Q methodology
by Thomas, Dan, MacKeown, Bruce
fromQuantitative applications in the social sciences
The second edition of the first book on Q methodology for social scientists reviews the philosophical foundations of subjective communicability (concourse theory), operant subjectivity, and quantum-theoretical aspects of Q as relevant to the social and behavioral sciences. The a…
Most questions in social and biomedical sciences are causal in nature: what would happen to individuals, or to groups, if part of their environment were changed? In this groundbreaking text, two world-renowned experts present statistical methods for studying such questions. This…
This book guides readers through conventional statistical concepts and how tot interpret them in GLM terms, treating the main single- and multi-factor designs as they relate to ANOVA and ANCOVA.
This textbook describes both the conventional and less common uses of linear regression in the practical context of today's mathematical and scientific research. It blends both theory and application to equip the reader with an understanding of the basic principles necessary to …
This business analytics (BA) text discusses the models based on fact-based data to measure past business performance to guide an organization in visualizing and predicting future business performance and outcomes. It provides a comprehensive overview of analytics in general with…
This collection of essays offers a synthesis of foundational studies in Bayesian decision theory and statistics. A key topic is understanding how Bayesian decision making should apply in settings with more than one rational decision maker.