Date of Degree
MA (Master of Arts)
Psychological and Quantitative Foundations
First Committee Member
Second Committee Member
Crowdsourcing has gained favor among many social scientists as a method for collecting data because this method is both time- and resource-efficient. The present study uses a within-subject test-retest design to evaluate the psychometric characteristics of crowdsource samples for developing and field testing measurement instruments. As evidenced by similar patterns of psychometric characteristics across time, strong test-retest reliability, and low failure rates of attention check items, the results of this study provide evidence that Amazon Mechanical Turk might represent a fruitful platform for field testing to support the development of a variety of measures. These findings, in turn, have significant implications for resource efficiency in the fields of educational and organizational measurement.
Amazon MTurk, Crowdsourcing, Interest Inventory, Measurement, Online Panel
x, 69 pages
Includes bibliographical references (pages 52-56).
Copyright © 2019 Emily Michelle Wetherell
Wetherell, Emily Michelle. "The use of crowdsourcing in the development of measurement instruments." MA (Master of Arts) thesis, University of Iowa, 2019.