Social and Behavioral Sciences Commons^™

The Development Of Generativity Among College Student Leaders Who Mentor: A Growth Curve Analysis, Hannah Sunderman

College of Education and Human Sciences: Dissertations, Theses, and Student Research

The purpose of this longitudinal study was to examine generativity development among college student leaders who mentor. There were four research objectives: (a) the nature of change in generativity among college student leaders who serve as a Leadership Mentor for three years, (b) the predictive relationship between generative concern and generative behavior at Time One, Time Two, and Time Three, (c) the moderating effect of having been or currently being an informal or formal mentee on generativity levels and generativity development, and (d) the influence of participant sex (i.e., male or female) on generativity level and generativity development. Participants completed …

A Comparison Of Population-Averaged And Cluster-Specific Approaches In The Context Of Unequal Probabilities Of Selection, Natalie A. Koziol

College of Education and Human Sciences: Dissertations, Theses, and Student Research

Sampling designs of large-scale, federally funded studies are typically complex, involving multiple design features (e.g., clustering, unequal probabilities of selection). Researchers must account for these features in order to obtain unbiased point estimators and make valid inferences about population parameters. Single-level (i.e., population-averaged) and multilevel (i.e., cluster-specific) methods provide two alternatives for modeling clustered data. Single-level methods rely on the use of adjusted variance estimators to account for dependency due to clustering, whereas multilevel methods incorporate the dependency into the specification of the model.

Although the literature comparing single-level and multilevel approaches is vast, comparisons have been limited to the …