Journal articles: 'Quantitative survey'

1

Martin, C., and C. Milas. "Quantitative easing: a sceptical survey." Oxford Review of Economic Policy 28, no. 4 (December 1, 2012): 750–64. http://dx.doi.org/10.1093/oxrep/grs029.

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2

Glik, Deborah C., Kathleen Parker, and Gabriel Muligande Bona Hategikamana. "Integrating Qualitative and Quantitative Survey Techniques." International Quarterly of Community Health Education 25, no. 1 (April 2005): 115–33. http://dx.doi.org/10.2190/w18n-5210-0457-xjn7.

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As “educational diagnosis,” which targeted the health behaviors of mothers with regards to malaria and diarrhea in their young children, was carried out over a three-week period in November 1985 in Rwanda, East Africa. The study used the methodological technique of triangulation, in which both quantitative and qualitative data collection efforts are used to find answers to the same or similar sets of questions. Findings include estimates of health care utilization and medication usage and illustrate how multiple methods of data collection can maximize both the amount of usable data and the degree of confidence in the validity of data obtained, even with relatively small samples. In particular, the qualitative technique of focus group interviewing, which provided information on the sociocultural, economic, and historical contexts of the Rwandese health care system, provided an explanation of why there is relatively little self-care or home treatment for these diseases in Rwandese society.

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Glik, Deborah C., Kathleen Parker, Gabriel Muligande, and Bona Hategikamana. "Integrating Qualitative and Quantitative Survey Techniques." International Quarterly of Community Health Education 7, no. 3 (October 1986): 181–200. http://dx.doi.org/10.2190/b3hg-p7bw-5fa7-qcjj.

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An “educational diagnosis,” which targetted the health behaviors of mothers with regards to malaria and diarrhea in their young children, was carried out over a three-week period in November 1985 in Rwanda, East Africa. The study used the methodological technique of triangulation, in which both quantitative and qualititative data collection efforts are used to find answers to the same or similar sets of questions. Findings include estimates of health care utilization and medication usage and illustrate how multiple methods of data collection can maximize both the amount of usable data and the degree of confidence in the validity of data obtained, even with relatively small samples. In particular, the qualitative technique of focus group interviewing, which provided information on the sociocultural, economic, and historical contexts of the Rwandese health care system, provided an explanation of why there is relatively little self-care or home treatment for these diseases in Rwandese society.

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4

Goff, John A., and Martin C. Kleinrock. "Quantitative comparison of bathymetric survey systems." Geophysical Research Letters 18, no. 7 (July 1991): 1253–56. http://dx.doi.org/10.1029/91gl01558.

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5

REIF, Karlheinz, Oskar NIEDERMAYER, and Hermann SCHMITF. "Quantitative = survey = attitudes = issue stands = ideology?." European Journal of Political Research 14, no. 5-6 (November 1986): 685–90. http://dx.doi.org/10.1111/j.1475-6765.1986.tb00858.x.

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6

Horowitz, Isaac. "Survey of quantitative feedback theory (QFT)." International Journal of Robust and Nonlinear Control 11, no. 10 (2001): 887–921. http://dx.doi.org/10.1002/rnc.637.

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7

Briskorn, Dirk, and Michael Dienstknecht. "Survey of quantitative methods in construction." Computers & Operations Research 92 (April 2018): 194–207. http://dx.doi.org/10.1016/j.cor.2017.11.012.

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8

de Villiers, Johann U. "Enterprise Restructuring in Transition: A Quantitative Survey." CFA Digest 33, no. 2 (May 2003): 22–23. http://dx.doi.org/10.2469/dig.v33.n2.1260.

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9

Rosenberg, Eric, and Alan Gleit. "Quantitative Methods in Credit Management: A Survey." Operations Research 42, no. 4 (August 1994): 589–613. http://dx.doi.org/10.1287/opre.42.4.589.

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10

Tamir, Abraham. "Quantitative Survey of Human Leg Toes Shape." Journal of Craniofacial Surgery 23, no. 5 (September 2012): e373. http://dx.doi.org/10.1097/scs.0b013e31824e2670.

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11

Little, Roderick J. A., and Philip J. Smith. "Editing and Imputation for Quantitative Survey Data." Journal of the American Statistical Association 82, no. 397 (March 1987): 58–68. http://dx.doi.org/10.1080/01621459.1987.10478391.

