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Journal articles on the topic 'Goal measurement'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Fuchs, Lynn S., Douglas Fuchs, and Carol L. Hamlett. "Effects of Alternative Goal Structures within Curriculum-Based Measurement." Exceptional Children 55, no. 5 (February 1989): 429–38. http://dx.doi.org/10.1177/001440298905500506.

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This study assessed the effects of alternative goal structures within curriculum-based measurement (CBM) in the area of math. Subjects were 30 special education teachers, assigned randomly to a dynamic goal CBM, static goal CBM, or control group for 15 weeks. Each teacher selected two mildly or moderately handicapped pupils for participation. Analyses of variance conducted on fidelity of treatment measures indicated that dynamic goal teachers increased goals more frequently and, by the study's completion, employed more ambitious goals. Multivariate analyses of covariance indicated that students in the dynamic goal group had better content mastery than did control students, whereas students in the static goal group did not. Content coverage for the three groups was comparable. Implications for special education goal-setting practice are discussed.

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Kim, Soo-Kyung. "Measurement and Treatment Goal of Postprandial Hyperglycemia." Journal of Korean Diabetes 13, no. 1 (2012): 27. http://dx.doi.org/10.4093/jkd.2012.13.1.27.

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3

Castiglione, Lawrence V. "Creativity: Concept to Measurement to Educational Goal." Design For Arts in Education 88, no. 1 (October 1986): 27–32. http://dx.doi.org/10.1080/07320973.1986.9940760.

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4

Maier, E. A., and B. Griepink. "The BCR (Measurement and Testing) programme ? quality of measurements: a European goal." Fresenius' Journal of Analytical Chemistry 348, no. 1-2 (1994): 6–8. http://dx.doi.org/10.1007/bf00321598.

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Nkoro, Emeka, and Aham Kelvin Uko. "Macroeconomic Stabilization Goal, Policy And Instruments." International Journal of Finance & Banking Studies (2147-4486) 6, no. 6 (June 30, 2018): 16. http://dx.doi.org/10.20525/ijfbs.v6i6.858.

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<p><em>This paper gives an overview of the concept of macroeconomic stabilization and, its measurement, goals and policy instruments. It starts with a review of the concept, measurement and goals of macroeconomic policy and, the goals performance measurement. After this, the paper looks at macroeconomic policies and its instruments, and macroeconomic stabilization problems. The next section examines the applicability of the stabilization instruments under various economic conditions and, this section is followed by a conclusion.</em></p>

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Ahmad, Ruzita, Fauziah Baharom, and Azham Hussain. "GOSSEC: Goal Oriented Software Sustainability Evaluation Criteria." JOURNAL OF UNIVERSITY OF BABYLON for Pure and Applied Sciences 27, no. 1 (April 1, 2019): 387–407. http://dx.doi.org/10.29196/jubpas.v27i1.2196.

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The concepts of sustainability is now aware among the software engineering researchers. It has direct and indirect impacts on three dimensions which are environment, economic and social that results from the development and implementation of the software. Although there are studies on software sustainability evaluation that defines the software sustainability criteria unfortunately, most of the studies are focusing on single criterion rather than come out with holistic criteria of software sustainability. Additionally, the studies also focused on what need to be measured instead of how to perform the evaluation systematically. This limitation was occurred due to lack of defining the measurement goal of each criteria of software sustainability dimensions. Therefore, this study aimed to develop a Goal Oriented Software Sustainability Evaluation Criteria and organize the sustainability criteria using Quality Function Deployment. On top of that, the Goal Oriented Software Sustainability Evaluation Criteria has been constructed using Goal Oriented Measurement approach by adapting the Goal Question Metric method to assist in defining the goal that clearly defined the purposes, perspectives, and point of views of measurement of software sustainability. Hence, the Goal Oriented Software Sustainability Evaluation Criteria provides nine (9) goals and thirty four (34) sub goals for measuring the software sustainability criteria and sub criteria. The findings from the study present a set of criteria and measurement goals which can be used for evaluating software sustainability. The criteria were organized into three dimensions which are environment, economic and social.

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Bolsin, S. N., D. Chan, and M. Colson. "Measurement of competence: achievable goal or ‘holy grail’?" British Journal of Anaesthesia 114, no. 6 (June 2015): 867–69. http://dx.doi.org/10.1093/bja/aev142.

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8

Willemse, John. "Improving Interlending through Goal Setting and Performance Measurement." Interlending & Document Supply 21, no. 1 (January 1, 1993): 13–17. http://dx.doi.org/10.1108/02641619310154322.

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The local availability of needed publications is, from most users′ point of view, probably the most appropriate measure of a library′s effectiveness. Although immediate availability is the ideal, interlending offers a way to improve availability over time. With the goal of maximum availability in the shortest possible time, the interlending section of the Unisa Library has developed a number of performance measures to determine its effectiveness. The performance measures were instrumental in targeting problem areas which could contribute to a more effective service by technological and other means. Briefly describes the rationale behind the performance measures and the actual performance attained, as well as the factors contributing towards their improvement.

