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Books on the topic 'Goal measurement'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

H, Clark John. Escapement goal review for Kenai River late-run sockeye salmon: Report to the Alaska Board of Fisheries, January 2005. Anchorage: Alaska Dept. of Fish and Game, Division of Sport Fish, Research and Technical Services, 2007.

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2

1968-, Grant Leslie W., ed. Student achievement goal setting: Using data to improve teaching and learning. Larchmont, NY: Eye On Education, 2008.

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3

Apgar, David. Relevance: Hitting your goals by knowing what matters. San Francisco: Jossey-Bass, 2008.

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4

Alternative sulfur dioxide removal measurement for coal gasification project goals: Report (to accompany S. 645). [Washington, D.C: U.S. G.P.O., 2007.

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United States. Congress. Senate. Committee on Energy and Natural Resources. Alternative sulfur dioxide removal measurement for coal gasification project goals: Report (to accompany S. 645). [Washington, D.C: U.S. G.P.O., 2007.

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6

Otis, Edward O. Escapement goals for salmon stocks in lower Cook Inlet, Alaska. Anchorage: Alaska Dept. of Fish and Game, Division of Sport Fish, Research and Technical Services, 2004.

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7

Panel, United States National Education Goals. The National education goals report: Building the best : summary guide. Washington, DC: NEGP Communications, 1993.

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8

United States. National Education Goals Panel. The national education goals report: Building a nation of learners. Washington, D.C. (1850 M St., N.W., Suite 270, Washington 20036): National Education Goals Panel, 1993.

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9

Service, Educational Testing, ed. The assessment of national educational goals: Proceedings of the 1990 ETS Invitational Conference. Princeton, N.J: Educational Testing Service, 1991.

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10

Panel, United States National Education Goals. The national education goals report: Building a nation of learners 1997. [Washington, D.C.]: National Education Goals Panel, 1997.

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11

The national education goals report: Building a nation of learners 1996. Washington, D.C: National Education Goals Panel, 1996.

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12

United States. National Education Goals Panel. The national education goals report: Building a nation of learners 1998. [Washington, D.C.]: National Education Goals Panel, 1998.

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United States. National Education Goals Panel. The national education goals report: Building a nation of learners 1995. [Washington, D.C.]: National Education Goals Panel, 1995.

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14

Measuring progress toward the National Education Goals: Public testimony. [Washington, D.C.?]: National Education Goals Panel, 1991.

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15

Shaul, Leon D. Escapement goals for coho salmon counted in aggregate surveys in the Ketchikan and Sitka areas. Anchorage: Alaska Dept. of Fish and Game, Division of Sport Fish, Research and Technical Services, 2006.

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16

Clark, Robert A. Stock status and recommended escapement goals for coho salmon in selected waters along the Juneau road system, 1981-2004. Anchorage: Alaska Dept. of Fish and Game, Division of Sport Fish, Research and Technical Services, 2005.

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17

Prince, Cynthia D. The national education goals report for Kansas: Building a nation of learners. Washington, D.C. (1255 22nd St., NW, Suite 502, Washington 20037): National Education Goals Panel, 1998.

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18

Prince, Cynthia D. The national education goals report for Kansas: Building a nation of learners. Washington, D.C: National Education Goals Panel, 1998.

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19

United States. National Education Goals Panel., ed. The national education goals report for Kansas: Building a nation of learners. Washington, D.C. (1255 22nd St., NW, Suite 502, Washington 20037): National Education Goals Panel, 1998.

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20

Jolliffe, Dean. A measured approach to ending poverty and boosting shared prosperity: Concepts, data, and the twin goals. Washington, DC: World Bank Group, 2015.

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21

United States. National Education Goals Panel. The national education goals report: Executive summary : improving education through family-school-community partnerships. Washington, DC (1255 22nd St., N.W., Suite 502, Washington 20037): National Education Goals Panel, 1995.

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22

United States. National Education Goals Panel. The national education goals report: Executive summary : improving education through family-school-community partnerships. Washington, DC (1255 22nd St., N.W., Suite 502, Washington 20037): National Education Goals Panel, 1995.

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23

McCarney, Stephen B. Adaptive behavior intervention manual: 4-12 years: Goals, objectives and intervention strategies for adaptive behavior. Columbia, MO: Hawthorne Educational Services Inc., 2006.

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24

McCarney, Stephen B. Adaptive behavior intervention manual: 13-18 years: Goals, objectives and intervention strategies for adaptive behavior. Columbia, MO: Hawthorne Educational Services Inc., 2006.

