The Business Survey Framework 2: Quality issues

Size: px
Start display at page:

Download "The Business Survey Framework 2: Quality issues"

Transcription

1 Designing and Conducting Business Surveys for Official Statistics, Tbilisi, November 2016 The Business Survey Framework 2: Quality issues 1

2 Topics Quality Dimensions Unit and measurement related quality issues Cost efficiency calculations Response burden issues 2

3 Framework and Framework elements Total Survey Error Approach Survey error Survey cost 3

4 TSE approach: Quality = 1 (Bias 2 + Variance) 2 1 [(BSpecificat ion BFrame BNonresponse BMeasurement BProcessin g ) (VSampling VMeasurement VProcessin g )] WHO? Extended Survey Survey Cycle Cycle HOW? WHAT? Coverage errors Sampling errors Nonresponse errors Population Sample frame Sample Specification Development & testing Survey communication & management Construct Measurement instrument Validity Measurement errors Adjustment errors Respondents Data delivery & documentation Response Processing errors Adjusted Coding, cleaning & data integration Edited Data delivery 4

5 Sampling Business Surveys Sampling Not eligible Unit nonresponse Item nonresponse Varying sample variances Inactive included Active excluded One counted as several (multiplicity) Several counted as one (clustering) Inaccurate classification Misclassification Mandatory? 5

6 The Relationship Between Business Units and Survey Units Quality of Business Register Confusion about sample unit (Stratification issues) Unit or item nonresponse? Competence? Reference? 6

7 Representation Measurement = Mismatch Accessibility Delineation of... Likely outcomes Concept Unit Reference period Easy accessible Exact datum Difficult accessible Approximation Generable Solid estimate Estimable Rough estimate Inconceivable Blunder Nonexistent Item nonresponse 7

8 Sources of Response Burden E-technical E-Usability Other Layout No of questions Wait for information Terms Calculations Need of help Mismatch Response categories

9 Survey Elements and Business Responses Survey Communication Questionnaire Communication More steps increase the error risk More complicated structure increases the error risk Information distributed Mismatch between Between people organizational Between sources structure and Over time question flow increases error risk 9

10 Survey Coordinator Take the role Manage the role 10

11 Prominent Errors Sources in Business Surveys WHO? WHAT? Coverage/ Identification Population Sample frame Sample Management decisions Construct Measurement instrument Mismatches Transformations Integration Respondents Response Information system complexity Adjusted Edited Data delivery 11

12 Cost Efficiency Quality Cost 2 1 (BSpecificat ion BFrame BNonresponse BMeasurement BProcessin g ) (VSampling VMeasurement VProcessin g ) ( Consumables TimeInside NSI ) ( TimeInterviewers TimeBusin ess management TimeRe spondents ) Monetary Cost = Internal cost + «Actual Response Burden» Non Monetary Costs: Perceived Response Burden Technology Ethics Time 12

13 Response burden effects on cost efficiency Corrected key variable Corrections made on key structural variable by perceived response burden and one/multi business enterprise. Percent Number of reminders Average number of reminders by perceived response burden and one/multi business enterprise 100 % 90 % 80 % 70 % One business enterprise Multi business enterprise Total 2 1,8 1,6 1,4 One business enterprise Multi business enterprise Total 60 % 1,2 50 % 1 40 % 0,8 30 % 0,6 20 % 0,4 10 % 0,2 0 % Very easy Easy Neither easy, nor difficult Difficult Very difficult 0 Very easy Easy Neither easy, nor difficult Difficult Very difficult Cost Efficiency Quality Cost Edits indicate small quality reduction Reminding cost slightly increase Response time increases 13

14 What perceptions matter most? 14

15 User Evaluation Criteria Macro Economists Mediators Decision makers Relevance Accuracy Timeliness Punctuality Accessibility Clarity Comparability Coherence (Eurostat Quality Dimensions, 2011) You and I 15

16 User Evaluation Criteria Macro Economists Mediators Relevance to The National Account Timeliness Coherence Comparability News criteria relevance Punctuality Timeliness Trustworthy Decision makers Trustworthy Political or economic relevance You and I Trustworthy Political or economic relevance 16

17 Quality issues in Business Surveys: Key Takeaways Relevance to National Account Representation Coverage/ identification Measurement Mismatch Cost Efficiency Monetary «Actual» & and non monetary Perceived business costs Response Burden Taking the role as survey coordinator 17

Quality in Statistical Organizations- Concepts and Methodological Issues

Quality in Statistical Organizations- Concepts and Methodological Issues Quality in Statistical Organizations- Concepts and Methodological Issues Lars Lyberg Statistics Sweden and Stockholm University Lars.Lyberg@scb.se Swiss Statistical Meeting,, Aarau, November 17-19, 19,

More information

ANNUAL QUALITY REPORT

ANNUAL QUALITY REPORT REPUBLIC OF SLOVENIA ANNUAL QUALITY REPORT FOR THE SURVEY USAGE OF ICT IN ENTERPRISES FOR THE YEAR 2011 Prepared by: Gregor Zupan Date: July 2012 1/9 Table of contents 0 Basic Data... 3 1 Relevance...