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9

Wright, Patrick M., Anne M. O'Leary-Kelly, Jose M. Cortina, Howard J. Klein, and John R. Hollenbeck. "On the meaning and measurement of goal commitment." Journal of Applied Psychology 79, no. 6 (December 1994): 795–803. http://dx.doi.org/10.1037/0021-9010.79.6.795.

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Özerdem, Alpaslan. "Happiness as a measurement and goal of peacebuilding." Global Change, Peace & Security 31, no. 3 (May 15, 2019): 303–22. http://dx.doi.org/10.1080/14781158.2019.1610372.

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11

Harwood, Chris, Lew Hardy, and Austin Swain. "Achievement Goals in Sport: A Critique of Conceptual and Measurement Issues." Journal of Sport and Exercise Psychology 22, no. 3 (September 2000): 235–55. http://dx.doi.org/10.1123/jsep.22.3.235.

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This article presents a critical analysis of the conceptualization and measurement of achievement goals in sport. It highlights conceptual and measurement inconsistencies of Nicholls’s (1984) achievement-goal theory in education with respect to its applicability to sport. It proposes that differentiation between ability and effort does not underpin the activation of task and ego goal perspectives in a sport performance context and that the definitions of task and ego involvement in the classroom might not generalize to sport. It offers an alternative conceptual approach incorporating three goal perspectives, as both a theoretical and a practical solution. It addresses goal involvement in sport performance contexts by emphasizing the value of assessing self-referent and normative conceptions of achievement at different time frames. Overall, this critique attempts to advance our understanding of both achievement goals and individual performers in the competitive sport domain.

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Arumugam, Darmindra D., Joshua D. Griffin, Daniel D. Stancil, and David S. Ricketts. "Magneto-Quasistatic Tracking of an American Football: A Goal-Line Measurement [Measurements Corner]." IEEE Antennas and Propagation Magazine 55, no. 1 (February 2013): 138–46. http://dx.doi.org/10.1109/map.2013.6474504.

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CANTONE, GIOVANNI, and PAOLO DONZELLI. "PRODUCTION AND MAINTENANCE OF GOAL-ORIENTED SOFTWARE MEASUREMENT MODELS." International Journal of Software Engineering and Knowledge Engineering 10, no. 05 (October 2000): 605–26. http://dx.doi.org/10.1142/s0218194000000328.

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Production and maintenance of measurement models are crucial in the context of an advanced software development organization. The paper suggests a goal-oriented measurement model life cycle that, starting out from the high-level organizational goals, drives software organizations towards a structured process to deal with measurement models. The life cycle results into an integrated component of the management activities pointed to generate, refine, and fulfill the organizational goals, whereas the final measurement models become items of a purpose fitting measurement plan. For each phase of the life cycle, the main activities, with their inputs and outputs, are identified and, moreover, some driving templates are defined. The paper analyzes their interactions with the other software production and management-related tasks and proposes a possible allocation within an Experience Factory-based software organization.

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Garrod, Rachel. "Self efficacy measurement and goal attainment after pulmonary rehabilitation." International Journal of Chronic Obstructive Pulmonary Disease Volume 3 (December 2008): 791–96. http://dx.doi.org/10.2147/copd.s3954.

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15

Tong, Changzhe, Kai Zhang, Feng Gao, and Jiaojiao Zhang. "Organization-Employee Goal Integration: Conceptualization, Measurement Development and validation." Academy of Management Proceedings 2019, no. 1 (August 1, 2019): 19028. http://dx.doi.org/10.5465/ambpp.2019.19028abstract.

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16

Andrews, Bruce H., John J. Carpentier, and Tracy L. Gowen. "A New Approach to Performance Measurement and Goal Setting." Interfaces 31, no. 3 (June 2001): 44–54. http://dx.doi.org/10.1287/inte.31.3.44.9629.

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Jung, Chan Su. "Organizational Goal Ambiguity and Performance: Conceptualization, Measurement, and Relationships." International Public Management Journal 14, no. 2 (April 2011): 193–217. http://dx.doi.org/10.1080/10967494.2011.589760.

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18

Keleş, Murat. "Evaluation of the clinical chemistry tests analytical performance by using different models and specifications." Turkish Journal of Biochemistry 45, no. 1 (November 29, 2019): 11–18. http://dx.doi.org/10.1515/tjb-2018-0250.

