Multilevel models are an increasingly popular method to analyze data that originate from a
clustered or hierarchical structure. To effectively utilize multilevel models, one must have an …

Despite the significant amount of existing research examining the relationship of follower-
related factors with leadership outcomes, there is no systematic, critical review that …

In their quest for retaining or enhancing their overall brand equity, firms engage with their
customers. This study investigates if brand engagement blossoms in brand love and the …

Scales with varying degrees of measurement reliability are often used in the context of
multistage sampling, where variance exists at multiple levels of analysis (eg, individual and …

Several methods for testing mediation hypotheses with 2-level nested data have been
proposed by researchers using a multilevel modeling (MLM) paradigm. However, these …

This study investigated the effects of flexibility human resource management (HRM) on
employee outcomes over time, as well as the role of age in these relations. Based on work …

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

Given that organizations need to manage complex situations, multiple organizational
climates can coexist and these climates can jointly influence employee behaviors. However …

In this study, we analyse compliance for a large sample of European companies mandatorily
applying International Financial Reporting Standards (IFRS). Focusing on disclosures …

When thinking about sample size in multilevel modeling, it is important to realize that there
are potential sample size issues at several distinct levels. The concern is usually about the …