Founded in 1973, Guilford Press has built an international reputation as a publisher of books in mental health, education, geography, and research methods. We pride ourselves on teaming up with authors who are recognized experts, and who translate their knowledge into vital, needed resources for practitioners, academics, and general readers. Our dedicated editorial professionals work closely on each title to produce high-quality content that readers can rely on.
Providing nuts-and-bolts advice about the process of doing therapy, starting with the first contact with a new patient, this title focuses on such tasks as setting up appointments and discussing payment, conducting effective assessments while setting patients at ease, and dealing with mundane and serious clinical concerns.
Acclaimed for helping novice behavioral scientists hit the ground running as producers of meaningful research, this text now has been extensively revised with more than 50% new material, including current guidance on open science; transparency; replication; and quantitative, qualitative, and mixed methods reporting standards. The book provides the ......
Acclaimed for helping novice behavioral scientists hit the ground running as producers of meaningful research, this text now has been extensively revised with more than 50% new material, including current guidance on open science; transparency; replication; and quantitative, qualitative, and mixed methods reporting standards. The book provides the ......
This book offers researchers a systematic and accessible introduction to using a Bayesian framework in structural equation modeling (SEM). Stand-alone chapters on each SEM model clearly explain the Bayesian form of the model and walk the reader through implementation. Engaging worked-through examples from diverse social science subfields ......
It includes new chapters on model uncertainty, Bayesian variable selection and sparsity, and Bayesian workflow for statistical modeling. Clearly explaining frequentist and epistemic probability and prior distributions, the second edition emphasizes use of the open-source RStan software package.
Bridging the gap between traditional classical statistics and a Bayesian approach, David Kaplan provides readers with the concepts and practical skills they need to apply Bayesian methodologies to their data analysis problems. Part I addresses the elements of Bayesian inference, including exchangeability, likelihood, prior/posterior distributions, ......
Seven contributions address the practical details involved in conducting group therapy, covering such topics as patient selection, developing structure, the therapist's role, and dealing with difficult patients and challenging situations. Intended for students as well as practicing psychotherapists
Written expressly for non-neuropsychologists, this book offers a concise, friendly introduction to the developing brain and its functions. Stephen R. Hooper renders complex concepts accessible as he describes the structure of the brain and the workings of the nervous system.
Written expressly for non-neuropsychologists, this book offers a concise, friendly introduction to the developing brain and its functions. Stephen R. Hooper renders complex concepts accessible as he describes the structure of the brain and the workings of the nervous system.