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Using Multi-Method Testing to Improve Reporting of Complicated Constructs in Multiple Data Collection Modes (307943)Kathy Ott, National Agricultural Statistics Service
*Heather Ridolfo, National Agricultural Statistics Service
Keywords: pretesting, survey mode, questionnaire design
Measuring agricultural labor is challenging given the complexity of farm jobs and the widely diverse pay structures used on U.S. farms. To understand how respondents comprehend the survey questions and their ability to report information about their hired labor, multiple testing methods, including cognitive interviewing, behavior coding, and survey data analysis, were conducted across multiple data collection modes for the Agricultural Labor Survey. Using multiple methods allowed for a more complete understanding of questionnaire design flaws and data collection procedures impacting data quality. This presentation will discuss the methods used to evaluate the Agricultural Labor Survey and the impact each method had on improving the measurement of agricultural labor.