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Situational factors and behavioral self‐predictions in the identification of clients at high risk to drop out of psychotherapy
Author(s) -
Beck Niels C.,
Lamberti Joseph,
Gamache Michael,
Lake Elizabeth A.,
Fraps Carolyn L.,
McReynolds William T.,
Reaven Noah,
Heisler Gerry H.,
Dunn James
Publication year - 1987
Publication title -
journal of clinical psychology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.124
H-Index - 119
eISSN - 1097-4679
pISSN - 0021-9762
DOI - 10.1002/1097-4679(198709)43:5<511::aid-jclp2270430515>3.0.co;2-u
Subject(s) - situational ethics , psychology , attendance , drop out , discriminant function analysis , clinical psychology , session (web analytics) , mental health , identification (biology) , psychiatry , psychotherapist , social psychology , botany , machine learning , world wide web , computer science , economics , demographic economics , biology , economic growth
Two hundred and eight adults who requested outpatient treatment at a community mental health center were asked to complete brief questionnaires immediately prior to and after their first therapy session. Questionnaires contained items that pertained to self‐predicted length of stay in psychotherapy, situational barriers to regular attendance, and past behavior in similar situations (e.g., appointment‐keeping with other health care professionals). Therapists also were asked to make predictions with regard to client length of stay. Questionnaire data were analyzed via a series of double cross‐validated multiple regression and discriminant function equations, and results indicated that client and therapist predictions of length of stay in therapy were the most stable and consistent correlates of attendance behavior.