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Journal articles on the topic 'Surveys'

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Author: Grafiati

Published: 4 June 2021

Last updated: 29 July 2024

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1

Tsantaki, M., E. Pancino, P. Marrese, S. Marinoni, M. Rainer, N. Sanna, A. Turchi, et al. "Survey of Surveys." Astronomy & Astrophysics 659 (March 2022): A95. http://dx.doi.org/10.1051/0004-6361/202141702.

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Context. In the present-day panorama of large spectroscopic surveys, the amount, diversity, and complexity of the available data continuously increase. The overarching goal of studying the formation and evolution of our Galaxy is hampered by the heterogeneity of instruments, selection functions, analysis methods, and measured quantities. Aims. We present a comprehensive catalogue, the Survey of Surveys (SoS), built by homogeneously merging the radial velocity (RV) determinations of the largest ground-based spectroscopic surveys to date, such as APOGEE, GALAH, Gaia-ESO, RAVE, and LAMOST, using Gaia as a reference. This pilot study serves to prove the concept and to test the methodology that we plan to apply in the future to the stellar parameters and abundance ratios as well. Methods. We have devised a multi-staged procedure that includes: (i) the cross match between Gaia and the spectroscopic surveys using the official Gaia cross-match algorithm, (ii) the normalisation of uncertainties using repeated measurements or the three-cornered hat method, (iii) the cross calibration of the RVs as a function of the main parameters on which depend (magnitude, effective temperature, surface gravity, metallicity, and signal-to-noise ratio) to remove trends and zero point offsets, and (iv) the comparison with external high-resolution samples, such as the Gaia RV standards and the Geneva-Copenhagen survey, to validate the homogenisation procedure and to calibrate the RV zero-point of the SoS catalogue. Results. We provide the largest homogenised RV catalogue to date, containing almost 11 million stars, of which about half come exclusively from Gaia and half in combination with the ground-based surveys. We estimate the accuracy of the RV zero-point to be about 0.16−0.31 km s−1 and the RV precision to be in the range 0.05−1.50 km s−1 depending on the type of star and on its survey provenance. We validate the SoS RVs with open clusters from a high resolution homogeneous samples and provide the systemic velocity of 55 individual open clusters. Additionally, we provide median RVs for 532 clusters recently discovered by Gaia data. Conclusions. The SoS is publicly available and ready to be applied to various research projects, such as the study of star clusters, Galactic archaeology, stellar streams, or the characterisation of planet-hosting stars, to name a few. We also plan to include survey updates and more data sources in future versions of the SoS.

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2

Kent, S. M. "A Survey of Surveys." Symposium - International Astronomical Union 169 (1996): 47–55. http://dx.doi.org/10.1017/s0074180900229501.

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A new era for the field of Galactic structure is about to be opened with the advent of wide-area digital sky surveys. In this article, I will review the status and prospects for research for 3 new ground-based surveys: the Sloan Digital Sky Survey (SDSS), the Deep Near-Infrared Survey of the Southern Sky (DENIS) and the Two Micron All Sky Survey (2MASS). These surveys will permit detailed studies of Galactic structure and stellar populations in the Galaxy with unprecedented detail. Extracting the information, however, will be challenging.

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3

Hollis, Malcolm. "Survey of surveys: dampness." Structural Survey 17, no. 3 (September 1999): 138–42. http://dx.doi.org/10.1108/02630809910291253.

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4

Liu, Mingnan, and Laura Wronski. "Examining Completion Rates in Web Surveys via Over 25,000 Real-World Surveys." Social Science Computer Review 36, no. 1 (February 23, 2017): 116–24. http://dx.doi.org/10.1177/0894439317695581.

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A survey’s completion rate is one of its most important data quality measures. There are quite a few published studies examining web survey completion rate through experimental approaches. In this study, we expand the existing literature by examining the predictors of web survey completion rate using 25,080 real-world web surveys conducted by a single online panel. Our findings are consistent with the literature on some dimensions, such as finding a negative relationship between completion rate and survey length and question difficulty. Also, surveys without progress bars have higher completion rates than surveys with progress bars. This study also generates new insights into survey design features, such as the impact of the first question type and length on completion rate.