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12

Djankov, Simeon, and Peter Murrell. "Enterprise Restructuring in Transition: A Quantitative Survey." Journal of Economic Literature 40, no. 3 (September 2002): 739–92. http://dx.doi.org/10.1257/jel.40.3.739.

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13

Fabozzi, Frank J., Sergio Focardi, and Caroline Jonas. "Trends in quantitative equity management: survey results." Quantitative Finance 7, no. 2 (April 2007): 115–22. http://dx.doi.org/10.1080/14697680701195941.

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14

Magwede, K., and B. E. Van Wyk. "A quantitative survey of Vhavenda useful plants." South African Journal of Botany 115 (March 2018): 295. http://dx.doi.org/10.1016/j.sajb.2018.02.071.

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15

Kopecký, Kamil. "Czech Children and Facebook – A quantitative survey." Telematics and Informatics 33, no. 4 (November 2016): 950–58. http://dx.doi.org/10.1016/j.tele.2016.02.008.

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16

Mahmud, Simeen, and Sakiba Tasneem. "Measuring ‘empowerment’ using quantitative household survey data." Women's Studies International Forum 45 (July 2014): 90–97. http://dx.doi.org/10.1016/j.wsif.2013.11.009.

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17

Herrera, Carlos M., Clara de Vega, Azucena Canto, and María I. Pozo. "Yeasts in floral nectar: a quantitative survey." Annals of Botany 103, no. 9 (February 10, 2009): 1415–23. http://dx.doi.org/10.1093/aob/mcp026.

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18

Israel, Glenn D., and Jessica L. Gouldthorpe. "Savvy Survey #10: In-Person-Administered Surveys." EDIS 2016, no. 1 (February 16, 2016): 7. http://dx.doi.org/10.32473/edis-pd074-2015.

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In-person-administered surveys are a type of face-to-face interview that collects mainly quantitative data from a number of individuals and can be useful for collecting information from low-literacy audiences or obtaining very detailed information from agricultural producers or business owners about needs or program outcomes. As part of the Savvy Survey Series, this 7-page fact sheet presents the construction, development, and implementation of in-person surveys, as well as how to prepare an introductory script, train interviewers, and manage the survey process. Written by Glenn D. Israel and Jessica L. Gouldthorpe, and published by the Agricultural Education and Communication Department, December 2015. AEC404/PD074: The Savvy Survey #10: In-Person-Administered Surveys (ufl.edu)

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19

Bramley, Ian, Alastair Goode, Laura Anderson, and Elisabeth Mary. "Researching in-store, at home: Using virtual reality within quantitative surveys." International Journal of Market Research 60, no. 4 (May 1, 2018): 344–51. http://dx.doi.org/10.1177/1470785318767287.

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This article reviews the experience, steps taken, and lessons learnt from including a virtual reality film within a mobile online survey. The survey was designed to test point-of-sale displays within a retail store environment, with respondents exposed to the store using virtual reality within the survey, rather than being a shown a static image or a standard film of the store’s interior. The results show how incorporating a virtual reality film within a survey can significantly add to the survey enjoyment compared to traditional approaches. The findings show how the uniqueness of the virtual reality experience can help engage respondents, offering a modern and relevant way to provide a more realistic survey experience that respondents are receptive to. The study also demonstrates that it is technically feasible to incorporate a virtual reality experience into an online survey among typical panelists, without high failure rates or the need to over-incentivise to participate. This article discusses the use of virtual reality within surveys and the practical steps taken to incorporate the virtual reality film, as well as the key learnings generated from the experience. The future potential for the application of virtual reality technology within research is also explored.

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20

Dullen, Shawn, Dinesh Verma, Mark Blackburn, and Cliff Whitcomb. "Survey on set‐based design (SBD) quantitative methods." Systems Engineering 24, no. 5 (May 20, 2021): 269–92. http://dx.doi.org/10.1002/sys.21580.

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21

Kramer, MJ, DR Bellwood, and O. Bellwood. "Benthic Crustacea on coral reefs: a quantitative survey." Marine Ecology Progress Series 511 (September 24, 2014): 105–16. http://dx.doi.org/10.3354/meps10953.

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22

Guha, Rajarshi, and Egon Willighagen. "A Survey of Quantitative Descriptions of Molecular Structure." Current Topics in Medicinal Chemistry 12, no. 18 (September 1, 2012): 1946–56. http://dx.doi.org/10.2174/156802612804910278.