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Abstract Background The importance of managing analytical quality in clinical laboratories is known. Goal-setting models are critical for analytical quality management, along with correctly implemented error models. However, the methods used to determine analytical performance and more importantly, the relevant analytical quality goals are open to discussion. Our aim was to compare the analytical performance characteristics of routine clinical chemistry tests with different goal-setting models which was proposed by various establishments. In addition, to provide a perspective to Turkish total analytical error (TAE) circular letter that compulsory to calculate from 2016. Materials and methods This study was performed by the data obtained from the internal and external quality control of clinical chemistry tests which were measured by Roche Cobas c501 biochemistry analyzer. TAE calculated with TAE% = 1.65 ×(CV%) + Bias% formula. Nordtest uncertainty model was used in the calculation of measurement uncertainty (MU). In this context, total analytical error was evaluated with biological variation (BV), RCPA, CLIA and Turkish allowable total error (ATE) goals. Measurement uncertainty was evaluated with only permissible measurement uncertainty (pU%) goal. Results In our study, RCPA goals are the most stringent, followed by the BVEuBIVAS, BVRicos, pU%, CLIA and finally the ATETurkey goals coming in last. In cumulatively, BVEuBIVAS goals were 18.3% lower than BVRicos for evaluated parameters. Conclusion The balance between applicability and analytical assurance of goals should be well ensured when determining goal-setting models. Circular letter (2016/18) creates awareness to the analytical quality management but still open to development. Biological variation dependent total allowable error model never designed to be used as benchmarks for measurement uncertainty and it is not methodologically appropriate for assessing measurement uncertainty which was estimated by the Nordtest method. Also considered that, the use of “permissible MU” is more methodologically appropriate in the evaluation of measurement uncertainty.

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19

Hollmann, Jelena, Julia Gorges, and Elke Wild. "You Will Attain My Goal." European Journal of Psychological Assessment 34, no. 1 (January 2018): 22–29. http://dx.doi.org/10.1027/1015-5759/a000317.

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Abstract. This paper deals with parental goals for children, that is, goals parents want their children to attain by the time they reach adulthood. Presenting an adaption of the German Aspirations Index to assess parental goals for children (AI-PG), factorial structure and psychometric properties in a nonclinical sample of German parents of children between 10 and 15 years of age were investigated. Parents (NT1 = 948; NT2 = 670) rated the importance of different parental goals for children. The AI-PG structure was first examined in a subsample of mothers using confirmatory factor analyses. Main results provided support for the hypothesized hierarchical factorial structure. Accordingly, the given 21 items can be assigned to seven first-order factors that reflect goal-contents, and two second-order factors that reflect goals’ motivational orientation as either intrinsic or extrinsic. The questionnaire shows good psychometric properties (i.e., homogeneity, model-based reliability, and stability). Multiple-group analyses confirmed measurement invariance across informants (mothers and fathers), gender of target children (daughters and sons), and measurement time points. Small but significant relationships of the scales with need-threatened environment, parenting practices, and child internalizing behavior problems added to the scale’s construct validity. Results are discussed in terms of the fruitfulness of a concept of parental goals for children within self-determination theory.

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20

Theis, Leonie, and Tanja Bipp. "Workplace Goal Orientation." European Journal of Psychological Assessment 36, no. 2 (March 2020): 399–409. http://dx.doi.org/10.1027/1015-5759/a000522.

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Abstract. We investigated the construct and criterion-related validity of workplace goal orientation via two studies. Aiming to extend prior findings on this construct ( Van Dam, 2015 ), in Study 1 ( N = 334), we inspected the predictive role that learning, performance-approach, and performance-avoidance goal orientation at work play in terms of employees’ learning, task, and contextual performance. In Study 2 ( N = 201), we examined the mediating role of proactive behavior concerning the relationship between workplace (learning) goal orientation and performance. First, we found evidence for the three-dimensional structure of the translated and adapted German measurement instrument across two independent samples of employees. Second, we found support for the criterion-related validity of workplace goal orientation for important work-related outcomes. Especially learning goal orientation was positively related to learning and performance outcomes within the work context. Third, we demonstrated that the link between workplace learning goal orientation and performance is mediated by proactive behavior. It therefore seems inevitable for organizations to support the setting and pursuit of learning goals within the workplace to increase the probability of the occurrence of proactive behavior and sustain employees’ high performance and continuous learning.

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21

Stuart, Darwin. "Goal-Setting and Performance Measurement in Transportation Planning and Programming." Journal of Public Transportation 1, no. 2 (January 1997): 49–72. http://dx.doi.org/10.5038/2375-0901.1.2.3.

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22

Prashanthi, Alam, S. Kameswari, R. Rani, and P. Sreedevi. "Measurement of Academic Goal Orientation in Home Science Undergraduate Students." Current Journal of Applied Science and Technology 27, no. 2 (May 8, 2018): 1–7. http://dx.doi.org/10.9734/cjast/2018/40912.

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23

Richter, Wolfgang. "Comparability and recognition of chemical measurement results - an international goal." Fresenius' Journal of Analytical Chemistry 365, no. 7 (November 26, 1999): 569–73. http://dx.doi.org/10.1007/s002160051524.

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24

Klein, Howard J., Michael J. Wesson, John R. Hollenbeck, Patrick M. Wright, and Richard P. DeShon. "The Assessment of Goal Commitment: A Measurement Model Meta-Analysis." Organizational Behavior and Human Decision Processes 85, no. 1 (May 2001): 32–55. http://dx.doi.org/10.1006/obhd.2000.2931.

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25

Åsenlöf, Pernilla, and Kim Siljebäck. "The Patient Goal Priority Questionnaire Is Moderately Reproducible in People With Persistent Musculoskeletal Pain." Physical Therapy 89, no. 11 (November 1, 2009): 1226–34. http://dx.doi.org/10.2522/ptj.20090030.

