Although the statistical tools most often used by researchers in the field of psychology over
the last 25 years are based on frequentist statistics, it is often claimed that the alternative …

In small sample contexts, Bayesian estimation is often suggested as a viable alternative to
frequentist estimation, such as maximum likelihood estimation. Our systematic literature …

Abstract Background An Israeli national taskforce performed a multi-center clinical and
analytical validation of seven serology assays to determine their utility and limitations for …

As Bayesian methods continue to grow in accessibility and popularity, more empirical
studies are turning to Bayesian methods to model small sample data. Bayesian methods do …

Small-sample inference with clustered data has received increased attention recently in the
methodological literature, with several simulation studies being presented on the small …

Bayesian statistical methods are slowly creeping into all fields of science and are becoming
ever more popular in applied research. Although it is very attractive to use Bayesian …

Studies on small sample properties of multilevel models have become increasingly
prominent in the methodological literature in response to the frequency with which small …

Survey data in social, behavioral, and health sciences often contain many variables (p).
Structural equation modeling (SEM) is commonly used to analyze such data. With a …

Applauded for its clarity, this accessible introduction helps readers apply multilevel
techniques to their research. The book also includes advanced extensions, making it useful …

The field of mobile health (“m-Health”) is evolving rapidly and there is an explosive growth of
psychological tools on the market. Exciting high-tech developments may identify symptoms …