Quantitative Analysis SPSS SPSS will be used to mine and analyze data on demographic information, retention and attrition numbers, and cross-analysis of weighted scores across categories. Capabilities of this tool include the following: • Supports the industry-standard CRISP-DM model for analyzing data • Addresses complex business problems through data mining • Predictive insights are developed consistently based on collected data • Access and integrate data from textual sources, survey research, databases, spreadsheets and flat files
Description of Evaluation Process
Learners
The learners are central to our evaluation model and constitute the initial focus of our evaluation process. We evaluate learners using a multi-level approach. Our evaluation process will assess: • • • •
Satisfaction of BARM members with the courses and materials currently in use Instructional quality of the courses through pre and post assessments Application and success of training knowledge in the work environment Return on investment for BARM customers
Surveys We will deploy surveys using Blue to a sample of current BARM customers in order to gather recent customer satisfaction data. Surveys will be implemented over the World Wide Web and randomly sent to BARM customers through emails. Survey questions concerning training materials, instructors, environment, and delivery methods will be taken from our pre-developed survey templates. Our evaluation specialists have prepared all questions to gather both quantitative and qualitative data concerning customer satisfaction. The participants will use an evaluation matrix based on a scale of 1-5 for quantitative data and a Likert scale for qualitative data. The customers will also be asked to provide demographic and geographic information for cross-analysis purposes.
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