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BackgroundThe Patient Goal Priority Questionnaire (PGPQ) is a patient-specific measure for identification of behavioral goals and evaluation of clinically significant changes. The use of such a measure in clinical settings and research requires that identified goals be consistent over time. Self-reports of behaviors related to the goals should be reliably estimated.ObjectiveThe purpose of this study was to estimate chance-corrected agreement and test-retest reliability of the PGPQ. Chance-corrected agreement between the PGPQ and a similar therapist-guided goal identification tool, the Patient Goal Priority List (PGPL), also was estimated.DesignA correlative and prospective design with 3 measurement points (M1, M2, and M3) was used in the study.MethodsFifty-four people who consulted physical therapists in primary care for persistent musculoskeletal pain were included in the study. Analyses of chance-corrected agreement and test-retest reliability of the PGPQ were done at M1 and M2. Chance-corrected agreement between procedures (PGPQ and PGPL) also was analyzed at M1 and M3.ResultsThe percentage of agreement on content of the priority lists of the PGPQ at M1 and M2 was 52%. Cohen kappa values for agreement of rankings ranged between .47 and .64. Test-retest reliability coefficients for the self-report scales of the PGPQ ranged from .35 to .81. Chance-corrected agreement decreased when physical therapists were involved in the goal identification process using the PGPL (kappa=.08–.46).LimitationsVarying item content and a small, heterogeneous sample possibly increased variation and the standard error of measurements. The feasibility of using traditional approaches to psychometric evaluation of patient-specific measures is questionable.ConclusionsChance-corrected agreement and test-retest reliability of the PGPQ were moderate. Involving a physical therapist in the goal identification procedure possibly introduced further bias. The size of the measurement error must be taken into account when using the PGPQ for estimations of clinically important changes.

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Renn, Robert W., Carol Danehower, Paul M. Swiercz, and Marjorie L. Icenogle. "Further examination of the measurement properties of Leifer & McGannon's (1986) Goal Acceptance and Goal Commitment Scales." Journal of Occupational and Organizational Psychology 72, no. 1 (March 1999): 107–13. http://dx.doi.org/10.1348/096317999166536.

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Kobayashi, Taiyo, and Shinya Minato. "What Observation Scheme Should We Use for Profiling Floats to Achieve the Argo Goal for Salinity Measurement Accuracy? Suggestions from Software Calibration." Journal of Atmospheric and Oceanic Technology 22, no. 10 (October 1, 2005): 1588–601. http://dx.doi.org/10.1175/jtech1798.1.

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Abstract To meet the Argo Project’s accuracy goal for salinity measurements (±0.01), several measurement schemes for profiling float observations were examined using the standard Argo software calibration for salinity. In this study, salinity calibration errors are evaluated in data series observed by employing several different measurement schemes. In the North Pacific the accuracy goal can be achieved by programming for constant measurements to a depth of 1500 db or more; however, measurements in the mixed water region require the adoption of a scheme that constantly measures salinity profiles to the marginal capability depth of floats (e.g., 2000 db), so that calibration errors can be minimized. In contrast, in the tropical regions of the Pacific and eastern Indian Ocean, 1000-db profiles provide salinity data of sufficient quality. When floats use a Park and Profile scheme, it is recommended that they be programmed to measure deeper profiles every observation cycle. Otherwise, it is impossible to detect and correct suspicious data, such as a salinity jump in which a salinity measurement suddenly differs from previous measurements by ±0.02–0.03 or more.

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Ślusarski, Łukasz. "Measurement accuracy analysis for microgeometry nanostandards with microinterferometer and stylus profilometer." Bulletin of the Military University of Technology 67, no. 4 (December 31, 2018): 139–48. http://dx.doi.org/10.5604/01.3001.0012.8503.

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The goal of the work, described in this paper, was to examine and analyse measurement capabilities of GUM Length and Angle Department in measurements of step height/depth standards with the values below 1 μm (nanostandards), with 2D, and 3D surface characteristics. Measurements were performed with microinterforometer and stylus profilometer. Keywords: nanometrology, depth/height standards, microinterferometry, contact profilometry.

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Tengku Izhar, Tengku Adil, Torab Torabi, and M. Ishaq Bhatti. "An ontology-based goal framework to evaluate the level of the organizational goals achievement." International Journal of Organization Theory & Behavior 20, no. 2 (March 1, 2017): 193–236. http://dx.doi.org/10.1108/ijotb-20-02-2017-b003.

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This paper is about gathering the measurement data and making an effectiveness results to assist decision-making process to evaluate the level of the organizational goals achievement. In order to achieve this aim, we designed GOAL framework as a platform represents five steps for domain experts and entrepreneurs to identify the relevant organizational data to assist decision-making process in relation to the organizational goals. The aim of this paper concentrates on the design of this framework. GOAL framework associated with the organizational goals ontology aim to identify the dependency relationship between organizational goals and dependency relationship between organizational data and organizational goals. Metrics is defined for this dependency to identify which organizational data is relevant to the organizational goals. The framework is flexible to change without affecting things around because the framework is applicable in any organizational data with different organizational goals.

