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Автор: Grafiati
Опубліковано: 30 травня 2022
Оновлено: 31 травня 2022

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Статті в журналах з теми "A test of preferences"

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Vormittag, Isabella, Tuulia M. Ortner, and Tobias Koch. "How Test Takers See Test Examiners." European Journal of Psychological Assessment 31, no. 4 (October 2015): 254–62. http://dx.doi.org/10.1027/1015-5759/a000232.

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Abstract. We addressed potential test takers’ preferences for women or men as examiners as well as how examiners were perceived depending on their gender. We employed an online design with 375 students who provided preferences for and ratings of examiners based on short video clips. The clips showed four out of 15 psychologists who differed in age (young vs. middle-aged) and gender giving an introduction to a fictional intelligence test session. Employing multivariate multilevel analyses we found female examiners to be perceived as more social competent and middle-aged examiners being perceived as more competent. Data analyses revealed a significant preference for choosing women as examiners. Results were discussed with reference to test performance and fairness.
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Stubager, Rune. "Preference-Shaping: An Empirical Test." Political Studies 51, no. 2 (June 2003): 241–61. http://dx.doi.org/10.1111/1467-9248.00422.

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According to Downs, parties are forced to accommodate the preferences of the voters in order to win elections. However, Dunleavy and Ward argue that it is also possible for a party to use preference-shaping strategies to bring the preferences of the voters in line with the party's position. Using structural equation modelling, preference-shaping theory is tested in relation to the effect of sales of council houses and shares in privatised companies on the electorate's attitudes to economic policies under the 1979–92 Conservative governments in Britain. The analyses provide little support for preference-shaping theory, which seems in need of respecification if it is to be maintained.
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Šimonová, Ivana. "Learner Preferences and Rejections of Selected Test Formats." International Journal of Information and Communication Technologies in Education 5, no. 1 (August 1, 2016): 32–40. http://dx.doi.org/10.1515/ijicte-2016-0003.

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Abstract The article presents the results of the survey on student preferences and rejections of selected types of tests (test formats) reflecting their learning preferences. The survey was conducted at the Faculty of Informatics and Management, University of Hradec Kralove, Czech Republic in the sample of 203 students of Applied Informatics, Information Management, Financial Management and Tourism&Management study programmes. Data were collected by two questionnaires: (1) Learning Combination Inventory by Johnston, which was exploited to detect learner preferences, and (2) Preference/Rejection of selected types of tests, which enabled learners to express their opinions on seven selected types of tests on 10-level Likert scale. The results clearly showed strong preference of questions and tasks pre-defined before the credit test or exam, both in the oral and written forms. This finding might lead to a conclusion that student flexibility and creative thinking are not sufficiently developed for autonomous work and searching for new solutions, as required by numerous educational documents.
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Bakker, Theo, and Reto Künzler. "Computer Animations as a Tool in the Study of Mating Preferences." Behaviour 135, no. 8 (1998): 1137–59. http://dx.doi.org/10.1163/156853998792913537.

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AbstractThe study of multiple female mating preferences and multiple male signals requires correct and precise measurement of preferences. A review is given of existing preference test paradigms. Non-interactive preference tests using computer animations perfectly fulfil the demands for the study of multiple preferences for visual traits: exclusion of confounding variables, exclusion of variation within and between male pairs, great potential of experimental manipulation of single and combinations of visual traits including behaviour. We give a detailed description for the production of computer animation movies based on commercial software. Finally, we show how computer animations can be properly applied to the testing of mating preferences. In sticklebacks, female mating preferences that were tested in this way agreed with preferences that were measured with other test paradigms.
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Lewandowski, Lawrence, Tonya L. Lambert, Benjamin J. Lovett, Carlos J. Panahon, and Marcia R. Sytsma. "College Students’ Preferences for Test Accommodations." Canadian Journal of School Psychology 29, no. 2 (May 8, 2014): 116–26. http://dx.doi.org/10.1177/0829573514522116.

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Shultz, Samuel K., Robert Wu, John J. Matelski, Xin Lu, and Peter Cram. "Patient Preferences for Test Result Notification." Journal of General Internal Medicine 30, no. 11 (May 6, 2015): 1651–56. http://dx.doi.org/10.1007/s11606-015-3344-0.

