A version control system records changes to a file or set of files over time so that changes can be tracked and specific versions of a file can be recalled later. As such, it is an essential element of a reproducible workflow that deserves due consideration among the learning objectives of statistics courses. This paper describes experiences and implementation decisions of four contributing faculty who are teaching different courses at a variety of institutions. Each of these faculty have set version control as a learning objective and successfully integrated one such system (Git) into one or more statistics courses. The various approaches described in the paper span different implementation strategies to suit student background, course type, software choices, and assessment practices. By presenting a wide A c c e p t e d M a n u s c r i p t range of approaches to teaching Git, the paper aims to serve as a resource for statistics and data science instructors teaching courses at any level within an undergraduate or graduate curriculum.

Researchers in the agricultural and biological sciences often conduct experiments with repeated measures and categorical response variables. Recent advances in statistical computing have made several options available to analyze data from these experiments. For example, SAS has several procedures based on generalized mixed model theory. These include PROC GENMOD, MIXED, NLMIXED, and the GLIMMIX macro. Inference for these procedures depends on asymptotic theory. While statistics literature contains some information about the small-sample behavior, there is much that remains unknown. This presentation will focus on Bernoulli response variables. Power characteristics are compared via simulation for several scenarios involving relatively small repeated measures experiments.

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Cohesion is a fundamental determinant of performance in farmer groups in which collective action is pursued for the benefit of the members. The study examined the influence of individual members’ objectives, participation culture, group rewards, structure of tasks and perceived equity on cohesion of farmer groups that can promote access to agricultural extension services. Quantitative data were collected from 180 members of 19 farmer groups using questionnaires selected in a multi-stage process that combined purposive and random sampling. Qualitative data were gathered from 20 key informants in oral interviews and three focus group discussions. Regression analysis indicated that there were statistically significant negative relationships between individual members’ objectives, structure of the tasks, group reward system and cohesion of farmer groups. In contrast, perceived equity had a statistically significant positive relationship with cohesion in farmer groups. We recommend that, for sustainability of group cohesion, group facilitators work with the farmer groups to ensure alignment of group and NAADS institutions and performance indicators. A group dynamics perspective to understanding farmer group cohesion should be a helpful organizing principle.

Cognitive transfer is the ability to apply learned skills and knowledge to new applications and contexts. This investigation evaluates cognitive transfer outcomes for a tertiary-level introductory statistics course using the CATALST curriculum, which exclusively used simulation-based methods to develop foundations of statistical inference. A common assessment instrument administered at the end of each course measured learning outcomes for students. CATALST students showed evidence of both near and far transfer outcomes while scoring as high, or higher than, on the assessed learning objectives when compared with peers enrolled in similar courses that emphasized parametric inferential methods (e.g., the t-test). First published November 2017 at Statistics Education Research Journal Archives