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Russell, Maureen, Amber Nivens, and Lauren Hall. "Progress Measurement in Children With Developmental Disabilities Using Goal Attainment Scaling." American Journal of Occupational Therapy 72, no. 4_Supplement_1 (November 1, 2018): 7211500065p1. http://dx.doi.org/10.5014/ajot.2018.72s1-po8004.

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Jenkins, Joseph, and Kari J. Terjeson. "Monitoring Reading Growth: Goal Setting, Measurement Frequency, and Methods of Evaluation." Learning Disabilities Research & Practice 26, no. 1 (February 2011): 28–35. http://dx.doi.org/10.1111/j.1540-5826.2010.00322.x.

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Cooper, J. A. G., and O. H. Pilkey. "Field measurement and quantification of longshore sediment transport: an unattainable goal?" Geological Society, London, Special Publications 274, no. 1 (2007): 37–43. http://dx.doi.org/10.1144/gsl.sp.2007.274.01.05.

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Teixeira, R., C. Ducourant, G. Chauvin, A. G. O. Krone-Martins, J. F. le Campion, I. Song, and B. Zuckerman. "TW Hydrae astrometric parameters measurement." Proceedings of the International Astronomical Union 3, S248 (October 2007): 508–9. http://dx.doi.org/10.1017/s1743921308019984.

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AbstractThe primary goal of this study was measurement of trigonometric parallaxes and proper motions of a dozen members of the TW Hydrae Association (TWA) that are not present in the Hipparcos catalogue.

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34

MacFeely, Steve. "Measuring the Sustainable Development Goal Indicators: An Unprecedented Statistical Challenge." Journal of Official Statistics 36, no. 2 (June 1, 2020): 361–78. http://dx.doi.org/10.2478/jos-2020-0019.

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AbstractIn March 2017, the United Nations (UN) Statistical Commission adopted a measurement framework for the UN Agenda 2030 for Sustainable Development, comprising of 232 indicators designed to measure the 17 Sustainable Development Goals (SDGs) and their respective 169 targets. The scope of this measurement framework is so ambitious it led Mogens Lykketoft, President of the seventieth session of the UN General Assembly, to describe it as an ‘unprecedented statistical challenge’.Naturally, with a programme of this magnitude, there will be foreseen and unforeseen challenges and consequences. This article outlines some of the key differences between the Millennium Development Goals and the SDGs, before detailing some of the measurement challenges involved in compiling the SDG indicators, and examines some of the unanticipated consequences arising from the mechanisms put in place to measure progress from a broad political economy perspective.

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Hill-Pearce, Ruth E., Aimee Hillier, Eric Mussell Webber, Kanokrat Charoenpornpukdee, Simon O'Doherty, Joachim Mohn, Christoph Zellweger, David R. Worton, and Paul J. Brewer. "Characterisation of gas reference materials for underpinning atmospheric measurements of stable isotopes of nitrous oxide." Atmospheric Measurement Techniques 14, no. 8 (August 9, 2021): 5447–58. http://dx.doi.org/10.5194/amt-14-5447-2021.

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Abstract. The precise measurement of the amount fraction of atmospheric nitrous oxide (N2O) is required to understand global emission trends. Analysis of the site-specific stable isotopic composition of N2O provides a means to differentiate emission sources. The availability of accurate reference materials of known N2O amount fractions and isotopic composition is critical for achieving these goals. We present the development of nitrous oxide gas reference materials for underpinning measurements of atmospheric composition and isotope ratio. Uncertainties target the World Metrological Organisation Global Atmosphere Watch (WMO-GAW) compatibility goal of 0.1 nmol mol−1 and extended compatibility goal of 0.3 nmol mol−1, for atmospheric N2O measurements in an amount fraction range of 325–335 nmol mol−1. We also demonstrate the stability of amount fraction and isotope ratio of these reference materials and present a characterisation study of the cavity ring-down spectrometer used for analysis of the reference materials.

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Wang, Jin Zhu, and Jian Jie Ding. "A Framework for Filtrating Software Measures in Software Measurement Process." Advanced Materials Research 605-607 (December 2012): 2479–82. http://dx.doi.org/10.4028/www.scientific.net/amr.605-607.2479.

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Software measures filtration is important but often been neglected activity in software measurement. A framework for software measures filtration process that not only satisfied measurement goals but also matched organization capability is been presented. In this framework, software measures that get by GQM been evaluated on the evaluation criteria. The fuzzy mathematic expectation has been proposed to calculate measures evaluation value. The algorithm of verify goal achievable has been described. The framework ensures that measures set are most appropriate.

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Guniš, Zdenko, Augustín Görög, and Juraj Vagovský. "The Impact of Alignment Condition in the Measuring Plan by Using the Software Calypso on the Repeatability of Measured Values." Research Papers Faculty of Materials Science and Technology Slovak University of Technology 21, Special-Issue (June 1, 2013): 173–78. http://dx.doi.org/10.2478/rput-2013-0029.

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Abstract The main goal of this publication is to determine the impact of the alignment condition to the repeatability of measured values. In the experimental work were performed four series of measurements, each contains 25 individual measurements on a single component. The component was measured according to the rules for making the comparison of measured values for repeatability. This comparison of measurement results was made by using statistical methods. A given goal was completely fulfilled. Experimental work has shown a dominant impact of the alignment condition on the measured values.

