This article shows how assessment data such as that mandated by the No Child Left Behind Act can be used to examine the effectiveness of educational interventions and meet the Act’s mandate for “scientifically based research.” Based on the classic research design literature a cohort control group and a cohort control group with historical comparisons design are suggested as internally valid analyses. The logic of the “grounded theory of generalized causal inference” is used to develop externally valid results. The procedure is illustrated with published data regarding the Reading Mastery curriculum. Empirical results are comparable to those obtained in meta-analyses of the curriculum, with effect sizes surpassing the usual criterion for educational importance. Implications for school officials and policy makers are discussed.
Quality & Quantity – Springer Journals
Published: Dec 11, 2011
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera