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Journal articles on the topic 'Evaluation model'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

NICA, Panaite, and Silviu Mihail TITA. "Efficiency – Model for Scientific Research Evaluation." Revista Romaneasca pentru Educatie Multidimensionala 5, no. 1 (2013): 141–59. http://dx.doi.org/10.18662/rrem/2013.0501.10.

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Lahajnar, Sebastian, and Alenka Rožanec. "Initial Coin Offering (ICO) evaluation model." Investment Management and Financial Innovations 15, no. 4 (2018): 169–82. http://dx.doi.org/10.21511/imfi.15(4).2018.14.

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High-tech companies operating in the field of blockchain technology use the Initial Coin Offering (ICO) to raise start-up capital. It is a fairly new, non-standardized and poorly regulated way of collecting start-up funding that can bring high yields to investors in the short term, but investors also have to be ready to take on high risks. The purpose of this article is to define a decision model for the evaluation of ICO projects, which provides a systematic, transparent, methodological approach to making decisions on investing in them. For that purpose, the authors analyzed a number of facto

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3

Jericho, Y. Baybayan. "An Evaluation of General Mathematics Course using Countenance Stake Evaluation Model." International Journal of Current Science Research and Review 07, no. 12 (2024): 9189–96. https://doi.org/10.5281/zenodo.14584521.

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  Abstract : The entrance exam score results of students at one university in Central Mindanao, Philippines based from the OSAT – A Test revealed that most of the students belong to the dull normal to average IQ category. In this study, through countenance stake evaluation model by Robert Stake, the General Mathematics Couse at Senior High School was evaluated checking if the goals are being met through (1) identifying the suitability of learning planning and (2) the learning process, (3) the appropriateness of learning assessments, and (4) the student learning outcomes which involv

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4

Munro, Barbara Hazard. "Evaluation Model." Clinical Nurse Specialist 9, no. 3 (1995): 144. http://dx.doi.org/10.1097/00002800-199505000-00007.

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5

Masood Butt, Saad, Shahid Masood Butt, Azura Onn, Nadra Tabassam, and Mazlina Abdul Majid. "Usability Evaluation Techniques for Agile Software Model." Journal of Software 10, no. 1 (2015): 32–41. http://dx.doi.org/10.17706/jsw.10.1.32-41.

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6

Bar-Anan, Yoav, and Tal Moran. "Simple First: A Skeleton for an Evaluative Learning Model." Social Psychological Bulletin 13, no. (3) (2018): e28761. https://doi.org/10.5964/spb.v13i3.28761.

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Simple first is our name for a set of hypotheses that we have found useful in our research on evaluative learning. The hypotheses are: (1) It is easier to encode and retrieve information that two concepts are linked than information about how they are linked; (2) It is easier to store and retrieve information than to make an inference based on that information; (3) When people encounter an object and memory activates valence that is mentally linked to that object, they consider the activation valid evidence that the activated valence characterizes the object. We demonstrate how these hypothese

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Sparks, Elizabeth, Michelle Molina, Natalie Shepp, and Fiona Davey. "The Evaluation Skill-a-Thon: Evaluation Model for Meaningful Youth Engagement." Journal of Youth Development 16, no. 1 (2021): 100–125. http://dx.doi.org/10.5195/jyd.2021.968.

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Active engagement of youth participants in the evaluation process is an increasingly sought out method, but the field can still benefit from new methods that ease youth participatory evaluation implementation. Meaningful youth engagement in the evaluation process is particularly advantageous under the 4-H thriving model because of its potential to contribute to positive youth development, foster relationship building, enhance evaluation capacity, and improve program quality through improved evaluations. This program sought to facilitate actively engaging youth in the evaluation process by brea

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Lim, Hee-Jeong, Young-Hee Lee, and Hyo-Jung Kwon. "Evaluation of Community Land Model version 3.5-Dynamic Global Vegetation Model over Deciduous Forest in Gwangneung, Korea." Korean Journal of Agricultural and Forest Meteorology 12, no. 2 (2010): 95–106. http://dx.doi.org/10.5532/kjafm.2010.12.2.095.

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9

Turgut, Mehmet, and Alp Ustundag. "A Hybrid Risk Evaluation Model for Automotive Production." International Journal of Machine Learning and Computing 4, no. 5 (2014): 458–62. http://dx.doi.org/10.7763/ijmlc.2014.v4.454.

