1. bookVolume 38 (2022): Edizione 4 (December 2022)
    Special Edizione on Respondent Burden
Dettagli della rivista
License
Formato
Rivista
eISSN
2001-7367
Prima pubblicazione
01 Oct 2013
Frequenza di pubblicazione
4 volte all'anno
Lingue
Inglese
Accesso libero

Your Best Estimate is Fine. Or is It?

Pubblicato online: 03 Dec 2022
Volume & Edizione: Volume 38 (2022) - Edizione 4 (December 2022) - Special Edizione on Respondent Burden
Pagine: 1097 - 1123
Ricevuto: 01 Jan 2021
Accettato: 01 May 2022
Dettagli della rivista
License
Formato
Rivista
eISSN
2001-7367
Prima pubblicazione
01 Oct 2013
Frequenza di pubblicazione
4 volte all'anno
Lingue
Inglese

Agresti A. 2002. Categorical Data Analysis, Second Edition, Hoboken, NJ: John Wiley & Sons.10.1002/0471249688 Search in Google Scholar

Bais, F., B. Schouten, P. Lugtig, V. Toepoel, J. Arends-Tòth, S. Douhou, N. Kieruj, M. Morren, and C. Vis. 2019. “Can Survey Item Characteristics Relevant to Measurement Error Be Coded Reliably? A Case Study on 11 Dutch General Population Surveys.” Sociological Methods & Research 48 (2): 263–95. DOI: https://doi.org/10.1177/0049124117729692. Search in Google Scholar

Bassili, J.N., and B.S. Scott. 1996. “Response Latency as a Signal to Question Problems in Survey Research.” Public Opinion Quarterly 60 (3): 390–99. https://doi.org/10.1086/297760. Search in Google Scholar

Beatty, P., and D. Herrmann. 2002. “To Answer or Not to Answer: Decision Processes Related to Survey Item Nonresponse.” In Survey Nonresponse, edited by R.M. Groves, D.A. Dillman, J.L. Eltinge, and R.J. Little: 71–85. New York: Wiley. Search in Google Scholar

Bilgen, I., and R.F. Belli. 2010. “Comparison of Verbal Behaviors between Calendar and Standardized Conventional Questionnaires.” Journal of Official Statistics 26 (3): 481–505. Available at: https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/comparison-of-verbal-behaviors-between-calendar-and-standardized-conventional-questionnaires.pdf. Search in Google Scholar

Blair, E., and S. Burton. 1987. “Cognitive Processes Used by Survey Respondents to Answer Behavioral Frequency Questions.” Journal of Consumer Research 14 (2): 280–288. DOI: https://doi.org/10.1086/209112. Search in Google Scholar

Burton, S., and E. Blair. 1991. “Task Conditions, Response Formulation Processes, and Response Accuracy for Behavioral Frequency Questions in Surveys.” Public Opinion Quarterly 55 (1): 50–79. DOI: https://doi.org/10.1086/269241. Search in Google Scholar

Conrad, F.G., N.R. Brown, and E.R. Cashman. 1998. “Strategies for Estimating Behavioural Frequency in Survey Interviews.” Memory 6 (4): 339–366. DOI: https://doi.org/10.1080/741942603.9829096 Search in Google Scholar

Couper, M.P., C. Kennedy, F.G. Conrad, and R. Tourangeau. 2011. “Designing Input Fields for Non-Narrative Open-Ended Responses in Web Surveys.” Journal of Official Statistics 27 (1): 65–85. Available at: https://www.scb.se/contentassets/ca21efb41-fee47d293bbee5bf7be7fb3/designing-input-fields-for-non-narrative-open-ended-responses-in-web-surveys.pdf. Search in Google Scholar

De Leeuw, E.D. 2005. “To Mix or Not to Mix Data Collection Modes in Surveys.” Journal of Official Statistics 21 (2): 233–255. Available at: https://www.scb.se/contentassets/-ca21efb41fee47d293bbee5bf7be7fb3/to-mix-or-not-to-mix-data-collection-modes-in-surveys.pdf. Search in Google Scholar

Dijkstra, W. 1999. “A New Method for Studying Verbal Interactions in Survey Interviews.” Journal of Official Statistics 15 (1): 67–85. Available at: https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/a-new-method-for-studying-verbal-interactions-in-survey-interviews.pdf. Search in Google Scholar

Dillman, D.A. 2007. Mail and Internet Surveys: The Tailored Design Method. Hoboken, N.J: Wiley. Search in Google Scholar

Dillman, D.A., J.D. Smyth, and L.M. Christian. 2014. Internet, Phone, Mail, and Mixed-Mode Surveys: The Tailored Design Method. John Wiley & Sons. Search in Google Scholar

Draisma, S., and W. Dijkstra. 2004. “Response Latency and (Para) Linguistic Expressions as Indicators of Response Error.” In Methods for Testing and Evaluating Survey Questionnaires, edited by S. Presser, J. Rothgeb, M.P. Couper, J. Lesser, E. Martin, J. Martin, and E. Singer. New York: Wiley. Search in Google Scholar

Fowler Jr, F.J., and C.F. Cannell. 1996. “Using Behavioral Coding to Identify Cognitive Problems with Survey Questions.” In Answering Questions: Methodology for Determining Cognitive and Communicative Processes in Survey Research, edited by N. Schwarz and S. Sudman: 15–36. San Francisco: Jossey-Bass/Wiley. Search in Google Scholar

