This present quantitative study documented the demographic base of 21st century Extension Master Gardener (EMG) volunteers in the United States. As the EMG program approaches its fifth decade and momentum builds for national leadership, collaborative programming, and innovative impact reporting, it is important to understand the characteristics of the current volunteers and their coordinators. A national study of EMG coordinators and volunteers was conducted in Fall 2016. Response was strong, representing 71.4% of state programs and 7498 volunteers. Responding state coordinators are primarily white females, have a mean age of 51.2 years, and have served in their position an average of 7.2 years. Most state coordinators (94.1%) have a graduate degree (master’s or higher). Responding local coordinators are primarily white females, have a mean age of 51.9 years, and have served in their position 7.5 years. Some local coordinators (57.4%) have a graduate degree (master’s or higher). EMG volunteers responding were primarily female, white, educated, retired, and of economic means; have a mean age of 64.8 years; and have served an average of 7.7 years. Four generations [Traditionalist (born 1925–42), Baby Boomer (born 1943–60), GenX (born 1961–81), and GenY (born 1982–2000)] were represented in survey responses. EMG volunteers were 14.5% Traditionalists, 73.2% Baby Boomers, 11.5% GenX, and 0.9% GenY. There were significant differences in the age, age at initial training, years of active service, and service hours reported in 2015 (the prior complete program cycle) among four generations of EMG volunteers. Responses from EMG volunteers and their coordinators represented all six extension programmatic regions established by the EMG National Committee. Significant differences in age, years of service, and number of volunteer service hours reported in 2015 exist among EMG volunteers across extension programmatic regions. The majority of EMG volunteers responding to the survey indicated they volunteered in an urban county (80.5%), whereas 17.2% of respondents served in a suburban county and 2.1% were connected with rural counties. There were no significant differences in the average age, years of service, and number of volunteer service hours reported in 2015 for EMG volunteers in urban, suburban, and rural programs. Historical data and the present study share similar trends within demographics, including age, income, gender, education, and race/ethnicity, yet offer important considerations for future program growth and development.

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Considerable research has examined the effect of response option order in ordinal bipolar questions such as satisfaction questions. However, no research we know of has examined the effect of the order of presentation of concepts in the question stem or whether stem order moderates response option order. In this article, we experimentally test the main and interaction effects of both stem and response option order for items in self-administered surveys on response distributions and answer changes in eight satisfied/dissatisfied questions. We find consistent evidence that response option order impacts answers. We also find that the order of “satisfied” or “dissatisfied” in the question stem impacts response distributions for four of our eight items but does not moderate the effect of response option order. We discuss the implications of our findings for questionnaire design and secondary data analyses.

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Recent research has shown mixed-mode surveys are advantageous for organizations to use in collecting data. Previous research explored web/ mail mode effects for four-contact waves. This study explores the effect of web/mail mixed-mode systems over a series of contacts on the customer satisfaction data from the Florida Cooperative Extension Service during 2012-2013. The experimental design involved a group of clients who provided e-mail and mail contact information randomly assigned to two mixedmode treatment groups and a mail-only control. Demographic and service utilization data were compared to assess response rates and nonresponse bias. Logistic regression showed the treatment groups had similar response rates and nonresponse bias. The fifth contact was statistically significant in increasing response rates but did not reduce nonresponse bias. Future research should continue exploring optimizing the number of contacts in mixed-mode survey methodology.