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Shrinivas, Aditya, and Marcel Fafchamps. "Testing Efficient Risk Sharing with Heterogeneous Risk Preferences: Comment." American Economic Review 108, no. 10 (October 1, 2018): 3104–13. http://dx.doi.org/10.1257/aer.20170413.

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Mazzocco and Saini (2012) propose and implement a test of efficient risk sharing that allows for preference heterogeneity. They motivate their approach as yielding different results from those of a standard efficiency test with homogeneous preferences. We show that the standard efficiency test results are misreported in their paper and that the correctly reported results do not present as compelling a case for the importance of accounting for heterogeneous preferences. (JEL D12, D81, G22, O12, O18, R23, Z13)
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Chawla, Deepak, Afsha Dokadia, and Snigdha Rai. "Multigenerational Differences in Career Preferences, Reward Preferences and Work Engagement among Indian Employees." Global Business Review 18, no. 1 (January 26, 2017): 181–97. http://dx.doi.org/10.1177/0972150916666964.

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The purpose of the present study is to empirically examine the multigenerational differences in career preferences, reward preferences and work engagement among three generations (senior generation, generation X and generation Y). Data were collected with the help of an online questionnaire from 653 working executives working in different Indian public and private organizations. Significance of differences in career preference, reward preference and work engagement among generations was analyzed with the help of analysis of variance (ANOVA) followed by post hoc Tukey test. Findings of the present study indicate that there is a significant difference in career preferences and work engagement among the three studied generations. Additionally, there is no significant difference in reward preferences among the three studied generations. The present article describes and discusses these findings and the global implications of the same for managers.
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Putri, Ronasari Mahaji, Susmini Susmini, and Neni Maemunah. "Preferences (Attitudes and Preferences of Vegetables) of School Children Reviewed from knowledge." STRADA Jurnal Ilmiah Kesehatan 9, no. 1 (May 3, 2020): 147–61. http://dx.doi.org/10.30994/sjik.v9i1.233.

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However, in reality there are not many children who want to consume vegetables and fruits. The low consumption of vegetables and fruit in school children is due to multifactor. This study aims to determine the relationship of knowledge with preference (attitudes and preferences of vegetables). The design of the observational study using a cross sectional design.The population in this study were all children found in Yayasan Eleos Sukodadi Village, Wagir Sub-District, Malang Regency, with 57 children, with total sampling. The instrument uses 3 questionnaires with a total of 34 questions. Analysis of data to determine the relationship between preference knowledge (preferences and attitudes) of vegetables and fruit using rank spearman test.The results of the study show that most school children have sufficient knowledge (63,2%) and half of the respondents have good preferences (50.9%). The statistical test showed that there was no relationship between knowledge and vegetable preferences in school children
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Radoš, Sonja, Marija Zdraveva, and Iris Žeželj. "Status Dynamics in the Classroom: Roma Children’s Implicit and Explicit Preference for Majority Children Across Age Groups." Journal of Cross-Cultural Psychology 50, no. 4 (February 14, 2019): 577–93. http://dx.doi.org/10.1177/0022022119828498.

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Roma children are often segregated within the Serbian education system: They are disproportionally placed in special schools or put in ethnically homogeneous classrooms. Even in nonsegregated environments, they face everyday discrimination—an 80% dropout rate from elementary school testifies to that. Being a stigmatized minority might contribute to negative social identity, manifested in reversed in-group–out-group preferences. In this cross-sectional study, we investigated (a) if Roma children exhibit implicit/explicit preference for the majority group, and compared their preferences with those of majority children; (b) if these preferences differ in two age groups (second/third and seventh-grade elementary school); and (c) if they relate to academic self-efficacy. A total of 89 children completed the implicit associations test (IAT) test, three measures of explicit ethnic preference (semantic differential, feeling thermometer, and social distance), and a measure of academic self-efficacy. While Serbian children showed consistent explicit and implicit in-group preference, in Roma, we found out-group preferences on both sets of measures. Age-wise, the older group of Roma showed less explicit out-group preferences only in social distance, but not in other measures; the older children showed higher implicit out-group preference (Roma), and slightly lower implicit in-group preference (Serbs), in comparison with the younger. Finally, implicit, but not explicit, out-group preference predicted lower academic self-efficacy in Roma. Our findings demonstrate that out-group preference in Roma children is a robust phenomenon, and that implicit preference is stronger with age. This implies that schooling alone will not reduce negative social identity and that the minority children need to be strategically empowered.
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Дисертації з теми "A test of preferences"

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Salomonsson, Cecilia. "Food preferences in captive meerkats (Suricata suricatta)." Thesis, Linköpings universitet, Institutionen för fysik, kemi och biologi, 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-70120.

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By using a three-choice preference test I tested food preferences in eight meerkats (Sutricata suricatta) for nine different food items. The meerkats were presented with all possible combinations of 9 food items, in total 84 combinations. The meerkats displayed the following rank order of food preference: cricket > zophoba lava > egg white > banana = tomato > orange > apple > cucumber > carrot. A correlation test between the food preference and nutritional content showed that the preference is significantly correlated with protein content. There is also a significant correlation between ash content and the food preference. There were no correlations with water, fat or vitamins and minerals. This suggests that, as in the wild, the captive meerkats at Kolmården wild life park seek food with high protein content. Ash has a high significant correlation with protein, which may explain the correlation between ash and the food preference. A comparison between the individual’s food preferences showed that the oldest individuals had the highest number of correlations with their food preferences to other individual’s food preference. This suggests an observational learning capability from older to younger individuals, which has also been reported in wild meerkat
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Posri, Wilatsana. "Improving the predictability of consumer preferences from central location test (CLT) in tea." Thesis, University of Reading, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.365906.

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Mayer, Mary C. "Andragogical preferences of adult basic education students a test of Knowles' model." Thesis, University of Ottawa (Canada), 1987. http://hdl.handle.net/10393/5322.

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Teemant, Annela. "The role of language proficiency, test anxiety, and testing preferences in ESL students' test performance in content-area courses." The Ohio State University, 1997. http://rave.ohiolink.edu/etdc/view?acc_num=osu1241104829.

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Sterling, Tania M. "The Effect of Reading Test Mode Interchangeability and Student Assessment Preferences on Achievement." ScholarWorks, 2011. https://scholarworks.waldenu.edu/dissertations/1025.

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Computer-based testing (CBT) in education is on the rise; however, researchers question the interchangeability of CBT and pencil-based testing (PBT). Educators and leaders need to consider test mode interchangeability and student assessment preference prior to adopting CBT in K-8 schools. Following the new literacies theory, this mixed methods study examined test mode preference, the effect on achievement, and factors that influenced student preferences. Research questions investigated participants' computer attitudes and use to determine test mode preference, the impact of test mode and test mode preference on achievement, and factors that influence testing preferences. This sequential explanatory within-group design included 2 online surveys and 2 reading tests in CBT and PBT formats. Paired-sample t tests were used to analyze reading test data preferred and nonpreferred test modes and across CBT and PBT test modes. Qualitative themes were generated and coded using an inductive approach, and patterns among data were analyzed. Findings revealed that all participants used technology regularly at home and at school, and most students preferred CBT over PBT. Quantitatively, there were no significant differences in reading achievement between students' preferred and nonpreferred test modes or between CBT and PBT test formats. Qualitative analysis indicated that students who chose PBT as their preferred test mode did so due to their familiarity with the format. Overall, results supported the idea that CBT and PBT were interchangeable. Implications for positive social change include increasing teachers' effective use of testing modes to improve student confidence, which may translate into improved student achievement.
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Smith, Nichole. "Consumer Preferences for the Reporting of Genetic Variants of Uncertain Significance." University of Cincinnati / OhioLINK, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1337352216.

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Ghanouni, A. "Preferences for colorectal cancer screening tests." Thesis, University College London (University of London), 2015. http://discovery.ucl.ac.uk/1465404/.

