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Journal articles on the topic 'Quantitative Research Evaluation'

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1

McAweeney, Mary J., and Robert Heinrich. "Steps for Evaluating and Interpreting Quantitative Research." Journal of Applied Rehabilitation Counseling 27, no. 1 (March 1, 1996): 57–61. http://dx.doi.org/10.1891/0047-2220.27.1.57.

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All rehabilitation professionals should attain basic competencies in evaluating the design, methodology, and statistical validity of published or proposed research studies. Evaluation of rehabilitation counseling research is becoming more important as health care reform demands that rehabilitation professionals demonstrate the efficacy of their practices. This article presents fifteen criteria for use in critically evaluating rehabilitation research, and is intended for use in the evaluation of published research and in planning future research studies. The elements of a research article are discussed in detail, with examples provided. Several recommendations are made to improve the clinical usefulness of quantitative research conducted in rehabilitation counseling.
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2

Han, Hai‐Chao. "Quantitative Evaluation of Faculty Research Productivity." Department Chair 32, no. 1 (June 2021): 20–21. http://dx.doi.org/10.1002/dch.30399.

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3

Zang, Wen Long. "Research of Information Security Quantitative Evaluation Method." Applied Mechanics and Materials 513-517 (February 2014): 369–72. http://dx.doi.org/10.4028/www.scientific.net/amm.513-517.369.

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Information security risk assessment is an important component of information system security engineering. Adopting the combination of qualitative and quantitative to qualitative evaluation method, based on the theory of fuzzy membership, every assessment indicator can be quantized with the method of integration of the qualitative to the quantitative. And adopting the objective method of fuzzy transformation to try to eliminate the initiative judgments, thus to ensure that the information security assessment is truly reflected, and solving such problems as the data collection in the process of information security evaluation, the combination of qualitative and quantitative evaluation, which are both very difficult to deal with. Consequently, the evaluation method is more scientific, comprehensive and maneuverability.
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4

Vladimir, Klistorin. "The quantitative evaluation in socio-economic research." Ideas and Ideals 2, no. 4 (December 21, 2015): 96–106. http://dx.doi.org/10.17212/2075-0862-2015-4.2-96-106.

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5

Livingstone, F. "Solid mechanics research for quantitative nondestructive evaluation." NDT International 21, no. 5 (October 1988): 361–62. http://dx.doi.org/10.1016/0308-9126(88)90228-3.

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6

Kostoff, Ronald N. "Quantitative/qualitative federal research impact evaluation practices." Technological Forecasting and Social Change 45, no. 2 (February 1994): 189–205. http://dx.doi.org/10.1016/0040-1625(94)90093-0.

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7

Wade, Victoria, Adrian G. Barnett, Melinda Martin-Khan, and Trevor Russell. "Designing quantitative telemedicine research." Journal of Telemedicine and Telecare 23, no. 9 (October 27, 2016): 786–91. http://dx.doi.org/10.1177/1357633x16671240.

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When designing quantitative trials and evaluation of telehealth interventions, researchers should think ahead to the intended way that the intervention could be implemented in routine care and consider how trial participants with similar characteristics to the target population can be included. The telehealth intervention and the context in which it is placed should be clearly described, and consideration given to conducting pragmatic trials in order to show the effect of telehealth in complex environments with rapidly changing technology. Types of research designs, comparators and outcome measures are discussed and common statistical issues are introduced.
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8

Zhu, Hong Zhang, and Ji Bo Hu. "Research on Model of Comprehensive Fuzzy Assessment of Projects Post Evaluation." Advanced Materials Research 261-263 (May 2011): 566–70. http://dx.doi.org/10.4028/www.scientific.net/amr.261-263.566.

