ABC\u27s of Behavioral Objectives--Putting Them to Work for Evaluation

With shrinking budgets, evaluation and accountability become increasing important in the justification and impact of Extension programs and faculty. The key to solving the accountability issue is to develop clear, concise behavioral objectives as a part of each educational activity. This article discusses how to write measurable behavioral objectives that should be used for both planning and evaluation of Extension programs. Examples of well written behavioral objectives that can be used to measure impact are included

Infiltration from the pedon to global grid scales: an overview and outlook for land surface modelling

Infiltration in soils is a key process that partitions precipitation at the land surface in surface runoff and water that enters the soil profile. We reviewed the basic principles of water infiltration in soils and we analyzed approaches commonly used in Land Surface Models (LSMs) to quantify infiltration as well as its numerical implementation and sensitivity to model parameters. We reviewed methods to upscale infiltration from the point to the field, hill slope, and grid cell scale of LSMs. Despite the progress that has been made, upscaling of local scale infiltration processes to the grid scale used in LSMs is still far from being treated rigorously. We still lack a consistent theoretical framework to predict effective fluxes and parameters that control infiltration in LSMs. Our analysis shows, that there is a large variety in approaches used to estimate soil hydraulic properties. Novel, highly resolved soil information at higher resolutions than the grid scale of LSMs may help in better quantifying subgrid variability of key infiltration parameters. Currently, only a few land surface models consider the impact of soil structure on soil hydraulic properties. Finally, we identified several processes not yet considered in LSMs that are known to strongly influence infiltration. Especially, the impact of soil structure on infiltration requires further research. In order to tackle the above challenges and integrate current knowledge on soil processes affecting infiltration processes on land surface models, we advocate a stronger exchange and scientific interaction between the soil and the land surface modelling communities

Validation of HNO3, ClONO2, and N2O5 from the Atmospheric Chemistry Experiment Fourier Transform Spectrometer (ACE-FTS)

The Atmospheric Chemistry Experiment (ACE) satellite was launched on 12 August 2003. Its two instruments measure vertical profiles of over 30 atmospheric trace gases by analyzing solar occultation spectra in the ultraviolet/visible and infrared wavelength regions. The reservoir gases HNO3, ClONO2, and N2O5 are three of the key species provided by the primary instrument, the ACE Fourier Transform Spectrometer (ACE-FTS). This paper describes the ACE-FTS version 2.2 data products, including the N2O5 update, for the three species and presents validation comparisons with available observations. We have compared volume mixing ratio (VMR) profiles of HNO3, ClONO2, and N2O5 with measurements by other satellite instruments (SMR, MLS, MIPAS), aircraft measurements (ASUR), and single balloon-flights (SPIRALE, FIRS-2). Partial columns of HNO3 and ClONO2 were also compared with measurements by ground-based Fourier Transform Infrared (FTIR) spectrometers. Overall the quality of the ACE-FTS v2.2 HNO3 VMR profiles is good from 18 to 35 km. For the statistical satellite comparisons, the mean absolute differences are generally within ±1 ppbv ±20%) from 18 to 35 km. For MIPAS and MLS comparisons only, mean relative differences lie within±10% between 10 and 36 km. ACE-FTS HNO3 partial columns (~15–30 km) show a slight negative bias of −1.3% relative to the ground-based FTIRs at latitudes ranging from 77.8° S–76.5° N. Good agreement between ACE-FTS ClONO2 and MIPAS, using the Institut für Meteorologie und Klimaforschung and Instituto de Astrofísica de Andalucía (IMK-IAA) data processor is seen. Mean absolute differences are typically within ±0.01 ppbv between 16 and 27 km and less than +0.09 ppbv between 27 and 34 km. The ClONO2 partial column comparisons show varying degrees of agreement, depending on the location and the quality of the FTIR measurements. Good agreement was found for the comparisons with the midlatitude Jungfraujoch partial columns for which the mean relative difference is 4.7%. ACE-FTS N2O5 has a low bias relative to MIPAS IMK-IAA, reaching −0.25 ppbv at the altitude of the N2O5 maximum (around 30 km). Mean absolute differences at lower altitudes (16–27 km) are typically −0.05 ppbv for MIPAS nighttime and ±0.02 ppbv for MIPAS daytime measurements