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Colorectal cancer (CRC) is an important source of disease burden in the United Kingdom and developed world. It is often preventable through certain forms of screening of asymptomatic individuals, allowing for the timely detection and removal of pre-cancerous polyps (adenomas). It can also reduce mortality (in individuals who already have CRC) by detecting it at an earlier, more treatable stage. Computed Tomographic colonography (CTC) is a comparatively new test that is capable of detecting adenomas before they transition into cancer, meaning that it can identify people for whom polypectomy is warranted. Like the “gold standard” test of colonoscopy, it can detect most adenomas. It may also be perceived more positively than colonoscopy by screening invitees because the exam is less invasive, potentially increasing uptake and improving population health outcomes. Another possible advantage of CTC over colonoscopy is that it is possible to replace the burdensome full-laxative bowel preparation with reduced- or even non-laxative alternatives. However, these are likely to be associated with a reduction in sensitivity and specificity, resulting in more false negatives and false positives, and this may detract from its overall public acceptability. The main aims of this PhD were to investigate the public’s views about the optimum method of carrying out CTC, taking into account the trade-offs involved in bowel preparation options, and test whether a particular form of CTC had the potential to increase screening uptake compared with other preventative CRC screening tests (colonoscopy and flexible sigmoidoscopy). Chapter 1 consists of the background to CRC, screening, and the relevant tests. Chapter 2 introduces the issues of screening test preferences and uptake. Chapter 3 (Study 1) reports on a qualitative discussion group study that served as an initial exploration of public perceptions, values and preferences regarding CTC and colonoscopy. Chapter 4 (Study 2) reports on a qualitative interview study that compared patients’ experiences with CTC following non- or full-laxative preparation in order to inform a further qualitative study in Chapter 5 (Study 3), which explored public perceptions and preferences for different bowel preparations for CTC, specifically taking into account the trade-offs. A more systematic assessment was planned to quantify the extent to which preparation tolerability, sensitivity and specificity were valued and Chapter 6 (Study 4) consisted of a review of previous studies that used the selected approach (conjoint analysis) with the aim of identifying strengths and weaknesses in the existing literature. These findings were drawn on when designing Study 5 in Chapter 7, which consists of a particular form of conjoint analysis (a discrete choice experiment) to quantify public values of the main attributes of interest for CTC. The final study in Chapter 8 (Study 6) randomised participants to receive a hypothetical screening invitation for one of several preventative tests in order to measure how uptake of different forms of CTC might compare with colonoscopy and flexible sigmoidoscopy. Chapter 9 refers to findings from psychology that aims to broaden the perspective of how studies assess and interpret stated preferences for and perceptions regarding screening tests. Findings are then synthesised in Chapter 10, taking into account this broader literature. Participants consistently discriminated between CTC and colonoscopy across studies and appraised the former less negatively in terms of experiential characteristics. Participants were also consistent in anticipating the experience of non- and reduced-laxative preparation less negatively than full-laxative preparation. Results were more mixed in terms of appraisals of sensitivity and specificity in the context of CTC bowel preparation. The qualified interpretation presented here is that sensitivity is an influential attribute but specificity is not, when both are defined within a range of values considered plausible. Hence, although sensitivity and the anticipated experience of preparation were both important attributes, perceived gains arising from reducing preparation burden were offset by perceived costs from the corresponding reduction in diagnostic performance of CTC, leading to no clear overall preference for a particular preparation method. Furthermore, there was no evidence that screening uptake would be higher for different forms of CTC, or other preventive screening tests. The most robust method of confirming these findings would be direct comparisons of the tests in trials assessing actual screening behaviour.
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Rair, Randal J. "Test Environment for Optimal Performance in high school students: Measure development and the relationship with standardized test scores." Kent State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=kent156197137829198.

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Lagström, Christian. "Födosammansättning hos gråsäl (Halichoerus grypus) samt test av flotte för insamling av sälfekalier." Thesis, University of Kalmar, School of Pure and Applied Natural Sciences, 2008. http://urn.kb.se/resolve?urn=urn:nbn:se:hik:diva-697.