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5

Morgan, Catherine L. "A Survey of MS/OR Surveys." Interfaces 19, no. 6 (December 1989): 95–103. http://dx.doi.org/10.1287/inte.19.6.95.

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6

Hong, Shangqin, Les Oxley, and Philip McCann. "A SURVEY OF THE INNOVATION SURVEYS." Journal of Economic Surveys 26, no. 3 (May 16, 2012): 420–44. http://dx.doi.org/10.1111/j.1467-6419.2012.00724.x.

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7

Edwards, John. "Endangered languages: a survey of surveys." Journal of Multilingual and Multicultural Development 36, no. 4 (November 3, 2014): 444–50. http://dx.doi.org/10.1080/01434632.2014.969120.

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8

Israel, Glenn D., and Jessica L. Gouldthorpe. "Savvy Survey #18: Group-Administered Surveys." EDIS 2016, no. 1 (February 16, 2016): 4. http://dx.doi.org/10.32473/edis-pd082-2015.

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This publication provides an overview of group-administered surveys as part of the Savvy Survey Series. Group-administered surveys are a great way to collect information from participants about the outcomes of an event or program. These kinds of surveys are best used for documenting short-term outcomes and can make use of an audience response system. This 4-page fact sheet details how to develop a group-administered questionnaire, how to use an audience response system, and how to prepare and implement the survey. Written by Glenn D. Israel and Jessica L. Gouldthorpe, and published by the Agricultural Education and Communication Department, December 2015. AEC412/PD082: The Savvy Survey #18: Group-Administered Surveys (ufl.edu)

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9

Ogasaka, Y., T. Kii, Y. Ueda, T. Takahashi, H. Inoue, Y. Ishisaki, K. Ohta, et al. "Sky surveys withASCA — Deep Sky Survey." Astronomische Nachrichten: News in Astronomy and Astrophysics 319, no. 1-2 (1998): 43–46. http://dx.doi.org/10.1002/asna.2123190122.

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10

Ueda, Y., T. Takahashi, H. Inoue, T. Tsuru, M. Sakano, K. Ohta, M. Akiyama, et al. "Sky surveys withASCA — Large Sky Survey." Astronomische Nachrichten: News in Astronomy and Astrophysics 319, no. 1-2 (1998): 47–50. http://dx.doi.org/10.1002/asna.2123190123.

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11

Santesso, Nancy, Angela M. Barbara, Rakhshan Kamran, Sita Akkinepally, John Cairney, Elie A. Akl, and Holger J. Schünemann. "Conclusions from surveys may not consider important biases: a systematic survey of surveys." Journal of Clinical Epidemiology 122 (June 2020): 108–14. http://dx.doi.org/10.1016/j.jclinepi.2020.01.019.

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12

Daikeler, Jessica, Michael Bošnjak, and Katja Lozar Manfreda. "Web Versus Other Survey Modes: An Updated and Extended Meta-Analysis Comparing Response Rates." Journal of Survey Statistics and Methodology 8, no. 3 (May 13, 2019): 513–39. http://dx.doi.org/10.1093/jssam/smz008.

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Abstract Do web surveys still yield lower response rates compared with other survey modes? To answer this question, we replicated and extended a meta-analysis done in 2008 which found that, based on 45 experimental comparisons, web surveys had an 11 percentage points lower response rate compared with other survey modes. Fundamental changes in internet accessibility and use since the publication of the original meta-analysis would suggest that people’s propensity to participate in web surveys has changed considerably in the meantime. However, in our replication and extension study, which comprised 114 experimental comparisons between web and other survey modes, we found almost no change: web surveys still yielded lower response rates than other modes (a difference of 12 percentage points in response rates). Furthermore, we found that prenotifications, the sample recruitment strategy, the survey’s solicitation mode, the type of target population, the number of contact attempts, and the country in which the survey was conducted moderated the magnitude of the response rate differences. These findings have substantial implications for web survey methodology and operations.

