Most statistical techniques presented in standard courses on statistical methods in undergraduate and graduate social science programs presume the presence of complete data. In class after class, research scenarios are presented that can be analyzed using t ‐tests of mean differences from independent or dependent samples, z ‐tests or t ‐tests of correlations, analysis of variance using one‐way or multi‐way designs, or other techniques. Because these scenarios are usually idealized examples, the issue of missing data is rarely, if ever, confronted. However, in conducting developmental research, particularly longitudinal investigations, the presence of missing data is the rule, not the exception. Practicing scientists design research studies fully committed to obtaining complete responses by each participant to all questions at each time of measurement, knowing that the likelihood of accomplishing this goal is essentially zero. Because missing data are expected in longitudinal studies, questions naturally arise regarding how to analyze data to arrive at the least biased representation of developmental trends. Research on modern approaches to dealing with missing data began three decades ago, spurred by a framework developed by Rubin (1976) . Then, about two decades ago, several important papers and books were published, including Little and Rubin (1987)
Monographs of the Society for Research in Child Development – Wiley
Published: Dec 1, 2006
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, 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