More information

Data quality and Indicators. Tübingen, March 2005 August Götzfried Eurostat - Unit B5

Data quality and Indicators. Tübingen, March 2005 August Götzfried Eurostat - Unit B5 Data quality and Indicators Tübingen, March 2005 August Götzfried Eurostat - Unit B5 Background Eurostat works since more than 0 years on quality in statistics; the following results were achieved: The

More information

Quality report On Labour Cost Survey 2012 Macedonia. Prepared by: Elena Peeska Dejan Peeski

Quality report On Labour Cost Survey 2012 Macedonia. Prepared by: Elena Peeska Dejan Peeski Quality report On Labour Cost Survey 2012 Macedonia Prepared by: Elena Peeska Dejan Peeski December 2014 CONTENT 1. Relevance... 3 2. Accuracy... 3 2.1. Sampling errors... 5 2.2. Non-sampling errors...

More information

EUROPEAN STATISTICS CODE OF PRACTICE

EUROPEAN STATISTICS CODE OF PRACTICE EUROPEAN STATISTICS CODE OF PRACTICE adopted by the Statistical Programme Committee on 24 February 2005 Preamble Definitions: For the purpose of this document: European Statistics shall mean Community

More information

Quality Sheet: Documentation of Quality Indicators at Statistics Austria

Quality Sheet: Documentation of Quality Indicators at Statistics Austria Quality Sheet: Documentation of Quality Indicators at Statistics Austria Thomas Burg, Peter Hackl, Werner Holzer 1. Introduction During the last few years, Statistics Austria has developed a system of

More information

ANNUAL QUALITY REPORT

ANNUAL QUALITY REPORT REPUBLIC OF SLOVENIA ANNUAL QUALITY REPORT FOR THE SURVEY STRUCTURAL BUSINESS STATISTICS FOR YEAR 2007 Prepared by: Barbara Dremelj Ribič, Nataša Pušlar Car Date: 24.05.2010 1/8 Table of contents 0 Basic

More information

ANNUAL QUALITY REPORT

ANNUAL QUALITY REPORT ANNUAL QUALITY REPORT FOR THE SURVEY ON THE CONSUMPTION OF MINERAL FERTILISERS ON FAMILY FARMS BY AGRICULTURAL CROPS (KME-PMD/DK) FOR 2014 Prepared by: Enisa Lojović Hadžihasanović and Jerneja Pikelj Date:

More information

ANNUAL QUALITY REPORT

ANNUAL QUALITY REPORT REPUBLIC OF SLOVENIA ANNUAL QUALITY REPORT FOR THE SURVEY ANNUAL STATISTICAL SURVEY ON CONSTRUCTION (GRAD/L) FOR 212 Prepared by: Ajda Demšar Date: 2 th March 214 1/1 Table of Contents Methodological Explanations...

More information

Istat quality policy: Preconditions of quality assessment

Istat quality policy: Preconditions of quality assessment Istat quality policy: Preconditions of quality assessment EU Twinning Project JO/13/ENP/ST/23 23-27 November 2014 Component 3: Quality and metadata Activity 3.9: Quality Audit I Mrs Giovanna Brancato,

More information

ANALYSIS OF THE RESULTS FROM QUALITY SELF-ASSESSMENT OF STATISTICAL INFORMATION IN THE NATIONAL STATISTICAL SYSTEM OF BULGARIA

ANALYSIS OF THE RESULTS FROM QUALITY SELF-ASSESSMENT OF STATISTICAL INFORMATION IN THE NATIONAL STATISTICAL SYSTEM OF BULGARIA ANALYSIS OF THE RESULTS FROM QUALITY SELF-ASSESSMENT OF STATISTICAL INFORMATION IN THE NATIONAL STATISTICAL SYSTEM OF BULGARIA April, 2010 1 CONTENTS 1. INTRODUCTION...3 2. SURVEY DESCRIPTION...3 2.1.

More information

ASSESSMENT OF THE QUALITY IN STATISTICS

ASSESSMENT OF THE QUALITY IN STATISTICS Doc. Eurostat/A4/Quality/00/General/Standard report Orig. : EN Available in EN ASSESSMENT OF THE QUALITY IN STATISTICS Luxembourg - 4-5/04/2000 at 9h 30 Room Quetelet, BECH-building Item 4 of the agenda

More information

Quality Assessment of Statistical Processes and Products at SORS

Quality Assessment of Statistical Processes and Products at SORS Quality Assessment of Statistical Processes and Products at Seljak, Rudi Statistical Office of the Republic of Slovenia Vožarski pot 12 1000 Ljubljana, Slovenia Rudi.seljak@gov.si SORS Introduction Quality

More information

ANNUAL QUALITY REPORT

ANNUAL QUALITY REPORT ANNUAL QUALITY REPORT FOR THE SURVEY ANNUAL STATISTICAL SURVEY ON CONSTRUCTION (GRAD/L) FOR 2015 Prepared by: Špela Kastelic Date: December 2016 1/9 Table of Contents 0 Methodological Explanations... 3

More information

Documentation of statistics for Computer Services 2015

Documentation of statistics for Computer Services 2015 Documentation of statistics for Computer Services 2015 1 / 14 1 Introduction The statistics provides information about the activities in the sector for Computer services and thereby improve the knowledge

More information

COMMUNITY INNOVATION SURVEY (CIS)

