Search
Program Calendar
Browse By Day
Browse By Time
Browse By Person
Browse By Unit
Browse By Session Type
Search Tips
Annual Meeting Housing and Travel
Personal Schedule
Sign In
X (Twitter)
It is important to carefully consider what outcome measures are used in intervention research, as the best designed studies will be unable to detect differential outcomes for intervention participants if the outcome measure is poorly constructed or is only proximally related to the target of the intervention. This study examines the instructional sensitivity of different types of outcome measures used in experimental and quasi-experimental research. Preliminary meta-analysis reviewed publications from 2007 through 2018 in JREE, JEP, and AERJ found that most researchers heavily favor either off the shelf or researcher-developed assessments. Preliminary results suggest that the nuanced nature of researcher-developed measures may overcome any psychometric challenges. However more research is necessary further elucidate the effects of measure type on effect size.
Erin Winters, University of California - Davis
Megan E. Welsh, University of California - Davis
Scott C. Marley, Arizona State University