SADC Course in Statistics Introduction to the module and the session Module I1, Session 1.

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Presentation transcript:

SADC Course in Statistics Introduction to the module and the session Module I1, Session 1

To put your footer here go to View > Header and Footer 2 The four Intermediate-level modules This module is about data collection it builds on module B1 Module I2 to I4 assume you have the data they build on Module B2 I2 is on preparing the data for analysis I3 is on the analysis I4 is on reporting the results

To put your footer here go to View > Header and Footer 3 Learning Objectives for module I1 Successful students will be able to: Explain different types of data collection used by National Statistical Systems. Choose a suitable data collection approach depending on the objectives of the study Judge the advantages and shortcomings of distinct approaches to data collection.

To put your footer here go to View > Header and Footer 4 Learning Objectives continued Successful students will also be able to: Design a simple questionnaire. Judge whether a questionnaire is a suitable tool, depending on the objectives of the study and the type of information required. Develop awareness of alternative tools for data collection, their potential and pitfalls.

To put your footer here go to View > Header and Footer 5 Module contents Examples of data collection are shown for a household survey and a crop-cutting survey Simulation games introduce concepts of stratification and multi-stage surveys Different methods of sampling are outlined Questionnaires are designed Alternatives are considered when questionnaires are not sufficient

To put your footer here go to View > Header and Footer 6 This session Examines examples of data collection At international National And at local level It proposes that more could be done at local level?

To put your footer here go to View > Header and Footer 7 Objectives Students should be able to: Explain the idea of “local data for local use” Appreciate how information at different levels is complementary Understand that most studies at National and International level need to be underpinned by good data collected at local levels.

To put your footer here go to View > Header and Footer 8 International level Examples used are Survey of principles of official statistics The MDG site Very useful To provide comparative statistics To provide results in a consistent manner To set standards To promote good practices International needs Sometimes drives the National agenda But is usually complementary As long as the NSS is sufficiently strong to ensure both international and national needs are met

To put your footer here go to View > Header and Footer 9 National and district level National studies provide the extra detail within the country to underpin the results that are used internationally The Tanzania agriculture survey Is a national survey With a sufficient sample size To give information to district level It is one of the largest such surveys And will have a report for each district It involved: Nearly 2000 enumerators 53,000 households It is a large study!

To put your footer here go to View > Header and Footer 10 Local level – discussed in the practical work Investigate what is practical locally It may be different in each country There are two aspects 1.Enumerators 1.Could they do more than they are asked to do at present? 2.Might this improve motivation 3.Could it therefore improve data quality 2.Respondents 1.What more could be done for them/with them? 2.So they recognise the importance of their role 3.And gladly provide data, of high quality, on request

To put your footer here go to View > Header and Footer 11 Enumerators Would broader training be useful? They are the ambassadors so they should all know the importance of statistical information for national development They often collect data Send it centrally for processing Could they (or supervisors) enter data locally? It may also be entered centrally as well That would provide double-entry And might improve quality

To put your footer here go to View > Header and Footer 12 Enumerators continued Initial data entry locally Could aid local checking At a time when errors could still be checked with respondents Entry of data as close in time and space to where it is collected, can be useful to improve data checking and hence quality What else could enumerators And other local staff do so their work is of as high quality as possible?

To put your footer here go to View > Header and Footer 13 Respondents Is there sufficient collection of “Local data for local use” So respondents see the value of providing information And they also gain from local use of data collected close by

To put your footer here go to View > Header and Footer 14 Activity 2 View the Peter Cooper presentation –First shown in Module B1 –On the use of climatic information –So farmers are informed about climate risks Here it is one example of information That can be provided locally Other information includes prices, education, health food security access to water – how do different communities compare and so on

To put your footer here go to View > Header and Footer 15 Activity 3: Practical work Divide into discussion groups To consider international and local issues Then bring key points To an overall discussion

To put your footer here go to View > Header and Footer 16 Activity 4: Discussion Record the key points Can they make recommendations That could be presented to the NSO or elsewhere Remember this course is designed for you To learn new topics But also to help change working practices And perhaps also to affect, the way statistical organisations work

To put your footer here go to View > Header and Footer 17 Objectives Can you now Explain the idea of “local data for local use” Appreciate how information at different levels is complementary Understand that most studies at National and International level need to be underpinned by good data collected at local levels.

To put your footer here go to View > Header and Footer 18