Financial Characteristics of Companies Audited by Large Audit Firms

Purpose “ The purpose of this paper is to examine how financial characteristics associated with the choice of a big audit firm with further investigation on the agency costs of free cash flows.Design/methodology/approach “ The sample used for this work includes industrial listed companies from Germany and France. To test our hypothesis, we used a number of logit models, extending the standard model selection audit firm, to include the variables of interest. Following previous work, our dependent dummy variable is Big4 or non-Big4.Findings “ We observed that most independent variables in the German companies show similar results to previous work, but we did not have the same results for the French industry. Moreover, our findings suggest that the total debt and dividends can be an important reason for determining the choice of a large audit firm, reducing agency costs of free cash flows.Research limitations/implications “ This study has some limitations on the measurements of the cost of the audit fees and also generates opportunities for additional searching.Originality/value “ The paper provides only one aspect to explain the relationship between the problems of agency costs of free cash flow and influence in choosing a large auditing firm, which stems from investors\u27 demand for higher quality audits

Analyzing Likert Data

This article provides information for Extension professionals on the correct analysis of Likert data. The analyses of Likert-type and Likert scale data require unique data analysis procedures, and as a result, misuses and/or mistakes often occur. This article discusses the differences between Likert-type and Likert scale data and provides recommendations for descriptive statistics to be used during the analysis. Once a researcher understands the difference between Likert-type and Likert scale data, the decision on appropriate statistical procedures will be apparent

AN ASSESSMENT OF PROBLEMS FACED BY HIGH SCHOOL AGRICULTURAL EDUCATION TEACHERS

Abstract Leaders in the agricultural education profession established a goal to expand the number o

Knowledge of Sustainable Agriculture Practices by Extension Agents in Ohio, Pennsylvania, and West Virginia

The purpose of the study reported here was to determine the level of knowledge and attitudes that Extension educators possess concerning the numerous dimensions of sustainable agriculture. A descriptive research design was used to collect data from Extension agents in Ohio, Pennsylvania, Virginia, and West Virginia. Extension agents were familiar with and associated terms such as environmental protection, small-scale agriculture, profitability, low chemical input, productivity, and organic farming with sustainable agriculture. Extension agents also expressed a need for training in a number of areas related to sustainable agriculture and its practices

Organizational resilience and the relationship with six major crisis types for Dutch safety regions

An emergency response organization is resilient when it learns from and is well equipped to handle (potential) risks and hazards. In this paper, we will address the organizational resilience fit for Dutch emergency response organizations (safety regions) in relation to various types of crisis. The approach presented in this paper is based on a quantitative organizational resilience model. We validated the model by means of a survey conducted among the employees of Dutch safety regions. In this survey, we queried how the employees perceive the different attributes related to a set of crisis types. We used the results to calculate the quantitative representation of organizational resilience. We found that the presence of a Quality Management system or a Safety Management system does not significantly influence the organizational resilience of the organization. However, a statistically significant difference for organizational resilience was found in the type of staff assignment: volunteer, professional, or volunteer and professional. The volunteers rated the organizational resilience lower. We recommend to increase a safety region’s organizational resilience by enhancing communication and organizational engagement of volunteers, stop pursuing a Quality/Safety Management program and perform further research on (international) emergency response organizations

“Think secure from the beginning”: A survey with software developers

Vulnerabilities persist despite existing software security initiatives and best practices. This paper focuses on the human factors of software security, including human behaviour and motivation. We conducted an online survey to explore the interplay between developers and software security processes, e.g., we looked into how developers influence and are influenced by these processes. Our data included responses from 123 software developers currently employed in North America who work on various types of software applications. Whereas developers are often held responsible for security vulnerabilities, our analysis shows that the real issues frequently stem from a lack of organizational or process support to handle security throughout development tasks. Our participants are self-motivated towards software security, and the majority did not dismiss it but identified obstacles to achieving secure code. Our work highlights the need to look beyond the individual, and take a holistic approach to investigate organizational issues influencing software security