The Complexity Turn

Beschreibung

This book takes the reader beyond net effects and main and interaction effects thinking and methods. Complexity theory includes the tenet that recipes are more important than ingredients—any one antecedent (X) condition is insufficient for a consistent outcome (Y) (e.g., success or failure) even though the presence of certain antecedents may be necessary. A second tenet: modeling contrarian cases is useful because a high or low score for any given antecedent condition (X) associates with a high Y, low Y, and is irrelevant for high/low Y in some recipes in the same data set. Third tenet: equifinality happens—several recipes indicate high/low outcomes.
This book takes the reader beyond net effects and main and interaction effects thinking and methods. Complexity theory includes the tenet that recipes are more important than ingredients—any one antecedent (X) condition is insufficient for a consistent outcome (Y) (e.g., success or failure) even though the presence of certain antecedents may be necessary. A second tenet: modeling contrarian cases is useful because a high or low score for any given antecedent condition (X) associates with a high Y, low Y, and is irrelevant for high/low Y in some recipes in the same data set. Third tenet: equifinality happens—several recipes indicate high/low outcomes.

Shows how-to go-beyond symmetric thinking and statistical-testing to think and test using recipes and algorithms Applies complexity theory tenets to think, analyze, and report alternative recipes (configurations or chains) leading to success or failure Chapters provide numerical examples of theory, methods, and findings in several disciplinary contexts

Autor*in

Arch G. Woodside

Themen in »The Complexity Turn«

Algorithms Asymmetry Configurations Contrarian case analysis Equifinality Fuzzy-set qualitative comparative analysis

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