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We generally use methods of statistical forecasting and antithesis in projects post evaluation, but they can only be used as a qualitative evaluation but as a quantitative evaluation. Based on the fuzzy mathematics, this text presents a better quantitative mathematical analysis-fuzzy comprehensive evaluation method. And then, it established a model of comprehensive fuzzy assessment of projects post evaluation. At last, it illustrate that the model of comprehensive fuzzy assessment can evaluate projects post evaluation accurately and quantitatively.
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9

Achenbach, J. D., Y. Rajapakse, and A. K. Gautesen. "Solid Mechanics Research for Quantitative Non-Destructive Evaluation." Journal of Applied Mechanics 55, no. 1 (March 1, 1988): 252–53. http://dx.doi.org/10.1115/1.3173654.

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10

Gross Cohn, Elizabeth, Haomiao Jia, and Elaine Larson. "Evaluation of Statistical Approaches in Quantitative Nursing Research." Clinical Nursing Research 18, no. 3 (May 15, 2009): 223–41. http://dx.doi.org/10.1177/1054773809336096.

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11

Li, Haitao, Guo Yu, Yanru Chen, and Dongming Zhang. "Research on Quantitative Evaluation Methods and Influencing Factors of Natural Gas Reservoir Development." Shock and Vibration 2021 (December 31, 2021): 1–15. http://dx.doi.org/10.1155/2021/1684178.

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Current methods of evaluating the effects of gas reservoir exploitation primarily focus on evaluating production statistics of a well or field, and they often have a certain subjectivity. In order to further analyze key indexes that affect a gas reservoir during production, this paper considered the characteristic parameters of different types of gas reservoirs and established an index system of evaluating a gas reservoir “exploitation effect” from the three aspects of gas reservoir characteristics, rock characteristics, and economic benefits. There are numerous factors affecting the exploitation effect of a gas reservoir. The relationships between different factors are complicated, and the evaluation result of each factor can also be vague. A fuzzy optimization theoretical model for gas reservoir evaluation and optimization was established on the basis of a quantitative study on the evaluation parameters in fuzzy mathematics. In order to clearly understand the influence of each factor on the gas reservoir exploitation effect, numerical simulation was used to perform a multifactor numerical simulation study of the quantitative sensitivity to determine the sequence of different influencing factors in terms of influencing the gas reservoir exploitation effect. This study provides a quantitative scientific basis for the evaluation of gas reservoir exploitation effect.
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12

Smith, Justin D., and Mohamed Hasan. "Quantitative approaches for the evaluation of implementation research studies." Psychiatry Research 283 (January 2020): 112521. http://dx.doi.org/10.1016/j.psychres.2019.112521.

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13

SÜRÜCÜ, Lütfi, and Ahmet MASLAKÇI. "VALIDITY AND RELIABILITY IN QUANTITATIVE RESEARCH." Business & Management Studies: An International Journal 8, no. 3 (September 25, 2020): 2694–726. http://dx.doi.org/10.15295/bmij.v8i3.1540.

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The Validity and Reliability of the scales used in research are essential factors that enable the research to yield beneficial results. For this reason, it is useful to understand how the Reliability and Validity of the scales are measured correctly by researchers. The primary purpose of this study is to provide information on how the researchers test the Validity and Reliability of the scales used in their empirical studies and to provide resources for future research. For this purpose, the concepts of Validity and Reliability are introduced, and detailed explanations have been provided regarding the main methods used in the evaluation of Validity and Reliability with examples taken from the literature. It is considered that this study, which is a review, will attract the attention of researchers.
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14

Lee-Han, H., G. Cooke, and N. F. Boyd. "Quantitative evaluation of mammographic densities." European Journal of Cancer Prevention 4, no. 4 (August 1995): 285–92. http://dx.doi.org/10.1097/00008469-199508000-00003.

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15

OHNUMA, Tetsuya, Masaya KAWAMURA, and Hironori IWASAKI. "Research evaluation in the US and Europe-Status of research evaluation system and utilization of quantitative methods-." Journal of Information Processing and Management 43, no. 2 (2000): 138–45. http://dx.doi.org/10.1241/johokanri.43.138.

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16

Helmer, Sven, David B. Blumenthal, and Kathrin Paschen. "What is meaningful research and how should we measure it?" Scientometrics 125, no. 1 (August 5, 2020): 153–69. http://dx.doi.org/10.1007/s11192-020-03649-5.

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Abstract We discuss the trend towards using quantitative metrics for evaluating research. We claim that, rather than promoting meaningful research, purely metric-based research evaluation schemes potentially lead to a dystopian academic reality, leaving no space for creativity and intellectual initiative. After sketching what the future could look like if quantitative metrics are allowed to proliferate, we provide a more detailed discussion on why research is so difficult to evaluate and outline approaches for avoiding such a situation. In particular, we characterize meaningful research as an essentially contested concept and argue that quantitative metrics should always be accompanied by operationalized instructions for their proper use and continuously evaluated via feedback loops. Additionally, we analyze a dataset containing information about computer science publications and their citation history and indicate how quantitative metrics could potentially be calibrated via alternative evaluation methods such as test of time awards. Finally, we argue that, instead of over-relying on indicators, research environments should primarily be based on trust and personal responsibility.
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17

UMEMURO, Hiroyuki, Jun KOTANI, and Takao ENKAWA. "Research on quantitative evaluation method for actuator and indicator configuration." Japanese journal of ergonomics 32, no. 6 (1996): 311–18. http://dx.doi.org/10.5100/jje.32.311.

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18

Ruegg, Rosalie T. "Quantitative portfolio evaluation of US federal research and development programs." Science and Public Policy 34, no. 10 (December 1, 2007): 723–30. http://dx.doi.org/10.3152/030234207x259021.

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19

Li Hehua, Wu Chunling, Wei Wei, and Ran Ran. "Research on Vulnerability Identification and Quantitative Evaluation of Operating System." International Journal of Digital Content Technology and its Applications 7, no. 6 (March 31, 2013): 137–44. http://dx.doi.org/10.4156/jdcta.vol7.issue6.16.

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20

Ottenbacher, K. J. "Quantitative Evaluation of Multiplicity in Epidemiology and Public Health Research." American Journal of Epidemiology 147, no. 7 (April 1, 1998): 615–19. http://dx.doi.org/10.1093/oxfordjournals.aje.a009501.

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21

Gretzel, Ulrike, Yeong‐Hyeon Hwang, and Daniel R. Fesenmaier. "Informing destination recommender systems design and evaluation through quantitative research." International Journal of Culture, Tourism and Hospitality Research 6, no. 4 (October 5, 2012): 297–315. http://dx.doi.org/10.1108/17506181211265040.

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22

Jones, Stephen C., and Dongfeng Lu. "The evaluation of quantitative autoradiogram processing systems for cerebrovascular research." Journal of Neuroscience Methods 24, no. 1 (May 1988): 11–25. http://dx.doi.org/10.1016/0165-0270(88)90029-5.

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23

Dennis, Michael L., David M. Fetterman, and Lee Sechrest. "Integrating qualitative and quantitative evaluation methods in substance abuse research." Evaluation and Program Planning 17, no. 4 (October 1994): 419–27. http://dx.doi.org/10.1016/0149-7189(94)90042-6.

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24

Pinar, Mehmet, and Emre Unlu. "Determinants of quality of research environment: An assessment of the environment submissions in the UK’s Research Excellence Framework in 2014." Research Evaluation 29, no. 3 (March 17, 2020): 231–44. http://dx.doi.org/10.1093/reseval/rvaa003.

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Abstract One of the assessed research elements in the UK’s Research Excellence Framework (REF) exercise in 2014 was the research environment. The quality of the research environment was assessed by expert peer reviewers who were given a set of quantitative factors to support their decision making. However, there is no systematic procedure to integrate this quantitative information into the evaluation process. This article evaluates the relevance of quantitative factors in explaining the assessed quality of the research environment. Findings suggest submitting units with high external research income generation tend to have a better research environment evaluation in almost all the assessed subject areas. The importance given by reviewers to similar quantitative factors was distinctively different in two units of assessment (UoA) in which the evaluation criteria were the same, which highlights the internal inconsistency of the peer review evaluation. Our findings also confirm the existence of the ‘halo effect’ in some UoA where submitting units that belong to the Russell group and have sub-panel members in the REF exercise obtained higher scores even after controlling for the assessed quantitative factors.
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25

Jin, Hang, Guodong Meng, Yanhua Hu, Pengyu Jia, Wenxin Jiang, and Shuifen Zhan. "Research on Quantitative Evaluation of Post Safety Competency of Port Operators." E3S Web of Conferences 257 (2021): 02087. http://dx.doi.org/10.1051/e3sconf/202125702087.

