In this article, we discuss methodological opportunities related to using a team-based approach for iterative-inductive analysis of qualitative data involving detailed open coding of semistructured interviews and focus groups. Iterative-inductive methods generate rich thematic analyses useful in sociology, anthropology, public health, and many other applied fields. A team-based approach to analyzing qualitative data increases confidence in dependability and trustworthiness, facilitates analysis of large data sets, and supports collaborative and participatory research by including diverse stakeholders in the analytic process. However, it can be difficult to reach consensus when coding with multiple coders. We report on one approach for creating consensus when open coding within an iterative-inductive analytical strategy. The strategy described may be used in a variety of settings to foster efficient and credible analysis of larger qualitative data sets, particularly useful in applied research settings where rapid results are often required.

Community gardens have been a part of modern American culture since the late 19th century. Participation in community gardening has ebbed and flowed in response to changing socioeconomic conditions, and thus the current economic recession has reheightened public interest. In a review of the scholarly literature from 1999 to 2010, rigorous quantitative research studies on the effects of community gardens are found to be sparse; however, a larger body of qualitative data is available. Eleven themes related to the purposes, benefits of, and motivations for participating in community gardens are identified. Community gardens can serve as an effective tool for community-based practitioners in carrying out their roles within the arenas of organizing, development, and change.

Recent evidence indicates a widening gap in fruit and vegetable (F/V) consumption between high- and low-income Americans. This gap is related, in part, to decreased access to food retailers that sell fresh F/V in low-income communities. Farmers' markets are identified as a strategy for improving F/V consumption by increasing access to these foods. The aim of this systematic review was to examine literature published from 1994 to 2014 to identify facilitators and barriers of farmers' markets use, particularly among low-income consumers. Peer-reviewed literature was identified in Ebsco Host (Academic Search Complete). Inclusion criteria for abstract review was primary research focused on farmers' market use identifying 87 studies for full-text review. Full-text review identified articles focused on facilitators and/or barriers of farmers' market use resulting in 49 articles. At least two reviewers completed review of all articles. Of the 49 articles, 39% specified inclusion of low-income consumers and fewer than 15% focused on racial and ethnic minorities. Few studies were guided by theory and/or used standardized metrics. Results indicate farmers' market use is influenced by multiple economic, service delivery, spatial-temporal, social, and personal factors. Among studies that included low-income populations (n=19), key barriers to farmers' market use were perceptions that food assistance benefits were not accepted, belief that food variety at farmers' markets was limited, lack of access to transportation, lack of racial/ethnic diversity in the market space, and mismatch between markets and personal lifestyles. There is wide variation in study design and reporting standards and infrequent use of standardized measures limiting comparisons across studies. There is a need to establish valid and reliable metrics and reporting standards for evaluating farmers' markets. Findings may inform interventions, programs, and policies to promote farmers' market use.