Standards, Methodologies, and Quality in Statistical Programs and Services
This presentation highlights the role of the Standards, Methodologies, and Quality Directorate in overseeing statistical programs and services. It covers topics such as quality assurance, sampling frames, statistical classifications, and user satisfaction surveys. The directorate collaborates with various partners to ensure the development and implementation of robust statistical methodologies for both national and international users.
Standards, Methodologies, and Quality in Statistical Programs and Services
PowerPoint presentation about 'Standards, Methodologies, and Quality in Statistical Programs and Services'. This presentation describes the topic on This presentation highlights the role of the Standards, Methodologies, and Quality Directorate in overseeing statistical programs and services. It covers topics such as quality assurance, sampling frames, statistical classifications, and user satisfaction surveys. The directorate collaborates with various partners to ensure the development and implementation of robust statistical methodologies for both national and international users.. Download this presentation absolutely free.
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Midterm Review Mission 16-24 September 2023 Statistical / Non Statistical Directorates Presentations Directorate Name: Standards, Methodologies, and Quality Directorate (SMQD)
Statistical programs / Services covered under this domain Quality. Samples and Sampling Frames. Standards, Classifications and Methodologies.
Statistical programs / Services covered under this domain Quality reports Generic Statistical Business Process Model (GSBPM) ISO 9001 Development self-assessment program for project (DESAP). Quality Internal audits
Statistical programs / Services covered under this domain Up-to-date sampling frames Calculate weights and estimate the variance Design the samples Samples and Sample Frames
Statistical programs / Services covered under this domain linking database for statistical terms and indicators Terms, Variables and indicators manual System of statistical classifications Reviewing eligible data, accelerated data program (ADP) Standards, Classifications and Methodologies
Major projects (conducted in the past three years) User satisfaction survey 2019/2020, 2023. Using statistical classifications within NSS 2022 Agriculture sampling frame 2021
Main publications (paper, electronic) User Satisfaction Survey 2019/2020. Manuals of Statistical Indicators, Terms, Variables. All statistical classifications in PCBS.
Main partners (users, producers, joint publications, joint projects) including partners with MoU/agreements NationalStatisticalSystem (NSS),such as Ministries and governmental institutions. National and internationalusers ofstandards. There are several agreements through which methodologies are provided and designed for local and external partners.
Representation in national / international committees/task force Participationandlead coordinatein the Quality Working Group in MEDSTAT. Participation in the Classifications Working Group in MEDSTAT. Participation in theMICS.7Working Groupsample inUNICEF.
Modernization production of statistics, dissemination Tools; data collection tools; work manuals; Framework etc.) (latest improvement on survey methodology, linking database between terms and indicators. Statistical classifications system. Improvement procedures and documents of the quality management system , and quality report. Design samples that allow the use of CATI in data collection.
Capacity development (non-traditional skills in need to meet new demands) Training PCBS staff in quality management system related to ISO 9001: 2015. Implementation of the NQAF and metadata framework. Developing the mechanisms to check eligible data. Development of standards, classification Databases. Training Samples and sampling Frames Department (SSD) staff in the area of advanced sampling methods, Calibration of weights, and variance estimation.
Challenges (with focus on how you manage to overcome these challenges) Include more work procedures in the quality management system. Difficulty to apply the NQAFand Metadata Frameworkwithin NSS. Lack of resources (technical staff, funding,..etc).
Vision 2030 (where you see your field in 2030) Developing an integrated system of standard manuals and statistical classifications within NSS. Applying National Quality Assurance Framework (NQAF) and Metadata Framework within NSS. Using Artificial Intelligence in developing sampling techniques.