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This study took one subsidiary company of a certain domestic port group as a sample. Through job hazard source analysis, job demand analysis, open questionnaire survey, literature review, etc., the characteristics of post safety competency were collected and analyzed, and through statistical analysis of the sample data of the target positions, the reliability and validity analysis of the principal component analysis of the job competency characteristic elements were carried out to optimize and determine the theoretical model and its core characteristic elements, so as to establish the framework of the safety competency characteristic model of the target positions and form the post safety competency evaluation index system. Based on the objective weighting theory analysis method of system dynamics, the entropy weight of each level assessment index was calculated by using the information entropy of key post sample population, and then the weight of each level assessment index was corrected by the entropy value. According to the security requirements of mooring line workers, this paper carried out the theory of multilevel fuzzy comprehensive evaluation, the matrix model of multi-level safety fuzzy evaluation was established, and the fuzzy comprehensive evaluation was used for the third-level index, second-level index and first-level index successively, so that the comprehensive evaluation result of each level can be obtained respectively, and port operators’ post safety competency can also be quantitatively evaluated.
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26

Jin, Wangming, and Zhulin Wang. "Research and Application of Quantitative Evaluation Method based on Product Quality Characteristics." BCP Business & Management 17 (February 23, 2022): 84–90. http://dx.doi.org/10.54691/bcpbm.v17i.374.

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The current situation of enterprise product quality evaluation is analyzed in this paper, and a set of quantitative evaluation methods based on product quality characteristics in response to the existing problems is proposed. The specific evaluation process is defined, and the steps such as determining product category, identifying quality characteristics, developing evaluation Indicators, carrying out evaluation work, overall quality evaluation and application of evaluation results are introduced in detail. Practice has proved that this method can scientifically analyze and evaluate the individual products and overall quality level of enterprises, can be applied in enterprise quality assessment, quality improvement and macro decision-making, and effectively improve the quality management ability of enterprises.
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27

Kifor, Claudiu Vasile, Magdalena Crângaău, Alina Lungu, and Baral Lal Mohan. "Research Evaluation In Engineering Schools." Balkan Region Conference on Engineering and Business Education 1, no. 1 (August 15, 2014): 431–36. http://dx.doi.org/10.2478/cplbu-2014-0071.

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AbstractThe term “research evaluation” defines the endeavours of quantitative and/or qualitative analysis of the research results, performed by a research unit (e.g.: department, centre, research school). Among the decisions based on the evaluation’s results, the most important are formulation of strategies and funding. The decision-factors in higher education require a broad range of information to help build policies, to allow strategies development. This information is used for marketing purposes: helps at recruiting students and researchers, at establishing research partnerships and supports philanthropic liaisons. The research presented in the paper addressed for the first time the researcher view in the research evaluation process and can be used by policies makers if combined with stakeholders’ view (funding agencies, industry etc.) in order to have a realistic view on priorities in this field at national level.
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28

Rossi, Peter H. "Advances in quantitative evaluation, 1987-1996." New Directions for Evaluation 1997, no. 76 (September 1997): 57–68. http://dx.doi.org/10.1002/ev.1087.

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29

Tiţă, Silviu-Mihail. "Measuring Scientific Research Performance of Romanian Public Research Entities." International Journal of Sustainable Economies Management 1, no. 4 (October 2012): 52–66. http://dx.doi.org/10.4018/ijsem.2012100106.