COMMUNITY INNOVATION SURVEY (CIS) Standard Report on Methods and Quality for COMMUNITY INNOVATION SURVEY (CIS) Published as: Innovation in Irish Enterprises This documentation applies to the reporting period: 2012 2014 inclusive Last edited:

More information

Statistics Centre Abu Dhabi Charter of Code of Practices

Statistics Centre Abu Dhabi Charter of Code of Practices Statistics Centre Abu Dhabi Charter of Code of Practices for the Exchange of Statistical Data and Other Related Work In regard to the community forums of the municipal system Document Code: TEC-COD-002

More information

ANNUAL QUALITY REPORT

ANNUAL QUALITY REPORT REPUBLIKA SLOVENIJA ANNUAL QUALITY REPORT FOR THE SURVEY ANNUAL REPORT ON RETAIL TRADE, WHOLESALE AND COMISSION TRADE (TRG/L) FOR 2012 Prepared by: Dominika Lunder, Rudi Seljak Date: November 2014 1/8

More information

Standards and Guidelines. Volume 1. Quality in Statistics

Standards and Guidelines. Volume 1. Quality in Statistics Standards and Volume 1 Quality in Statistics Quality Assurance & Audit Section Version 1.0 January 2006 TABLE OF CONTENTS 1 INTRODUCTION... 4 2 OFFICE POLICY... 4 3 QUALITY IN STATISTICS... 5 3.1 Defining

More information

Quality Assessment and Indicators

Quality Assessment and Indicators Quality Assessment and Indicators 1 Many have written on this topic Statistics Canada. Policy on Informing Users of Data Quality and Methodology. ONS (UK). Guidelines for Measuring Statistical Quality.

More information

Central Statistical Bureau of Latvia. The Report on Quality for Structural Statistics on Earnings

Central Statistical Bureau of Latvia. The Report on Quality for Structural Statistics on Earnings Central Statistical Bureau of Latvia The Report on Quality for Structural Statistics on Earnings As required By Commission Regulation (EC) No 698/2006 of May 2006 implementing Council Regulation (EC) No

More information

ANNUAL QUALITY REPORT

ANNUAL QUALITY REPORT REPUBLIC OF SLOVENIA ANNUAL QUALITY REPORT FOR THE SURVEY GROSS INVESTMENTS IN FIXED ASSETS (INV-1, INV-3) FOR 2012 Prepared by: Edita Glinšek Date: January 2014 1/1 0 Table of Contents 0 Methodological

More information

SECTORAL REVIEW OF LABOR FORCE SURVEY (LFS) IN EGYPT

SECTORAL REVIEW OF LABOR FORCE SURVEY (LFS) IN EGYPT SECTORAL REVIEW OF LABOR FORCE SURVEY (LFS) IN EGYPT Ghada Mohamed Abd El Salam Central Agency for Public Mobilization And Statistics (cont.): 4 First :Labor Force Survey in Egypt. A- Historical Overview:

More information

Quality Assessment of Indicators and Trade-offs Between Quality Dimensions

Quality Assessment of Indicators and Trade-offs Between Quality Dimensions Quality Assessment of Indicators and Trade-offs Between Quality Dimensions Lilli Japec, PhD Director R&D Department Statistics Sweden Email: lilli.japec@scb.se facebook.com/statisticssweden @SCB_nyheter

More information

ANNUAL QUALITY REPORT

ANNUAL QUALITY REPORT ANNUAL QUALITY REPORT FOR THE SURVEY ON HOUSEHOLD ENERGY CONSUMPTION (APEGG) FOR 2014 Prepared by: Teja Rutar Date: February 2016 1/10 Table of Contents 0 Methodological Explanations... 3 1 Relevance...

More information

Quality assurance framework Case of Hungarian Central Statistical Office (HCSO), December 2009

Quality assurance framework Case of Hungarian Central Statistical Office (HCSO), December 2009 Quality assurance framework Case of Hungarian Central Statistical Office (HCSO), December 2009 1. Context, quality policy, quality model Introduction The HCSO started its systematic approach to quality

More information

ITEM 4.2B: METHODOLOGICAL DOCUMENTS STANDARD REPORT

ITEM 4.2B: METHODOLOGICAL DOCUMENTS STANDARD REPORT Doc. Eurostat/A4/Quality/03/General/Standard_Report Available in EN Working Group "Assessment of quality in statistics" Sixth meeting Luxembourg, 2-3 October 2003 at 9 h 30 Room Ampere, Bech building ITEM

More information

Standard Report on Methods and Quality. For. Production of Milk and Milk Products

Standard Report on Methods and Quality. For. Production of Milk and Milk Products Standard Report on Methods and Quality For Production of Milk and Milk Products This documentation applies to the reporting period: From November 2008 Last edited: 03/11/2017 CENTRAL STATISTICS OFFICE

More information

ANNUAL QUALITY REPORT

ANNUAL QUALITY REPORT REPUBLIC OF SLOVENIA ANNUAL QUALITY REPORT FOR THE SURVEY MONTHLY REPORT ON SERVICE ACTIVITIES AND MONTHLY REPORT ON WHOLESALE TRADE FOR Prepared by: Barbara Troha Ažbe, Rudi Seljak Date: March 2014 1/12