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13

Al-Zewairi, Malek, Mariam Biltawi, Wael Etaiwi, and Adnan Shaout. "Agile Software Development Methodologies: Survey of Surveys." Journal of Computer and Communications 05, no. 05 (2017): 74–97. http://dx.doi.org/10.4236/jcc.2017.55007.

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14

Duque, Tiffany, Kevin Sullivan, Donnie Whitehead, Carine Mapango, and Katie Tripp. "Nutrition Survey Toolkit for Improved Micronutrient Surveys." European Journal of Nutrition & Food Safety 5, no. 5 (January 10, 2015): 516–17. http://dx.doi.org/10.9734/ejnfs/2015/20941.

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15

Price, Stephan D. "The infrared sky - A survey of surveys." Publications of the Astronomical Society of the Pacific 100 (February 1988): 171. http://dx.doi.org/10.1086/132153.

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16

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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17

Porter, Stephen R., Michael E. Whitcomb, and William H. Weitzer. "Multiple surveys of students and survey fatigue." New Directions for Institutional Research 2004, no. 121 (2004): 63–73. http://dx.doi.org/10.1002/ir.101.

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18

Condon, J. J. "Radio Surveys." Symposium - International Astronomical Union 179 (1998): 19–25. http://dx.doi.org/10.1017/s0074180900128177.

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Radio surveys have an important role in astronomy, one that has changed with technology and scientific requirements. Most objects studied by radio astronomers today are the unexpected discoveries of early surveys. The survey “discovery” phase began with Jansky's detection of Galactic radio emission and Reber's 160 MHz maps showing that this emission is non-thermal. Surveys made just after World War II revealed strong discrete sources which were later identified with supernova remnants, radio galaxies, and quasars. Pulsars were discovered during a sky survey for scintillating sources. BL Lac objects were recognized in early high-frequency surveys. The first gravitationally lensed quasar appeared in the extensive Jodrell Bank 960 MHz survey, and the first measurement of gravitational radiation came from the binary pulsar serendipidously found in a pulsar survey.

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19

Kim, Jibum, Deok Hyun Jang, Sori Kim, and Jeong-han Kang. "Poll Trends: Surveys on Surveys." Survey Research 20, no. 1 (February 28, 2019): 131–63. http://dx.doi.org/10.20997/sr.20.1.6.

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20

Manchester, R. N. "Pulsar Surveys." Symposium - International Astronomical Union 125 (1987): 3–12. http://dx.doi.org/10.1017/s0074180900160292.

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The current situation regarding pulsar surveys is briefly reviewed. Most of the known pulsars have been found by major radio surveys that were unbiased in the sense of more-or-less uniformly covering a given area of sky. The results from two recent such surveys, the Green Bank 390 MHz survey of Stokes et al. (1985) and the Jodrell Bank 1400 MHz survey of Clifton and Lyne (1986) are compared. Conclusions are drawn regarding the effect of observing frequency on the results of pulsar surveys and the galactic distribution of pulsars and interstellar electrons.

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21

Ball, Helen L. "Conducting Online Surveys." Journal of Human Lactation 35, no. 3 (May 14, 2019): 413–17. http://dx.doi.org/10.1177/0890334419848734.

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There is an established methodology for conducting survey research that aims to ensure rigorous research and robust outputs. With the advent of easy-to-use online survey platforms, however, the quality of survey studies has declined. This article summarizes the pros and cons of online surveys and emphasizes the key principles of survey research, for example questionnaire validation and sample selection. Numerous texts are available to guide researchers in conducting robust survey research online, however this is neither a quick nor easy undertaking. While online survey websites and software are useful for assisting in questionnaire design and delivery, they can also introduce sources of bias. Researchers considering conducting online surveys are encouraged to read carefully about how the principles of survey research can be applied to online formats in order to reduce bias and enhance rigor. In addition to alerting researchers to the pitfalls of online surveys this article also aims to equip readers of this journal with the knowledge of how to critically appraise publications based on online surveys.