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25

The national education goals report: Summary 1997 : mathematics and science achievement for the 21st century. [Washington, D.C: National Education Goals Panel, 1997.

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26

Lawrence, Leslie. Talking about tests: An idea book for state leaders. Washington, DC (1255 22nd St., NW, Suite 502, Washington 20037): National Education Goals Panel, 1998.

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27

Achieving nutrient and sediment reduction goals in the Chesapeake Bay: An evaluation of program strategies and implementation. Washington, D.C: National Academies Press, 2011.

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28

J, Kiresuk Thomas, Smith Aaron 1930-, and Cardillo Joseph E, eds. Goal Attainment Scaling: Applications, theory, and measurement. Hillsdale, N.J: L. Erlbaum Associates, 1994.

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29

(Editor), Thomas J. Kiresuk, Aaron Smith (Editor), and Joseph E. Cardillo (Editor), eds. Goal Attainment Scaling: Applications, Theory, and Measurement. Lawrence Erlbaum, 1994.

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30

Rose, Sage, and Nicole Sieben. Hope Measurement. Edited by Matthew W. Gallagher and Shane J. Lopez. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780199399314.013.7.

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This chapter covers the multiple measures currently used to assess hope theory. Hope, as theorized by Snyder and colleagues, was originally determined to be a global construct measuring agency and pathways toward goal attainment. Using much of the original theory, hope research has expanded, resulting in multiple measures across different applications and domains. By exploring the context specificity, these scales have been shown to consistently predict outcomes across differing domains, supporting the reliability and validity of new hope measurement. It is anticipated that with more specific hope measurement, the more accurate hope assessment and intervention can become. Concepts covered in this chapter include academic hope, math hope, writing hope, work hope, children’s hope, employment hope, and state hope.

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31

Ragin, Charles C. Measurement Versus Calibration: A Set‐Theoretic Approach. Edited by Janet M. Box-Steffensmeier, Henry E. Brady, and David Collier. Oxford University Press, 2009. http://dx.doi.org/10.1093/oxfordhb/9780199286546.003.0008.

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This article distinguishes between ‘measurement’ and ‘calibration’. It is organized around the distinction between measurement and calibration. The main message of this article is that fuzzy sets, unlike conventional variables, must be calibrated. It also argues that fuzzy sets provide a middle path between quantitative and qualitative measurement. It explores the common measurement practices in quantitative and qualitative social research. It then further demonstrates that fuzzy sets resonate with both the measurement concerns of qualitative researchers, where the goal often is to recognize between relevant and irrelevant variation, and the measurement concerns of quantitative researchers, where the goal is the precise placement of cases relative to each other. Current practices in quantitative social science undercut serious attention to calibration. Set-theoretic analysis without careful calibration of set membership is an exercise in futility.

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32

Procurement Executives' Association (U.S.) and United States. Dept. of Commerce, eds. Guide to a balanced scorecard: Performance management methodology : moving from performance measurement to performance management. [Washington, D.C: U.S. Dept. of Commerce, 1998.

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33

Procurement Executives' Association (U.S.) and United States. Dept. of Commerce., eds. Guide to a balanced scorecard: Performance management methodology : moving from performance measurement to performance management. [Washington, D.C: U.S. Dept. of Commerce, 1998.

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34

Karoly, Paul. A Goal-Centered, Self-Regulatory Model of Motivation and Its Relevance for Advancing the Study of Chronic Pain. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190627898.003.0001.

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This chapter presents an account of goal constructs and of self-regulatory processes as critical mediators and/or moderators of chronic pain’s effects on diverse aspects of human performance and adjustment. The joint influence of goal cognition and the assorted mechanisms of self-regulation provides a unique platform for adaptive failure or vulnerability when operating at low levels of effectiveness and efficiency, and for adaptive resilience when functioning at its peak. Organized around a motivational model dubbed the Goal-Centered, Self-Regulatory, Automated, Social Systems Psychology (GRASSP) perspective, the chapter considers the nature, functioning, and measurement of goals and a variety of potentially supportive regulatory mechanisms. Illustrating the explanatory and heuristic potency of a motivational framework, the chapter addresses both the deleterious effects of persistent pain on goal-related thinking and striving and the facilitative role of effective goal-based self-regulation in maintaining day-to-day performance and well-being in the face of chronic pain.

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35

Subramanian, S. The Quintile Income Statistic and Distributional Analysis. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198812555.003.0005.

