Improving Data Quality Using Amazon Mechanical Turk Through Platform Setup
暂无分享,去创建一个
Mark A. Bonn | Mark Bonn | Lu Lu | Nathan Neale | Nathaniel D. Line | Lu Lu | Nathan Neale | Mark Bonn
[1] S. Pijl,et al. Loneliness among students with special educational needs in mainstream seventh grade. , 2012, Research in developmental disabilities.
[2] Jeongdoo Park,et al. Common method bias in hospitality research: A critical review of literature and an empirical study , 2016 .
[3] Sarah C. Kucker,et al. An MTurk Crisis? Shifts in Data Quality and the Impact on Study Results , 2019, Social Psychological and Personality Science.
[4] Adam Seth Levine,et al. Intertemporal Differences Among MTurk Workers: Time-Based Sample Variations and Implications for Online Data Collection , 2017 .
[5] Scott M. Smith,et al. A multi-group analysis of online survey respondent data quality: Comparing a regular USA consumer panel to MTurk samples , 2016 .
[6] Ainsworth Bailey,et al. Consumer Awareness and Use of Product Review Websites , 2005 .
[7] Kawon Kim,et al. The Customer Isn’t Always Right: The Implications of Illegitimate Complaints , 2020 .
[8] David J. Hauser,et al. Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants , 2015, Behavior Research Methods.
[9] The shape of and solutions to the MTurk quality crisis , 2020, Political Science Research and Methods.
[10] Aniket Kittur,et al. Crowdsourcing user studies with Mechanical Turk , 2008, CHI.
[11] Thomas J. Leeper,et al. The Generalizability of Survey Experiments* , 2015, Journal of Experimental Political Science.
[12] Scott B. MacKenzie,et al. Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.
[13] Scott Clifford,et al. Validity and Mechanical Turk: An assessment of exclusion methods and interactive experiments , 2017, Comput. Hum. Behav..
[14] Joseph Goodman,et al. Crowdsourcing Consumer Research , 2017 .
[15] E. King,et al. Back to the Future , 2017, JACC. Cardiovascular interventions.
[16] Aaron D. Shaw,et al. Social desirability bias and self-reports of motivation: a study of amazon mechanical turk in the US and India , 2012, CHI.
[17] Haotian Zhou,et al. of Personality and Social Psychology The Pitfall of Experimenting on the Web : How Unattended Selective Attrition Leads to Surprising ( Yet False ) Research Conclusions , 2016 .
[18] Rodolfo Vázquez-Casielles,et al. Satisfaction with service recovery: Perceived justice and emotional responses , 2009 .
[19] Felix D. Schönbrodt,et al. At what sample size do correlations stabilize , 2013 .
[20] A. Mattila,et al. Healthy Taste of High Status: Signaling Status at Restaurants , 2020, Cornell Hospitality Quarterly.
[21] Jesse J. Chandler,et al. Inside the Turk , 2014 .
[22] Jesse Chandler,et al. Conducting Clinical Research Using Crowdsourced Convenience Samples. , 2016, Annual review of clinical psychology.
[23] E. Viding,et al. Social Reward Questionnaire (SRQ): development and validation , 2014, Front. Psychol..
[24] Oded Netzer,et al. MTurk Character Misrepresentation: Assessment and Solutions , 2017 .
[25] David G. Rand,et al. Turking overtime: how participant characteristics and behavior vary over time and day on Amazon Mechanical Turk , 2017, Journal of the Economic Science Association.
[26] K. D. Joshi,et al. Why Individuals Participate in Micro-task Crowdsourcing Work Environment: Revealing Crowdworkers' Perceptions , 2016, J. Assoc. Inf. Syst..
[27] Roi Reichart,et al. The Turker Blues: Hidden Factors Behind Increased Depression Rates Among Amazon’s Mechanical Turkers , 2020, Clinical Psychological Science.
[28] Daniel M. Oppenheimer,et al. Instructional Manipulation Checks: Detecting Satisficing to Increase Statistical Power , 2009 .
[29] John B. Ford. Amazon's Mechanical Turk: A Comment , 2017 .
[30] K. Sheehan,et al. An Analysis of Data Quality: Professional Panels, Student Subject Pools, and Amazon's Mechanical Turk , 2017 .
[31] Amar Cheema,et al. Data collection in a flat world: the strengths and weaknesses of mechanical turk samples , 2013 .
[32] M. Six Silberman,et al. From critical design to critical infrastructure: lessons from turkopticon , 2014, INTR.
[33] Michael D. Buhrmester,et al. An Evaluation of Amazon’s Mechanical Turk, Its Rapid Rise, and Its Effective Use , 2018, Perspectives on psychological science : a journal of the Association for Psychological Science.
[34] Steven V. Rouse,et al. A reliability analysis of Mechanical Turk data , 2015, Comput. Hum. Behav..
[35] A. Acquisti,et al. Reputation as a sufficient condition for data quality on Amazon Mechanical Turk , 2013, Behavior Research Methods.
[36] Nelson A. Barber,et al. Customer Service Evaluations of Employees With Disabilities: The Roles of Perceived Competence and Service Failure , 2020, Cornell Hospitality Quarterly.
[37] Justin A. DeSimone,et al. Caution! MTurk Workers Ahead—Fines Doubled , 2015, Industrial and Organizational Psychology.
[38] Marcia J. Simmering,et al. Data Quality from Crowdsourced Surveys: A Mixed Method Inquiry into Perceptions of Amazon's Mechanical Turk Masters , 2018 .
[39] Lin Guo,et al. The Role of Perceived Control in Customer Value Cocreation and Service Recovery Evaluation , 2016 .
[40] Michael D. Buhrmester,et al. Amazon's Mechanical Turk , 2011, Perspectives on psychological science : a journal of the Association for Psychological Science.
[41] Shi Xu,et al. A Convenient Solution: Using MTurk To Sample From Hard-To-Reach Populations , 2015, Industrial and Organizational Psychology.
[42] Adam J. Berinsky,et al. Evaluating Online Labor Markets for Experimental Research: Amazon.com's Mechanical Turk , 2012, Political Analysis.
[43] Chris Callison-Burch,et al. A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk , 2017, CHI.