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During the 1960´s and 1970´s the number of grey seals in the Baltic Sea was decreasing rapidly, mostly due to hunting and toxic substances like DDT and PCB. When hunting became less intense and toxic substances decreased in the environment the grey seal population started to increase. Today grey seals are found common in the Baltic Sea and have started to become a big treat and a problem to the fishing industry. The grey seal destroys and enters fishing traps and consumes large quantities of the fish that have been caught.

The knowledge of the grey seal, like abundance and food preferences, is today limited. It is also important to define the position of the grey seal in the ecosystem in the Baltic Sea and to be able to predict changes that could occur if the population would rapidly decrease or increase. This project was therefore started in an attempt to increase the knowledge about the grey seals food preferences. The study was made in tree separate parts. Part one contained analyses of prey remains from stomachs and digestive tract from fourteen individuals put down in two geographically separate areas. The collected material from the seal digestive tract was cleaned and otoliths (hearing stones from fish), scales and back vertebra from fish eaten by the grey seal were sorted out. With the help of hard parts collected from the intestines the food preferences of the seals could be estimated. Eight different species of prey was found. The species were herring (Clupea harengus membras), sprat (Sprattus sprattus), common whitefish (Coregonus spp), perch (Perca fluviatilis), salmon (Salmo salar), trout (Salmo trutta) and roach (Rutilus rutilus). In two of the digestive tracts several individuals of the isopod Saduria entomon were found. No earlier studies describe the isopod as a food source for the grey seals in the Baltic Sea. The findings are therefore unique information. The results showed that during summer the main part of the grey seal diet in the gulf of Sundsvall and in the surrounding coastal area of Hårte was herring and sprat. No significant difference in food preferences was shown between the investigated seals from the gulf of Sundsvall and seals from the surrounding coastal area of Hårte.

The second part was made to investigate if it was possible to build a floating platform that would work as a resting place for the grey seal. The surface of the platform was covered by a layer that keeps the seal scats on the platform so that it could be collected. Otoliths from herring and common whitefish were found on the floating platform. Because the platform could not be under surveillance during the whole study some uncertainties about whether the otoliths found came from grey seal or from resting cormorants or other fish eating birds. However, the otolit size is linearly related to the fish size and this relationship can be used to track the predator. Otoliths from herring taken by grey seals and otoliths found on the platform were significantly bigger than the otoliths originating from the prey of cormorants. The results indicated that the common whitefish size was too big for a full grown cormorant bird to consume. The common whitefish size showed that it probably not had been cormorants that had deposited the otoliths on the platform. The platform method was concluded promising but it needs to be modified in order to work more effective in the future.

In the third part scats were collected from the area of Österåsen to increase the amount of information about the grey seals food preferences.

The knowledge of the grey seals diet in the Baltic Sea is today limited and few similar study’s have earlier been made. The collected scats and otoliths in this project are therefore unique.

2008:Bi 2

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Avenant, Carina. "Thinking style preferences in communication pathology." Diss., Pretoria : [s.n.], 2001. http://upetd.up.ac.za/thesis/available/etd-03192007-100706.

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Книги з теми "A test of preferences"

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Sylvia, Gilbert. A comparison of farmed and wild salmon: Consumer preferences, proximal analysis, taste test panel scores. [Corvallis, Or.]: Agricultural Experiment Station, Oregon State University, 1992.

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2

Barnes, Jennifer. Learning preference scales: Handbook and test master set: teachers, students, parents. Hawthorn, Victoria: ACER, 1992.

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Moser, Petra. An empirical test of taste-based discrimination changes in ethnic preferences and their effect on admissions to the NYSE during World War I. Cambridge, MA: National Bureau of Economic Research, 2008.

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4

Ferson, Wayne E. Habit persistence and durability in aggregate consumption: Empirical tests. Cambridge, MA: National Bureau of Economic Research, 1991.

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5

Gordon, Edwin. A comparison of scores on the 1971 and 1993 editions of the Iowa tests of music literacy: Implications for music education ; and, Selecting an appropriate string instrument for study using the Instrument timbre preference test. West Berne, NY: Gordon Institute for Music Learning, 1994.

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Gordon, Edwin. The Advanced measures of music audiation and the Instrument timbre preference test: Three research studies. Chicago, IL: GIA Publications, 1991.

