Книги: "Data quality indicators"

1

Bank, World. The development data book: A guide to social and economic statistics : with a comprehensive data table. 3rd ed. Washington, D.C: World Bank, 1995.

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2

Association, American Nurses', ed. Nursing quality indicators: Guide for implementation. 2nd ed. Washington, D.C: American Nurses Association (600 Maryland Ave., S.W., Washington D.C. 20024-2571), 1999.

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3

United Nations Research Institute for Social Development., ed. Qualitative indicators and development data: Current concerns and priorities. Geneva, Switzerland: The Institute, 1991.

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4

Population Research Centre (Institute for Social and Economic Change). Assessing the quality of district data for improved planning and monitoring of development programmes. New Delhi: United Nations Population Fund, 2011.

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5

United States. Forest Service. Northern Research Station, ed. FIA national assessment of data quality for forest health indicators. Newtown Square, PA: U.S. Dept. of Agriculture, Forest Service, Northern Research Station, 2009.

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6

Stanton, Cynthia. DHS maternal mortality indicators: An assessment of data quality and implications for data use. Calverton: Macro International, 1997.

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7

Noureddine, Abderrahim, Hill Ken 1945-, and Macro International. Institute for Resource Development. Demographic and Health Surveys, eds. DHS maternal mortality indicators: An assessment of data quality and implications for data use. Calverton, Md: Macro International, Inc., 1997.

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8

Office, General Accounting. Vietnam economic data: Assessment of availability and quality : report to Congressional requesters. Washington, D.C. (P.O. Box 37050 Washington, D.C. 20013): The Office, 1999.

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9

Nezlek, John B. Community health & resource data guide 2000. [Richmond, Va: Dept. of Health, 2000.

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10

Commission, European, and Statistical Office of the European Communities., eds. Living conditions in Europe: Statistical pocketbook : data 1998-2002. 2nd ed. Luxembourg: Office for Official Publications of the European Communities, 2004.

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11

Brandon, William P. Understanding community health status: A commentary on the health and demographic data in 1993 Charlotte/Mecklenburg quality of life indicators. Charlotte, NC: Policy House, University of North Carolina at Charlotte, 1995.

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12

United Nations Research Institute for Social Development. Development data constraints and the human development index. Geneva: United Nations Research Institute for Social Development, 1991.

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13

Seikatsu Jōhō Sentā, Kabushiki Kaisha., ed. Nipponjin no kurashi no tōkei 2003 =: Statistical data on lifestyle of Japanese 2003. Tōkyō: Seikatsu Jōhō Sentā, 2003.

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14

I, Houtman, and European Foundation for the Improvement of Living and Working Conditions., eds. Indicators of working conditions in the European Union. Loughlinstown, Co. Dublin, Ireland: European Foundation for the Improvement of Living and Working Conditions, 1997.

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15

Inc, Joint Commission Resources, ed. Managing performance measurement data in health care. Oakbrook Terrace, IL: Joint Commission on Accreditation of Healthcare Organizations, 2008.

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16

H, Brandt Karla, and Corvallis Environmental Research Laboratory, eds. Impacts on quality of inland wetlands of the United States: A survey of indicators, techniques, and applications of community-level biomonitoring data. Corvallis, Or: USEPA Environmental Research Laboratory, 1990.

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17

H, Brandt Karla, and Corvallis Environmental Research Laboratory, eds. Impacts on quality of inland wetlands of the United States: A survey of indicators, techniques, and applications of community-level biomonitoring data. Corvallis, Or: USEPA Environmental Research Laboratory, 1990.

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18

G, Taylor John. Guide to the first generation of Nordic level of living surveys: A report of the NDFSI project (Nordic Data Services for Social Indicators), which was sponsored by the NOS-S and carried out at the DDA in the period 1980-1982. Odense: Danish Data Archives, 1985.

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19

Brightbill, Robin A. Relations of biological indicators to nutrient data for lakes and streams in Pennsylvania and West Virginia, 1990-98. New Cumberland, Pa: U.S. Dept. of the Interior, U.S. Geological Survey, 2003.

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20

Brightbill, Robin A. Relations of biological indicators to nutrient data for lakes and streams in Pennsylvania and West Virginia, 1990-98. New Cumberland, Pa: U.S. Dept. of the Interior, U.S. Geological Survey, 2003.

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21

World Health Organization (WHO). Monitoring the building blocks of health systems: A handbook of indicators and their measurement strategies. Geneva: World Health Organization, 2010.

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22

Will-Wolf, Susan. Analyzing lichen indicator data in the Forest Inventory and Analysis Program. Portland, OR: U.S. Dept. of Agriculture, Forest Service, Pacific Northwest Research Station, 2010.

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23

Bowling, Ann. Measuring health: A review of quality of life measurement scales. Milton Keynes [England]: Open University Press, 1991.

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24

Stead, Stanley W. PQRI: Physicians' guide to implementing Medicare's Physician Quality Reporting Initiative : an insider's view, 2008. [Chicago, Ill.]: American Medical Association, 2008.

