The estimation of power in two-level models used to analyze data that are hierarchically
structured is particularly complex because the outcome contains variance at two levels that …

Plants rely on a variety of ways to protect themselves from being fed upon, including de novo
production of specific compounds such as those termed as phenolics. Phenolics are often …

The topic of green human resource management (HRM) has drawn increasing attention of
HRM scholars in the past decade. Recent research has called for more studies to identify the …

In psychology and the behavioral sciences generally, the use of the hierarchical linear
model (HLM) and its extensions for discrete outcomes are popular methods for modeling …

The purpose of this study was to examine the overall effectiveness of the flipped classroom
on students' learning achievement and motivation. Data were collected from three …

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 …

Large achievement gaps exist between high-and low-income students and between black
and white students. This article explores one explanation for such gaps: income segregation …

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

This book demonstrates how to use multilevel and longitudinal modeling techniques
available in the IBM SPSS mixed-effects program (MIXED). Annotated screen shots provide …

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