Not exact matches
Done well, these methods of blending data can provide a result with strong
statistical power, finding an effect that might be missed in a
single study.
«This
study of a
single mass shooting and a
single type of gun violence amounts to little more than a
statistical anecdote,» wrote Gary Kleck, a criminologist at Florida State University in Tallahassee, to Science.
Plotkin hopes that linguists will find the notion of drift and his
statistical tests to be useful, because they allow researchers to
study the patterns and timing of change in a
single language rather than having to compare languages.
The
study, released yesterday by Lawrence Berkeley National Laboratory, assessed nearly 7,500
single - family houses and applied
statistical methods and 10 different pricing models to draw its conclusions.
Further research topics are
statistical / computational methods to
study complex experimental data (e.g. cellular genealogies) and image analysis procedures (e.g. model - based segmentation algorithms in the context of automatic
single cell tracking).
In addition to the
statistical analysis of the data, the detailed
study of
single objects through spatially resolving the disk and detailed modeling of the data is a main goal of the project.
Cox et al. provide a
statistical uncertainty range for a
single study, ignoring structural uncertainty and systematic biases resulting from their choice of model and method.
The IPCC range, on the other hand, encompasses the overall uncertainty across a very large number of
studies, using different methods all with their own potential biases and problems (e.g., resulting from biases in proxy data used as constraints on past temperature changes, etc.) There is a number of
single studies on climate sensitivity that have
statistical uncertainties as small as Cox et al., yet different best estimates — some higher than the classic 3 °C, some lower.
If, in the empirical phase of the associated
study, the
study's
statistical population is sampled with
single replacement, this hypothesis can not be determined to be true with a sample of finite size; as every realizable sample is of finite size, this hypothesis can not be determined to be true.
This so - called «meta - analysis» allows scientists to draw
statistical significance from the combined
studies even when a
single study might not be considered conclusive — in much the same sense that no
single weather event can be said to result from climate change but the
statistical trend indicates that more extreme weather events will become more frequent in a warming world.
These figures were not derived from a
single study, but year after year of
statistical analysis.
For example, some have found significant differences between children with divorced and continuously married parents even after controlling for personality traits such as depression and antisocial behavior in parents.59 Others have found higher rates of problems among children with
single parents, using
statistical methods that adjust for unmeasured variables that, in principle, should include parents» personality traits as well as many genetic influences.60 And a few
studies have found that the link between parental divorce and children's problems is similar for adopted and biological children — a finding that can not be explained by genetic transmission.61 Another
study, based on a large sample of twins, found that growing up in a
single - parent family predicted depression in adulthood even with genetic resemblance controlled statistically.62 Although some degree of selection still may be operating, the weight of the evidence strongly suggests that growing up without two biological parents in the home increases children's risk of a variety of cognitive, emotional, and social problems.
He received his Ph.D. in Special Education from the University of Missouri where he
studied special education policy,
statistical analysis,
single - subject research, Positive Behavior Support (PBS), and Applied Behavior Analysis (ABA).
The chapter includes the description of a framework for categorizing four types of
studies (group design,
single subject design, correlational, case
studies) and four types of literature reviews (narrative, summative, systematic, meta - analysis) for conducting research syntheses which focus on the identification of the key characteristics of early childhood intervention practices and their functional or
statistical relationship to the behavior the practices are intended to change or improve.
NAR's
study reviewed new home construction relative to job gains over a three - year period (2013 - 2015) in 171 metropolitan
statistical areas1 (MSAs) throughout the U.S. to determine the markets with the greatest shortage of
single - family housing starts.