Continuous Quality Improvement in Statistical Agencies

Morganstein, David; Märker, David

doi:10.1002/9781118490013.ch21

Cited by 25 publications

(18 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…But as was pointed out by Morganstein and Marker [14], and previously by Deming [15], to improve quality one must measure process variables rather than just product (output) variables. In the last 10 years many statistical offices have coalesced around a common description of their processes.…”

Section: From Measuring Quality To Improving Qualitymentioning

confidence: 99%

“…Lyberg [23] pointed out how useful CBMs can be. They are described in more detail in Morganstein and Marker [14].…”

Section: Organizational Leadership and Process Improvement Focusmentioning

confidence: 99%

“…In Morganstein and Marker [14] we laid out how one moves from a focus on product characteristics specified (hopefully) by users, to the key processes impacting their quality, and how one measures whether those processes are consistent, and only then can we determine whether they are capable of producing the outputs needed by the NSI. I urge a re-focus on continuously improving quality.…”

Section: Organizational Leadership and Process Improvement Focusmentioning

confidence: 99%

“…Adaptive design is basically the same idea as monitoring process variables that we argued for in Morganstein and Marker [14]. With real-time monitoring of how the data collection is progressing NSIs can react quickly to improve the quality.…”

Section: Adaptive Design: Timeliness and Nonresponse Biasmentioning

confidence: 99%

See 3 more Smart Citations

How have National Statistical Institutes improved quality in the last 25 years?

Märker¹

2017

SJI

Self Cite

View full text Add to dashboard Cite

show abstract

Section: From Measuring Quality To Improving Qualitymentioning

confidence: 99%

“…Lyberg [23] pointed out how useful CBMs can be. They are described in more detail in Morganstein and Marker [14].…”

Section: Organizational Leadership and Process Improvement Focusmentioning

confidence: 99%

Section: Organizational Leadership and Process Improvement Focusmentioning

confidence: 99%

Section: Adaptive Design: Timeliness and Nonresponse Biasmentioning

confidence: 99%

See 2 more Smart Citations

How have National Statistical Institutes improved quality in the last 25 years?

Märker¹

2017

SJI

Self Cite

View full text Add to dashboard Cite

show abstract

“…In the 1990s, many survey organizations, influenced by the Total Quality Management (TQM) movement (Groves and Lyberg 2010), started to work on improvement projects. The importance of using process data (later named paradata; see Couper and Lyberg 2005) to evaluate and control process quality was stressed by Morganstein and Marker (1997).…”

Section: Product Process and Organizational Qualitymentioning

confidence: 99%

A System for Managing the Quality of Official Statistics

Biemer

Trewin

Bergdahl

et al. 2014

Journal of Official Statistics

View full text Add to dashboard Cite

This article describes a general framework for improving the quality of statistical programs in organizations that provide a continual flow of statistical products to users and stakeholders. The work stems from a 2011 mandate to Statistics Sweden issued by the Swedish Ministry of Finance to develop a system of quality indicators for tracking developments and changes in product quality and for achieving continual improvements in survey quality across a diverse set of key statistical products. We describe this system, apply it to a number of products at Statistics Sweden, and summarize key results and lessons learned. The implications of this work for monitoring and evaluating product quality in other statistical organizations are also discussed.

show abstract

Sampling Error

2003

Introduction to Survey Quality

View full text Add to dashboard Cite

Limit of Liability/Disclaimer of Warranty: While the publisher and author have used their best efforts in preparing this book, they make no representations or warranties with respect to the accuracy or completeness of the contents of this book and specifically disclaim any implied warranties of merchantability or fitness for a particular purpose. No warranty may be created or extended by sales representatives or written sales materials. The advice and strategies contained herein may not be suitable for your situation. You should consult with a professional where appropriate. Neither the publisher nor author shall be liable for any loss of profit or any other commercial damages, including but not limited to special, incidental, consequential, or other damages.

show abstract

Continuous Quality Improvement in Statistical Agencies

Cited by 25 publications

References 5 publications

How have National Statistical Institutes improved quality in the last 25 years?

How have National Statistical Institutes improved quality in the last 25 years?

A System for Managing the Quality of Official Statistics

Sampling Error

Contact Info

Product

Resources

About