More information

Session 5: Tools and practices for collecting quality metadata from data providers and informing users on the quality of statistics

Session 5: Tools and practices for collecting quality metadata from data providers and informing users on the quality of statistics Committee for the Coordination of Statistical Activities Conference on Data Quality for International Organizations Newport, Wales, United Kingdom, 27-28 April 2006 Session 5: Tools and practices for collecting

More information

Session 11: Three ways of using Administrative Data

Session 11: Three ways of using Administrative Data Course on Register-based Statistics INEGI Aguascalientes April 2011 Anders & Britt Wallgren Statistics Sweden and Örebro University ba.statistik@telia.com Session 11: Three ways of using Administrative

More information

Quality principles and user needs of balance of payments statistics

Quality principles and user needs of balance of payments statistics Quality principles and user needs of balance of payments statistics BALANCE OF PAYMENTS STATISTICS DATA COLLECTION AND COMPILATION Rome, 9-10 June, 2011 Giacomo Oddo Overview Definition of quality and

More information

QUALITY DECLARATION Producer and Import Price Index (PPI)

QUALITY DECLARATION Producer and Import Price Index (PPI) Quality declaration version 1 2018-02-28 1 (14) QUALITY DECLARATION Producer and Import Price Index (PPI) Subject and statistical area Subject area: Statistical area: Prices and consumption Producer and

More information

ANNUAL QUALITY REPORT

ANNUAL QUALITY REPORT ANNUAL QUALITY REPORT FOR THE SURVEY Consumer Price Index (CPI) Harmonised Index of Consumer Prices (HICP) FOR 2014 Prepared by: Mojca Zlobec Date: July 2016 1/11 Table of Contents 0 Methodological Explanations...

More information

Official Energy Statistics - IRES

Official Energy Statistics - IRES Paper to the Oslo Group meeting in Ottawa February 2-6, 2009. Session 4 Chapter 2. Official Energy Statistics - IRES Olav Ljones, Statistics Norway. olj@ssb.no A. What is official statistics? 1. IRES will

More information

The European Market for Organic Food

The European Market for Organic Food SEVENTH FRAMEWORK PROGRAMME FP7-KBBE.2011.1.4-05 Data network for better European organic market information The European Market for Organic Food Assessment of data quality Biofach 14/02/2013 2 Overview

More information

South African Statistical Quality Assessment Framework

South African Statistical Quality Assessment Framework South African Statistical Quality Assessment Framework 30 August 2011 National Statistics System Division 1 Overview Purpose Background Definition Statistics Act South African Statistical Assessment Framework

More information

Standard Report on Methods and Quality. for Earnings and Labour Costs

Standard Report on Methods and Quality. for Earnings and Labour Costs Standard Report on Methods and Quality for Earnings and Labour Costs This documentation applies to the reporting period: 2017 Last edited: 22/08/2017 CENTRAL STATISTICS OFFICE Skehard Road, Cork 021 4545000

More information

ANNUAL QUALITY REPORT

ANNUAL QUALITY REPORT REPUBLIC OF SLOVENIA ANNUAL QUALITY REPORT FOR THE SURVEYS Consumer Price Index (CPI) Harmonised Index of Consumer Prices (HICP) FOR 2012 Prepared by: Jaka Erpič Date: November 2013 1/11 Table of Contents

More information

COUNTRY PRACTICE IN ENERGY STATISTICS

COUNTRY PRACTICE IN ENERGY STATISTICS COUNTRY PRACTICE IN ENERGY STATISTICS Topic/Statistics: Electricity Institution/Organization: TERNA SpA Country: ITALY Date: 22_03_2012 CONTENTS Abstract... 3 1. General information... 4 1.1. Name of the

More information

The Statistics Code of Practice in Jordan: Challenges and Future. Mohammad KHALAF

The Statistics Code of Practice in Jordan: Challenges and Future. Mohammad KHALAF The Statistics Code of Practice in Jordan: Challenges and Future Mohammad KHALAF Department of Statistics, Amman, Jordan Mobile: 00962-79-5880413 Email: mkhalaf@dos.gov.jo Email: khalaf30@gmail.com Keywords:

More information

Women and men in decision making Background document for the experts meeting

Women and men in decision making Background document for the experts meeting Women and men in decision making Background document for the experts meeting To monitor progress toward better balance of power between women and men, in 2003 the European Commission established a database

More information

ESSnet KOMUSO Workshop on "Quality of Multisource Statistics"

ESSnet KOMUSO Workshop on Quality of Multisource Statistics ESSnet KOMUSO Work Package 3 (SGA-3) ESSnet KOMUSO Q u a l i t y i n M u l t i s o u r c e S t a t i s t i c s h t t p s : / / e c. e u r o p a. e u / e u r o s t a t / c r o s / c o n t e n t / e s s

More information

Implementation of Eurostat Quality Declarations at Statistics Denmark with cost-effective use of standards

Implementation of Eurostat Quality Declarations at Statistics Denmark with cost-effective use of standards Implementation of Eurostat Quality Declarations at Statistics Denmark with cost-effective use of standards Mogens Grosen Nielsen, Chief Adviser, Statistics Denmark Lars Thygesen, Director, Statistics Denmark

