The ARC firmly believes that making decisions based on data should be an integral element of any initiative, program, or organization. The success of such a philosophy hinges on the quality of the data. The ARC regularly engages in data collection and analysis while offering interpretation and recommendations for clients as needed. Knowledge of multiple statistical methods allows our team the ability to conduct a multitude of data analyses. From these analyses, the ARC can develop statistically sound inferences based on data. Thus, providing credible evidence to be used to guide your organization’s strategic planning process.
Data Analysis Services Include:
• Survey creation and dissemination
• Database mining
• Statistical analysis including qualitative and quantitative data
• Thematic analysis
• Case studies
Recent Data Analysis Projects
TAACCCT Interface Project
In 2013, the 16 Wisconsin Technical Colleges received US Department of Labor funding to implement INTERFACE, a strategic alignment focusing on strengthening computer skill competency and expanding pathways in information technology related programs to TAA-eligible, Veteran, and other adult learners. The INTERFACE project brings together the 16 colleges, workforce development organizations, and local businesses to ensure strategic alignment through the education and jobs pipeline. The ARC served as the third-party evaluator and used propensity score matching to identify comparison groups. The ARC then used parametric statistical analyses such as t-tests and ANOVA; as well as non-parametric tests using Mann’s-Whitney U and Chi Square.
The ARC regularly works with graduate students seeking advanced degrees to coordinate and conduct research. Recently, the ARC worked with a UW Stout Student conduct a logistic regression analysis looking at whether or not cost of tuition and financial aid eligibility was predictive of persistence at a Wisconsin technical college. Cost of tuition was found to be a significant predictor of student persistence.
Intercultural Competence Metric
The ARC partnered with UW-Stout’s Social Science Research Center (SSRC) to evaluate an initiative that infuses diversity into curriculum across campus. The ARC and SSRC staff evaluated qualitative data using a bimodal rubric scale to rate student essays related to intercultural competence. Each essay was rated using a Global Consciousness Scale and a Depth of Knowledge Scale. These results will be used to infuse diversity into the curriculum.