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22

Elliott, Kyle H., Paul A. Smith, and Victoria H. Johnston. "Aerial Surveys Do Not Reliably Survey Boreal-nesting Shorebirds." Canadian Field-Naturalist 124, no. 2 (April 1, 2010): 145. http://dx.doi.org/10.22621/cfn.v124i2.1053.

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Aerial surveys have been used as a method for surveying boreal-nesting shorebirds, which breed in difficult-to-access terrain; however, the fraction of breeding birds observed from the air is unknown. We investigated rates of detection by conducting simultaneous air and ground surveys for shorebirds at three sites in the boreal forest of the Northwest Territories, Canada, in 2007. Helicopter surveys included both pond-based surveys where the helicopter flew around the perimeter of each wetland and transect-based surveys where observers recorded birds seen on line transects. Ground surveys involved intensive observation, territory mapping and nest searching in 5 km2 of plots over a period of 5-6 weeks. Shorebird densities observed from the helicopter were highest near large bodies of water. No shorebirds were observed over closed forest despite breeding densities on ground surveys being highest in closed forest. Detection rates were very low, varied among species and aerial survey types, and were inconsistent over time. Ground-based observations showed that the shorebirds often did not flush in response to the helicopter passing overhead. Owing to poor rates of detection, we conclude that helicopter surveys are not an appropriate method for surveying breeding shorebirds in boreal habitats, but may have some utility for monitoring birds' use of stop-over locations.

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23

Binney, James, and Jason L. Sanders. "Dynamical models and Galaxy surveys." Proceedings of the International Astronomical Union 9, S298 (May 2013): 117–29. http://dx.doi.org/10.1017/s1743921313006297.

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AbstractEquilibrium dynamical models are essential tools for extracting science from surveys of our Galaxy. We show how models can be tested with data from a survey before the survey's selection function has been determined. We illustrate the application of this method by presenting some results for the RAVE survey. We extend our published analytic distribution functions to include chemistry and fit the chosen functional form to a combination of the Geneva–Copenhagen survey (GCS) and a sample of G-dwarfs observed atz~ 1.75 kpc by the SEGUE survey. By including solid dynamics we are able to predict the contribution that the thick disc/halo stars surveyed by SEGUE should make to the GCS survey. We show that the measured [Fe/H] distribution from the GCS includes many fewer stars at [Fe/H] < −0.6 than are predicted. The problem is more likely to lie in discordant abundance scales than with incorrect dynamics.

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24

Leouro, Mbaiossoum Bery. "ITC Contribution in Surveys." International Journal of Recent Technology and Engineering (IJRTE) 11, no. 5 (January 30, 2023): 86–92. http://dx.doi.org/10.35940/ijrte.e7399.0111523.

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This paper aims to underline the Information and Communication Technologies (ICT) contributions in survey implementations. We used ICT tools in Chad Malaria Indicators Survey (CMIS). We found ICT are revolutionizing surveys. Their implementation considerably improves the survey operations by eliminating some over budgeting steps, enriching the quality of data and facilitating some data manipulations. This bringing leads us to highlight the contribution of ICT in smart surveys. And smart surveys in which ICT tools are used were exposed with a focus on ITC contributions in these surveys. A use case was giving through our implementation of smart survey.

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25

F., E. H., and Kyra Belan. "Surveys." Woman's Art Journal 23, no. 2 (2002): 52. http://dx.doi.org/10.2307/1358722.

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26

Borzello, Frances. "Surveys." Woman's Art Journal 24, no. 1 (2003): 56. http://dx.doi.org/10.2307/1358831.

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27

Knutzen, Carolyn, Sharon Nussbaum, and Bunny Twiford. "Surveys." Gastroenterology Nursing 31, no. 2 (March 2008): 168. http://dx.doi.org/10.1097/01.sga.0000316597.89608.e6.