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25

Bailey, Patsy. Monitoring emergency obstetric care: A handbook. Geneva, Switzerland: World Health Organization, 2009.

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26

M, Arnold Carol, and Olson Craig M, eds. Clinical outcomes in home health care: A guide to performance measurement and ORYX implementation. Gaithersburg, MD: Aspen Publishers, 1998.

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27

Dlugacz, Yosef D. Measuring Health Care. New York: John Wiley & Sons, Ltd., 2006.

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28

Association, American Medical, ed. PQRI: Physicians' guide to implementing Medicare's Physician Quality Reporting Initiative : an insider's view, 2007. Chicago, Ill.]: American Medical Association, 2007.

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29

L, Smith D., ed. Primary health care reviews: Guidelines and methods. Geneva: World Health Organization, 1992.

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30

Samantha, Lobis, Fortney Judith, Maine Deborah, Family Health International (Organization), Joseph L. Mailman School of Public Health. Averting Maternal Death and Disability, UNICEF, United Nations Population Fund, and World Health Organization, eds. Monitoring emergency obstetric care: A handbook. Geneva, Switzerland: World Health Organization, 2009.

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31

Kristen, Lewis, and Martins Eduardo Borges, eds. The measure of America: American human development report, 2008-2009. New York: Columbia University Press, 2008.

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32

Spirin, Yuriy, Sergey Zotov, Evgeniy Krasnov, and Nadezhda Cvetkova. Polder watercourses: research methods and geoecological assessment. ru: INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1903343.

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The monograph describes research methods and geoecological assessment of polder lands. The history of research and practical use of surface waters of the Kaliningrad region is characterized, modern problems of their geoecological state are revealed. The characteristic of polder lands as complex natural and economic systems is given, the necessity of geoecological studies of the catchments of small rivers located on them is substantiated. A methodological approach has been developed to assess the geoecological condition of the basins of small watercourses through the combined analysis of hydrological, hydrochemical and geoecological data. Hydrological calculations of the key characteristics of the river flow of small watercourses of polder lands were carried out, the dependencies between them were revealed. Field studies were carried out, hydrochemical data sets were obtained on the rivers of polder lands for four hydrological seasons of 2020-2021. Retrospective hydrochemical information has been processed. The prevailing pollutants, integral indicators of water quality and the main sources of pollution are calculated. Based on the results obtained, a scheme of spatial distribution of pollution of the river network of polder lands is constructed. The geoecological condition of the basins is assessed on the basis of a complex of natural and anthropogenic data; based on the result obtained, recommendations for its improvement are given. It is of interest to specialists in the field of geoecology, hydrology, hydrochemistry, environmental management and environmental protection.

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33

Riley, John A. A comparison of multivariate statistical analysis and the use of an indicator ion for the interpretation of water quality data. Moscow, ID: University of Idaho, 1990.

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34

L, Millman Michael, ed. Access to health care in America. Washington, D.C: National Academy Press, 1993.

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35

Hayes, Rick, Philip Wallage, and Peter Eimers. Principles of International Auditing and Assurance. NL Amsterdam: Amsterdam University Press, 2021. http://dx.doi.org/10.5117/9789463720069.

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The first textbook based upon International Standards on Auditing (ISAs), this fully revised and updated fourth edition presents a structured approach to auditing principles using ISAs as its basis. The International Standards on Auditing are now widely regarded as the global benchmark for auditing standards and as such an important audit quality indicator. This book describes the developments and practical use of all ISAs, as well as significant national standards in different countries. The new edition has been updated in line with International Standards and presents a truly International perspective. The book provides students with a real-world perspective as close to current auditing practice and thinking as possible. Key features: Structure of the book following the four phases of the audit process Coverage of the latest auditing insights including technology and automated tools & techniques (data analytics) Updates of the most recent auditing & assurance standards, including ISA 315 and 540 Highlighting the broader range of assurance engagements Practice exam-style questions with end-of-chapter answers And take a look at the book website here, for more information and extra materials for both tutors and students.

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36

Gugerty, Mary Kay, and Dean Karlan. Collecting High-Quality Data. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780199366088.003.0007.

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Without high-quality data, even the best-designed monitoring and evaluation systems will collapse. Chapter 7 introduces some the basics of collecting high-quality data and discusses how to address challenges that frequently arise. High-quality data must be clearly defined and have an indicator that validly and reliably measures the intended concept. The chapter then explains how to avoid common biases and measurement errors like anchoring, social desirability bias, the experimenter demand effect, unclear wording, long recall periods, and translation context. It then guides organizations on how to find indicators, test data collection instruments, manage surveys, and train staff appropriately for data collection and entry.

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37

Monitoring Patient Progress Using Indicators to Evaluate Quality Manul. Thomson Delmar Learning, 2000.

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38

Dlugacz, Yosef D. Measuring Health Care: Using Quality Data for Operational, Financial, and Clinical Improvement. Wiley & Sons, Incorporated, John, 2012.

