected via a complex sampling design and data collected via other. Highlights of survey software below is a list of the procedures designed to analyze data derived from. Pdf analysis of complex survey samples researchgate. Analysis of complex survey data digitalsyllabus010319. Multivariate statistical modeling with survey data.
A statistical methodology for analyzing data from a complex. The ultimate goal of this course is to prepare students to apply appropriate methods and software in the analysis of survey data and to effectively communicate the results of. Because the data are collected from samples that may have structural heterogeneity. This new edition incorporates recent practice of analyzing complex survey data. Sample design and survey data types of sampling the nature of survey data 3. References for structural equation modeling of data from complex sampling designs asparouhov, t. The weight developing the weight by poststratification adjusting the weight in a followup survey assessing the loss or gain in precision. In this article, we aim to focus in more detail on the practical issues underlying subpopulation analysis of complexsample survey data. Pdf the vast majority of surveys analysed by the uk social research community employ complex sample designs and weighting adjustments, yet are often.
June 1 june 30, 2019 instructors natalie s levy, mph, phd. Complex survey data analysis with sas journal of statistical. Three stages in the survey research process sample selection and survey administration survey development data analysis and reporting source. The y x1 x2 x3 command specifies that y is a continuous dependent variable, while x1, x2, and x3 are independent variables. The emphasis is on the demonstration of the effects of incorporating the weights and the data structure on the analysis. Analysis of complex survey data course duration this is an online, distance learning course and material will be available from. Stata approach to survey data in stata, we separate the stage of the declaration of the design from the estimation stage. Complex sample designs of the type employed in the kfs typically have multiframe sampling, stratification, nonresponse adjustment, and oversampling components. Shu yang, harvard school of public health, speaking at the meeting.
Ellen parsons, national center for health statistics formerly of the university of michigan, and sharon a. Data from phase ii of nhanes iii refer to note 4 will be. Each year, nass provides survey weights that account for these design features as well as for additional information available at the population level and various nonresponse adjustments see chapter 6. Buy analyzing complex survey data quantitative applications in the social sciences on free shipping on qualified orders analyzing complex survey data quantitative applications in the. In order to correctly estimate variance when analyzing survey data with a complex design, two main statistical approaches are available. For useful references on analyzing and reporting survey data, see appendix a. Analyzing data collected with complex survey design.
Sudaan sudaan version 10 and higher is designed to analyze data from complex surveys and experimental studies. Twolevel regression for analyzing twolevel models with complex survey data mplus 4. Some key issues to be aware of page 5 other cases it may be that svy support would be inappropriate e. Software for analysis of yrbs data centers for disease. There are two approaches to the analysis of complex survey data in mplus. Sample weights can play havoc in the preliminary analysis of complex survey data, but exploring the data ignoring the weights is not a satisfactory solution. Introduction i surveys are aimed to collect information to study characteristics on a. Introduction to the design and analysis of complex survey data core.
This chapter presents various illustrations of survey data analysis. The first national health and nutrition examination survey this report presents an approach to analyzing data from a survey with a. In a second simulation study we evaluate the performance of the chisquare test statistic for complex survey data using a simple bivariate mean. This paper explores features available in proc surveymeans to analyze continuous variables in a complex survey data set, where complex denotes a data set characterized by one or more of the following features. In complex sample survey designs, different subgroups of the sample frame members have different probabilities of being selected into the sample use methods of variance estimation that take the complex survey sampling design into account there are two common types of methods for computing ses for estimates from complex survey data. Buy analyzing complex survey data quantitative applications in the social sciences on free shipping on qualified orders analyzing complex survey data quantitative applications in the social sciences. Survey analysis refers to the process of analyzing your results from customer and other surveys. Survey data analysis adjusting for differential representation. Jul 19, 2017 the kauffman firm survey kfs was a panel study of new businesses that employed a complex sample design to collect key data about the dynamics of hightechnology, mediumtechnology, and femaleowned business entities. A closer examination of subpopulation analysis of complex.
