2018 Sierra Leone Integrated Household Survey SLIHS Abu
2018 Sierra Leone Integrated Household Survey (SLIHS) Abu Bakarr Turay, SLIHS National Coordinator SLIHS Midterm Review Meetings in Kenema (Sept 10 -11); Bo (Sept 12 -13) and Makeni (Sept 14 -15) September 10 -15, 2018 Becoming a WINNER National Statistics Office in Africa
2018 Sierra Leone Integrated Household Survey (SLIHS) 2018 SLIHS SECOND DATA QUALITY REVIEW MEETINGS FOR ALL FIELD TEAMS Becoming a WINNER National Statistics Office in Africa Kenema (Sept 10 -11), Bo (Sept 12 -13) and Makeni (Sept 14 -15)
OUTLINE OF PRESENTATION 1. 2. 3. 4. Assumptions Rules for the Meeting Objectives of the Meetings General Update § SLIHS Background § Activity § Deployment § Publicity § Monitoring § payment and HR Issues § Sample Achieved 5. Reminders • Survey Period and Books § Sources of Errors § Use of dates and period § Female 15 -49 birth history § Education and Age 6. Evidence from the Data • MICS 6 Matching • Under fives • Health in the last 4 wk § Being Pregnant § Economic Activities (ISIC) § Livestock § Food Item Report Becoming a WINNER National Statistics Office in Africa
Assumption • We make certain assumptions about the field staff: • They did acquire enough knowledge for them to have passed the selection exams on Friday 8 th December 2017 during the field staff • They are available - field staff have given up all other things to be part of the survey - SLIHS is their only priority job • They are willing and ready to learn - take corrections from the coordinators, supervisors and from each other • They are willing to sacrifice for their country - money is secondary and not the primary motivation and ready to work anywhere they are posted • They have values and are very disciplined Becoming a WINNER National Statistics Office in Africa
RULES 1. Participants MUST attend ALL the training sessions 2. Be on time, 9 am to 5: 30 pm (1 tea break and 1 lunch break) 3. Phones MUST always be on silent mode or off totally 4. Manuals/presentations are our key documents for this review 5. The sessions are participatory, ALL questions are welcome 6. All should be respectful and allow each other to make their points Becoming a WINNER National Statistics Office in Africa
OBJECTIVES OF SLIHS MIDTERM REVIEW MEETINGS 1/2 q. To review and better understand the instrument/questionnaire in terms of: Content-formulation of questions and instructions Structure-skips based on age, sex and other responses q. Understand the manual and code sheet and find the best possible ways of completing the questionnaires q. Discuss errors and problems spotted in the data already collected Becoming a WINNER National Statistics Office in Africa
OBJECTIVES OF SLIHS MIDTERM REVIEW MEETINGS 2/2 q Discuss field challenges regarding: § Redeployment arrangements § Respondents cooperation § Local authorities supports § Terrain § Data entry problems § Internet connectivity § Finance and logistics § Other q Avoid the impact of monotony: • Fatigue • Negative dexterity q Rest from your labour: • Take a break • See places • Refresh • Interact with other Teams Becoming a WINNER National Statistics Office in Africa
GENERAL UPDATES Becoming a WINNER National Statistics Office in Africa
Update- 2018 SLIHS BACKGROUND 1/2 The 2018 SLIHS is a nationwide survey conducted under the Statistics Act, 2002 SLIHS is part of the NSDS and Af. P development priorities under Pillar 7 SLIHS is a Multi-topic household surveycovering socio-economic facets The SLIHS was conducted in 2003/04, the last SLIHS was conducted in 2011 The data generated is being used to prepare a new development agenda Becoming a WINNER National Statistics Office in Africa
Update- 2018 SLIHS BACKGROUND 2/2 19 Teams-each comprising 1 Supervisor, 3 Enumerators and 1 Data Entry Clerk are have been deployed to carryout the data collection for 12 -cycle/month § 10 households are selected from each cluster and interviewed every cycle § A diary of daily consumption and expenditure is being used to support the interviews § The diary is completed four (4) times in a five-day interval period (20 days) § All data collected is captured in the field by the data entry clerks § SLIHS is collaborating with MICS, using shared EAs of 506 SLIHS is funded by the Government and the World Bank Becoming a WINNER National Statistics Office in Africa