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In this period, the science sector plays a strategic role to increase the economic growth of countries and for this reason the measure and evaluation of research performance of its units (public research institutes) is needed. The most model for evaluate research is based on peer review, but when this method in Romania become inefficient the alternative was quantitative model One of the quantitative model is RELEV. The author used this model to evaluate more than 100 Romanian research entities: National Research Institutes, Universities, Research institutes of the Romanian Academy, Medical Units and Companies.
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30

Liu, Lin, Ning Zhang, and Yongfang Jian. "Transnational Power Grid Interconnection Potential Evaluation Model and Empirical Research." E3S Web of Conferences 118 (2019): 02033. http://dx.doi.org/10.1051/e3sconf/201911802033.

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The paper sets up the two-tier screening evaluation model of potential of transnational grid interconnection that includes the mutual complementation potential model and environmental evaluation model. This two-tier screening evaluation model introduces quantitative index and applies it to the full coverage analysis and calculation of the countries along the “Belt and Road”. The combination of qualitative and quantitative analysis forms a complete evaluation system from interconnection potential calculation to electricity investment environment. The empirical analysis demonstrates the effectiveness of two-tier screening evaluation model where the analysis result may serve as the scientific reference of promoting grid interconnection of the countries along the “Belt and Road”.
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31

O'Connor, Thomas St James, Elizabeth Meakes, Karen-Anne Fox, Glenn Empey, and Kathleen O'Neill. "Quantitative and Qualitative Outcome Research on a Regional Basic Supervised SPE Program." Journal of Pastoral Care 51, no. 2 (June 1997): 195–206. http://dx.doi.org/10.1177/002234099705100207.

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Discusses issues in the evaluation of supervised pastoral education (SPE) programs. Explains four ways of applying triangulation in developing an accurate evaluation of SPE and presents a case study of an SPE program evaluated through triangulation. Offers suggestions about the use of triangulation in SPE program evaluation.
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32

Sesar, Kristina, and Arta Dodaj. "Methods used for evaluation of psychotherapy treatment." Archives of Psychiatry and Psychotherapy 24, no. 4 (December 20, 2022): 53–61. http://dx.doi.org/10.12740/app/151881.

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One of the goals of research in the field of psychotherapy is to improve knowledge about processes and outcomes of psychotherapeutic treatments. Researchers and professionals have been discussing the best methods for evaluating the effectiveness and efficiency of psychotherapeutic treatments for many years. This paper aims to give an overview of the specifics of quantitative and qualitative research methods, by noting the advantages and disadvantages of these methods in the evaluation of psychotherapeutic treatments. Within the quantitative scientific research, three approaches are described: randomized controlled research, mood enhancement by psychoanalytic and cognitive therapies, and meta-analysis. The most common collection methods (observation, interview, other verbal techniques and visual approaches to data collection) and data analysis (comprehensive process analysis, consensual qualitative research and grounded theory) are described within a qualitative scientific methodology. Finally, an approach related to integration of qualitative and quantitative methodology, as well as this related with application of case studies in the evaluation of psychotherapeutic treatments are described. Scientists and professionals in the field of social sciences should use both quantitative and qualitative research methods, separately or in combination, depending on the goal and problems of the research.
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33

Figueredo, Márcia Cançado. "Research proposal: quantitative and qualitative evaluation of the ART in infants." Journal of Applied Oral Science 14, spe (2006): 20–24. http://dx.doi.org/10.1590/s1678-77572006000700005.

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The accomplishment of the Atraumatic Restorative Treatment (ART) approach during the early childhood may represent a remarkably less traumatic and less expensive therapeutic choice. The purpose of this study is to investigate the mothers' perceptions about the ART technique in the oral health/disease process of their children diagnosed with Early Childhood Caries (ECC), and to evaluate the clinical performance of the atraumatic restorations placed in these children at six-, twelve- and twenty-four-month intervals.
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34

Roessner, D. "Quantitative and qualitative methods and measures in the evaluation of research." Research Evaluation 9, no. 2 (August 1, 2000): 125–32. http://dx.doi.org/10.3152/147154400781777296.