More information

Global Marketing. Marketing. Learning Objectives. Tools of MIS 10/20/2014. Information Technology for Global

Global Marketing. Marketing. Learning Objectives. Tools of MIS 10/20/2014. Information Technology for Global Global Marketing Warren J. Keegan Mark C. Green Global Information Systems and Market Research Chapter 6 Learning Objectives Understand the importance of information technology and marketing information

More information

ITEM 4.2C: METHODOLOGICAL DOCUMENTS GLOSSARY

ITEM 4.2C: METHODOLOGICAL DOCUMENTS GLOSSARY Doc. Eurostat/A4/Quality/03/Glossary Working Group "Assessment of quality in statistics" Sixth meeting Luxembourg, 2-3 October 2003 at 9 h 30 Room Ampere, Bech building ITEM 4.2C: METHODOLOGICAL DOCUMENTS

More information

Quality Assessments of Statistical Production Processes in Eurostat Pierre Ecochard and Małgorzata Szczęsna, Eurostat

Quality Assessments of Statistical Production Processes in Eurostat Pierre Ecochard and Małgorzata Szczęsna, Eurostat Quality Assessments of Statistical Production Processes in Eurostat Pierre Ecochard and Małgorzata Szczęsna, Eurostat Since 1994, Eurostat has developed its own approach for the measurement of the quality

More information

SOME ASPECTS OF QUALITY ASSESSMENT OF USAGE OF ADMINISTRATIVE DATA IN OFFICIAL STATISTICS

SOME ASPECTS OF QUALITY ASSESSMENT OF USAGE OF ADMINISTRATIVE DATA IN OFFICIAL STATISTICS SOME ASPECTS OF QUALITY ASSESSMENT OF USAGE OF ADMINISTRATIVE DATA IN OFFICIAL STATISTICS Rudi Seljak Statistical Office of the Republic of Slovenia Sector for General Methodology and Standards Vožarski

More information

Controlling the Quality of Surveys in the Gulf

Controlling the Quality of Surveys in the Gulf RTI International The following slides are the property of their authors and are provided on this website as a public service. Please do not copy or redistribute these slides without the written permission

More information

Quality Reports and Their Role in Metadata

Quality Reports and Their Role in Metadata Quality Reports and Their Role in Metadata Component A: Quality Management of Official Statistics Activity A.3: Quality reports, tools and methods 12. 15. September 2016 Karin Blix, Quality Coordinator,

More information

Modernization of statistical production process

Modernization of statistical production process Modernization of statistical production process Meeting of the Technical Advisory Group on Economic Statistics in the Arab region 9-10 November 2016 Cairo, Egypt Benson Sim United Nations Statistics Division

More information

Report. on the results of the first self-assessments carried out by the statistical authorities of the European Statistical System

Report. on the results of the first self-assessments carried out by the statistical authorities of the European Statistical System EUROPEAN COMMISSION EUROSTAT Report on the results of the first self-assessments carried out by the statistical authorities of the European Statistical System against the principles and indicators of the

More information

Supporting instruments for gender analysis and development of gender policies. Gender Statistics

Supporting instruments for gender analysis and development of gender policies. Gender Statistics Supporting instruments for gender analysis and development of gender policies Gender Statistics Quality multidimensional concept measures the fitness of data for their purpose assessed through the intended

More information

Standardisation for improvements in Statistics Norway Rune Gløersen 1 and Hans Viggo Sæbø 2

Standardisation for improvements in Statistics Norway Rune Gløersen 1 and Hans Viggo Sæbø 2 Proceedings of MSP2009 Modernisation of Statistics Production 2009 Standardisation for improvements in Statistics Norway Rune Gløersen 1 and Hans Viggo Sæbø 2 Statistics Norway has been running a programme

More information

Issues in data quality and comparability in EU-SILC Vijay Verma University of Siena

Issues in data quality and comparability in EU-SILC Vijay Verma University of Siena Comparative EU Statistics on Income and Living Conditions: Issues and Challenges Eurostat and Statistics Finland Conference. Helsinki, 6-7 November, 2006. Issues in data quality and comparability in EU-SILC

More information

The Integrated System of Statistical Registers: methodological approach and impact on official statistics

The Integrated System of Statistical Registers: methodological approach and impact on official statistics The Integrated System of Statistical Registers: methodological approach and impact on official statistics ROBERTO MONDUCCI ORIETTA LUZI Outline 1 Istat s register-based statistical system 2 3 4 5 Integrated

More information

Structure of Earnings Survey Quality report 2006

Structure of Earnings Survey Quality report 2006 NATIONAL STATISTICAL SERVICE OF GREECE Structure of Earnings Survey Quality report 2006 Division of Population and Labour Market Statistics Wages and Salaries Statistics Section Nikos Fragoulopoulos Zoi

More information

National Quality Assurance Frameworks. Mary Jane Holupka September 2013

National Quality Assurance Frameworks. Mary Jane Holupka September 2013 National Quality Assurance Frameworks Mary Jane Holupka September 2013 1 Presentation 1.1 - OUTLINE Understanding Quality BASIC CONCEPTS - Quality and Dimensions of Quality - Quality Assessment - Quality

