Neuroimaging data is being increasingly utilized to address questions of individual
difference. When examined with task-related fMRI (t-fMRI), individual differences are …

Intensive longitudinal data provide psychological researchers with the potential to better
understand individual-level temporal processes. While the collection of such data has …

Researchers often have difficulties collecting enough data to test their hypotheses, either
because target groups are small or hard to access, or because data collection entails …

Structural equation models (SEMs) are widely used to handle multiequation systems that
involve latent variables, multiple indicators, and measurement error. Maximum likelihood …

This study examines how the identity orientation of founders, ie, the extent to which they
define themselves in terms of their relationships to others and to social groups, is imprinted …

Structural equation modeling (SEM) is a statistical modeling procedure that is used in the
social and behavioral sciences to study the relationships among latent variables (Bollen …

This study advances the literature on entrepreneurial passion, which struggles to explain
when and how the experience of passion impacts venture-level performance, by shifting the …

Measurement connects theoretical concepts to what is observable in the empirical world,
and is fundamental to all social and behavioral research. In this volume, J. Micah Roos and …

Few dispute that our models are approximations to reality. Yet when it comes to structural
equation models (SEMs), we use estimators that assume true models (eg maximum …

For family firms, alliances represent a form of heightened entrepreneurial risk‐taking.
However, a dearth of research exists on the implications of forms of alliance governance for …