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10

Tvrdoň, J. "Some model approaches of natural resources efficiency evaluation." Agricultural Economics (Zemědělská ekonomika) 51, No. 2 (2012): 47–50. http://dx.doi.org/10.17221/5075-agricecon.

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The article deals with problems of sustainable development of agriculture from the viewpoint of efficient use of environmental resources. Environmental resources are factors of creation both usual economic goods and stabilization of environment. Analysis proved that classical indicators of economic performance are necessary to be modified by the ecological threshold of economic activities. However its level is not fixed and follows factors introduced in the paper which arose in frame of solution of the Institutional Research Intention MSM 411100013.

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Kozyk, V., O. Mrykhina, and T. Mirkunova. "Conceptual Model for Economic Evaluation of Innovative Technologies." Economics, Entrepreneurship, Management 4, no. 2 (2017): 45–58. http://dx.doi.org/10.23939/eem2017.02.045.

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12

Icke, J., K. J. van Heeringen, S. Groot, and M. Ouboter. "Model Evaluation Tool experiences for the Amstel River." River Systems 17, no. 1-2 (2006): 97–113. http://dx.doi.org/10.1127/lr/17/2006/97.

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13

K. J., Sarvamangala, and G. Sudarsana Reddy. "Performance Evaluation of Select Banks using CAMELS Model." International Journal of Research Publication and Reviews 5, no. 5 (2024): 11653–60. http://dx.doi.org/10.55248/gengpi.5.0524.1419.

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14

Grace, James. "A 'Weight of Evidence' approach to evaluating structural equation models." One Ecosystem 5 (March 13, 2020): e50452. https://doi.org/10.3897/oneeco.5.e50452.

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It is possible that model selection has been the most researched and most discussed topic in the history of both statistics and structural equation modeling (SEM). The reason for this is because selecting one model for interpretive use from amongst many possible models is both essential and difficult. The published protocols and advice for model evaluation and selection in SEM studies are complex and difficult to integrate with current approaches used in biology. Opposition to the use of <i>p</i>-values and decision thresholds has been voiced by the statistics community, yet certain phases of

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15

Orok, Ikemesit, Sunday Alabi, Minister Obonukut, and Iniobong Asuquo. "A Review of Kinetic Model Evaluation for Anaerobic Digestion Process." Scholarly Journal of Science and Technology Research and Development 3, no. 8 (2024): 19–43. https://doi.org/10.5281/zenodo.13888563.

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<em>Variability of process conditions, diversity of bio-sourced feedstock as well as the slow and unstable nature of the process make anaerobic digestion (AD) technology, a subject of recent research despite several centuries of its practice. Model is one of the tools exploited not only to predict the system’s performance but also for improved production. The search for appropriate models is currently a major priority for optimizing the process and the literature is flooded on this subject. This paper reviewed the prominent ones among them from mathematical, experimental and statistical

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16

Wolf, A., K. Fackler, M. Reulbach, S. Wartzack, and J. Miehling. "Computer Aided Ergonomics: Evaluation Study of a Interaction Model for Digital Human Models." Proceedings of the Design Society 2 (May 2022): 663–72. http://dx.doi.org/10.1017/pds.2022.68.

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AbstractIn user-centred design, digital human models hold the potential for proactive evaluations of ergonomics or discomfort in terms of a computer aided ergonomics tool. Therefore, models predicting human interaction behaviour, are necessary. In this contribution we present such a model as well as its initial evaluation. The evaluation is performed by applying the interaction model to a specific use case, conducting a comparison with an empirical subject study. The evaluation shows that similar and realistic human behaviour was predicted, which was consistent in terms of whole-body strain.

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17

Stanojević, Petar, and Slobodan Ilić. "Evaluation model of maintenance system efficiency." Vojnotehnicki glasnik 45, no. 1 (1997): 23–36. http://dx.doi.org/10.5937/vojtehg9701023s.

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18

Ridge, Richard S., Gary A. Stern, and Ronald K. Watts. "Econometric Model Evaluation." Evaluation Review 14, no. 3 (1990): 308–14. http://dx.doi.org/10.1177/0193841x9001400306.

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19

徐, 宇明. "Wine Evaluation Model." Statistics and Application 06, no. 01 (2017): 104–10. http://dx.doi.org/10.12677/sa.2017.61012.

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20

Lodge, Milton, Kathleen M. McGraw, and Patrick Stroh. "An Impression-Driven Model of Candidate Evaluation." American Political Science Review 83, no. 2 (1989): 399–419. http://dx.doi.org/10.2307/1962397.