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This chapter discusses a seemingly very elementary indicator of welfare called the ‘quintile income statistic’ whose maximization has been advanced by Kaushik Basu as one plausible and important goal of an economy’s development. Some possible interpretations of the statistic and the uses to which it can be put in distributional analysis—with particular reference to the conceptualization and measurement of money-metric poverty and inequality—are explored. The indicator suggests aspects of both diagnosis and remedy of poverty and inequality which do not emerge from an application of conventional methods of measurement. It is concluded that seemingly simple though it is the quintile income statistic has many interesting insights to offer into issues of social measurement and economic policymaking.

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36

Kanfer, Ruth, and Gina M. Bufton. Job Loss and Job Search: A Social-Cognitive and Self-Regulation Perspective. Edited by Ute-Christine Klehe and Edwin van Hooft. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199764921.013.002.

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This chapter reviews social-cognitive and self-regulatory perspectives on involuntary job loss and subsequent job search. We begin by organizing different social-cognitive and self-regulatory perspectives along the temporal continuum of job loss and job search, and discuss the experience of job loss and its impact on the individual during subsequent job search. Using a motivational/self-regulatory frame, we then review findings related to goal generation and goal striving and outline important considerations for research design, including temporal, social, and measurement issues. Finally, we highlight the successes that have been made in the field thus far, and provide suggestions for promising future research avenues.

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37

Locher, Alexandra. Resource Measurements and Mapping: A Goal-Based Approach. Cognella Academic Publishing, 2016.

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38

Streiner, David L., Geoffrey R. Norman, and John Cairney. Measuring change. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199685219.003.0011.

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Although the goal of many clinical assessments and research studies is to measure how much people change between two occasions, the measurement of change is fraught with conceptual and methodological difficulties. One of the difficulties is that there are (at least) two different reasons to measure change: to determine if intervention had any effect, and to identify the correlates of change. These two goals work against each other, because the former requires there to be little difference in the amount of change among people in the same group, while the latter depends on inter-individual differences. The chapter also discusses various biases that exist when people are asked directly how much they think they have changed. This chapter addresses the issues of the relationship of change to the reliability of the scale, difficulties of measuring change in experimental and quasi-experimental studies, and new approaches to measuring change, such as growth curve analysis.

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39

Standards-Based Classroom: Make Learning the Goal. Corwin Press, 2018.

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40

Bloos, Frank, and Konrad Reinhart. Mixed and central venous oxygen saturation monitoring in the ICU. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199600830.003.0134.

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Haemodynamic resuscitation should target goals that reflect the tissue oxygen needs of an individual patient. Venous oximetry may be such a tool. Oxygen saturation of blood in the pulmonary artery contains venous blood from the whole body and is referred to as mixed oxygen saturation (SvO2). Measurement of oxygen saturation in blood obtained from a central venous catheter is referred to as central venous oxygen saturation (ScvO2). Both values are not identical since a catheter placed into the superior vena cava only represents venous blood draining the upper body. While it is not possible, in the clinical setting, to predict SvO2 from ScvO2, changes in SvO2 are adequately mirrored by changes in ScvO2. Post-operative patients and patients admitted to intensive care with a low ScvO2 show a higher morbidity and mortality. Early goal-directed therapy (EGDT) combines several haemodynamic goals into a treatment algorithm, including a ScvO2 target. However, recent studies do not support the systematic use of this protocolized approach. A normal value of SvO2 or ScvO2 saturation does not always exclude tissue hypoxia, since it is not possible to identify an inadequate oxygen supply in single organs. A further limitation of this technique is that organ dysfunction can progress, or serum lactate increases, despite normal or even increased venous oximetry values.

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41

Pascual, Eliseo, and Francisca Sivera. Laboratory investigations in gout. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780199668847.003.0042.

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Gout is a consequence of hyperuricaemia and the treatment goal is to dissolve the crystals by reducing serum urate levels. The first section of this chapter focuses on laboratory investigations on gout, reviewing serum urate levels and its determinants, methods of measurement, and urate renal handling. Additionally it reviews the use of inflammatory markers and synovial fluid cell counts. The second section of the chapter deals with the identification of monosodium urate and calcium pyrophosphate crystals in synovial fluid. It reviews the use of an optic microscope fitted with polarized filters and an analyser. A clear step-by-step process with useful tips is provided.

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42

Adam, Sheila, Sue Osborne, and John Welch. Cardiovascular problems. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780199696260.003.0005.