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28

&NA;. "Surveys." Oncology Times UK 6, no. 1 (January 2009): 21. http://dx.doi.org/10.1097/01434893-200901000-00022.

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29

Grimmer, Karen, and Andrea Bialocerkowski. "Surveys." Australian Journal of Physiotherapy 51, no. 3 (2005): 185–87. http://dx.doi.org/10.1016/s0004-9514(05)70026-x.

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30

Drummond, Avril. "Surveys." Clinical Rehabilitation 4, no. 4 (November 1990): 255–59. http://dx.doi.org/10.1177/026921559000400401.

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31

HAYASHI, Fumi, and Aiji TANAKA. "Comparing Telephone Surveys and Interview Surveys." Kodo Keiryogaku (The Japanese Journal of Behaviormetrics) 23, no. 1 (1996): 10–19. http://dx.doi.org/10.2333/jbhmk.23.10.

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32

Goyder, John. "Surveys on Surveys: Limitations and Potentialities." Public Opinion Quarterly 50, no. 1 (1986): 27. http://dx.doi.org/10.1086/268957.

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33

Mavis, Brian E., and Joseph J. Brocato. "Postal Surveys versus Electronic Mail Surveys." Evaluation & the Health Professions 21, no. 3 (September 1998): 395–408. http://dx.doi.org/10.1177/016327879802100306.

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34

Bao, Yafei, Wenjian Luo, and Xin Zhang. "Estimating positive surveys from negative surveys." Statistics & Probability Letters 83, no. 2 (February 2013): 551–58. http://dx.doi.org/10.1016/j.spl.2012.10.032.

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35

O'toole, Brian I. "Survey subjects and the quality of health surveys." Medical Journal of Australia 152, no. 4 (February 1990): 171–74. http://dx.doi.org/10.5694/j.1326-5377.1990.tb125140.x.

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36

Gottschalk, Petter. "Police integrity surveys: a court-based survey approach." International Journal of Management and Enterprise Development 8, no. 3 (2010): 243. http://dx.doi.org/10.1504/ijmed.2010.033194.

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37

Dutwin, D., and M. H. Lopez. "Considerations of Survey Error in Surveys of Hispanics." Public Opinion Quarterly 78, no. 2 (June 1, 2014): 392–415. http://dx.doi.org/10.1093/poq/nfu005.

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38

Bertot, John Carlo. "Web‐Based Surveys: Not Your Basic Survey Anymore." Library Quarterly 79, no. 1 (January 2009): 119–24. http://dx.doi.org/10.1086/593960.

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39

Smyth, Jolene D., Kristen Olson, and Allison Burke. "Comparing survey ranking question formats in mail surveys." International Journal of Market Research 60, no. 5 (April 3, 2018): 502–16. http://dx.doi.org/10.1177/1470785318767286.

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Although questions that ask respondents to rank-order a list of items can be analytically valuable, responding to ranking questions typically requires a good deal of cognitive effort. This is especially true in mail questionnaires where the advantages of electronic response formats available in web surveys are inaccessible. In this article, we examine two alternative formats for ranking questions in mail surveys. Using a nationally representative mail survey of U.S. adults, this article experimentally compares ranking formats in which respondents write numbers in boxes versus selecting items for the most and second most important issues using a grid layout. Respondents to the numbering format were more likely to provide usable data, although one-third of respondents in this format still did not follow instructions correctly. Substantive responses differed somewhat across formats. Less educated respondents had difficulty with both formats, resulting in substantively different conclusions about preferences across formats for this group. A numbering format is more effective than a most–second most grid format for collecting ranking data in mail surveys.

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Thomas, Len, Rob Williams, and Doug Sandilands. "Designing line transect surveys for complex survey regions." J. Cetacean Res. Manage. 9, no. 1 (February 22, 2023): 1–13. http://dx.doi.org/10.47536/jcrm.v9i1.687.

