Not All Students Need to be Assessed: Research Designs Where Data are Intentionally Missing
2011-2012 Methodology Applications Series
It can be daunting, difficult, or outright impossible to gain access to adequately large participant samples in order to test research hypotheses under conventional thinking. This talk will outline research design decisions that may enable researchers to answer important questions with smaller assessment batteries or smaller sample sizes than what may traditionally be recommended. Several practical examples will be presented to illustrate two broad scenarios: All participants are assessed, but not on all instruments; or all participants are assessed on all instruments, but not all participants initially anticipated actually participate. The literature bases on planned missing data designs and sequentially designed experiments will be used to support empirical examples of potential resource savings.