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A recent study of the Minnesota Agriculture and Rural Leadership (MARL) program set out to determine the relationship between andragogical program design and increased levels of emotional intelligence (EI). Members of two cohorts in the MARL leadership development program received different levels of focused effort, peer coaching, individual action plans, disorienting dilemmas, self-reflection, and training in the area of emotional intelligence. We examined four years of data, including participants’ results on the Bar-On Emotional Quotient Inventory (EQ-i) before and after undergoing leadership development training, as well as their individual reflections on the EI components of their training. The intention is that this research will encourage practices that seek to increase emotional intelligence in leaders.

Current research on millennials primarily focuses on their behavior within an academic or workplace setting. This study expands on previous analysis by exploring how millennials respond to community leadership efforts, particularly cohort leadership programs. Participant outcomes from University of Minnesota Extension’s County Bridging Leadership Program revealed that millennials—particularly those without a four-year degree—experienced significantly higher gains in several skill areas relevant to community development than non- millennials. Recruiting more millennials to participate in community leadership programs is critical not only to keep younger people in rural communities but also to strengthen future community vitality.

Background: Geostatistics focuses on spatial or spatiotemporal datasets. Geostatistics was initially developed to generate probability distribution predictions of ore grade in the mining industry; however, it has been successfully applied in diverse scientific disciplines. This technique includes univariate, multivariate, and simulations. Kriging geostatistical methods, simple, ordinary, and universal Kriging, are not multivariate models in the usual statistical function. Notwithstanding, simple, ordinary, and universal kriging techniques utilize random function models that include unlimited random variables while modeling one attribute. The coKriging technique is a multivariate estimation method that simultaneously models two or more attributes defined with the same domains as coregionalization.

Objective: This study investigates the impact of populations on traffic volumes as a variable. The additional variable determines the strength or accuracy obtained when data integration is adopted. In addition, this is to help improve the estimation of annual average daily traffic (AADT).

Methods procedures, process: The investigation adopts the coKriging technique with AADT data from 2009 to 2016 from Montana, Minnesota, and Washington as primary attributes and population as a controlling factor (second variable). CK is implemented for this study after reviewing the literature and work completed by comparing it with other geostatistical methods.

Results, observations, and conclusions: The Investigation employed two variables. The data integration methods employed in CK yield more reliable models because their strength is drawn from multiple variables. The cross-validation results of the model types explored with the CK technique successfully evaluate the interpolation technique's performance and help select optimal models for each state. The results from Montana and Minnesota models accurately represent the states' traffic and population density. The Washington model had a few exceptions. However, the secondary attribute helped yield an accurate interpretation. Consequently, the impact of tourism, shopping, recreation centers, and possible transiting patterns throughout the state is worth exploring.

Thepurposeofthisarticle wastoexaminethe effectsofstrengths-basedapproaches in co-curricularandcurricularleadershiponfirst-yearstudents’holisticthriving,academicthriving, social thriving, and psychological thriving. We used propensity score matching and regression analyses with survey data from the Thriving Quotient, which was administered to first-year students at a large, public research university(n = 548). The results suggest students’ enrollment in a strengths-based leadership minor course was associated with higher levels of thriving in social, academic, and psychological domains. Students’ participation in strengths-based student organizationswasassociatedwithhigherthrivinginsocialdomains,whileconcurrentenrollment in the strengths-based leadership class and participation in strengths-based student organizations was associated with significantly higher holistic thriving, social thriving, and psychological thriving.

If your community is looking for more committed and competent leaders, what type of educational intervention will get the best results? U-Lead, the University of Minnesota Extension’s community leadership program, engages with organizations and communities to strengthen leadership. As the educational provider of U-Lead, Extension has a responsibility to provide quality programs as well as honor time and resource constraints. The primary question of this study is: what impact, if any, does the program duration have on participant outcomes? Key Observations include (a) the longest duration programs consistently had the most improvements in skills and knowledge, (b) after completing programs, more people are committing to leadership positions. This does not appear to correlate to program duration, (c) using evaluation data for modifying programs and starting additional programs leads to more significant participant change, and (d) community leadership theory and measurement can lead to better programs with greater results.

This paper aims to measure and rigorously compare the perceptions of South Korean university social engagement between faculty and students, two definitive stakeholders identified by stakeholder theory – but considerably heterogeneous, to understand how South Korean campus embraces social engagement in practice. To that end, this study delves into the conceptual framework of university social engagement and selects a highly internationalized, research-oriented, four-year comprehensive South Korean university campus that has long sought to become engaged in communities as the research site.

Methodologically, exploratory and confirmatory factor analyses were used to identify the factor model that successfully fit the data of the study. Factorial invariance tests and latent mean analysis were then conducted to measure and strictly compare the between-group mean differences.

According to the findings, neither faculty nor students had positive perceptions of their institution’s social engagement in terms of leadership, participatory decision-making, curriculum and instruction, institutional supports and systemic mechanism. That is, two definitive stakeholders on campus similarly perceived that social engagement has not yet been institutionalized as a core value and therefore embraced in practice. Based on these findings, this study discussed several implications for university decision makers. Specifically, the institutionalization of and the need for authentic leadership in university social engagement were emphasized as a means to encourage and facilitate the delivery of practical, beneficial services to the public.