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35

Francisco, Vincent T., Frances D. Butterfoss, and Ellen M. Capwell. "Key Issues in Evaluation: Quantitative and Qualitative Methods and Research Design." Health Promotion Practice 2, no. 1 (January 2001): 20–23. http://dx.doi.org/10.1177/152483990100200105.

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36

Bressi, Sara K. "Review of Social work research and evaluation: Quantitative and qualitative approaches." Psychiatric Rehabilitation Journal 29, no. 1 (2005): 83–84. http://dx.doi.org/10.1037/h0094509.

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37

LIU, Lu, Wen-an ZHOU, and Jun-de SONG. "Quantitative and qualitative research on service quality evaluation system in NGN." Journal of China Universities of Posts and Telecommunications 16, no. 5 (October 2009): 71–77. http://dx.doi.org/10.1016/s1005-8885(08)60271-x.

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38

Hicks, Leslie. "Book Review: Social Work Research and Evaluation: Quantitative and Qualitative Approaches." Journal of Social Work 6, no. 1 (April 2006): 81–82. http://dx.doi.org/10.1177/1468017306062226.

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39

Barsky, Allan Edward. "Book Review: Social work research and evaluation: Quantitative and qualitative approaches." Research on Social Work Practice 15, no. 3 (May 2005): 223. http://dx.doi.org/10.1177/1049731505275016.

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40

赵, 宇昂. "Quantitative Research on Teaching Quality Evaluation Index Based on Text Mining." Advances in Applied Mathematics 11, no. 12 (2022): 8598–604. http://dx.doi.org/10.12677/aam.2022.1112906.

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41

Cui, He Rui, and Zhao Wei Xuan. "Research of Evaluation Indicators about Electric Power Enterprise Marketing." Advanced Materials Research 121-122 (June 2010): 512–18. http://dx.doi.org/10.4028/www.scientific.net/amr.121-122.512.

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Along with the deepening reform in power system, Electric Power Enterprise Marketing Management becomes an important management tool to ensure the effective operation of power enterprises. In this paper, on the basis of relevant principles, we have developed a market economy to adapt to the current situation of the development, marketing, and service sectors of the Power Marketing Strategy. At the same time, we designed to power enterprise marketing performance evaluation index system. And we introduced the quantitative analysis of power marketing effectiveness: AHP, according to the power of quantitative analysis method to evaluate and analyze marketing results.
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42

Yuan, Chun Yi, Wen Yu Li, and Le Yi Zhao. "Research on Post Evaluation System of Scenic Highway and Quantitative Evaluation with Interval Approximation Method." Applied Mechanics and Materials 505-506 (January 2014): 637–44. http://dx.doi.org/10.4028/www.scientific.net/amm.505-506.637.

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To promote the demonstration and guidance effect of scenic highway with the project post evaluation, this paper studied the concept of harmony scenic highway and built a Scenic Highway harmony evaluation system which takes highway road area harmony, human road harmony and highway external environmental harmony as core indexes. Scenic highway harmony evaluation method based on interval approximation was adopted to post evaluate typical demonstration scenic highway in Hebei. The practicability of the scenic highway harmony evaluation method based on interval approximation was verified.
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43

Liu, Weixin, Xiaolei Zhang, Yajie Zhuang, Yang Ding, Xiaojian Liu, and Jijun Yang. "Research on Power Sensing Data Quality Assessment Method Based on Hierarchical Analysis Method." Journal of Physics: Conference Series 2427, no. 1 (February 1, 2023): 012009. http://dx.doi.org/10.1088/1742-6596/2427/1/012009.

