Census Bureau

Course Descriptions

colorline

Improving Data Quality

This three week workshop is intended for organizations that are planning for censuses or surveys and the persons responsible for their design and implementation. This course will look at how to simplify and improve census/survey processes, procedures and products with the goal of reducing and preventing non-sampling errors. Participants will explore the entire survey process, identify potential sources of error, and learn practical and useful techniques for measuring and minimizing survey error throughout the survey process, before the final product is produced. The traditional topics of quality assurance and quality control will be covered, as well as some of the current quality management philosophies. This program provides a unique opportunity to learn to utilize effective methods to produce quality data in a timely and efficient manner. You will have access to various US Census Bureau experts, who will discuss current theories and best practices in their fields in Washington, DC. You will also see how these quality measures are implemented at the National Processing Center, the primary data collection facility for the U.S. Census Bureau in Jeffersonville, Indiana.

Population Estimates and Projections Including AIDS Mortality

This three week workshop will train the participant to prepare population projections at the national level for a country that is affected by a generalized HIV/AIDS epidemic. Participants will learn through a combination of lecture and hands-on training with various software developed by The Futures Group International, UNAIDS, and the U.S. Census Bureau. Participants should be experienced demographers. The U.S. Census Bureau's International Programs Center (IPC) has included the impact of AIDS mortality in country level projections since 1994. In IPC's 2002 round, national level population projections including AIDS mortality were prepared for 51 countries from Latin America and the Caribbean, Southeast Asia, and Sub-Saharan Africa.

Measuring Techniques and Methods Regarding Poverty

The workshop on Methods for Measuring Poverty is a three-tier course. The first phase emphasizes training of participants in the areas of data collection and data quality problems and challenges involved in collecting data that accurately portrays the extent and prevalence of poverty in the country. This will include calculating aggregates using the Living Standards Measures Survey (LSMS) data, household income and expenditure surveys methods of editing consumption and income data using several editing techniques. The second phase is concerned with training participants in the use of various statistical methods and models to formulate poverty indices and indicators. These models will assist participants in assessing the degree of poverty in the population as well as being able to forecast different poverty alleviation outcomes under various public policy intervention scenarios. The final phase will examine various successful poverty alleviation programs and projects in the developed and the developing countries and illustrate the reasons for their success. This workshop is designed for an audience of all levels of public service officials ranging from the technical personnel who will work on surveys, methodologies, data quality problems, etc. to public officials entrusted with formulating poverty reduction programs and projects.

Geographic Information System (GIS)

This is a six-week workshop in the design and implementation of a geographic information system with development of a geo-coding scheme, ArcView GIS software training, automated map production, use of GIS to support data collection and tabulation, delineation of geographic areas for census and survey application, designing of digital cartographic database, and hardware and software configuration of all elements of GIS. The workshop is intended for technical computer professionals who are responsible for the establishment of a GIS. Participants will receive a copy of the ArcView software.

Sampling and Statistical Methods

This is a three-week workshop which includes all aspects of statistical methods related to sampling and survey work such as point and interval estimation, study of the normal distribution and Central Limit Theorem, Simple Random Sampling, Stratification and Systematic Sampling, Cluster Sampling, ratio estimation and sample size determination. Participants will be introduced to CENVAR ( the variance estimation module of IMPS) to calculate variances for surveys.

Disseminating Official Statistics in the New Millenium

This vital three-week workshop provides the tools to build an up-to-date integrated data dissemination program. Participants in the workshop will design an Internet Web Page, examine the principles of CD-ROM production, and learn how to organize, staff, and manage an effective dissemination program. Many other aspects of a modern data dissemination program are covered including a cross-tabulation and table retrieval system (TRS), web site security, and e-commerce.

Census and Survey Processing (CSPro)

This four week workshop will stress the major activities in census or survey processing as well as techniques that will improve the quality of the results. The course will focus on processing an actual census using CSPro, U.S. Census Bureau software for processing censuses and surveys. The software has user-friendly modules for most processing tasks from data capture to data dissemination plus components to ease the tasks of data management. This workshop will introduce the Data Dictionary, Data Entry, Batch Editing, Cross Tabulation, Frequency Distributions, and Map Viewer modules of the software. In addition, useful tools for Sorting, Reformatting, Exporting, Comparing, and Concatenating Data files will be presented. Participants are encouraged to bring census/survey materials that can be used to develop examples of CSPro processing.

Statistical Methods for Measuring Economic Development and Growth

This is a three-week workshop that focuses on the methods and techniques used to compute and interpret major economic indicators which measure the economic growth and development of an economy such as unemployment, underemployment, inflation, price change, productivity, competitiveness, seasonal adjustments to economic data series, analysis of forward, lagging and coincident indicators as well as the construction of economic models for the forecasting of the economy such as input-output models, shift-share analysis, regression and step-down method of projections.

Analysis and Evaluation of Gender Statistics

This is a two-week workshop in the analysis and evaluation of data reported on gender which includes gender issues, indicators used to evaluate gender information, presentation, text integration and creation of tables and graphs for gender statistics. The goals of the workshop are to increase the participant's awareness of the importance of gender issues, and to improve the student's ability to evaluate the quality and relevance of sex-disaggregated data.

Statistical Agencies: Management Under Pressure, Data Products, and Special Topics

Statistical agencies provide services and data under tremendous pressure, which comes from donors and users and is caused by the data produced or the need to perform increasing duties with decreasing resources. This two weeks course will provide an overview of the current pressures facing statistical agencies and discussions of ways to continue producing quality, timely and accurate data in these environments. This course will cover the guiding principles upon which statistical agencies are based, the different ways that agencies are structured and organized and their relative advantages and disadvantages, the increasing need to market statistical services and goods and how to lobby the public and private sectors for realistic demands and adequate funding, the role of statistical agencies when releasing sensitive, potentially controversial data and associated information such as: disclosure policies, metadata, confidentiality requirements, methodology and quality statements, sample data sets, and the harmonization of data (historically and internationally).


Last Revised: 16 Oct 2008 09:28:52 EDT

IPC: < World Pop | IDB | HIV/AIDS | Publications | Library | CSPro | IMPS | PAS | RUP | Tech Assistance/Training | Workshops >