As with all studies, there are certain limitations that must be noted. The sample for this study represents the experiences and expectations of faculty and students at only one institution. Therefore, the experiences of individuals at this single university are not necessarily representative of all South Korean universities. In addition, given that the public service missions of South Korean universities emanated from Western thoughts (Duke, 2008; Ward, 2003), social engagement in the present study has been discussed and conceptualized according to the dominant Western scholarship.

As both faculty and students similarly perceived, participatory decision-making and systemic mechanism do not work properly, and therefore, social engagement as an institutional value cannot strongly take root on campus. Based on the scale used, this study identified communication and organizational supports as the likely issues that obstruct the institutionalization of social engagement. In relation to communication, Boyte and Hollander (1999) emphasize that it is important that stakeholders are well aware of the engaged effort of the institution. Then, the voices of stakeholders need to be acknowledged as valuable feedback so that university decision makers and stakeholders can discuss mutually important issues and concerns (Minnesota Higher Education Services Office, 2003). Furthermore, the relevant literature consistently contends that engaged effort can only be productive with continuous and systemic organizational supports (Boyte and Hollander, 1999; Holland, 1997; Minnesota Higher Education Services Office, 2003; Weerts and Sandmann, 2008). That is, the engaged work of teaching, research and service should be thoroughly assessed and reported to stakeholders on a regular basis. The implication in this study is that university decision makers should make greater effort to design and implement policies and regulations that enable organizational supports to continue.

For social engagement to be valued in practice, the relevant literature (Kellogg Commission, 1999; Garlick and Langworthy, 2008; Minnesota Higher Education Services Office, 2003; Peterson, 2009) advises that top institutional leaders need to encourage interdisciplinary scholarship that includes research, teaching and learning; develop incentives to encourage faculty involvement in engaged work; support engagement so that it is incorporated into the curriculum and instruction; and secure funding for engagement. The fundamental insight that these suggestions provide to university decision makers is crystal-clear: social engagement must be authentically prioritized in the decision-making process.

The quantitative and descriptive findings of the study seek to provide one further step toward the objective of establishing the groundwork for future research on university social engagement in Asian context. Further, replication studies with various Asian cases and research designs may results in tangible improvements to the theorization of Asian university social engagement.

The paper compares multi-period forecasting performances by direct and iterated method using Bayesian vector autoregressive (VAR) models.

The paper adopts Bayesian VAR models with three different priors – independent Normal-Wishart prior, the Minnesota prior and the stochastic search variable selection (SSVS). Monte Carlo simulations are conducted to compare forecasting performances. An empirical study using US macroeconomic data are shown as an illustration.

In theory direct forecasts are more efficient asymptotically and more robust to model misspecification than iterated forecasts, and iterated forecasts tend to bias but more efficient if the one-period ahead model is correctly specified. From the results of the Monte Carlo simulations, iterated forecasts tend to outperform direct forecasts, particularly with longer lag model and with longer forecast horizons. Implementing SSVS prior generally improves forecasting performance over unrestricted VAR model for either nonstationary or stationary data.

The paper finds that iterated forecasts using model with the SSVS prior generally best outperform, suggesting that the SSVS restrictions on insignificant parameters alleviates over-parameterized problem of VAR in one-step ahead forecast and thus offers an appreciable improvement in forecast performance of iterated forecasts.

As our communities strive to support community change efforts for survival and vitality, the importance of social capital has become evident in leadership development. Many researchers and practitioners realize that tapping into the inherent power of relationships and social networks is crucial. This paper provides an overview of the design and evaluation of Bridging Brown County, a countywide community leadership development program that was explicitly designed to build social capital as well as human capital. By integrating social and human capital constructs into the program design, impacts have been measured in domains of other community capitals. The results of the impact study provide insight into developing and measuring the success of community leadership programs.

Educators who work in community settings often encounter participants with a wide array of individual leadership beliefs, attitudes, and experiences. Given this situation, one of the challenges we face is to identify effective methods and tools to teach leadership in community and organizational settings. As an educator, it is important to understand and use quality scholarship and theory in leadership education. At the same time, it is important to use educational methods that respect the life experiences of the participants and that are easy to understand and communicate. At the University of Minnesota Extension Service U-Lead program, we seek to balance the academic and scholarship portion of our work with the application of practical tools and methods that connect with the real-life leadership experiences of our participants. The purpose of this paper is to review the comprehensive leadership education framework we currently use and outline how it addresses this balance.

The purpose of this study was to examine whether undergraduates’ participation in 12 different leadership trainings, workshops, conferences, or programs was associated with students’ leadership efficacy. We used data from the Multi-Institutional Study of Leadership survey, which eight of the Big 10 institutions administered to students in spring 2018. The results suggest that students’ participation in shorter-term or moderate-term experiences—a leadership conference, retreat, lecture/workshop series, course, or positional leadership training—was positively associated with students’ leadership efficacy. We therefore encourage leadership educators and practitioners in higher education to consider the duration of their programs to maximize students’ outcomes.