More information

ANNUAL QUALITY REPORT

ANNUAL QUALITY REPORT REPUBLIC OF SLOVENIA ANNUAL QUALITY REPORT FOR THE SURVEY MONTHLY STATISTICAL SURVEY ON TOURIST ARRIVALS AND OVERNIGHT STAYS FOR 2009 Prepared by: Irena Černič Date: July 2010 1/10 Table of Contents 0

More information

Programme for the Modernisation of European Enterprise and Trade Statistics (MEETS)

Programme for the Modernisation of European Enterprise and Trade Statistics (MEETS) The European profiling of multinational enterprise groups: a crucial tool in the current European developments on statistical units to improve national and European business statistics Dominique FRANCOZ

More information

1.3 Building blocks The input datasets

1.3 Building blocks The input datasets 1.3 Building blocks The input datasets One aim of a S-DWH is to create a set of fully integrated statistical data. Input for these data may come from different sources like surveys, administrative data,

More information

Total Survey Error Model for Estimating Population Total in Two Stage Cluster Sampling

Total Survey Error Model for Estimating Population Total in Two Stage Cluster Sampling Total Survey Error Model for Estimating Population Total in Two Stage Cluster Sampling Damson Munyaradzi 1, Otieno Romanus Odhiambo 2, Orwa George Otieno 3 1 Pan African University Institute of Basic Science,

More information

Roadmap. Enhanced access, use and management of administrative data in statistical programs

Roadmap. Enhanced access, use and management of administrative data in statistical programs Roadmap Enhanced access, use and management of administrative data in statistical programs Prepared as part of the PRASC Regional Seminar on Administrative Data Trinidad, Jan 26-28, 2016 Page 2 ROADMAP

More information

APPLYING STATISTICAL PROCESS CONTROL (SPC) TO OFFICIAL STATISTICS

APPLYING STATISTICAL PROCESS CONTROL (SPC) TO OFFICIAL STATISTICS 6 th Research/Expert Conference with International Participations QUALITY 2009, Neum, B&H, June 04 07, 2009 APPLYING STATISTICAL PROCESS CONTROL (SPC) TO OFFICIAL STATISTICS Prof. Vesna Bucevska, Ph.D.

More information

Two Critical Questions. Are we happy with the current production process and the products?

Two Critical Questions. Are we happy with the current production process and the products? Two Critical Questions Are we happy with the current production process and the products? Do we need to save money, increase productivity, improve information value How can we improve this? improving quality,

More information

The System of National Accounts 2008 and

The System of National Accounts 2008 and The System of National Accounts 2008 and integrated t statistics ti ti approach High-level Meeting for Coordinated Implementation of International Standards for Macroeconomic Statistics 3-4 September 2014,

More information

Article 1. Data requirements

Article 1. Data requirements < SES package > Article 1 Data requirements 1. Member States shall provide data on the structure and distribution of earnings every 4 years starting with reference year 2002. The statistics shall be transmitted

More information

QUALITY DECLARATION. Foreign trade - exports and imports of goods. Statistics Sweden (17) Subject area Trade in goods and services

QUALITY DECLARATION. Foreign trade - exports and imports of goods. Statistics Sweden (17) Subject area Trade in goods and services 2017-02-28 1 (17) QUALITY DECLARATION Foreign trade - exports and imports of goods Subject area Trade in goods and services Statistical area Foreign trade Product code HA0201 Reference time 2017 month

More information

Designing the integration of register and survey data in earning statistics

Designing the integration of register and survey data in earning statistics Designing the integration of register and survey data in earning statistics C. Baldi 1, C. Casciano 1, M. A. Ciarallo 1, M. C. Congia 1, S. De Santis 1, S. Pacini 1 1 National Statistical Institute, Italy

More information

Service Satisfaction Survey

Service Satisfaction Survey Service Satisfaction Survey May2016 BritHal 1250SiskiyouBlvd Ashland,OR97520 541-552-6700 Table of Contents Methodology... 3 Overview of Key Findings... 4 1. How often do you use the Service Center?...

More information

Quality Report. Eurostat, Unit F2. May Contents

Quality Report. Eurostat, Unit F2. May Contents Structure of Earnings Survey 2002 Quality Report Eurostat, Unit F2 May 2006 Contents 0. Introduction 1. Relevance 2. Accuracy 2.1 Sampling errors 2.2 Non-sampling errors 3. Punctuality and timeliness 4.

More information

National Quality Assurance Frameworks. Regional Course on 2008 SNA (Special Topics): Improving Exhaustiveness of GDP Coverage

National Quality Assurance Frameworks. Regional Course on 2008 SNA (Special Topics): Improving Exhaustiveness of GDP Coverage National Quality Assurance Frameworks Regional Course on 2008 SNA (Special Topics): Improving Exhaustiveness of GDP Coverage 31 August-4 September 2015 Daejeon, Republic of Korea United Nations Statistics

More information

SBR SBR SBR SBR SBR SBR SBR

SBR SBR SBR SBR SBR SBR SBR 1 Content 1 Content... 1 2 Roles of the SBR... 2 2.1 Brief presentation of the issues and problems to be covered... 2 2.1.1 The SBR system... 2 2.1.2 Units and populations... 3 2.1.3 Use of administrations

