{"product_id":"experimental-and-quasi-experimental-designs-for-generalized-causal-inference-0395615569-rlro","title":"Diseños experimentales y cuasiexperimentales para la inferencia causal generalizada","description":"\u003ch2\u003eWhat Makes This Book Essential for Researchers?\u003c\/h2\u003e\u003cp\u003eUnderstanding causality is at the heart of scientific research. \u003cem\u003eExperimental and Quasi-Experimental Designs for Generalized Causal Inference\u003c\/em\u003e is the go-to resource for those seeking to master methods that allow for establishing valid causal relationships. Written by William R. Shadish, Thomas D. Cook, and Donald T. Campbell, this text is the natural successor to Campbell and Stanley's classic, expanding and deepening the foundations of causal inference. If you work in experimental psychology, social sciences, or any field that requires evaluating interventions, this book provides you with the conceptual and practical tools to design robust studies.\u003c\/p\u003e\u003ch2\u003eBook Content and Approach\u003c\/h2\u003e\u003cp\u003eThe work addresses both experimental and quasi-experimental designs, with an emphasis on internal, external, construct, and statistical validity. Each chapter breaks down threats to validity and how to mitigate them through appropriate design choices. Topics such as random assignment, control groups, interrupted time series, and regression discontinuity designs are explored. The text is not an introduction; it assumes some familiarity with basic methodology and serves as an advanced resource for experienced researchers.\u003c\/p\u003e\u003ch2\u003eHow Is It Related to Experimental Psychology?\u003c\/h2\u003e\u003cp\u003eExperimental psychology relies on the ability to isolate variables and establish causal relationships. This book is directly relevant because it offers a rigorous framework for designing experiments and quasi-experiments that maximize the validity of findings. From sample selection to data analysis, every design decision is examined in light of its impact on causal inference. For graduate students, professors, and applied researchers, this work is an indispensable guide to avoiding common pitfalls and strengthening the credibility of findings.\u003c\/p\u003e\u003ch2\u003eReader Reviews\u003c\/h2\u003e\u003cp\u003eThose who have used this manual highlight its comprehensiveness and depth. An experienced reader recommends it as the successor to Campbell and Stanley's work, noting that it explains techniques clearly and understandably. Another researcher, after studying it in detail, states that it offers a much more complete understanding of experimental and quasi-experimental designs. Although some consider it a slow read due to its density, they agree that it is an invaluable reference. Overall, it is valued as the most complete and thoughtful treatment of the subject.\u003c\/p\u003e\u003ch2\u003eFrequently Asked Questions About Experimental and Quasi-Experimental Designs\u003c\/h2\u003e\u003cp\u003e\u003cstrong\u003eWhat is the difference between an experimental and a quasi-experimental design?\u003c\/strong\u003e In an experimental design, participants are randomly assigned to conditions, which allows for controlling extraneous variables. In a quasi-experimental design, there is no random assignment, so additional strategies are required to rule out alternative explanations.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eIs this book suitable for beginners?\u003c\/strong\u003e No, it is intended for those who already have basic knowledge of research methodology. Beginners may benefit from a general introduction before tackling this text.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat makes this book unique?\u003c\/strong\u003e Its focus on the generalization of causal inference, combining statistical theory, applied examples, and a detailed discussion of threats to validity. It has been the standard in the field since its publication.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDoes it include practical examples?\u003c\/strong\u003e Yes, each concept is illustrated with real-world studies, showing how to apply the designs in diverse contexts such as education, public health, and psychology.\u003c\/p\u003e","brand":"Shadish, Cook \u0026 Campbell","offers":[{"title":"Default Title","offer_id":48753360240794,"sku":null,"price":180.63,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0761\/4831\/0170\/files\/81LniWVjaoL._SL1500_ac6e5ab6-3bda-4390-8bd2-61319a8f4643.jpg?v=1784214976","url":"https:\/\/vitaminaspain.es\/es\/products\/experimental-and-quasi-experimental-designs-for-generalized-causal-inference-0395615569-rlro","provider":"vitaminaspain","version":"1.0","type":"link"}