UPDATE-ACTIVITY § Training Enumerators & Supervisors was on 27 Nov-8 Dec, 2017 and selection Exams-8 Dec § Logistics Training for the selected teams was on 11 -18 Dec § Deployment meeting was 28 -30 Dec, 2017 § First Quarter data collection Jan-Mar, 2018 § First Data Quality Review meetings: April 4 -10 § Second Quarter data collection Apr-Jun, 2018 § Stakeholder update meeting: May 31, 2018 § Third Quarter data collection: July-Sept, 2018 § We are now in the ninth cycle, data collection also started on 2 Sept § Food dairy is administered for 20 days (5 day interval) § The cycle lasts for a maximum of 22 days Becoming a WINNER National Statistics Office in Africa
UPDATE-REDEPLOYMENT OF FIELD TEAMS § Deployment field staff is being done at the end of every cycle in readiness for the commencement of the following cycle data collection § 15 teams are provided with vehicles for the redeployment from one cluster to the next. § For riverine areas, some amount to cover boat fare is being provided to field teams to cover the multiple crossing of the teams during data collection. § Made enough provision to cover multiple movement within the cluster Becoming a WINNER National Statistics Office in Africa
UPDATE-PUBLICITY § 2018 SLIHS publicity is being done at various levels including the use of the electronic media and one-toone contact by the field staff. § Furthermore, we signed memorandum of understanding (Mo. U) with 19 radio stations all over the country to air SLIHS jingles in Krio and other local languages at least 5 days every month to raise the awareness level of the general public § Posts and banners printed and given to field teams § Posters and hand bills are given to every field staff every cycle/monthly to be displayed at the household level Becoming a WINNER National Statistics Office in Africa
UPDATE-MONITORING § Effective Monitoring is an important part of quality data collection process § We maintained the 4 levels of monitoring: § The first level is the work of the Supervisors, responsible for reviewing and editing all the questionnaires § The second level is the work of the Data Entry Clerks (DECs) who are responsible for inputting the data; and in the process raise quality control issues bordering on the use of codes and following the skip patterns. Becoming a WINNER National Statistics Office in Africa
UPDATE-MONITORING § The third level of monitoring of data collection is the work of the monitoring teams, which comprise: § The National Coordinator § 4 regional Coordinator § 3 Data Processing Support Staff § 13 District Statistician/Coordinators § Stats SL Management Staff § MDAs Officials § Stats SL Public Relation Officers § Stats SL Transport Officers § Monitoring of the data collection is carried out every month from the first day of data collection Becoming a WINNER National Statistics Office in Africa
UPDATE-PAYMENT OF ALLOWANCES AND HR ISSUES § Payment of allowances to field teams is being done every month through the banking system, § We are up-to-date with no arrears, although there are delays sometimes by the banks to credit accounts § Fuel is provided for bikes and generators at the current pump price of Le 8, 000 § Consolidated allowance paid-increase to all field staff § Made changes/replacement so far of: § § 3 Enumerators-1 in Team 11, 1 in Team 1 and 1 in team 19 1 DEC in Team 13 1 Resignation-Supervisor of Team 19 1 Promotion- Enumerator 193 to Supervisor 195 in Team 19 Becoming a WINNER National Statistics Office in Africa
CYCLES AND HOUSEHOLD NUMBERS § § § § § Cycle 1 -57 hhs 570 Cycle 2 -57 hhs 570 Cycle 3 -57 hhs 570 Cycle 4 -57 hhs 570 Cycle 5 -57 hhs 570 Cycle 6 -57 hhs 570 Cycle 7 -57 hhs 570 Cycle 8 -57 hhs 570 Total 456 hhs 4560 This means we are on target to achieving the 684 clusters and 6, 840 hhs in 12 months Becoming a WINNER National Statistics Office in Africa
Sample achieved-update (Jan-Jun) 40 34 35 30 Number 25 178 34 164 30 27 23 22 20 27 26 23 18 30 2727 150 28 26 22 18 17 17 15 15 29 15 100 Total MICS 10 5 0 Rural Urban Cycle 1 Rural Urban Cycle 2 Rural Urban Cycle 3 Cycle 4 Cycle/Locality Rural Urban Cycle 5 Rural Urban Cycle 6 Rural Locality Urban Becoming a WINNER National Statistics Office in Africa
Sample achieved-update (Jan-Jun) Cycle 1 District Cycle 2 Cycle 3 Rural Urban Rural Cycle 4 Urban Rural Cycle 5 Urban Rural Cycle 6 Urban Rural Total Urban Rural Urban TOTAL Kailahun 0 3 2 1 2 1 3 0 2 1 11 7 18 Kenema 1 3 2 1 3 0 2 4 6 0 16 12 28 Kono 0 3 3 0 3 0 12 6 18 Bombali 6 0 3 3 5 1 0 6 1 5 18 18 36 Kambia 2 1 3 0 0 0 10 2 12 Koinadugu 2 1 2 1 3 0 14 4 18 Port Loko 1 2 2 1 6 0 2 1 2 0 3 3 16 7 23 Tonkolili 3 0 1 2 2 1 11 7 18 Bo 5 3 5 1 6 3 0 3 4 2 2 3 22 15 37 Bonthe 3 0 3 0 2 1 0 0 3 0 14 1 15 Moyamba 0 0 2 1 3 0 0 0 4 0 0 0 9 1 10 Pujehun 3 0 6 0 2 1 6 0 3 1 23 2 25 W/A/Rural 1 2 0 0 0 6 0 4 1 2 2 14 16 W/A/Urban 0 12 0 9 0 11 0 12 0 68 68 Total 27 30 34 23 27 30 29 28 178 164 342 MICS 22 18 27 15 26 17 150 100 250 Becoming a WINNER National Statistics Office in Africa