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23

Guha, Rajarshi, and Egon Willighagen. "A Survey of Quantitative Descriptions of Molecular Structure." Current Topics in Medicinal Chemistry 12, no. 18 (January 7, 2013): 1946–56. http://dx.doi.org/10.2174/1568026611212180002.

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Numerical characterization of molecular structure is a first step in many computational analysis of chemical structure data. These numerical representations, termed descriptors, come in many forms, ranging from simple atom counts and invariants of the molecular graph to distribution of properties, such as charge, across a molecular surface. In this article we first present a broad categorization of descriptors and then describe applications and toolkits that can be employed to evaluate them. We highlight a number of issues surrounding molecular descriptor calculations such as versioning and reproducibility and describe how some toolkits have attempted to address these problems.

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24

Rundo, Trenta, di Stallo, and Battiato. "Machine Learning for Quantitative Finance Applications: A Survey." Applied Sciences 9, no. 24 (December 17, 2019): 5574. http://dx.doi.org/10.3390/app9245574.

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The analysis of financial data represents a challenge that researchers had to deal with. The rethinking of the basis of financial markets has led to an urgent demand for developing innovative models to understand financial assets. In the past few decades, researchers have proposed several systems based on traditional approaches, such as autoregressive integrated moving average (ARIMA) and the exponential smoothing model, in order to devise an accurate data representation. Despite their efficacy, the existing works face some drawbacks due to poor performance when managing a large amount of data with intrinsic complexity, high dimensionality and casual dynamicity. Furthermore, these approaches are not suitable for understanding hidden relationships (dependencies) between data. This paper proposes a review of some of the most significant works providing an exhaustive overview of recent machine learning (ML) techniques in the field of quantitative finance showing that these methods outperform traditional approaches. Finally, the paper also presents comparative studies about the effectiveness of several ML-based systems.

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25

Egelund, Niels, and Kim Foss Hansen. "Behavioural disorders in Danish schools: a quantitative survey." European Journal of Special Needs Education 15, no. 2 (June 2000): 158–70. http://dx.doi.org/10.1080/088562500361592.

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26

Astakhov, Anton, Tomas Havranek, and Jiri Novak. "FIRM SIZE AND STOCK RETURNS: A QUANTITATIVE SURVEY." Journal of Economic Surveys 33, no. 5 (July 29, 2019): 1463–92. http://dx.doi.org/10.1111/joes.12335.

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27

Daniel Maxim, L., C. P. Yu, Günter Oberdörster, and Mark J. Utell. "Quantitative risk analyses for RCF: survey and synthesis." Regulatory Toxicology and Pharmacology 38, no. 3 (December 2003): 400–416. http://dx.doi.org/10.1016/j.yrtph.2003.08.003.

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28

Li, Yu, Shaodi You, Michael S. Brown, and Robby T. Tan. "Haze visibility enhancement: A Survey and quantitative benchmarking." Computer Vision and Image Understanding 165 (December 2017): 1–16. http://dx.doi.org/10.1016/j.cviu.2017.09.003.

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29

Arora, Kumud, and Dr Poonam Garg. "A Quantitative Survey of various Fingerprint Enhancement techniques." International Journal of Computer Applications 28, no. 5 (August 31, 2011): 24–29. http://dx.doi.org/10.5120/3383-4691.

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30

HOROWITZ, ISAAC. "Invited paper Survey of quantitative feedback theory (QFT)." International Journal of Control 53, no. 2 (February 1991): 255–91. http://dx.doi.org/10.1080/00207179108953619.

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31

Walkenhorst, Peter. "Quantitative Assessments of Textiles Trade Liberalization: A Survey." Journal of Economic Integration 20, no. 1 (March 15, 2005): 139–57. http://dx.doi.org/10.11130/jei.2005.20.1.139.

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32

Ramos, Alex, Marcella Lazar, Raimir Holanda Filho, and Joel J. P. C. Rodrigues. "Model-Based Quantitative Network Security Metrics: A Survey." IEEE Communications Surveys & Tutorials 19, no. 4 (2017): 2704–34. http://dx.doi.org/10.1109/comst.2017.2745505.

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33

Gibson, Richard L., and Constantinos Tzimeas. "Quantitative measures of image resolution for seismic survey design." GEOPHYSICS 67, no. 6 (November 2002): 1844–52. http://dx.doi.org/10.1190/1.1527084.