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Abstract Various types of sensors deployed in power networks are susceptible to bad weather, intrinsic defects, and other effects to produce missing, duplicate, and other abnormal data, which reduces the accuracy of equipment condition evaluation results. Power sensing data is an important way for operation and maintenance personnel to understand the status of the equipment, but there is less research on data quality assessment. This paper addresses this deficiency, designs evaluation rules based on sorting out data characteristics, and constructs a quantitative data evaluation model based on the hierarchical analysis method. Based on the model in this paper, the data quality assessment of the measured micro-meteorological sensor data is carried out, and the data scores are given quantitatively. The conclusions of this paper show that the constructed quantitative data assessment model can effectively achieve sensing data quality scoring, which can assist operation and maintenance personnel in understanding the status of sensing equipment.
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44

Pei, Jingjing, Lu Liu, Ying Chi, and Chengyang Yu. "Research on the Maturity Evaluation Model of Enterprise Safety Culture." International Journal of Environmental Research and Public Health 20, no. 3 (February 1, 2023): 2664. http://dx.doi.org/10.3390/ijerph20032664.

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To regulate the safety behavior of employees and improve the occupational safety level of enterprises. Based on the perspective of safety culture, this paper designed an index system based on the four dimensions of safety concept, system, behavior, and physical culture, and it explored a new quantitative assessment method of safety culture level by introducing the concept of maturity into the evaluation of safety culture using the grey fuzzy comprehensive evaluation method. Combining the characteristics of enterprise safety culture, safety culture was divided into five levels, including original level, starting level, development level, completion level, and leading level, and the maturity model of enterprise safety culture was established. Finally, taking an enterprise to be evaluated as an example, the evaluation steps and application of evaluation results were introduced. The results showed that the evaluation model of enterprise safety culture maturity constructed in this paper provides systematic measurement indexes and scientific evaluation methods for evaluating the safety culture maturity of enterprises.
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Chen, Lin, Hang Tong, Zheng Liu, Zhi Zhang, and Pengfei Mou. "Research on Quantitative Calculation Method of Accident Scope of Gathering and Transportation Station." Energies 15, no. 24 (December 14, 2022): 9476. http://dx.doi.org/10.3390/en15249476.

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In order to ensure the security and stability of oilfield gathering and transportation stations and to improve the risk assessment method, this paper proposes an evaluation method that can fully and quantitatively calculate the impact range of process equipment and pipelines in the event of fire and explosion accidents based on API 581-2016 Quantitative Risk Assessment Technology. It mainly analyzes and calculates the leakage type, leakage rate and total leakage amount, combined with the occurrence probability of various failure situations, the casualty area and the fact that equipment damage could be finally determined. In addition, PHAST Software is used to verify this method. The average deviation of the calculation results is very small, which shows that the method is completely feasible and accurate. In order to further correct the error, specific correction methods and formulas are also proposed. This theoretical calculation method greatly improves the quantitative evaluation method of oil field gathering and transportation stations, and lays a solid foundation for the quantitative calculation of failure consequences in the future.
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46

Xu, Yu Qin, Xiang Ling Zhan, Zheng Ren, Tong Li, Guo Hua Qiao, and Qing Xie. "Research on Quantitative Assessment Method of Power Transformer Supervision Based on Extensible Theory." Applied Mechanics and Materials 644-650 (September 2014): 2587–90. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.2587.

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The quantitative classification of transformer supervision can improve the quality of transformer supervision. For the contents of transformer supervision, this paper establishes an index system of transformer supervision. Example results show that the extension matter-element theory which is applied to transformer supervision quantitative evaluation is more reasonable. According to the categories of transformer supervision, this paper quantifies the uncertainty and builds the evaluation system of transformer supervision. It realizes the evaluation of transformer supervision and gets the key factors which influence the transformer supervision. This evaluation system is conducive to guide the transformer supervision to be more scientific and effective.
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47

Fojt, Otakar, and Aleš Vlk. "How to perceive quantitative indicators when assessing research policies." ERGO 14, no. 1 (June 1, 2019): 29–34. http://dx.doi.org/10.2478/ergo-2019-0004.