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We describe and test two process models of candidate evaluation. The memory-based model holds that evaluations are dependent on the mix of pro and con information retrieved from memory. The impression-driven model holds that evaluations are formed and updated “on-line” as information is encountered. The results provide evidence for the existence of stereotyping and projection biases that render the mix of evidence available in memory a nonveridical representation of the information to which subjects were exposed. People do not rely on the specific candidate information available in memory. Rat

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21

Divayana, Dewa Gede Hendra, P. Wayan Arta Suyasa, and I. Putu Wisna Ariawan. "Amalgamation evaluation model design based on modification weighted product-Provus-Alkin-Rwa Bhineda." International Journal of Evaluation and Research in Education (IJERE) 13, no. 4 (2024): 2068–82. https://doi.org/10.11591/ijere.v13i4.27712.

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The new normal era allowed learning at IT vocational schools to be carried out directly (synchronously) through online meeting platforms and indirectly (asynchronously) through email, WhatsApp groups, and learning management system (LMS). However, the reality showed that not all synchronous and asynchronous learning implementations were effective. Based on these problems, it was necessary to evaluate and used an appropriate evaluation model. A breakthrough was used, namely the Amalgamation evaluation model based on the modification of the weighted product with the Provus and Alkin models in vi

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22

Finney, Tia L. "Confirmative Evaluation: New CIPP Evaluation Model." Journal of Modern Applied Statistical Methods 18, no. 2 (2020): 2–24. http://dx.doi.org/10.22237/jmasm/1598889893.

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Struggling trainees often require a substantial investment of time, effort, and resources from medical educators. An emergent challenge involves developing effective ways to accurately identify struggling students and better understand the primary causal factors underlying their poor performance. Identifying the potential reasons for poor performance in medical school is a key first step in developing suitable remediation plans. The SOM Modified Program is a remediation program that aims to ensure academic success for medical students. The purpose of this study is to determine the impact of mo

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23

Karnia, Richard. "Relationship between the Adoption of BARS Teacher Evaluation Model and its Impact on Student Performance." International Journal of Psychiatry 9, no. 3 (2024): 01–18. http://dx.doi.org/10.33140/ijp.09.03.04.

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There currently is a mismatch in the outcomes in education between teacher performance evaluation models and student outcomes. Data from Illinois State Board of Education shows teachers in one district have a 99.7% of teachers meeting excellent or proficient standards, while only 13% of 11th graders can read at grade level. The research will identify trends in performance evaluation and how the application of theories of industrial-organizational psychology can play in shaping and improving current teacher evaluation models. Professional development and evaluations should be linked to quantita

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24

Mardiah, Mardiah, and Syarifudin Syarifudin. "MODEL-MODEL EVALUASI PENDIDIKAN." MITRA ASH-SHIBYAN: Jurnal Pendidikan dan Konseling 2, no. 1 (2019): 38–50. http://dx.doi.org/10.46963/mash.v2i1.24.

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merupakan salah satu komponen dari sistem pendidikan Islam yang harus dilakukan secara sistematis dan terencana sebagai alat untuk mengukur keberhasilan atau target yang akan dicapai dalam proses pendidikan atau proses pembelajaran. Model-model evaluasi pendidikan adalah contoh atau pola acuan suatu proses penilaian dalam mengumpulkan dan menganalisis untuk menentukan taraf kemajuan suatu aktivitas di dalam pendidikan guna menetapkan pencapaian suatu tujuan baik untuk pendidik dan peserta didik. Adapun model-model evaluasi pendidikan adalah Goal Oriented Evaluation Model, Goal Free Evaluation

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25

Deng, Baichuan, Hongmei Lu, Chengquan Tan, Jinping Deng, and Yulong Yin. "Model population analysis in model evaluation." Chemometrics and Intelligent Laboratory Systems 172 (January 2018): 223–28. http://dx.doi.org/10.1016/j.chemolab.2017.11.016.

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26

Emmert-Streib, Frank, and Matthias Dehmer. "Evaluation of Regression Models: Model Assessment, Model Selection and Generalization Error." Machine Learning and Knowledge Extraction 1, no. 1 (2019): 521–51. http://dx.doi.org/10.3390/make1010032.