More information

Contents and use of register-based job files. Svein Gaasemyr and Steven Vale, Eurostat and Peter Struijs, Statistics Netherlands 1

Contents and use of register-based job files. Svein Gaasemyr and Steven Vale, Eurostat and Peter Struijs, Statistics Netherlands 1 Working Paper No. 32 ENGLISH ONLY STATISTICAL COMMISSION and ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS STATISTICAL OFFICE OF THE EUROPEAN COMMUNITIES (EUROSTAT) Joint ECE/Eurostat

More information

PART B Details of ICT collections

PART B Details of ICT collections PART B Details of ICT collections Name of collection: Business Use of Information and Communication Technologies Survey Nature of collection If possible, use the classification of collection types shown

More information

12 th World Telecommunication/ICT Indicators Symposium (WTIS-14)

12 th World Telecommunication/ICT Indicators Symposium (WTIS-14) 12 th World Telecommunication/ICT Indicators Symposium (WTIS-14) Tbilisi, Georgia, 24-26 November 2014 Presentation Document C/18-E 25 November 2014 English SOURCE: TITLE: Consultant to ITU ITU Data Quality

More information

Documentation of statistics for Business Demography 2015

Documentation of statistics for Business Demography 2015 Documentation of statistics for Business Demography 2015 1 / 10 1 Introduction The purpose of the Business Demography is to provide information about the development of enterprise births and deaths as

More information

FUNDAMENTAL STAGES IN DESIGNING PROCEDURE OF STATISTICAL SURVEY

FUNDAMENTAL STAGES IN DESIGNING PROCEDURE OF STATISTICAL SURVEY FUNDAMENTAL STAGES IN DESIGNING PROCEDURE OF STATISTICAL SURVEY PÉTER PUKLI The mission of National Statistics Institutes (NSIs) is to meet the statistical needs of the different user groups. Consequently,

More information

Tourism Statistics: Challenges and Good Practices. Regional Workshop for the CIS countries. Data quality. Item 12. Peter LAIMER UNWTO

Tourism Statistics: Challenges and Good Practices. Regional Workshop for the CIS countries. Data quality. Item 12. Peter LAIMER UNWTO Tourism Statistics: Challenges and Good Practices Regional Workshop for the CIS countries Data quality Item 12 Peter LAIMER UNWTO UNWTO/UNSD WS Moldova, Meanings of quality Overused item and questioned,

More information

Pushing Forward with ASPIRE 1

Pushing Forward with ASPIRE 1 Pushing Forward with ASPIRE 1 Heather BERGDAHL Quality Coordinator, Statistics Sweden Dr. Paul BIEMER Distinguished Fellow, RTI International Dennis TREWIN Former Australian Statistician 0. Abstract Statistics

More information

Quality in statistics, the quality framework of the ESS Zsuzsanna Kovács Team Leader, Quality Team Unit D4, Eurostat 24/10/2016

Quality in statistics, the quality framework of the ESS Zsuzsanna Kovács Team Leader, Quality Team Unit D4, Eurostat 24/10/2016 Quality in statistics, the quality framework of the ESS Zsuzsanna Kovács Team Leader, Quality Team Unit D4, 24/10/2016 Overview What is quality and quality in statistics? The European Statistical System

More information

QUALITY REPORT COMPILING INSTITUTION: CONTACT DETAILS: NAME: ADDRESS: TELEPHONE NUMBER: POSTAL ADDRESS:

QUALITY REPORT COMPILING INSTITUTION: CONTACT DETAILS: NAME:  ADDRESS: TELEPHONE NUMBER: POSTAL ADDRESS: QUALITY REPORT COMPILING INSTITUTION: CONTACT DETAILS: NAME: E-MAIL ADDRESS: TELEPHONE NUMBER: POSTAL ADDRESS: Please answer in the grey-shaded cells or, when necessary, update the information given. Please

More information

Found data. Administrative data. End users system (FTP, XML) Transaction data from private sector Published prices Big/organic/unconventional data

Found data. Administrative data. End users system (FTP, XML) Transaction data from private sector Published prices Big/organic/unconventional data A short recap 1 Found data Administrative data Reusing data from other official/government institutions End users system (FTP, XML) Transaction data from private sector Published prices Big/organic/unconventional

More information

Business Data Collection: Some Norwegian, Dutch, and Danish Experiences

Business Data Collection: Some Norwegian, Dutch, and Danish Experiences Utilizing Web Technology in Business Data Collection: Some Norwegian, Dutch, and Danish Experiences Gustav Haraldsen, Ger Snijkers Marko Roos, Anne Sundvoll, Torgeir Vik, Hanne-Pernille Stax NTTS, 22-2424

More information

21 st Meeting of the European Statistical System Committee

21 st Meeting of the European Statistical System Committee ESSC 2014/21/24/EN 21 st Meeting of the European Statistical System Committee Luxembourg, 14 th 15 th May 2014 Item 24 of the agenda European Strategy for Environmental Accounts Work Programme Objective

More information

Mixed mode and web data collection

Mixed mode and web data collection Mixed mode and web data collection Experiences in the ESS Annemieke Luiten Contents ESSnet on web and mixed mode data collection CBS and other experiences with web and mixed mode data collection How to