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Abstract The purpose of our contribution is to discuss shortcomings of purely descriptive quantitative evaluation of research policies – based either on inputs (public investment, number of researchers), or outputs (publications, number of patents). To give an example we compare selected indicators across Visegrad countries in the period between 2006 and 2015. We conclude that both quantitative and qualitative perspectives as well as societal and political context should be taken into account when the performance of any R&D system and the impact of public investments into a public R&D sector are scrutinized.
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48

Höller, Yvonne, Christoph Helmstaedter, and Klaus Lehnertz. "Quantitative Pharmaco-Electroencephalography in Antiepileptic Drug Research." CNS Drugs 32, no. 9 (August 27, 2018): 839–48. http://dx.doi.org/10.1007/s40263-018-0557-x.

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Abstract Pharmaco-electroencephalography (pharmaco-EEG) has never gained great popularity in epilepsy research. Nevertheless, the electroencephalogram (EEG) is the most important neurological examination technique in this patient population. Development and investigation of antiepileptic drugs (AEDs) involves EEG for diagnosis and outcome evaluation. In contrast to the common use of the EEG for documenting the effect of AEDs on the presence of interictal epileptiform activities or seizures, quantitative analysis of drug responses in the EEG are not yet standard in pharmacological studies. We provide an overview of dedicated pharmaco-EEG studies with AEDs in humans. A systematic search in PubMed yielded 43 articles, which were reviewed for their relevance. After excluding studies according to our exclusion criteria, nine studies remained. These studies plus the retrieved references from the bibliographies of the identified studies yielded 37 studies to be included in the review. The most prominent method in pharmaco-EEG research for AEDs was analysis of the frequency content in response to drug intake, often with quantitative methods such as spectral analysis. Despite documenting the effect of the drug on brain activity, some studies were conducted in order to document treatment response, detect neurotoxic effects, and measure reversibility of AED-induced changes. There were some attempts to predict treatment response or side effects. We suggest that pharmaco-EEG deserves more attention in AED research, specifically because the newest drugs and techniques have not yet been subject to investigation.
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49

Liu, Jie, Jian Lin Li, Liang Peng Wan, and Shi Wei Luo. "Research on Improving Rock Slope Fuzzy-Precise Evaluation Method." Applied Mechanics and Materials 65 (June 2011): 477–84. http://dx.doi.org/10.4028/www.scientific.net/amm.65.477.

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The rock mass quality classification method was introduced for the strength parameters and deformation parameters when carrying out quantitative classification and provided a theoretical basis; Introducing unloading rock mechanics theory, the infiltration conditions of the surface, drainage measures , catchment area as well as the subsequent impact of buildings on the slope were considered in order to increase the coverage of evaluation factors; Considering finite element analysis results of three-dimensional model and reference targets selected , one kind of improved numerical analysis method based on fuzzy - accurate evaluation of slope stability was proposed. The method is based on finite element model of the calculation results and the appropriate references selected, having the calculation analysis of certain factors on the slope stability a quantitative treatment, thus objectively established the weight ratio between these factors, avoiding subjective awareness in expert scoring impacting evaluation results too large. With practical engineering analysis it shows: the method is directed against rock slope analysis , make more factors impacting rock slope stability involved in evaluation, and easy to operate.
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Sun, Jiaxi. "Research on the Credibility of Social Media Information Based on User Perception." Security and Communication Networks 2021 (March 8, 2021): 1–10. http://dx.doi.org/10.1155/2021/5567610.

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In order to accurately obtain the credibility of social media information, improve the efficiency of credibility evaluation, and enhance the security of social media, this paper proposes a method for evaluating the credibility of social media information based on user perception. Starting from the three dimensions of subject credibility, source credibility, and content credibility, the information credibility evaluation dimensions are analyzed. According to the information credibility evaluation dimension, establish a social media information database and deal with spam in the database. Perform credit evaluation based on the results of various data analyses in the database, and extract meaningful keywords from social media information through feature selection algorithms to form keyword clusters. Finally, based on user perception theory, the credibility evaluation of social media information is realized. The experimental results show that the quantitative results of the method for evaluating the credibility of social media information are close to the actual situation, the evaluation results obtained are more accurate, and the evaluation time is short, which can provide a theoretical basis for supervision and management.
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