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7

Andriani, Fitri. Profil kepribadian pencari kerja di Jawa Timur dengan Edward Preference Personality Test: Laporan penelitian DIK rutin Universitas Airlangga. [Surabaya]: Fakultas Psikologi, Universitas Airlangga, 2001.

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8

Loewenstein, George. Preferences. Oxford: Oxford University Press, 2002.

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9

Fehige, Christoph, and Ulla Wessels, eds. Preferences. Berlin, New York: DE GRUYTER, 1998. http://dx.doi.org/10.1515/9783110804294.

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Broome, John. Extended preferences. Bristol: Bristol University, Department of Economics, 1992.

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Частини книг з теми "A test of preferences"

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Takeuchi, Kan. "Non-parametric Test of Time Consistency: Present Bias and Future Bias." In Behavioral Economics of Preferences, Choices, and Happiness, 77–116. Tokyo: Springer Japan, 2016. http://dx.doi.org/10.1007/978-4-431-55402-8_4.

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Andrews, Anne M., Greg A. Gerhardt, Lynette C. Daws, Mohammed Shoaib, Barbara J. Mason, Charles J. Heyser, Luis De Lecea, et al. "Novelty Preference Test." In Encyclopedia of Psychopharmacology, 906. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-540-68706-1_4425.

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Shafer, Glenn. "Defensive Forecasting: How to Use Similarity to Make Forecasts That Pass Statistical Tests." In Preferences and Similarities, 215–47. Vienna: Springer Vienna, 2008. http://dx.doi.org/10.1007/978-3-211-85432-7_9.

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Calvo, Hiram, Kentaro Inui, and Yuji Matsumoto. "Co-related Verb Argument Selectional Preferences." In Computational Linguistics and Intelligent Text Processing, 133–43. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19400-9_11.

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Ferreira, Thiago Castro, and Ivandré Paraboni. "Referring Expression Generation: Taking Speakers’ Preferences into Account." In Text, Speech and Dialogue, 539–46. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10816-2_65.

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van Noord, Gertjan. "Self-Trained Bilexical Preferences to Improve Disambiguation Accuracy." In Text, Speech and Language Technology, 183–200. Dordrecht: Springer Netherlands, 2010. http://dx.doi.org/10.1007/978-90-481-9352-3_11.

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Anaya-Sánchez, Henry, and Anselmo Peñas. "Unsupervised Induction of Meaningful Semantic Classes through Selectional Preferences." In Computational Linguistics and Intelligent Text Processing, 361–71. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-18111-0_27.

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Steenbergen, Peter J., Michael K. Richardson, and Danielle L. Champagne. "The Light–Dark Preference Test for Larval Zebrafish." In Neuromethods, 21–35. Totowa, NJ: Humana Press, 2012. http://dx.doi.org/10.1007/978-1-61779-597-8_2.

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Semeraro, Giovanni, Pasquale Lops, and Marco Degemmis. "Personalization for the Web: Learning User Preferences from Text." In Lecture Notes in Computer Science, 162–72. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31842-2_17.

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Potts, Wayne K., C. Jo Manning, and Edward K. Wakeland. "The role of infectious disease, inbreeding and mating preferences in maintaining MHC genetic diversity: an experimental test." In Infection, Polymorphism and Evolution, 99–108. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-009-0077-6_11.

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Тези доповідей конференцій з теми "A test of preferences"

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Czutro, Alexander, Matthias Sauer, Tobias Schubert, Ilia Polian, and Bernd Becker. "SAT-ATPG using preferences for improved detection of complex defect mechanisms." In 2012 IEEE 30th VLSI Test Symposium (VTS). IEEE, 2012. http://dx.doi.org/10.1109/vts.2012.6231098.

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Banasky, Lawrence. "Bench level automotive EMC validation test laboratory challenges and preferences." In 2014 IEEE International Symposium on Electromagnetic Compatibility - EMC 2014. IEEE, 2014. http://dx.doi.org/10.1109/isemc.2014.6898989.

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Tappeta, Ravindra V., and John E. Renaud. "Interactive Multiobjective Optimization Design Strategy for Decision Based Design." In ASME 1999 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1999. http://dx.doi.org/10.1115/detc99/dac-8581.