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Line transect surveys are widely used to estimate the density and/or size of cetacean populations. Good survey design is essential for obtaining reliable results using standard (design-based) analysis methods. Even for more complex (model-based) analysis methods, a good survey design is valuable. A ‘good’ design is one (a) that employs randomisation in laying out transects; (b) that is stratified if density is known to vary on a large scale; (c) where each location within a stratum has an equal probability of being surveyed (uniform coverage probability); (d) that produces an even distribution of transects throughout each stratum (e.g. systematic random designs); (e) that produces at least 10-20 transects per stratum; (f) that, given the previous points, gives maximum efficiency per unit effort – for example by minimising time spent travelling between survey lines (off-effort time). We discuss strategies for creating good designs given the constraints inherent in many shipboard surveys of cetaceans: severely limited ship time and complex topography. We advocate the use of computer software, such as the program Distance, to create designs and compare their properties using simulation. We provide a link between the concepts and their implementation through a concrete example of survey design: a multi-species survey of cetaceans in coastal British Columbia. The design uses an equally spaced zig-zag configuration of transects in more open strata combined with sub-stratification to minimise off-effort time. In the highly convex inshore stratum we develop a systematic cluster sampling algorithm, and within the selected clusters use a systematic parallel line layout to ensure equal coverage probability in the long, narrow fjords. To aid those wishing to learn automated design methods, we provide Distance project files online.

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Geiger, Tray, Audrey Amrein-Beardsley, and Sheng-Ju Chan. "Student perception surveys for K-12 teacher evaluation in the United States: A survey of surveys." Cogent Education 6, no. 1 (January 1, 2019): 1602943. http://dx.doi.org/10.1080/2331186x.2019.1602943.

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Colless, Matthew, and Brian Boyle. "Redshift Surveys With 2DF." Highlights of Astronomy 11, no. 1 (1998): 473–81. http://dx.doi.org/10.1017/s153929960002181x.

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This IAU Joint Discussion proposes to address the subject of redshift surveys in the 21st century. This paper, however, deals with two major new redshift surveys that those involved sincerely hope will be completed in the 20th century. Nonetheless, these surveys are relevant to the topic of the meeting, as they clearly foreshadow the scope and style of redshift surveys, if not in the coming millennium, at least in the coming decade.The surveys are being carried out with the new Two Degree Field (2dF) facility on the Anglo-Australian Telescope (AAT), a 400-fibre multi-object spectrograph with the capability, as described in Section 2, to increase the size of redshift surveys by an order of magnitude over current best efforts. The main scientific goals, survey strategy and some preliminary results from the 2dF Galaxy Redshift Survey are outlined in Section 3, while Section 4 similarly describes the 2dF QSO Redshift Survey. Further information can be found on the WWW at http://www.aao.gov.au/2df/ for the 2dF facility, at http://msowww.anu.edu.au/~colless/2dF/ for thegalaxy survey and at http://www.aao.gov.au/local/www/rs/qso_surv.html for the QSO survey.

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Tangmanee, Chatpong, and Phattharaphong Niruttinanon. "Effects of Forced Responses and Question Display Styles on Web Survey Response Rates." International Journal of Research in Business and Social Science (2147-4478) 4, no. 2 (April 22, 2015): 54–62. http://dx.doi.org/10.20525/ijrbs.v4i2.26.

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Researchers have increasingly adopted a web survey for data collection. Previous studies have examined factors leading to a web survey’s success. However, virtually no empirical work has examined the effects of the three levels of forced responses or the two styles of question items displayed on a web survey’s response rate. The current study attempted to fill this void. Using a quasi-experiment approach, we obtained 778 unique responses to six comparable web questionnaires of identical content. The analysis confirmed that (1) there were statistically significant differences across the surveys with the 100%-, 50%- and 0%-forced responses, and (2) there is not a significant difference between the response rates between surveys with scrolling and those with paging styles. In addition to extending the theoretical insight into factors contributing to a web survey’s response rate, the findings have offered recommendations to enhance the response rate in a web survey project.

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Calahan, Charles A., and Walter R. Schumm. "An Exploratory Analysis of Family Social Science Mail Survey Response Rates." Psychological Reports 76, no. 3_suppl (June 1995): 1379–88. http://dx.doi.org/10.2466/pr0.1995.76.3c.1379.