As a result of the collaboration between rti and several government agencies, these procedures have evolved into a concise software package capable of analyzing complex sample survey data. Once the design is declared svyset, it will be automatically taken into account every. The data used to illustrate the approach are from the first national health. Analysis of complex sample survey data summer institute. Mulaik linear causal modeling with structural equations stanley a. We begin with a strategy for conducting a preliminary analysis of a largescale, complex survey. Sample design and survey data our consideration of survey data focuses on sample designs that satisfy two basic requirements.
Analyzing complex survey data quantitative applications in. Frequently asked questions faq probability, sampling weight, etc. Complexity of analyzing survey data adjusting for differential representation. One approach is to compute standard errors and a chisquare test of model fit taking. Introduction to the design and analysis of complex survey data. A social and behavioral sciences approach, second edition jeff gill foundations of factor. Conducting survey data analysis sage research methods.
The complex design of arms includes stratification, clustering, dual frames, and unequal probability sampling. Analyzing continuous variables from complex survey data using. Chapter 19 statistical analysis of survey data james r. Oiman kwok conventional statistical methods assuming data sampled under simple random. Th e course begins by considering the sample designs of specific surveys. Each year, nass provides survey weights that account for these design features as well as. Analyzing complex survey data with missing item values. Highlights of survey software below is a list of the procedures designed to analyze data derived from a complex sample survey for each of the four packages sas, spss, stata and sudaan. The differences between data collected via a complex sampling design and data collected via other methods need to be taken into account when analyzing complex survey data. The fact that survey data are obtained from units selected with complex sample designs needs to be taken into account in the survey analysis.
Sample design and survey data types of sampling the nature of survey data a different view of survey data3. Comparing modelbased and designbased structural equation modeling approaches in analyzing complex survey data. Analysis of complex survey data with sas christine r. The primary tool for surveyors is the sampling wizard. Complex survey data are commonly analyzed using either the taylor series. One approach is to compute standard errors and a chisquare test of model fit taking into account stratification, nonindependence of observations due to cluster sampling, andor unequal probability of selection.
To have the experience of writing a scientific paper that presents an analysis of complex sample survey data, and getting expert feedback on that paper prerequisite. Statistical methodologies for analyzing a complex sample. On the other hand, programs for survey data analysis are not well suited for basic data exploration. Accounting for clustering in the analysis of meps data. Department of health and human services, centers for disease control and prevention. This book examines ways to analyze complex surveys, and focuses on the problems of weights and design effects. Some key issues to be aware of page 1 analyzing complex survey data.
This paper explores features available in proc surveymeans to analyze continuous variables in a complex survey data set, where complex denotes a data set characterized by one or more of the. Survey analysis in r this is the homepage for the survey package, which provides facilities in r for analyzing data from complex surveys. Analysis of data from surveys that employ a complex sampling design, such as a schoolbased oral health survey, must account for the sampling design. Analyzing categorical variables from complex survey data. The y x1 x2 x3 command specifies that y is a continuous dependent variable, while x1, x2, and x3. After clearly explaining how the presence of these features can invalidate the assumptions. Sudaan version 10 and higher offers analysis capabilities that include crosstabulation, frequency, ratio, and multiple regression modeling techniques. Using a realworld complex survey data set, this paper. Section 2 of this article presents a heuristic discussion of the conceptual di. First, we are concerned only with probability sampling in which each element. A social and behavioral sciences approach, second edition jeff gill foundations of factor analysis, second edition stanley a. Comparison of estimation methods for complex survey data. Approximately 185 surveys with height, weight and age data included geographic coordinates or precise place names for each cluster within that survey.
1066 1222 511 314 902 136 1434 1258 1183 182 389 552 166 604 1587 1595 202 1137 808 388 1490 1183 1027 1071 756 171 483 345 86 1412 70