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Abstract This research focuses on multi-objective system design and optimization. The primary goal is to develop and test a mathematically rigorous and efficient interactive multi-objective optimization algorithm that takes into account the Decision Maker’s (DM’s) preferences during the design process. An Interactive Multi-Objective Optimization Procedure (IMOOP) developed in [12] has been modified in this research to include the DM’s local preference functions in an Iterative Decision Making Strategy (IDMS). This enhanced multiobjective optimization procedure called the interactive MultiObjective Optimization Design Strategy (iMOODS) provides the DM with a formal means for efficient design exploration around a given Pareto point. The use of local preference functions allows the original algorithm [12] to be modified such that the second order Pareto surface approximation is more accurate in the preferred region of the Pareto surface. The iMOODS has been successfully applied to two test problems. The first problem consists of a set of simple analytical expressions for the objectives and constraints. The second problem is the design and sizing of a high-performance and low-cost ten bar structure that has multiple objectives. The results indicate that the class functions are effective in capturing the local preferences of the DM. The Pareto designs that reflect the DM’s preferences can be efficiently generated within IDMS.
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Russo, F., and G. Chilà. "A prototypal test using stated preferences data to model evacuation decisions." In SUSTAINABLE DEVELOPMENT AND PLANNING 2013. Southampton, UK: WIT Press, 2013. http://dx.doi.org/10.2495/sdp130621.

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Ren, Yi, and Panos Y. Papalambros. "Design Preference Elicitation, Derivative-Free Optimization and Support Vector Machine Search." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28475.

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In design preference elicitation, we seek to find individuals’ design preferences, usually through an interactive process that would need only a very small number of interactions. Such a process is akin to an optimization algorithm that operates with point values of an unknown function and converges in a small number of iterations. In this paper, we assume the existence of individual preference functions and show that the elicitation task can be translated into a derivative-free optimization (DFO) problem. Different from commonly-studied DFO formulations, we restrict the outputs to binary classes discriminating sample points with higher function values from those with lower values, to capture people’s natural way of expressing preferences through comparisons. To this end, we propose a heuristic search algorithm using support vector machines (SVM) that can locate near-optimal solutions with a limited number of iterations and a small sampling size. Early experiments with test functions show reliable performance when the function is not noisy. Further, SVM search appears promising in design preference elicitation when the dimensionality of the design variable domain is relatively high.
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Yoon, Il-Chul, Alan Sussman, Atif Memon, and Adam Porter. "Prioritizing component compatibility tests via user preferences." In 2009 IEEE International Conference on Software Maintenance (ICSM). IEEE, 2009. http://dx.doi.org/10.1109/icsm.2009.5306357.

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Sliwinski, Jakub, and Edith Elkind. "Preferences Single-Peaked on a Tree: Sampling and Tree Recognition." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/82.

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In voting theory, impossibility results and computational hardness results are often circumvented by recognising that voters' preferences are not arbitrary, but lie within a restricted domain. Uncovering the structure of the underlying domain often provides useful insights about the nature of the alternative space, and may be helpful in identifying a collective choice. Preferences single-peaked on a tree are an example of a relatively broad domain that nonetheless exhibits several desirable properties. We consider the setting where voters' preferences are independently sampled from rankings that are single-peaked on a given tree, and study the problem of reliably identifying the tree that generated the observed votes. We test our algorithm empirically; to this end, we develop an algorithm to uniformly sample preferences that are single-peaked on a given tree.
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L Gregory, Vicki, and Kiersten L Cox. "Remember When Ebooks were all the Rage? A Look at Student Preferences for Printed Text versus Electronic." In InSITE 2017: Informing Science + IT Education Conferences: Vietnam. Informing Science Institute, 2017. http://dx.doi.org/10.28945/3731.