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Dillman (1978) has aggressively promoted his Total Design Method as a proven technique for generating higher response rates to social science surveys. Many university faculty teach his technique on the assumption that its use will generate high response rates for the individual student who uses it faithfully in thesis or dissertation research. In an exploratory assessment of six of Dillman's mail survey steps—quality of covering letter, use of follow-ups, importance of the study, survey's appearance or readability, survey's length, and type of sample (general public or specialized population)—with 15 family social science surveys, we found that, despite the small sample size, type of sample, and follow-up predicted mail survey response rates, as did a summary measure of the use of all six steps. The results suggest that the Total Design Method's mail survey steps are useful even for low-cost research by graduate students.

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45

Leeper, Thomas J., and Emily A. Thorson. "Should We Worry About Sponsorship-Induced Bias in Online Political Science Surveys?" Journal of Experimental Political Science 7, no. 3 (October 15, 2019): 209–17. http://dx.doi.org/10.1017/xps.2019.25.

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AbstractPolitical scientists rely heavily on survey research to gain insights into public attitudes and behaviors. Over the past decade, survey data collection has moved away from personal face-to-face and telephone interviewing towards a model of computer-assisted self-interviewing. A hallmark of many online surveys is the prominent display of the survey’s sponsor, most often an academic institution, in the initial consent form and/or on the survey website itself. It is an open question whether these displays of academic survey sponsorship could increase total survey error. We measure the extent to which sponsorship (by a university or marketing firm) affects data quality, including satisficing behavior, demand characteristics, and socially desirable responding. In addition, we examine whether sponsor effects vary depending on the participant’s experience with online surveys. Overall, we find no evidence that response quality is affected by survey sponsor or by past survey experience.

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Silverman, Thomas B., Eric W. Schrimshaw, Julie Franks, Yael Hirsch-Moverman, Hugo Ortega, Wafaa M. El-Sadr, and Paul W. Colson. "Response Rates of Medical Providers to Internet Surveys Regarding Their Adoption of Preexposure Prophylaxis for HIV: Methodological Implications." Journal of the International Association of Providers of AIDS Care (JIAPAC) 17 (January 1, 2018): 232595821879837. http://dx.doi.org/10.1177/2325958218798373.

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In 2016 to 2017, we surveyed primary care providers (PCPs) in upper Manhattan and the South Bronx, New York, on their knowledge, attitudes, and practices surrounding preexposure prophylaxis (PrEP) for HIV. Despite efforts to promote survey response, we were only able to obtain a meager response rate, limiting our ability to interpret results. In this short communication, we examine our survey’s methodology, as well as the methods used by other similar studies, in order to suggest how certain strategies appear to influence PCP response to PrEP surveys. Administering the survey in a variety of modes, sampling from a professional organization’s listserv, promoting the survey topic’s relevance to potential participants, and offering monetary incentives to each survey respondent all appear to be promising strategies for increasing response rates in PrEP provider surveys.

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Evans, Joel R., and Anil Mathur. "The value of online surveys: a look back and a look ahead." Internet Research 28, no. 4 (August 6, 2018): 854–87. http://dx.doi.org/10.1108/intr-03-2018-0089.

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Purpose The purpose of this paper is to present a detailed and critical look at the evolution of online survey research since Evans and Mathur’s (2005) article on the value of online surveys. At that time, online survey research was in its early stages. Also covered are the present and future states of online research. Many conclusions and recommendations are presented. Design/methodology/approach The look back focuses on online surveys, strengths and weaknesses of online surveys, the literature on several aspects of online surveys and online survey best practices. The look ahead focuses on emerging survey technologies and methodologies, and new non-survey technologies and methodologies. Conclusions and recommendations are provided. Findings Online survey research is used more frequently and better accepted by researchers than in 2005. Yet, survey techniques are still regularly transformed by new technologies. Non-survey digital research is also more prominent than in 2005 and can better track actual behavior than surveys can. Hybrid surveys will be widespread in the future. Practical implications The paper aims to provide insights for researchers with different levels of online survey experience. And both academics and practitioners should gain insights. Social implications Adhering to a strong ethics code is vital to gain respondents’ trust and to produce valid results. Originality/value Conclusions and recommendations are offered in these specific areas: defining concepts, understanding the future role of surveys, developing and implementing surveys and a survey code of ethics. The literature review cites more than 200 sources.

