The "k"-means clustering method, while widely embraced in college student typology research, is often misunderstood and misapplied. Many researchers regard "k"-means as a near-universal solution for uncovering homogeneous student groups, believing its success hinges primarily on the selection of an appropriate "k."…

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 adequately large number of clusters; otherwise, some model parameters will be estimated with bias. The goals for this paper are to (1) raise awareness of the…

Introduction: The aim of this study is to gather knowledge about how different groups of Icelanders take advantage of information about health and lifestyle in their everyday life. Method: A random sample of 1,000 people was used in the study and data was gathered as a postal survey. Response rate was 50.8%. Analysis: K-means cluster analysis was…

This article reports findings from a survey of the values and perceived practices of 1212 members of staff in 32 schools in England participating in the "Learning How to Learn" (LHTL) project in relation to teachers' professional learning. Through factor analysis four underlying dimensions of teachers' learning practices were developed.…

Presents an overview of current data gathering and analytical techniques for author cocitation analysis (ACA). Highlights include selection of the author set; retrieval of cocited author counts; multivariate analyses, including multidimensional scaling; data display techniques; an example for macroeconomics; interpretation and validation of…