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When performing a regression or classification analysis, one needs to specify a statistical model. This model should avoid the overfitting and underfitting of data, and achieve a low generalization error that characterizes its prediction performance. In order to identify such a model, one needs to decide which model to select from candidate model families based on performance evaluations. In this paper, we review the theoretical framework of model selection and model assessment, including error-complexity curves, the bias-variance tradeoff, and learning curves for evaluating statistical models

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27

Feng, J., X. B. Zhan, Z. Y. Zheng, D. Wang, L. M. Zhang, and C. C. Lin. "New model for flavour quality evaluation of soy sauce." Czech Journal of Food Sciences 31, No. 3 (2013): 292–305. http://dx.doi.org/10.17221/524/2011-cjfs.

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The soy sauce samples established a model for its flavour quality evaluation. Initially, 39 types of flavour compounds, organic acids and free amino acids in six different types of soy sauce were identified and determined by HS-SPME GC/MS and HPLC. The model was developed based on the principal component analysis method for assessing and ranking of flavour quality of soy sauce. Using the principal component analysis which simplifies complex information, our correlative evaluation model was established, tested by comparing the traditional sensory evaluation method, providing a new methodology f

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28

Padmakar Kare, Amol, and Viresh Bhanudas Parkhe. "3T Leadership Competency Model Evaluation in the HRM Context." International Journal of Science and Research (IJSR) 14, no. 1 (2025): 1108–14. https://doi.org/10.21275/sr25125110211.

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29

Kim. "Formulation and Evaluation of Railway Optimal Alignment Design Model." Journal of the Korean Society of Civil Engineers 34, no. 6 (2014): 1851. http://dx.doi.org/10.12652/ksce.2014.34.6.1851.

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30

Mangmang, Geraldine B. "Internship Performance Evaluation: A Predictive Model for IT Students." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10-SPECIAL ISSUE (2019): 1123–26. http://dx.doi.org/10.5373/jardcs/v11sp10/20192914.

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31

KURUM, Gul, and Sakir CINKIR. "An Authentic Look at Evaluation in Education: A School Self- Evaluation Model Supporting School Development." Eurasian Journal of Educational Research 19, no. 83 (2019): 1–34. http://dx.doi.org/10.14689/ejer.2019.83.12.

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32

Tochot, P., P. Junpeng, and P. Makmee. "Measurement Model of Evaluation Utilization: External Evaluation." Procedia - Social and Behavioral Sciences 69 (December 2012): 1751–56. http://dx.doi.org/10.1016/j.sbspro.2012.12.124.

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33

Tutulmaz, Onur. "Monetary Growth Models: An Evaluation on Tobin Model." JOURNAL OF SOCIAL SCIENCE RESEARCH 6, no. 2 (2014): 1029–35. http://dx.doi.org/10.24297/jssr.v6i2.3485.

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Growth models have an important place in the economics. These models try to reflect the behavior of an economy so that we can understand and analyze the growth mechanism in the economy. Growth theory first focusing on the production function tried to explain the growth in the physical production. However, in the real world, if the saving part of that production is not channeled into physical capital, the scenario of the early growth models cannot reflect the real world. In this sense, Tobin model has made the first step including money option for the individual saving portfolio and turned the

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34

Hu, Jinxiang, M. David Miller, Anne Corinne Huggins-Manley, and Yi-Hsin Chen. "Evaluation of Model Fit in Cognitive Diagnosis Models." International Journal of Testing 16, no. 2 (2016): 119–41. http://dx.doi.org/10.1080/15305058.2015.1133627.

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35

Wiggans, G. R., and P. M. VanRaden. "Animal Model Evaluation Within Herd Linked to National Evaluations." Journal of Dairy Science 73, no. 7 (1990): 1956–63. http://dx.doi.org/10.3168/jds.s0022-0302(90)78874-1.

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36

Iqbal, Muhammad, Intan Savitri, Fathia Hanifah, Nur Alfiana Kholizah, Dinda Aulia Sari, and Tarisa Munawwarah. "Model Evaluasi Program Pendidikan Terhadap Peningkatan Kualitas Pembelajaran." Indo-MathEdu Intellectuals Journal 5, no. 3 (2024): 3535–40. http://dx.doi.org/10.54373/imeij.v5i3.1472.

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The quality of education in an educational institution is currently one of the important elements in the sustainability of the educational institution itself, both in terms of the quality of infrastructure, the quality of teaching and education staff or the quality of learning, all of this is one unit that must be maintained and updated in order to make education quality. An educational evaluation model, where matters related to evaluation data are collected is the main step in conducting educational evaluations, especially the quality of learning. Through research using this qualitative metho

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37

Samon, Jean Bosco, and Brice Landry Tekam Guessom. "Evaluation Model of Mechatronizability." Journal of Mechatronics and Robotics 6, no. 1 (2022): 65–78. http://dx.doi.org/10.3844/jmrsp.2022.65.78.