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39

Dlugacz, Yosef D. Measuring Health Care: Using Quality Data for Operational, Financial, and Clinical Improvement. Wiley & Sons, Incorporated, John, 2009.

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40

(Editor), Isis Montalvo, and Nancy Dunton (Editor), eds. Transforming Nursing Data into Quality Care: Profiles of Quality Improvement in U.S. Healthcare Facilities. American Nurses Association, 2007.

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41

Anheier, Helmut K. Governance Indicators. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198817062.003.0001.

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This chapter provides an introduction to the volume and an overview of the emergence of the field of governance indicators over more than two decades. It takes stock of the field’s advancement in terms of the breadth and depth of indicators and indices covering a range of governance-related topics from democracy to corruption to basic rights, as well as and in terms of data availability and quality, methods, and analytical tools. The outcome has been the establishment of a veritable indicators industry. At the same time, the chapter highlights some of the key challenges facing the field as it develops further, particularly with regard to the connections between indicators and theory and between producers and users.

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42

Regan, Patrick M. A Perceptual Approach to Quality Peace. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190680121.003.0003.

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This chapter tackles the problem of finding data-derived indicators to measure the quality of peace, versus a definition of peace simply as the absence of war. Conceptually, peace is seen as an equilibrium condition where resort to violence is minimal and where the highest quality of peace exists when the idea of armed violence approaches the unthinkable. The author draws upon the early work of Quincy Wright and Kenneth Boulding and progresses from there, establishing first their definitions of and conditions for peace. To put his theories to work, he introduces two proxy indicators: black market currency exchanges and bond market prices. Specifically, he examines and compares the premiums attached to the black market values of currencies in less stable economies and relates them to factors that promote destabilization of the equilibrium. Similarly, he compares the strip spreads on sovereign bonds as an indicator of government stability and instability.

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43

Anheier, Helmut K., Matthias Haber, and Mark A. Kayser, eds. Governance Indicators. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198817062.001.0001.

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As difficult as it might seem to define governance, it appears to be that much more difficult to measure it. Since the World Bank Institute launched the Worldwide Governance Indicators in the late 1990s, the governance indicators field has flourished and experienced significant advances in terms of methodology, data coverage and quality, and policy relevance. Other major initiatives have added to a momentum that propelled research on governance indicators seen in few other academic fields in the economic and social sciences. Given these developments and the prominence and policy relevance the field of governance indicator research has achieved, the time is ripe to take stock and ask what has been accomplished, what the shortcomings and potentials might be, and what steps present themselves as a way forward. This volume—the fifth edition in an annual series tackling different aspects of governance around the world—assesses what has been achieved, identifies strengths and weaknesses of current work, and points to issues that need to be tackled in order to advance the field, both in its academic importance as well as in its policy relevance. In short, the contributions to this volume explore the scope of existing governance indices and indicator frameworks, elaborate on current challenges in measuring and analysing governance, and consider how to overcome them.

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44

Impacts on quality of inland wetlands of the United States: A survey of indicators, techniques, and applications of community-level biomonitoring data. Corvallis, Or: USEPA Environmental Research Laboratory, 1990.

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45

Mukherjee, Joia S. Monitoring, Evaluation, Disease Surveillance, and Quality Improvement. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190662455.003.0010.

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Quality data are necessary to make good decisions in health delivery for both individuals and populations. Data can be used to improve care and achieve equity. However, systems for health data management were historically weak in most impoverished countries. Health data are not uncommonly compiled in stacks of poorly organized paper records. Efforts to streamline and improve health information discussed in this chapter include patient-held booklets, demographic health surveys, and the use of common indicators. This chapter also focuses on the evolution of medical records, including electronic systems. The use of data for monitoring, evaluation, and quality improvement is explained. Finally, this chapter reviews the use of frameworks—such as logic models and log frames—for program planning, evaluation, and improvement.

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46

Osimo, David. The Opportunities and Limitations of Crowdsourcing Policy Indicators. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198817062.003.0008.

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This chapter aims to explore how crowdsourcing can be used for gathering data in the context of governance indicators. Crowdsourcing has been applied in recent years to many human activities, from analysing galaxies to reviewing consumer products, but governance indicators can appear too technical for non-experts to participate in. The chapter begins by illustrating the traditional challenges in data collection. It then analyses a set of real-life cases of policy crowdsourcing to understand the benefits and risks that crowdsourcing entails. Based on these cases, the chapter illustrates how crowdsourcing can help address some of the core challenges of data collection for governance indicators, and in particular it extracts key lessons learned and recommendations. It concludes that crowdsourcing can be helpful provided it is carefully designed and focuses on the quality, rather than quantity, of contributions.

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47

The Wellbeing of Nations: A Country-by-Country Index of Quality of Life and the Environment. Island Press, 2001.

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48

Measuring health care: Using data for operational, financial, and clinical improvement. San Francisco: Jossey-Bass, 2006.

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49

Bowling, Ann. Measuring Health. 3rd ed. Open University Press, 2004.

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