Multiple imputation (MI) is a popular method for handling missing data. In education research, it can be challenging to use MI because the data often have a clustered structure that need to be accommodated during MI. Although much research has considered applications of MI in hierarchical data, little is known about its use in cross-classified…

We encounter variables with little variation often in educational data mining (EDM) due to the demographics of higher education and the questions we ask. Yet, little work has examined how to analyze such data. Therefore, we conducted a simulation study using logistic regression, penalized regression, and random forest. We systematically varied the…

The development in information science has enabled an explosive growth of data, which attracts more and more researchers to engage in the field of big data analytics. Noticeably, in many real-world applications, large amounts of data are imbalanced data since the events of interests occur infrequently. Classification of imbalanced data is an…

In education research, small samples are common because of financial limitations, logistical challenges, or exploratory studies. With small samples, statistical principles on which researchers rely do not hold, leading to trust issues with model estimates and possible replication issues when scaling up. Researchers are generally aware of such…

Two basic data sources required for research studies have been secondary and primary. Secondary data collection helps the researcher to provide relevant background to the study and are, in most cases, available for retrieval from recorded sources. Primary data collection requires the researcher to venture into the field where the study is to take…

This paper explores systems of classification to develop a conceptual model adequate as an organized knowledge base for organizational communication research findings. The paper notes that present classification systems employed in organizational communication textbooks and in reviews of organizational literature are not adequate to the task of…

Reviews the scholarly work that uses content analysis to study political substance in magazines. Uses a modified version of Laswell's communication model to classify the current literature. Discusses problematic issues and offers possible solutions. (SR)

Discusses the concept of temperament interactions in the context of statistical interaction. Categorizes temperament interactions that involve temperament as an independent variable, as a dependent variable, or as both. Describes use of hierarchical multiple regression for the analysis of temperament interactions. (Author/CI)

This commentary responds to a critique (EC 601 711) of a paper (EC 211 387) concerning use of cluster analysis to develop a taxonomy of lifestyles of families with severely mentally retarded children. The commentary considers the model to be useful in social science inquiry, and properly validated when using cluster analytic techniques. (JDD)

This handbook outlines procedures for evaluating a school guidance program. Defined first are the concept of guidance evaluation and basic terms in guidance evaluation. The purpose of guidance evaluation is discussed. Covered in a description of problems and difficulties in doing guidance evaluation are general problems; problems relating to…

This manual describes a system of procedures (model) constructed for the purpose of improving occupational student follow-up in California community colleges. The model was developed by a consortium of 12 leaders in California community colleges, with input from others. A fundamental component in the model is a uniform method for classifying…