REMINDERS Becoming a WINNER National Statistics Office in Africa
Reminders-Survey Period and Books § Period of the survey-22 days-from 2 nd -24 th of the month § Supervisors should not hold on to the books up to the next cycle, thus preventing the DECs from doing their work § Submission-some teams are lagging behind, cycle 8 is still outstanding for some teams and books § Teams are still ignoring the food dairy, entering straight into Bk 4, which is against the procedures § Enumerators sometimes leave behind the diary with the households-this has d Becoming a WINNER National Statistics Office in Africa
Reminders: The Food Item Diary q. The diary keeps stock of the quantity and ‘market’ value of food and related items consumed daily by the HH q The diary will be completed each day for 20 days on a five-day interval basis q. It is to be completed daily preferably by a member of the HH for the five-day period interval of 4 Becoming a WINNER National Statistics Office in Africa
REMINDERS: Source of Errors and poor Responses § We have identified few sources of errors or nor responses: § Poor introduction of the survey-you fail to establish the right environment for the survey § Interviewers not asking questions the right way-e. g H 3: did you go to the hospital in the last 2 or 4 weeks? § Not being skillful enough to crosscheck some responses with members of the hh like in the case of Section W: Livestock § Supervisors not staying in the field or supervising in the field-they are becoming book collectors § Supervisors doing edit corrections with the DECs only§ Enumerators being away from the field-causes rush with work § Interviewers not distributing the lights Becoming a WINNER National Statistics Office in Africa
Reminders: Time Periods – not properly being applied “Last 12 Months” : Starting from end of last completed month and going back. Day of interview July 28 th (month is not complete) Going back 2018 Jun May Apr Last 12 Months from: 2017 Mar Feb Jan Dec Nov Oct Sep Aug July 2017 to June 2018 Last completed month: June 2018 “Last Week” / “Last 7 days” : This is the last completed week/7 days. For example: If you are conducting an interview on Friday, August 5 th, the “Last 7 days” refers to: §The days from Friday July 29 to Thursday August 4 §This is the last completed 7 days/week. Aug 4 Aug 3 Aug 2 Thur Wed Tue Aug 1 Jul 31 Mon Sun Jul 30 Jul 29 Sat Fri Going back Becoming a WINNER National Statistics Office in Africa
Reminder: Section A: HH Roster. Relationship to the head 1/2 Note: Relationship of members of the household refers to the Head of the Household Relationships here explore biological and legal/social relationships, and any other Biological Relationship to the Head: biological child Grand child brother/sister niece/nephew Parent Uncle/Anty Cousin Legal/Social Relationship to the Head Spouse (must have the opposite sex) step / adoptive child brother/sister-in-law Parent-in-law son/daughter-in-law Uncle/Anty-in-law Cousin-in-law maid / nanny / servant No Relationship to the Head non-relative (eg. Friend, neighbour, community workers, servants, lodgers, etc. . ) Becoming a WINNER National Statistics Office in Africa
Reminder: Section A: HH Roster. Relationship to the head 2/2 A 1: Relationship to the head of household? Important Checks If head is female, then If head is male, then 1 head 2 spouse Male Female 3 biological child At least 11 yrs younger At least 13 yrs younger 5 grandchild At least 22 yrs younger At least 26 yrs younger 6 brother/sister (not twins) At least 1 yr younger/older 9 a Parent (Mother) At least 11 yrs older 9 b Parent (Father) At least 13 yrs older Becoming a WINNER National Statistics Office in Africa
Reminder: Section F: Women’s Reproductive Health § Birth History (F 1 -5) F 2 (BOYS AND GIRLS) CANNOT BE GREATER THAN 20 TOTAL PER WOMAN 15 -49 - IT COULD BE ALL BOYS OR ALL GIRLS Female Maximum No Age of a woman Male 1 14 -19 2 20 -24 3 25 -29 4 30 -34 5 35 -39 6 40 -44 7 45 -49 4 4 4 6 6 6 8 8 8 10 10 10 12 12 12 18 18 18 20 20 20 Birth history must be consistent with the age of the woman as suggested in the table Becoming a WINNER National Statistics Office in Africa
