Research
Organizations spend significant money on employee training, with reported training expenditures in the United States totaling $101.6 billion. Despite this significant investment, organizations are unsure how to measure if the training accomplishes the stated goals, such as the transfer of learning from training to on-the-job performance.
Dissertation
Other Research
My mixed-method research aimed to explain why organizations value and implement the evaluation of the transfer of training to on-the-job performance and understand how organizations use technology to collect, store, and analyze the transfer of training-related data.
To gather the data needed to answer the question above, I surveyed training development people affiliated with ATD, ISPI, and subscribers of Training Development Magazine. After the analysis of the data, I selected participants to discuss their organization’s training and development processes. The combined data was analyzed and the factors that influenced the evaluation of the transfer of training were determined.
By examining the current evaluation practices of organizations that use technology to capture, store, analyze, and evaluate the transfer of training to on-the-job behavior, my research attempts to provide organizations that do not evaluate the transfer of training to on-the-job behavior an avenue to:
Overcome the barriers that prevent the evaluation of the transfer of training to on-the-job performance.
Use technologies that can capture, store, and analyze the transfer of training to on-the-job behavior.
In addition to my mixed-method dissertation, I completed qualitative, quantitative, and design-based research projects. To review the projects, click on the buttons below.
Qualitative Research
Gathers and analyzes non-numerical (descriptive) data to understand individuals' social reality, including their attitudes, beliefs, and motivations.
Mixed Methods
Mixed methods research refers to a research approach that combines qualitative and quantitative data collection and analysis. This methodology allows for a comprehensive understanding of phenomena, providing richer insights through the triangulation of findings and allowing the researcher to combine quantitative and qualitative research strengths.
Design-Based Research
Involves developing solutions (called "interventions") to problems. Then, the interventions are tested to determine how well they work. The iterations of the intervention can be adapted and re-tested to gather more data.
Statistical Analysis: Chi-Square & Cross Tabulation
This 6-minute video explains cross-tabulation and the chi-square test by investigating what went wrong with the pizza order!
Cross tabulation is a technique that helps you describe the relationships between categorical (nominal or ordinal) variables. The chi-square tests the hypothesis that the row and column variables are independent without indicating the strength or direction of the relationship
To learn about Chi Square and Cross Tabulation, click on the play button.