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The cardiovascular chapter discusses the physiology, assessment, and treatment of cardiovascular disorders in the critically ill patient. It gives an in-depth explanation of non-invasive and invasive monitoring procedures (such as ECG, pulse oximetry, oesophageal Doppler, and pulmonary artery catheterization). It includes the measurement of oxygen delivery and consumption, and explains diagnostic techniques such as echocardiography. The chapter includes the management and optimization of goal-directed therapies for specific conditions including coronary heart disease (such as myocardial infarction and angina), shock, valvular heart disease, and heart failure. Interventional treatment and specific drug therapy are discussed, including percutaneous coronary intervention, cardiac pacing, and electrical conversion.

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43

Sattler, Barbara M. Aristotle’s Measurement Dilemma. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780198805762.003.0007.

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This paper has two main goals: first, it reconstructs Aristotle’s account of measurement in the Metaphysics and shows how it connects to modern notions of measurement. Second, it demonstrates that Aristotle’s notion of measurement works only for simple measures, and leads him into a dilemma once it comes to measuring complex phenomena, such as motion, where two or more different aspects, such as time and space, have to be taken into account. This is shown with the help of Aristotle’s reaction to one of the problems that Zeno’s dichotomy paradox raises: Aristotle implicitly employs a complex measure of motion when solving this problem, while he explicitly characterizes the measure of motion as a simple measure in the Physics.

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44

McManus, Kevin R. Vital Signs, Scorecards, and Goals: The Power of Meaningful Measurement. Great Systems, 2015.

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45

Alexandrova, Anna. A Philosophy for the Science of Well-Being. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780199300518.001.0001.

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Well-being, happiness, and quality of life are now established objects of social and medical research. Does this science produce knowledge that is properly about well-being? What sort of well-being? The definition and measurement of these objects rest on assumptions that are partly normative, partly empirical, and partly pragmatic, producing a great diversity of definitions depending on the project and the discipline. This book, written from the perspective of philosophy of science, formulates principles for the responsible production and interpretation of this diverse knowledge. Traditionally, a philosopher’s goal has been a single concept of well-being and a single theory about what it consists in. But for science this goal is both unlikely and unnecessary. Instead the promise and authority of the science depends on it focusing on the well-being of specific kinds of people in specific contexts. Sceptical arguments notwithstanding, this contextual well-being can be measured in a valid and credible way—but only if scientists broaden their methods to make room for normative considerations and address publicly and inclusively the value-based conflicts that inevitably arise when a measure of well-being is adopted. The science of well-being can be normative, empirical, and objective all at once, provided that we line up values to science and science to values.

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46

Apgar, David. Relevance: Hitting Your Goals by Knowing What Matters. Wiley & Sons, Incorporated, John, 2008.

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47

Relevance: Hitting Your Goals by Knowing What Matters. Jossey-Bass, 2008.

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48

Measure What Matters: Reconnecting Marketing to Business Goals. Visionedge Marketing Inc., 2004.

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49

Peskin, Michael E. Concepts of Elementary Particle Physics. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198812180.001.0001.

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This is a textbook of elementary particle physics whose goal is to explain the Standard Model of particle interactions. Part I introduces the basic concepts governing high-energy particle physics: elements of relativity and quantum field theory, the quark model of hadrons, methods for detection and measurement of elementary particles, methods for calculating predictions for observable quantitites. Part II builds up our understanding of the strong interaction from the key experiments to the formulation of Quantum Chromodynamics and its application to the description of evetns at the CERN Large Hadron Collider. Part III build up our understanding of the weak interaction from the key experiments to the formulation of spontaneously broken gauge theories. It then describes the tests and extensions of this theory, including the precision study of the W and Z bosons, CP violation, neutrino mass, and the Higgs boson.

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50

Shockley, Kristen M., and Winny Shen. Couple Dynamics. Edited by Tammy D. Allen and Lillian T. Eby. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199337538.013.10.

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Drawing from disciplines as varied as sociology, economics, psychology, family studies, political science, demography, and women’s studies, research on the division of labor comes from a rich, interdisciplinary tradition. Despite obvious links between division of paid and unpaid labor between spouses and work–family variables, particularly around issues of gender and parenthood, organizational scholars have been largely absent from this conversation. The purpose of this article, therefore, is to synthesize the recent division of labor literature, focusing on research from the past decade and a half (2000–2014), with the goal of highlighting connections between division of labor research and theories, constructs, and questions of interest to organizational scholars to facilitate integration and future research. Specifically, this article reviews common measurement methods, theoretical perspectives, correlates (antecedents and consequences), and macroor cross-national (i.e., values and policies) influences on the division of labor.

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