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Bosch, A., J. Rossouw, and V. Padayachee. "Inflation perceptions and inflation expectation in South Africa: trends, determinants and comparisons (2006–2010)." Southern African Business Review 19, no. 1 (February 26, 2019): 1–21. http://dx.doi.org/10.25159/1998-8125/5831.

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This paper reports the results of a multinomial analysis of inflation perceptions and inflation expectations in South Africa. Inflation perceptions surveys among South African individuals have been undertaken since 2006. The introduction of these surveys followed on domestic inflation expectation surveys conducted in 2000, and the use of inflation perceptions surveys internationally. Domestic inflation perceptions surveys among individuals are a private initiative undertaken biennially, while domestic inflation expectation surveys among individuals are funded by the South African Reserve Bank and are undertaken quarterly. By comparing the results of domestic inflation perceptions surveys and inflation expectation surveys undertaken since 2006, this paper establishes common characteristics that impact on the formulation of inflation perceptions and inflation expectations. It supplements earlier research that focused only on the results of the 2006 and 2008 perceptions survey results. With the completion of the third biennial inflation perceptions survey in 2010, more data sets are available for the purposes of comparison. Furthermore, the questions on inflation perceptions were expanded in the third survey. Although this provides for a broader basis of analysis between inflation perceptions surveys and inflation expectation surveys, further periodic inflation perceptions survey data will be required to test whether current inflation figures determine and anchor inflation expectations.

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Vehovar, Vasja, Eva Belak, Zenel Batagelj, and Sanja Čikić. "Mobile phone surveys." Advances in Methodology and Statistics 1, no. 1 (January 1, 2004): 1–19. http://dx.doi.org/10.51936/thox1964.

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In 2004, the number of mobile phone subscriptions in Slovenia reached the total number of inhabitants. Consequently, the fixed telephone coverage has started to decline; almost 10% of households are now available only over the mobile phone. With this, Slovenia positions itself as a typical EU country and can serve as a case study for issues related to mobile phone interview surveys. The paper addresses the general context of mobile phone usage and the calculations of mobile phone coverage rates. It also discusses the non-coverage problems related to mobile and mobile-only households. It is shown, that even with a relatively small non-coverage the corresponding estimates can be considerably biased, as in the case of the unemployment rate in the Slovenian Labour Force Survey. There are severe methodological problems with mobile phone interview surveys. In particular, a pilot mobile phone survey confirmed the disadvantages of costs, frames and response rates, at least when compared to fixed telephone surveys. In addition, the response rates are dramatically lower for less intensive mobile phone users. The comparisons of respondents in mobile phone surveys with the corresponding sub-samples in Labour Force Surveys and in fixed telephone surveys revealed some specific discrepancies in the socio-demographic structure. Due to non-coverage, the respondents in the mobile phone survey tend to be younger, higher educated, from larger households and are represented by a larger share of males. The non-response mechanism can additionally reinforce these effects (e.g, gender), however it can also cancel them (e.g., age, household size). Special complexity arises from the diverse effects of the non-response components (refusal vs. non-contact). According to their attitudes towards mobile phone use, mobile phone users compose three distinct segments (intensive pragmatic and emotional users, less intensive users) that may behave differentially also during the mobile phone survey process.

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Brigham, Nancy, Michael Fallig, and Chuck Miller. "The Impact of Survey Routers On Sampling and Surveys." Journal of Advertising Research 54, no. 4 (December 2014): 381–87. http://dx.doi.org/10.2501/jar-54-4-381-388.

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