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Illumination and fold analyses can provide valuable information for the design of seismic surveys, but generally they do not provide quantitative results that are directly related to the seismic images that would be obtained using a proposed acquisition geometry. On the other hand, the Beylkin (1985) equation predicts the spatial resolution of prestack migration using the acquisition geometry and an earth model, providing a simple yet effective tool for survey design. Calculations for a simple homogeneous earth model demonstrate the advantages of this approach. Specifically, the variations in spatial resolution within the model show that the best resolution results from singlefold, zero‐offset experiments for very simple acquisition geometries. Applications of the same design method to a realistic salt model show that some results are not surprising, such as decreases in resolution beneath the salt structure. However, the best resolution beneath the salt is obtained with the maximum offset for a trial single‐cable marine geometry, not the zero‐offset source–receiver pairs. This is a consequence of ray bending by the salt structure and the geometry of the acquisition lines. The result clearly demonstrates the utility of the proposed survey design tool. We also find that a land circular source/radial receiver line array design shows strong potential for improved resolution over the simple marine geometry. Furthermore, tests show that the land survey should display more robust results as the S/N ratio decreases.

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34

Yoon-Ji, Jeong, Kim Mi-Jeong, Lee Seung-Youl, Lee Tae-Hee, and Seoung Youl-Hun. "Survey on Usage of Korean Quantitative Ultrasound for Proposing Quantitative Ultrasound Quality Control Guideline." Journal of Radiological Science and Technology 41, no. 4 (August 30, 2018): 329–37. http://dx.doi.org/10.17946/jrst.2018.41.4.329.

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35

Creswell, John W., and Mariko Hirose. "Mixed methods and survey research in family medicine and community health." Family Medicine and Community Health 7, no. 2 (March 2019): e000086. http://dx.doi.org/10.1136/fmch-2018-000086.

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Many family medicine and community health researchers use surveys as an original research methodology. Our purpose is to illustrate how survey research provides an important form of quantitative research that can be effectively combined with qualitative data to form a mixed methods study. We first provide an overview of the key principles in survey research and in mixed methods research. We review the various ways that survey can be used in mixed methods studies, citing options such as beginning a study with a survey, using a survey as the second form of data collection, or combining a survey and a form of qualitative data in a single data collection procedure. Finally, we illustrate in a specific example six steps in conducting a mixed methods study using survey research. In a mixed methods study using a survey, primary care researchers should consider six steps. Step 1. Articulate the rationale for mixed methods study. Step 2. Detail quantitative and qualitative databases. Step 3. Identify a mixed methods design. Step 4. Analyse and report the results of the quantitative and qualitative databases. Step 5. Present and show integration. Step 6. Explicate the value of using mixed methods. The ability to combine and integrate survey research into a mixed methods study provides a more rigorous approach to research than conducting only a survey or conducting just a qualitative interview. While requiring skills beyond traditional survey approaches, surveys in primary care offers an opportunity for a high level of sophistication in research methodology.

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36

Jia, Wei Yang. "Survey & Quantitative Design Strategies on Hospital Accessible Signs." Applied Mechanics and Materials 507 (January 2014): 31–35. http://dx.doi.org/10.4028/www.scientific.net/amm.507.31.

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Hospital accessible signs are important guide for the elderly, disabled or ordinary people. According to the theories of environmental behavior and sign-system universal design, the types of accessible signs and demand features of all sorts of disable people are analyzed, and the necessity of quantitative design for hospital accessible signs is put forward. With investigation and research on accessible signs of 25 major hospitals in Tianjin city, the existing design problems were found out with the method of comprehensive comparison between subjective perception with instances and standard literatures, thus the quantitative design recommendations on each design element of hospital accessible signs are summarized and obtained, including scale, mounting height, graphics, color, fonts and so on, to provide rational science indicator reference to accessible signs design and the construction of accessible environment.

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37

Hai-Rong, WU, and Sheng Qiang. "Quantitative survey on exotic weeds in autumn in Nanjing." Biodiversity Science 11, no. 5 (2003): 432–38. http://dx.doi.org/10.17520/biods.2003051.

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38

Lee, Sungmin, Jae Taeg Yu, Seung-Won Jung, and Sung Woong Ra. "Survey on Quantitative Performance Evaluation Methods of Image Dehazing." KIPS Transactions on Software and Data Engineering 4, no. 12 (December 31, 2015): 571–76. http://dx.doi.org/10.3745/ktsde.2015.4.12.571.