Holbrook, A.L., S. Anand, T.P. Johnson, Y. Ik Cho, S. Shavitt, N. Chávez, and S. Weiner. 2014. “Response Heaping in Interviewer-Administered Surveys: Is It Really a Form of Satisficing?” Public Opinion Quarterly 78 (3): 591–633. DOI: https://doi.org/10.1093/-poq/nfu017. Search in Google Scholar

Hox, J.J. 1994. “Hierarchical Regression Models for Interviewer and Respondent Effects.” Sociological Methods & Research 22 (3): 300–318. DOI: https://doi.org/10.1177/0049124194022003002. Search in Google Scholar

Huttenlocher, J., L.V. Hedges, and N.M. Bradburn. 1990. “Reports of Elapsed Time: Bounding and Rounding Processes in Estimation.” Journal of Experimental Psychology: Learning, Memory, and Cognition 16 (2): 196. DOI:.https://doi.org/10.1037/0278-7393.16.2.196. Search in Google Scholar

Knäuper, B., R.F. Belli, D.H. Hill, and A.R. Herzog. 1997. “Question Difficulty and Respondents’ Cognitive Ability: The Effect on Data Quality.” Journal of Official Statistics 13 (2): 181–99. Available at: https://www.scb.se/contentassets/ca21efb41fee47d293bbee5bf7be7fb3/question-difficulty-and-respondents39-cognitive-ability-the-effect-on-data-quality.pdf. Search in Google Scholar

Krosnick, J.A. 1991. “Response Strategies for Coping with the Cognitive Demands of Attitude Measures in Surveys.” Applied Cognitive Psychology 5 (3): 213–36. DOI: https://doi.org/10.1002/acp.2350050305. Search in Google Scholar

McNeish, D., L.M. Stapleton, and R.D. Silverman. 2017. “On the Unnecessary Ubiquity of Hierarchical Linear Modeling.” Psychological Methods. 22 (1): 114–140. DOI: http://dx.doi.org/10.1037/met0000078.10.1037/met000007827149401 Search in Google Scholar

Menon, G. 1993. “The Effects of Accessibility of Information in Memory on Judgments of Behavioral Frequencies.” Journal of Consumer Research 20 (3): 431–440. DOI: https://doi.org/10.1086/209359. Search in Google Scholar

Olson, K., and I. Bilgen. 2011. “The Role of Interviewer Experience on Acquiescence.” Public Opinion Quarterly 75 (1): 99–114. DOI: https://doi.org/10.1093/poq/nfq067. Search in Google Scholar

Olson, K., and A. Peytchev. 2007. “Effect of Interviewer Experience on Interview Pace and Interviewer Attitudes.” Public Opinion Quarterly 71 (2): 273–286. DOI: https://doi.org/10.1093/poq/nfm007. Search in Google Scholar

Olson, K. 2010. “An Examination of Questionnaire Evaluation by Expert Reviewers.” Field Methods 22 (4): 295–318. DOI: https://doi.org/10.1177/1525822X10379795. Search in Google Scholar

Rizzo, L., J.M. Brick, and I. Park. 2004. “A Minimally Intrusive Method for Sampling Persons in Random Digit Dial Surveys.” The Public Opinion Quarterly 68 (2): 267–274. DOI: https://doi.org/10.1093/poq/nfh014. Search in Google Scholar

Rabe-Hesketh S., and A. Skrondal A. 2012. Multilevel and Longitudinal Modeling Using Stata, Third Edition, Volume II: Categorical Responses, Counts, and Survival, College Station, TX: Stata Press. Search in Google Scholar

Raudenbush S.W., and A.S. Bryk. 2002. Hierarchical Linear Models: Applications and Data Analysis Methods, Newbury Park, CA: Sage. Search in Google Scholar

Schaeffer, N.C., and D.W. Maynard. 1996. “From Paradigm to Prototype and Back Again: Interactive Aspects of Cognitive Processing in Standardized Survey Interviews.” In Answering Questions: Methodology for Determining Cognitive and Communicative Processes in Survey Research, edited by N. Schwarz and S. Sudman: 65–88. San Francisco: Jossey-Bass. Search in Google Scholar

Schonlau, M. 2018. HOTDECKVAR: Stata module for hotdeck imputation, Statistical Software Components S458527, Boston College Department of Economics, revised 19 April 2022. Available at: https://EconPapers.repec.org/RePEc:boc:bocode:s458527. Search in Google Scholar

Tourangeau, R., L.J. Rips, and K. Rasinski. 2000. The Psychology of Survey Response. New York, NY: Cambridge University Press.10.1017/CBO9780511819322 Search in Google Scholar

Tourangeau, R., and T. Yan. 2007. “Sensitive Questions in Surveys.” Psychological Bulletin 133 (5): 859–83. DOI: https://doi.org/10.1037/0033-2909.133.5.859.17723033 Search in Google Scholar

West B.T., K.B. Welch, and A.T. Galecki. 2015. Linear Mixed Models: A Practical Guide Using Statistical Software, Second Edition, Boca Raton, FL: CRC Press.10.1201/b17198 Search in Google Scholar

Yan, T., and K. Olson. 2013. “Analyzing Paradata to Investigate Measurement Error.” In Improving Surveys with Paradata: Analytic Uses of Process Information, edited by F. Kreuter: 73–96. New Jersey: John Wiley & Sons.10.1002/9781118596869.ch4 Search in Google Scholar

Articoli consigliati da Trend MD

Pianifica la tua conferenza remota con Sciendo