1. Principles of Analysis and Dissemination Country Course on Analysis and Dissemination of Population and Housing Census Data with Gender Concern 24-28 October 2011, Jakarta, Indonesia

2. Why should a statistical organization do analysis?  To educate officials, policymakers, and others as to what the data show. A. The availability of statistical information does not automatically lead to good decision making. B. In order for others to be able to use statistics to make well informed decisions, a statistical organization needs to make data accessible and understandable. C. A certain level of statistical analysis and explanation is required in order for users to understand and interpret data correctly. Courtesy: World bank Statistics Institute

3. Why do analysis? Educate officials, policymakers, and others: Describe a situation Classify the component parts of a situation Help assess why something happened Forecast/project what may happen in the future Source: www.cartoonstock.com 3 Courtesy: World bank Statistics Institute

4. Fundamental Principles of Official Statistics- Principle 4 Statistical agencies are entitled to comment on erroneous interpretation and misuse of statistics. Statistical agency will be in a position to know if others are misunderstanding or misrepresenting the data if they have done analysis of their own. 4 Courtesy: World bank Statistics Institute

5. Objective Analysis Impartiality evident by values in action Unbiased in subject matter and presentation – Is the glass half full or half empty? It is a.5 liter glass with 250 ml of liquid Scientific and transparent methods Equal access to data for all users 5 Courtesy: World bank Statistics Institute

6. The levels of analysis In order of increasing complexity, can be defined as follows: -descriptive analysis, -causal analysis, and -projection and forecasting. 6 Courtesy: World bank Statistics Institute

7. Descriptive analysis Tells what happened Simplest kind presents the information that has been extracted from the data. Information may be presented in the form of tables, charts and maps. Describe what the data show. Very effective with GIS.. A higher level of descriptive analysis is achieved through summarization. An effective summarization of the data can facilitate the drawing of conclusions. 7 Courtesy: World bank Statistics Institute

8. Causal analysis Not only tells what happened, but also attempts to explain why it happened. This is a more complex level of analysis and it is more difficult to attribute causation. Providing a good answer to a causal question depends upon advanced statistical methods. 8 Courtesy: World bank Statistics Institute

9. Projection and forecasting Is the most complex level of analysis. Attempts to project or forecast what might be expected to happen in the future. It is based on all the other levels of analysis, since all information, all possible variables, must be taken into account. Projection and forecasting draw heavily on techniques such as regression analysis. 9 Courtesy: World bank Statistics Institute

10. Reasons for Dissemination Responsibility to inform policymakers and the general public about the population, economy, and labor market Demonstrate the relevance of data to government and the public Enhance support for programs Improve respondent relations Greater visibility for data products On their own, statistics are just numbers. When writing about numbers, whether in statistical reports, news releases, or articles, it is key that the statistical organization communicates a statistical story that makes the numbers meaningful. 10 Courtesy: World bank Statistics Institute

11. Dissemination Technologies GIS Internet Dissemination Data bases

12. Dissemination Media Paper publications Digital media Online dissemination

13. Products and Services Provisional results Tabulations Thematic statistical or analytical reports Procedural, evaluation and other reports Census mapping Interactive digital outputs General interest products and special audience reports Services – customized products, "on request" services

14. Tabulations Basic/essential tabulations Recommended tabulations Additional tabulations (UN Principles and Recommendations for Population and Housing Censuses, Revision 2)

15. What is Unique about Census Products? Estimates for small areas and small population groups > effective decision making (identified target population) Infrastructure statistics > effective sampling for surveys (identified strata), without crossing lines vis a vis response burden and budget But usually infrequent (once a decade) Census Dissemination Strategy has to address first those needs answered only by census data

16. Dissemination Useful tips when writing about data: Describe the context Present the complete picture to avoid misrepresenting the data Convey the main findings clearly and concisely Include definitions to support understanding Minimize the use of jargon Include information on data quality 16 Courtesy: World bank Statistics Institute