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Hammer, Samuel, Ronny Friedrich, Bernd Kromer, Alexander Cherkinsky, Scott J. Lehman, Harro A. J. Meijer, Toshio Nakamura, et al. "Compatibility of Atmospheric 14CO2 Measurements: Comparing the Heidelberg Low-Level Counting Facility to International Accelerator Mass Spectrometry (AMS) Laboratories." Radiocarbon 59, no. 3 (September 19, 2016): 875–83. http://dx.doi.org/10.1017/rdc.2016.62.

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AbstractCombining atmospheric Δ14CO2 data sets from different networks or laboratories requires secure knowledge on their compatibility. In the present study, we compare Δ14CO2 results from the Heidelberg low-level counting (LLC) laboratory to 12 international accelerator mass spectrometry (AMS) laboratories using distributed aliquots of five pure CO2 samples. The averaged result of the LLC laboratory has a measurement bias of –0.3±0.5‰ with respect to the consensus value of the AMS laboratories for the investigated atmospheric Δ14C range of 9.6 to 40.4‰. Thus, the LLC measurements on average are not significantly different from the AMS laboratories, and the most likely measurement bias is smaller than the World Meteorological Organization (WMO) interlaboratory compatibility goal for Δ14CO2 of 0.5‰. The number of intercomparison samples was, however, too small to determine whether the measurement biases of the individual AMS laboratories fulfilled the WMO goal.

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Burnes, David, and Mark S. Lachs. "The Case for Individualized Goal Attainment Scaling Measurement in Elder Abuse Interventions." Journal of Applied Gerontology 36, no. 1 (July 9, 2016): 116–22. http://dx.doi.org/10.1177/0733464815581486.

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Research available to inform the development of effective community-based elder abuse protective response interventions is severely limited. Elder abuse intervention research is constrained by a lack of research capacity, including sensitive and responsive outcome measures that can assess change in case status over the course of intervention. Given the heterogeneous nature of elder abuse, standard scales can lack the flexibility necessary to capture the diverse range of individually relevant issues across cases. In this paper, we seek to address this gap by proposing the adaptation and use of an innovative measurement strategy—goal attainment scaling—in the context of elder protection. Goal attainment scaling is an individualized, client-centered outcome measurement approach that has the potential to address existing measurement challenges constraining progress in elder abuse intervention research.

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Bova, Demetrio Miloslavo. "Intergenerational Equity and Transitional Inequality Measurement: Techniques and Empirics." European Journal of Sustainable Development 9, no. 2 (June 1, 2020): 129–49. http://dx.doi.org/10.14207/ejsd.2020.v9n2p129.

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This paper discusses the measurement of both the intergenerational equity and the transitional inequality where the latter is a measure of distance to a transitional goal. The issue is relevant especially for ecological sustainability which is the main aspect treated, and can be extended to a set of transitional goals as the Agenda 2030. The empirics show that we had non-sustainable intergenerational equity and that no transition has been performed; therefore, it is hard to believe that there will be no necessity for inequality to reach the intergenerational equity. Keywords: Intergenerational equity; Transitional inequality; Intergenerational equity indicators; Sustainable development indicators

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Eyvindson, Kyle, and Annika Kangas. "Stochastic goal programming in forest planning." Canadian Journal of Forest Research 44, no. 10 (October 2014): 1274–80. http://dx.doi.org/10.1139/cjfr-2014-0170.

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Developing a forest management plan in a multicriteria perspective is traditionally accomplished utilizing simulation and optimization tools as a means to predict and optimize a variety of criteria under consideration. Goal programming is a useful tool to balance conflicting aspects of the competing criteria. When information regarding an aspect of uncertainty is available, stochastic programming should be utilized to efficiently integrate this additional information. Research has been conducted into determining the accuracy of forest inventory methods; however, the measurement error is typically ignored when generating forest management plans. Through integrating the uncertainty in a systematic fashion, the forest management plan can be improved by describing the potential uncertainty in the plan and by managing the influences of this uncertainty. This paper develops three stochastic goal programming formulations and highlights the usefulness of the approach on a small forest holding.

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Harris, Jocelyn E., and Janice J. Eng. "Goal Priorities Identified through Client-Centred Measurement in Individuals with Chronic Stroke." Physiotherapy Canada 56, no. 03 (2004): 171. http://dx.doi.org/10.2310/6640.2004.00017.

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Keats, Emily C., Gary L. Darmstadt, and Zulfiqar A. Bhutta. "Progress on Sustainable Development Goal 5 and improved health through better measurement." SSM - Population Health 9 (December 2019): 100491. http://dx.doi.org/10.1016/j.ssmph.2019.100491.

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Jacob, Jenna, Julian Edbrooke-Childs, Duncan Law, and Miranda Wolpert. "Measuring what matters to patients: Using goal content to inform measure choice and development." Clinical Child Psychology and Psychiatry 22, no. 2 (December 31, 2015): 170–86. http://dx.doi.org/10.1177/1359104515615642.