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Aim/Purpose: In many public and academic libraries, ebooks are being pushed on users mainly due to budgetary and space needs even though readers are still showing a strong preference for print books. Background: Many librarians are focusing on how to get readers to use ebooks when they really should be considering how ebooks fit into learning, whether formal or self-learning, and the preferences that readers show for one format over the other. Library collections since the 1960s have generally focused on a strategy of “give them what they want,” but in the case of ebooks, there seems to be a trend of trying to force ebooks on users. Methodology: A survey was given to undergraduate and graduate students at the University of South Florida. Contribution: Our research findings fit with current data that shows a decline in popularity of ebooks and a continued popularity of print books. We would like to convince members of the academy to think about this issue and question the ebooks plans that libraries have on their campuses. Findings: Both undergraduates and graduates strongly preferred print over electronic in the case of textbooks and books for leisure reading. Only journal articles were preferred in electronic form, but from the comments it was evident that articles were printed out and the student used the print copy for studying and research purposes. Reference books were split 50/50 in preference for electronic versus print. Recommendations for Practitioners: Librarians and teachers cannot assume that just because students use their smart-phones that they prefer ebooks. Recommendation for Researchers: More research is needed on this subject before libraries become too dependent on purchasing large ebook packages from vendors rather than the selection of print books. Future Research: Now that this paper has advanced our understanding of user preferences for books versus ebooks, we wish to expand our research to faculty and widen the geographical areas covered.
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Poon, Pak-Lok, Tsong Yueh Chen, and T. H. Tse. "Incremental Identification of Categories and Choices for Test Case Generation: A Study of the Software Practitioners' Preferences." In 2013 13th International Conference on Quality Software (QSIC). IEEE, 2013. http://dx.doi.org/10.1109/qsic.2013.14.

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Batubara, Ridwanti, T. Ismanelly Hanum, Iwan Risnasari, Herawaty Ginting, and Lusi Amelia Lubis. "Antioxidant Activity and Preferences Test of Agarwood Leaves Tea (Aquilaria malaccensis Lamk) Based on Leaves Drying Methods." In Bromo Conference, Symposium on Natural Products and Biodiversity. SCITEPRESS - Science and Technology Publications, 2018. http://dx.doi.org/10.5220/0008359101590163.

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Звіти організацій з теми "A test of preferences"

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Ishimaru, Hitoshi. Predictions of Intentions of College Students to Take an HIV Antibody Test and Their Preferences for a Testing Procedure. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.7222.

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Moser, Petra. An Empirical Test of Taste-based Discrimination Changes in Ethnic Preferences and their Effect on Admissions to the NYSE during World War I. Cambridge, MA: National Bureau of Economic Research, May 2008. http://dx.doi.org/10.3386/w14003.

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Mollerstrom, Johanna, Avner Strulov-Shlain, and Dmitry Taubinsky. Preferences for Giving Versus Preferences for Redistribution. Cambridge, MA: National Bureau of Economic Research, October 2021. http://dx.doi.org/10.3386/w29375.

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Cohen, Jonathan, Keith Marzilli Ericson, David Laibson, and John Myles White. Measuring Time Preferences. Cambridge, MA: National Bureau of Economic Research, July 2016. http://dx.doi.org/10.3386/w22455.

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Alesina, Alberto, and Paola Giuliano. Preferences for Redistribution. Cambridge, MA: National Bureau of Economic Research, March 2009. http://dx.doi.org/10.3386/w14825.

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Backus, David, Bryan Routledge, and Stanley Zin. Exotic Preferences for Macroeconomists. Cambridge, MA: National Bureau of Economic Research, June 2004. http://dx.doi.org/10.3386/w10597.

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Canavan, G. H. Sensitivity to attack preferences. Office of Scientific and Technical Information (OSTI), April 1997. http://dx.doi.org/10.2172/501500.

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Jenter, Dirk, and Katharina Lewellen. CEO Preferences and Acquisitions. Cambridge, MA: National Bureau of Economic Research, December 2011. http://dx.doi.org/10.3386/w17663.

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Andreoni, James, Michael Kuhn, and Charles Sprenger. On Measuring Time Preferences. Cambridge, MA: National Bureau of Economic Research, August 2013. http://dx.doi.org/10.3386/w19392.

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Beshears, John, James Choi, David Laibson, and Brigitte Madrian. How are Preferences Revealed? Cambridge, MA: National Bureau of Economic Research, May 2008. http://dx.doi.org/10.3386/w13976.

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