Quantitative Social Science Research in Practice: Generating Novel and Parsimonious Explanatory Models examines quantitative Behavioral Science Research (BSR) by focusing on four key areas:
- Developing Novel, Parsimonious, and Actionable Causal Models: Researchers often face challenges in creating new, parsimonious causal models supported by empirical evaluation. A promising approach involves using meta-analytic reviews and recent studies to identify relevant constructs and hypotheses to justify them through established theories and research.
- Exploring the Scope of Context for a Novel Causal Model: The relevance of causal models may vary based on context, such as national or organizational culture, economic and political situations, and feasibility constraints. BSR has struggled to balance rigor and relevance, as theories effective in one context may not be valid in another. This book presents an approach to determine the context scope f
