Interpersonal Attraction Research: Exploring Scientific Models That Explain Why People Form Romantic Relationships

An academic guide to the science of why people are drawn to one another. This book brings together major theories, research methods, and statistical tools used to study romantic attraction and relationship formation. It is designed for readers who want more than broad summaries, offering a structured look at how attraction is defined, measured, modeled, and interpreted across psychological, biological, and social perspectives.Moving from foundational concepts to advanced applications, the chapters examine how attraction differs from liking, love, and commitment, and how researchers operationalize these ideas in real studies. Readers will find practical guidance on measurement quality, experimental and longitudinal design, dyadic analysis, and modern approaches such as structural equation modeling, survival analysis, and network methods.What the book covers- Theoretical foundations, including similarity, complementarity, reinforcement, attachment, self-concept, and social exchange.- Biological and evolutionary perspectives on mate choice, health cues, and short-term versus long-term preferences.- Social and cultural influences, such as norms, media, stereotypes, and dating scripts.- Research design and statistics for studying attraction with rigor and clarity.- Applied examples that show how to build studies and test hypotheses in real-world settings.The book also emphasizes careful science, including reliability, validity, measurement invariance, replication, ethics, and participant protection. Rather than treating attraction as a single universal mechanism, it shows how multiple factors interact, from personal identity and emotional regulation to opportunity structures and partner availability.Ideal for students, researchers, and advanced readers in psychology, relationship science, and behavioral research, this volume offers a practical framework for understanding how romantic bonds begin, why some connections form while others do not, and how different explanatory models can be integrated into one coherent research program.