My current research projects include a variety of topics including employee recruitment, student learning of complex scientific information, employee engagement, team and individual performance, and job insecurity. A theme that cuts across all of my projects is an interest in quantitative research methods and analytic techniques. In fact, the topics of several current projects include applications of structural equation modeling (SEM) and meta-analysis, philosophy of science, and attenuation of validity coefficients. Some specific examples are presented below.
Student Learning with MetaTutor
This project is a 3-year grant ($1.3M) funded by the National Science Foundation (NSF) and is focused on tracking
the cognitive, affective, and meta-cognitive (CAM) self-regulatory processes that college students deploy when learning
about complex and challenging science topics (i.e., human biology) with MetaTutor.
The focus of this grant is on conducting interdisciplinary research examining:
(1) the temporal unfolding and alignment of CAM self-regulatory processes
during complex science learning with MetaTutor; (2) the influence of
experimental manipulations (non-adaptive MetaTutor versus adaptive MetaTutor)
on students’ ability to regulate their learning about complex and challenging science topics; (3) the
explanatory adequacy of using multi-method designs (with on-line, off-line, and
learning outcomes), multi-sensing technologies, and software tools to develop a
comprehensive theoretical model of the underlying CAM self-regulatory processes
during complex science learning with MetaTutor; and, (4) predictive adequacy of
advanced statistical methods and computational algorithms in determining
quantitative and qualitative changes in knowledge and SRL processes. Our
investigation of these theoretical, empirical, and educational questions will
forge new directions by tracking the key CAM processes during science learning
with MetaTutor. For more information about this project, please visit our lab website.
The current study provides evidence regarding whether the construct of employee engagement (EE) is redundant with other job attitudes such as job satisfaction, job involvement, and organizational commitment. We are using meta-analytic techniques to estimate the relations between EE and a variety of job performance indicators. These estimates will then be used in combination with existing meta-analytic data to generate a correlation matrix that will serve as the input to several path analyses. These path analyses will assess the degree to which EE provides incremental validity beyond traditional job attitudes in the prediction of valued outcomes.
Teams perform essential roles in modern organizations and the successful recruitment and selection of team members is of paramount importance. Unfortunately, few published studies have provided evidence for the factors that influence recruitment of individuals for team positions. The purpose of the current study is to examine the recruitment of employees to work in teams through an investigation into the impact of perceptions of teams on pre-hire recruitment variables in team and individual positions.