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Introduction: Personalised care requires personalised outcomes and ways of feeding back clinically useful information to clinicians and practitioners, but it is not clear how to best personalise outcome measurement and feedback using existing standardised outcome measures. Method: The constant comparison method of grounded theory was used to compare goal themes derived from goals set at the outset of therapy for 180 children aged between 4 and 17 years, visiting eight child and adolescent mental health services, to existing standardised outcome measures used as part of common national datasets. Results: In all, 20 out of 27 goal themes corresponded to items on at least one commonly used outcome measure. Discussion: Consideration of goal themes helped to identify potential relevant outcome measures. However, there were several goal themes that were not captured by items on standardised outcome measures. These seemed to be related to existential factors such as understanding, thinking about oneself and future planning. Conclusion: This presents a powerful framework for how clinicians can use goals to help select a standardised outcome measure (where this is helpful) in addition to the use of a goal-based outcome measure and personalise choices. There may be areas not captured by standardised outcome measures that may be important for children and young people and which may only be currently captured in goal measurement. There is an indication that we may not be measuring what is important to children and young people. We may need to develop or look for new measures that capture these areas.

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Bulterman-Bos, Jacquelien, Nico Verloop, Jan Terwel, and Wim Wardekker. "Reconciling the Pedagogical Goal and the Measurement Goal of Evaluation: The Perspectives of Teachers in the Context of National Standards." Teachers College Record 105, no. 3 (April 2003): 344–74. http://dx.doi.org/10.1111/1467-9620.00243.

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Jamaludin, Jamaludin. "Uji Validitas, Struktur Internal, dan Measurement Invariance pada Alat Ukur Achievement Goal Orientation." Jurnal Pengukuran Psikologi dan Pendidikan Indonesia (JP3I) 8, no. 2 (November 26, 2019): 140–55. http://dx.doi.org/10.15408/jp3i.v8i2.13331.

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AbstractAchievement goal orientation (AGO) is the goal orientation to achieve achievement. This study aims to explore information about the achievement goal orientation (AGO) measurement tool. This study combines two AGO measurements (original and revised) developed by Midgley et al (1998, 2000) based on the Manual for the patterns of adaptive learning scales (PALS). In this study only measured two of the three dimensions analyzed, namely AGO performance and AGO mastery. The sample in this study amounted to 544 people from three junior high schools in West Jakarta. Twenty-one items (10 items AGO performance and 11 items AGO mastery) were tested for validity, internal structure, and invariance measurement. The results of the validity of the CFA found that AGO performance and AGO mastery were not appropriate to measure the dimensions of AGO. Based on the results of internal structure analysis, the bifactor model is more valid and appropriate in measuring AGO performance and AGO mastery. The results of the Bifactor AGO performance analysis are divided into factors of "doing your best" and "looking smart" while AGO mastery is divided into "liking the task" and "understanding the task". There are only five AGO performance items and seven unidimensional AGO mastery items. In the inter-gender validity test, it was found that men are oriented towards AGO performance while women are oriented towards AGO mastery. MGCFA analysis results that AGO performance is valid up to the metric invariance stage while AGO mastery is not invariance.AbstrakAchievement goal orientation (AGO) adalah orientasi tujuan untuk mencapai prestasi. Penelitian ini bertujuan untuk mengeksplorasi informasi mengenai alat ukur achievement goal orientation (AGO). Penelitian ini menggabungkan dua pengukuran AGO (original dan direvisi) yang dikembangkan oleh Midgley et al (1998, 2000) berdasarkan Manual for the patterns of adaptive learning scales (PALS). Pada penelitian ini hanya mengukur dua dari tiga dimensi yang dianalisis yaitu AGO performance dan AGO mastery. Sampel pada penelitian ini berjumlah 544 orang dari tiga sekolah menengah pertama di Jakarta Barat. Keduapuluh satu item (10 item AGO performance dan 11 item AGO mastery) diuji validitas, struktur internal, dan measurement invariance. Hasil validitas CFA ditemukan bahwa AGO performance dan AGO mastery tidak sesuai mengukur dimensi AGO. Berdasarkan hasil analisis struktur internal, model bifaktor lebih valid dan sesuai dalam mengukur AGO performance dan AGO mastery. Hasil analisis bifaktor AGO performance terbagi menjadi faktor “melakukan yang terbaik” dan “terlihat pintar” sedangkan AGO mastery terbagi menjadi “menyukai tugas” dan “memahami tugas”. Hanya terdapat lima item AGO performance dan tujuh item AGO mastery yang bersifat unidimensional. Pada uji validitas antar gender, dihasilkan bahwa laki-laki berorientasi pada AGO performance sedangkan perempuan berorientasi pada AGO mastery. Analisis MGCFA dihasilkan bahwa AGO performance valid sampai tahap metric invariance sedangkan AGO mastery tidak invariance.

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Alivernini, Fabio, Sara Manganelli, and Fabio Lucidi. "Personal and Classroom Achievement Goals: Their Structures and Relationships." Journal of Psychoeducational Assessment 36, no. 4 (November 24, 2016): 354–65. http://dx.doi.org/10.1177/0734282916679758.