More information

26 th Meeting of the Wiesbaden Group on Business Registers - Neuchâtel, September Daliute Kavaliauskiene Statistics Lithuania

26 th Meeting of the Wiesbaden Group on Business Registers - Neuchâtel, September Daliute Kavaliauskiene Statistics Lithuania . 26 th Meeting of the Wiesbaden Group on Business Registers - Neuchâtel, 24 27 September 2018 Daliute Kavaliauskiene Statistics Lithuania Quality and Coverage of Statistical Business Registers Statistical

More information

Quality Management in Korean National Statistical Systems Focused on Quality Assessment

Quality Management in Korean National Statistical Systems Focused on Quality Assessment Quality Management in Korean National Statistical Systems Focused on Quality Assessment Sung H. Park Department of Statistics, Seoul National University, Seoul, Korea ABSTRACT First of all, the current

More information

The creation and application of a new quality management model

The creation and application of a new quality management model The creation and application of a new quality management model Peter W.M. van Nederpelt Summary In 2007 Statistics Netherlands (SN) started a project to select a quality management model in order to improve

More information

Introduction to Sample Surveys

Introduction to Sample Surveys Introduction to Sample Surveys Statistics 331 Kirk Wolter September 26, 2016 1 Outline A. What are sample surveys? B. Main steps in a sample survey C. Limitations/Errors in survey data September 26, 2016

More information

Transparency in the Reporting of Quality for Integrated Data: A Review of International Standards and Guidelines

Transparency in the Reporting of Quality for Integrated Data: A Review of International Standards and Guidelines F I N A L R E P O R T Transparency in the Reporting of Quality for Integrated Data: A Review of International Standards and Guidelines April 27, 2018 John L. Czajka Mathew Stange Submitted to: Internal

More information

KOREA'S EXPERIENCES IN STATISTICAL QUALITY ASSESSMENT

KOREA'S EXPERIENCES IN STATISTICAL QUALITY ASSESSMENT Proceedings of Statistics Canada Symposium 2001 Achieving Data Quality in a Statistical Agency: A Methodological Perspective KOREA'S EXPERIENCES IN STATISTICAL QUALITY ASSESSMENT Dongmyeong Lee, Aelee

More information

Proceedings 59th ISI World Statistics Congress, August 2013, Hong Kong (Session IPS071) p.675

Proceedings 59th ISI World Statistics Congress, August 2013, Hong Kong (Session IPS071) p.675 Proceedings 59th ISI World Statistics Congress, 25-30 August 2013, Hong Kong (Session IPS071) p.675 Quality improvement of administrative registers statistically exploited to generate the indicator-based

More information

Quality Report on the Labour Cost Survey 2012 in Luxembourg

Quality Report on the Labour Cost Survey 2012 in Luxembourg S A V O I R P O U R A G I R SERVICE CENT RAL DE LA ST AT IST IQUE ET DES ET UDES ECONOMIQUES Quality Report on the Labour Cost Survey 2012 in Luxembourg This report has been prepared according to the provisions

More information

Standard Report on Methods and Quality. for Retail Sales Index

Standard Report on Methods and Quality. for Retail Sales Index Standard Report on Methods and Quality for Retail Sales Index This documentation applies to the reporting period: Monthly Updated 19/05/2016 CENTRAL STATISTICS OFFICE Skehard Road, Cork 021 4545000 www.cso.ie

More information

Enhancing Decision Making for the Digital Firm

Enhancing Decision Making for the Digital Firm Chapter 13 OBJECTIVES Enhancing Decision Making for the Digital Firm Describe different types of decisions and the decision-making process Evaluate the role of information systems in helping people working

More information

SUPPLEMENT TO PROPOSED IES 2 (REVISED): MAPPING & TRACKED CHANGES DOCUMENT

SUPPLEMENT TO PROPOSED IES 2 (REVISED): MAPPING & TRACKED CHANGES DOCUMENT SUPPLEMENT TO EXPOSURE DRAFT, PROPOSED IES 2 (REVISED): MAPPING & TRACKED CHANGES DOCUMENT This supplement to the International Accounting Education Standards Board (IAESB) Exposure Draft, Proposed IES

More information

Statistics for Managers Using Microsoft Excel 7 th Edition

Statistics for Managers Using Microsoft Excel 7 th Edition Statistics for Managers Using Microsoft Excel 7 th Edition Chapter 1 Defining & Collecting Data Statistics for Managers Using Microsoft Excel 7e Copyright 2014 Pearson Education, Inc. Chap 1-1 Learning

More information

Standards and processes for integrating metadata in the European Statistical System

Standards and processes for integrating metadata in the European Statistical System UNITED NATIONS ECONOMIC COMMISSION FOR EUROPE CONFERENCE OF EUROPEAN STATISTICIANS Workshop on Statistical Metadata (METIS) (Geneva,Switzerland 5-7 October 2011) Session 5: Topic I: Metadata flows within

More information

Survey frame, sample size and sample design. UN Handbook chapter 4 Sidney Vergouw

Survey frame, sample size and sample design. UN Handbook chapter 4 Sidney Vergouw Survey frame, sample size and sample design UN Handbook chapter 4 Sidney Vergouw Outline of this presentation Some words on the handbook General remarks on precision, sample methods and sample size Consumer

More information