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39

Song, Yanping, Ying Jiang, Wantao Ying, Yan Gong, Yujuan Yan, Dong Yang, Jie Ma, et al. "Quantitative Proteomic Survey of Endoplasmic Reticulum in Mouse Liver." Journal of Proteome Research 9, no. 3 (March 5, 2010): 1195–202. http://dx.doi.org/10.1021/pr900146t.

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40

Sankur, Bu¨lent. "Survey over image thresholding techniques and quantitative performance evaluation." Journal of Electronic Imaging 13, no. 1 (January 1, 2004): 146. http://dx.doi.org/10.1117/1.1631315.

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41

Cosentino, Sarah, Salvatore Sessa, and Atsuo Takanishi. "Quantitative Laughter Detection, Measurement, and Classification—A Critical Survey." IEEE Reviews in Biomedical Engineering 9 (2016): 148–62. http://dx.doi.org/10.1109/rbme.2016.2527638.

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42

Randall, A., and AJ Larner. "LA MALADIE DU PETIT PAPIER: QUANTITATIVE SURVEY, CLINICAL SIGNIFICANCE." Journal of Neurology, Neurosurgery & Psychiatry 87, no. 12 (November 15, 2016): e1.139-e1. http://dx.doi.org/10.1136/jnnp-2016-315106.223.

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43

Weiss, Bahr, and Amie Alley Pollack. "Barriers to global health development: An international quantitative survey." PLOS ONE 12, no. 10 (October 3, 2017): e0184846. http://dx.doi.org/10.1371/journal.pone.0184846.

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44

Locke, David C., and William E. L. Grossman. "The curriculum in quantitative analysis: results of a survey." Analytical Chemistry 59, no. 13 (July 1987): 829A—835A. http://dx.doi.org/10.1021/ac00140a001.

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45

Locke, David C., and William Ε. L. Grossman. "The Curriculum in Quantitative Analysis: Results of a Survey." Analytical Chemistry 59, no. 13 (July 1, 1987): 829A. http://dx.doi.org/10.1021/ac00140a727.

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46

Deming, S. N. "Quantitative column liquid chromatography: a survey of chemometric methods." TrAC Trends in Analytical Chemistry 4, no. 3 (March 1985): XXIV. http://dx.doi.org/10.1016/0165-9936(85)87095-3.

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47

Lehmann, Donald R., Oded Netzer, and Olivier Toubia. "The Future of Quantitative Marketing: Results of a Survey." Customer Needs and Solutions 2, no. 1 (January 23, 2015): 5–18. http://dx.doi.org/10.1007/s40547-014-0034-8.

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48

WINTERS, L. ALAN. "Britain in Europe: a Survey of Quantitative Trade Studies." JCMS: Journal of Common Market Studies 25, no. 4 (June 1987): 315–35. http://dx.doi.org/10.1111/j.1468-5965.1987.tb00297.x.

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49

Coghe, A., and G. E. Cossali. "Quantitative optical techniques for dense sprays investigation: A survey." Optics and Lasers in Engineering 50, no. 1 (January 2012): 46–56. http://dx.doi.org/10.1016/j.optlaseng.2011.07.017.

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50

Story, David A., and Alan R. Tait. "Survey Research." Anesthesiology 130, no. 2 (February 1, 2019): 192–202. http://dx.doi.org/10.1097/aln.0000000000002436.

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Abstract SUMMARY Surveys provide evidence on practice, attitudes, and knowledge. However, conducting good survey research is harder than it looks. The authors aim to provide guidance to both researchers and readers in conducting and interpreting survey research. Like all research, surveys should have clear research question(s) using the smallest possible number of high-quality, essential, survey questions (items) that will interest the target population. Both researchers and readers should put themselves in the position of the respondents. The survey questions should provide reproducible results (reliable), measure what they are supposed to measure (valid), and take less than 10 min to answer. Good survey research reports provide results with valid and reliable answers to the research question with an adequate response rate (at least 40%) and adequate precision (margin of error ideally 5% or less). Possible biases among those who did not respond (nonresponders) must be carefully analyzed and discussed. Quantitative results can be combined with qualitative results in mixed-methods research to provide greater insight.

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Journal articles on the topic 'Quantitative survey'

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