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This study examines the factor structures of Personal and Classroom Achievement Goals and the relationships between them. Multilevel structural equation modeling was used to examine data from a sample of 3,544 Italian 10th-grade students (184 classrooms) who completed the Patterns of Adaptive Learning Scales (PALS). Findings about the factor structure of personal goals were consistent with studies in other cultural contexts. The scales showed measurement invariance both across gender and across various immigrant backgrounds. Boys showed lower levels of mastery and higher levels of performance-approach than girls. Immigrant students scored higher than the native students on all Performance scales. At the group level, a measurement model including mastery and performance-approach goal structures showed good fit indices. In classrooms more oriented toward mastery, students’ personal goals tend to be in the same direction. Classroom performance-approach goal structures were related to performance-avoidance personal orientations but not to performance-approach personal orientations.

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Puspaningrum, Ajeng Savitri, Siti Rochimah, and Rizky Januar Akbar. "Functional Suitability Measurement using Goal-Oriented Approach based on ISO/IEC 25010 for Academics Information System." Journal of Information Systems Engineering and Business Intelligence 3, no. 2 (October 28, 2017): 68. http://dx.doi.org/10.20473/jisebi.3.2.68-74.

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Abstract— Rapid of information technology development grow a new competitive environment. Including higher education, they need to improve their service quality in order to provide education service in more competitive. One of the ways of using information technology in higher education is the used of Academic Information System (AIS). AIS was developed to achieve the goals of the learning process which is one of vision and mission organization success factor. The measurement is needed to evaluate the quality of AIS. Functionality is one of the quality factors which is measured by observing the correlation between function and functional suitability. In this study, the quality of AIS functional suitability is measured using goal-oriented approach base on ISO/IEC 25010 in the perspective of a lecturer. The strategic plan of an institution is used as a reference to measure if the system used to have meet institution goals when using this approach. The result shows that the measurement using goal-oriented approach become more objective and suitable to the need of used AIS quality improvement for the institution than the measurement with ISO/IEC 25010 only. Keywords— Academic Information System, Functional Suitability, GQM, ISO/IEC 25010

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Rhoden, Clare Louise, Julia West, Andrew Renfree, Mark Corbett, and Alan St Clair Gibson. "Micro-oscillations in positive and negative affect during competitive laboratory cycle time trials – a preliminary study." South African Journal of Sports Medicine 26, no. 1 (March 20, 2014): 20. http://dx.doi.org/10.17159/2413-3108/2014/v26i1a406.

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Background. By incorporating pre-performance or retrospective recall measurement methods, research has shown positive (PA) and negative affect (NA) to operate as both a precursor to, and as a consequence of performance in line with goal achievement. The extent of this affective change within sport is unclear, as measurement of affect within acute settings has yet to be adopted fully.Objective. To conduct exploratory research examining affect and goal achievement during self-paced cycling to understand further their role during performance.Methods. The positive and negative affect schedule (PANAS), Worcester affect scale (WAS) and ratings of goal achievement were completed by seven trained cyclists prior to two separate 20 km laboratory time trials. The WAS and ratings of goal achievement were also rated during each trial.Results. Micro-oscillations in affect occurred throughout time trials and to a greater degree where participants were unsuccessful in reaching their goals. Successful trials were characterised by higher PA (p=0.000) and lower NA (p=0.000), with higher goal expectations from the start (p=0.008).Conclusion. In unsuccessful trials, an overly aggressive start, perhaps due to inaccurate goal setting, led to an inability to maintain performance, with reductions in power output. Further clarification of the catalyst to the performance demise requires a parallel analysis of psychological and physiological parameters. In so doing, a greater understanding of the combined role of affect and goal expectation in pacing and performance will ensue; a benefit to both cyclist and coach alike.

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Tsen Yi Ching, Elcy, Chin Kim on, Rayner Alfred, Mohd Hanafi Ahmad Hijazi, and Tan Tse Guan. "An Android Mobile-based Measurement Application – Object and Interior Room Measurement App." International Journal of Interactive Mobile Technologies (iJIM) 14, no. 20 (December 11, 2020): 135. http://dx.doi.org/10.3991/ijim.v14i20.15415.

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The conventional and most common way to measure the interior of a room is using a measuring tape and other similar tools. However, it is not productive and often more than one worker is required to assist the measurement process. The goal of this study is to discuss the acceptability and usability of Android-based measurement mobile app designed for interior designers, civil engineer designers and water pipe workers. The user can take the measurement of the traditional form of the interior room from the image captured and to give the result of the area of space from the measurement taken from the image. The developed mobile app includes a virtual screen ruler to measure the approximate length and width of the room. This can be achieved by having a reference scale from the user and the camera lens must be focused at the study points. The result is then calculated from the video stream through the camera. The data obtained is then formulated in the area in order to obtain the result of the space area. The user will receive the results on the display screen as soon as the calculation is carried out. Later, the results revealed that, while not part of the original research goal, the applications can also be used to calculate the height and length of an object. Finally, an extended review of the mobile app is provided, which shows its high applicability and user acceptability.

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