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38

Kellogg, Nancy D., Mary Jane Chapa, Patricia Metcalf, Michelle Trotta, and Daisy Rodriguez. "Medical/Social Evaluation Model." Journal of Child Sexual Abuse 2, no. 4 (1994): 1–17. http://dx.doi.org/10.1300/j070v02n04_01.

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39

Mulaik, Stanley A. "Parsimony and Model Evaluation." Journal of Experimental Education 66, no. 3 (1998): 266–73. http://dx.doi.org/10.1080/00220979809604411.

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40

Perry, Jan F., and Carol Endebrock Lee. "Model for Curriculum Evaluation." Journal of Physical Therapy Education 2, no. 2 (1988): 13–17. http://dx.doi.org/10.1097/00001416-198807000-00004.

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41

Moldovan, Liviu. "Training Outcome Evaluation Model." Procedia Technology 22 (2016): 1184–90. http://dx.doi.org/10.1016/j.protcy.2016.01.166.

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42

Nakamura, Alice, and James R. Walker. "Model Evaluation and Choice." Journal of Human Resources 29, no. 2 (1994): 223. http://dx.doi.org/10.2307/146097.

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43

Petersen, K. E. "European model evaluation activity." Journal of Loss Prevention in the Process Industries 7, no. 2 (1994): 130–32. http://dx.doi.org/10.1016/0950-4230(94)80029-4.

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44

Ovezgel’dyev, A. O., and K. É. Petrov. "Adaptive multifactor-evaluation model." Cybernetics and Systems Analysis 33, no. 3 (1997): 379–85. http://dx.doi.org/10.1007/bf02733071.

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45

Sieloff, Debra A. "The bridge evaluation model." Performance Improvement 38, no. 10 (1999): 14–17. http://dx.doi.org/10.1002/pfi.4140381004.

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46

Liputo, Cindy Regina, Masri Kudrat Umar, and Dewi Diana Paramata. "Evaluasi Pembelajaran Fisika Dasar Menggunakan Model Provus di Universitas." Ideas: Jurnal Pendidikan, Sosial, dan Budaya 9, no. 3 (2023): 925. http://dx.doi.org/10.32884/ideas.v9i3.1163.

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There are various issues faced by college students while learning in college, which is why it is important to conduct evaluations to measure the success rate of the learning system. This research purposes to intended to analyze the problems encountered in learning so that solutions can be found, moreover the evaluation aims to assess the success of leraning that has been implemented. This research uses a qualitative and evaluative method of approach (discrepancy model's) with 4 evaluation dimensions (design, installation, process, and product). The result shows that overall, that design evalua

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Kang, Qixiu, Jing Tang, and Yuming Wang. "Product Promotion Prediction Model Based on Evaluation Information." Modern Electronic Technology 5, no. 1 (2021): 10. http://dx.doi.org/10.26549/met.v5i1.6373.

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This paper mainly studies the impact of evaluation information on e-commerce platform on the future of products. Through natural language processing and rating, an evaluation model based on user rating and evaluation is defined to measure product quality. Among them, evaluations are differentiated: review sentiment coefficient (R) and review length (L).The evaluation model is:D=0.3*S+0.7*( 0.3*L+0.7*R). In order to predict the future reputation of products, based on the above evaluation model, time series is used to rank the products studied. Each customer purchases the product through Markov

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48

Chitra, K., and J. Manoranjini. "Evaluation of Nursing Practice by Using Betty Neuman System Model." Asian Pacific Journal of Health Sciences 6, no. 1 (2019): 55–57. http://dx.doi.org/10.21276/apjhs.2019.6.1.8.

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49

Dahmoune, Badreddine, and Hamidi Mansour. "ALGERIAN NORTHWESTERN SEISMIC HAZARD EVALUATION BASED ON THE MARKOV MODEL." Rudarsko-geološko-naftni zbornik 34, no. 1 (2019): 113–25. http://dx.doi.org/10.17794/rgn.2019.1.10.

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Cupertino, César Medeiros, and Paulo Roberto Barbosa Lustosa. "The Ohlson Model of Evaluation of Companies: Tutorial for Use." Brazilian Business Review 1, no. 1 (2004): 1–16. http://dx.doi.org/10.15728/bbr.2004.1.1.1.

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