Rct Books
Showing 1-20 of 20
Relational–Cultural Therapy (Theories of Psychotherapy Series®)
by (shelved 1 time as rct)
avg rating 4.60 — 15 ratings — published
Creating Connection: A Relational-Cultural Approach with Couples (Family Therapy and Counseling) Paperback – June 14, 2013
by (shelved 1 time as rct)
avg rating 0.0 — 0 ratings — published
When Getting Along Is Not Enough: Reconstructing Race in Our Lives and Relationships (Paperback)
by (shelved 1 time as rct)
avg rating 4.03 — 29 ratings — published
Connected Teaching: Relationship, Power, and Mattering in Higher Education (Paperback)
by (shelved 1 time as rct)
avg rating 4.20 — 45 ratings — published
Transforming Community: Stories of Connection Through the Lens of Relational-Cultural Theory (Paperback)
by (shelved 1 time as rct)
avg rating 4.00 — 2 ratings — published
Wired to Connect: The Surprising Link Between Brain Science and Strong, Healthy Relationships (Paperback)
by (shelved 1 time as rct)
avg rating 4.02 — 91 ratings — published
The Power of Connection: Recent Developments in Relational-Cultural Theory (Hardcover)
by (shelved 1 time as rct)
avg rating 4.50 — 4 ratings — published 2009
Relational-Cultural Therapy (Theories of Psychotherapy)
by (shelved 1 time as rct)
avg rating 4.41 — 178 ratings — published 2009
Women's Growth in Diversity: More Writings from the Stone Center (Paperback)
by (shelved 1 time as rct)
avg rating 4.30 — 23 ratings — published 1997
Diversity and Development: Critical Contexts that Shape Our Lives and Relationships (Hardcover)
by (shelved 1 time as rct)
avg rating 3.27 — 15 ratings — published 2004
The Complexity of Connection: Writings from the Stone Center's Jean Baker Miller Training Institute (Paperback)
by (shelved 1 time as rct)
avg rating 4.44 — 48 ratings — published 2004
How Connections Heal: Stories from Relational-Cultural Therapy (Paperback)
by (shelved 1 time as rct)
avg rating 4.26 — 46 ratings — published 2004
The Healing Connection: How Women Form Relationships in Therapy and in Life (Paperback)
by (shelved 1 time as rct)
avg rating 4.16 — 161 ratings — published 1997
Women's Growth In Connection: Writings from the Stone Center (Paperback)
by (shelved 1 time as rct)
avg rating 4.23 — 64 ratings — published 1991
Toward a New Psychology of Women (Paperback)
by (shelved 1 time as rct)
avg rating 4.05 — 340 ratings — published 2005
NYS-RCT science review: A comprehensive review for the New York State Regents competency test in science (Paperback)
by (shelved 1 time as rct)
avg rating 0.0 — 0 ratings — published 1987
Dissolving Classroom (Paperback)
by (shelved 1 time as rct)
avg rating 3.80 — 14,111 ratings — published 2013
José Rizal: Life, Works, and Writings of a Genius, Writer, Scientist, and National Hero (Paperback)
by (shelved 1 time as rct)
avg rating 4.20 — 4,565 ratings — published 1983
Introduction to Randomized Controlled Clinical Trials (Texts in Statistical Science Series)
by (shelved 1 time as rct)
avg rating 4.50 — 2 ratings — published 2006
Randomized Clinical Trials: Design, Practice and Reporting (Paperback)
by (shelved 1 time as rct)
avg rating 4.00 — 3 ratings — published 2010
“I believe that it is the task of social science to produce nuanced and people-centered forms of knowledge, correcting asymmetries of information and helping to promote, to the best of our ability, informed consent, human protection, and safety in medical and research settings.”
― When Experiments Travel: Clinical Trials and the Global Search for Human Subjects
― When Experiments Travel: Clinical Trials and the Global Search for Human Subjects
“How was confounding defined then, and how should it be defined? Armed with what we now know about the logic of causality, the answer to the second question is easier. The quantity we observe is the conditional probability of the outcome given the treatment, P(Y | X). The question we want to ask of Nature has to do with the causal relationship between X and Y, which is captured by the interventional probability P( Y | do(X)). Confounding, then, should simply be defined as anything that leads to a discrepancy between the two: P(Y | X) != P(Y | do(X)). Why all the fuss.”
― The Book of Why: The New Science of Cause and Effect
― The Book of Why: The New Science of Cause and Effect