Reminder: ISIC and ISCO Codes § Before you write the codes § Describe first the nature of the work or occupation § Go through the codes and see the most suitable Becoming a WINNER National Statistics Office in Africa
Reminder: Level of Education and Age is important is education so cross check age and level of qualification in B 8 because we know that a 10 year old cannot be a university graduate No Level/Qualification (B 8) and Minimum Age Level/Qualification Minimum Age 1 NPSE (Common / Selective Entrance Exam) 10 2 3 4 5 6 7 8 9 10 11 12 BECE GCE O level WASSCE GCE A Level Vocational qualification Teaching certificate (TC, HTC) Technical (OND or HND) Nursing cert. (SECHN, SRN) Other certificate or diploma First degree (BA, BSc etc) Higher (masters, Ph. D etc) 12 15 16 16 18 20 20 20 15 20 24 Becoming a WINNER National Statistics Office in Africa
EVIDENCE FROM THE DATA Becoming a WINNER National Statistics Office in Africa
MICS 6 Matching List § MICS 6 has provided us with the household roster for each household interviewed in the 506 EAs § The list provided to you is to be used independently § However the composition of the household should not significantly be different § We have seen poor marching with MICS household member by some Teams/Enumerators Becoming a WINNER National Statistics Office in Africa
MICS 6 Matching List § Matching with MICS 6 HHs is at 77%, which is very good § The worst matching was in Teams 7 (46. 6%), 15 (43. 7%), 16 (40%) § The best are Teams 10 (13%), 17 (18%), 13 (19. 53%), 1 (19. 54%), 2(19. 7) 23% Becoming a WINNER National Statistics Office in Africa
Household Size § HH size: Team 1 interviewed the most single-member hhs than any of the other teams Becoming a WINNER National Statistics Office in Africa
Under fives Reporting § Team 7 and 13 Reported the highest number of under fives; Teams 2, 3 and 4 reported the least Becoming a WINNER National Statistics Office in Africa
Under fives Reporting § Great improvement in the under-fives reporting and compliant to theory, the best is Team 9 Becoming a WINNER National Statistics Office in Africa
Under fives Reporting § the 2 second best Teams are Team 7 and 13: Becoming a WINNER National Statistics Office in Africa
Under fives Reporting § This is the least theory compliant: Team 1 Becoming a WINNER National Statistics Office in Africa
Being Sick or Injured in the last 4 weeks § The responses are generally low; and the least reported cases are by Team 1, 8, 15 and 11 Becoming a WINNER National Statistics Office in Africa
Being Pregnant or given birth to a child in the last 12 months § The reposes are between 12 -35% of female 15 -49 who answered yes. . . ; the lowest responses are from Team 1, while Team 7 and 13 are the high performing ones Becoming a WINNER National Statistics Office in Africa
Economic Activities (ISIC) § Trade dominates in the pure urban areas, while Agriculture dominates in the pure rural areas Becoming a WINNER National Statistics Office in Africa
Economic Activities (ISIC) § There is a fair distribution of economic activities for teams covering both rural and urban areas Becoming a WINNER National Statistics Office in Africa
Owing Livestock § Team 3 interviewed no hh owing livestock, not even one chicken Becoming a WINNER National Statistics Office in Africa
Food Items Reporting § Team 5 reported the highest number of food items, and Enumerators 3 and 4 reported the highest number of food items; followed by Team 2, Enumerators 4 and 2, and Team 1, Enum 2 Becoming a WINNER National Statistics Office in Africa
Food Items Reporting § Team 6 reported the least number of food items (Enum. 4), followed by Team 13 (Enum. 2); Team 8 (Enum. 3); Team 7, Enum. 2) and Team 1 (Enum. 5) Becoming a WINNER National Statistics Office in Africa
General Perception § It is generally perceived that: Ø the main aim of those Enumerators and Teams found not doing the right thing in the field is to reduce workload and complete the survey questionnaires quickly Ø they don’t have the time to do the job Ø they maybe less knowledgeable to do the survey Ø they are less motivated for one reason or the other Ø they are under less supervision Becoming a WINNER National Statistics Office in Africa
AN ADVICE § Whatever the reason, the impact of a bad work done in the field is far reaching on the quality of the data collected and on the policy to be drawn from the exercise § So please let’s all be careful……. Becoming a WINNER National Statistics Office in Africa
The End Thank you Becoming a WINNER National Statistics Office in Africa
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