Exam Requirement

The student will submit one research-based, quantitative analysis paper to provide evidence of his/her ability in this area. The statistics and evaluation component is a showcase piece. This means that the student gets to decide how to best illustrate his/her quality work in measurement, research methods, statistical analysis, or
program evaluation.

Portfolio Submission

The sample below describes an instrument development and validation project that I completed as part of EPSY 344: Instrument Development. This project will be presented at the upcoming annual meeting of the American Educational Research Association. To develop the instrument and gather evidence of factorial validity, I used three statistical techniques: exploratory factor analysis (EFA), reliability analysis, and confirmatory factor analysis (CFA).

Artino, A. R., & McCoach, D. B. (2007, April). Development and initial validation of the online learning value and self-efficacy scale. Paper presented at the annual meeting of the American Educational Research Association, Chicago, IL.

Additional Samples

The remaining samples represent other statistical products that I have completed over the course of my doctoral program at UConn. The second product is an expanded version of the EFA I conducted for the instrument development and validation piece provided above.

Artino, A. R. (2006). Using components of social cognitive theory to predict military students’ satisfaction with self-paced, online training. Paper completed for EPSY 410: Applied Regression Analysis for the Education Sciences. Statistical method: logistic regression. Note: Some survey items were modified such that logistic regression could be applied to the data (i.e., this project was "notional" and was used as an opportunity to practice using logistic regression).

Artino, A. R. (2006). Final report: Development and initial validation of the online learning value and self-efficacy scale. Paper completed for EPSY 344: Instrument Development. Statistical method: exploratory factor analysis and reliability analysis.