Reliability of Therapist Effects in Practice-Based Psychotherapy Research: A Guide for the Planning of Future Studies

Anne-Katharina Schiefele; Wolfgang Lutz; Michael Barkham; Julian Rubel; Jan Böhnke; Jaime Delgadillo; Mark Kopta; Dietmar Schulte; David Saxon; Stevan L Nielsen; Michael J Lambert

doi:10.1007/s10488-016-0736-3

Reliability of Therapist Effects in Practice-Based Psychotherapy Research: A Guide for the Planning of Future Studies

Anne-Katharina Schiefele, Wolfgang Lutz, Michael Barkham, Julian Rubel, Jan Böhnke, Jaime Delgadillo, Mark Kopta, Dietmar Schulte, David Saxon, Stevan L Nielsen, Michael J Lambert

Research output: Contribution to journal › Article › peer-review

Abstract

This paper aims to provide researchers with practical information on sample sizes for accurate estimations of therapist effects (TEs). The investigations are based on an integrated sample of 48,648 patients treated by 1800 therapists. Multilevel modeling and resampling were used to realize varying sample size conditions to generate empirical estimates of TEs. Sample size tables, including varying sample size conditions, were constructed and study examples given. This study gives an insight into the potential size of the TE and provides researchers with a practical guide to aid the planning of future studies in this field.

Original language	English
Number of pages	16
Journal	Administration and Policy in Mental Health and Mental Health Services Research
DOIs	https://doi.org/10.1007/s10488-016-0736-3
Publication status	Published - 5 May 2016

Bibliographical note

© Springer Science+Business Media New York 2016. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details

Access to Document

10.1007/s10488-016-0736-3

pre-published version_ TE paper
© Springer Science+Business Media New York 2016. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details
Accepted author manuscript, 605 KB

Cite this

Schiefele, A.-K., Lutz, W., Barkham, M., Rubel, J., Böhnke, J., Delgadillo, J., Kopta, M., Schulte, D., Saxon, D., Nielsen, S. L., & Lambert, M. J. (2016). Reliability of Therapist Effects in Practice-Based Psychotherapy Research: A Guide for the Planning of Future Studies. Administration and Policy in Mental Health and Mental Health Services Research. https://doi.org/10.1007/s10488-016-0736-3

@article{13c3324e75834fde84199ce2902393c5,

title = "Reliability of Therapist Effects in Practice-Based Psychotherapy Research: A Guide for the Planning of Future Studies",

abstract = "This paper aims to provide researchers with practical information on sample sizes for accurate estimations of therapist effects (TEs). The investigations are based on an integrated sample of 48,648 patients treated by 1800 therapists. Multilevel modeling and resampling were used to realize varying sample size conditions to generate empirical estimates of TEs. Sample size tables, including varying sample size conditions, were constructed and study examples given. This study gives an insight into the potential size of the TE and provides researchers with a practical guide to aid the planning of future studies in this field.",

author = "Anne-Katharina Schiefele and Wolfgang Lutz and Michael Barkham and Julian Rubel and Jan B{\"o}hnke and Jaime Delgadillo and Mark Kopta and Dietmar Schulte and David Saxon and Nielsen, {Stevan L} and Lambert, {Michael J}",

note = "{\textcopyright} Springer Science+Business Media New York 2016. This is an author-produced version of the published paper. Uploaded in accordance with the publisher{\textquoteright}s self-archiving policy. Further copying may not be permitted; contact the publisher for details",

year = "2016",

month = may,

day = "5",

doi = "10.1007/s10488-016-0736-3",

language = "English",

journal = "Administration and Policy in Mental Health and Mental Health Services Research",

issn = "0894-587X",

publisher = "Springer",

}

Schiefele, A-K, Lutz, W, Barkham, M, Rubel, J, Böhnke, J, Delgadillo, J, Kopta, M, Schulte, D, Saxon, D, Nielsen, SL & Lambert, MJ 2016, 'Reliability of Therapist Effects in Practice-Based Psychotherapy Research: A Guide for the Planning of Future Studies', Administration and Policy in Mental Health and Mental Health Services Research. https://doi.org/10.1007/s10488-016-0736-3

TY - JOUR

T1 - Reliability of Therapist Effects in Practice-Based Psychotherapy Research

T2 - A Guide for the Planning of Future Studies

AU - Schiefele, Anne-Katharina

AU - Lutz, Wolfgang

AU - Barkham, Michael

AU - Rubel, Julian

AU - Böhnke, Jan

AU - Delgadillo, Jaime

AU - Kopta, Mark

AU - Schulte, Dietmar

AU - Saxon, David

AU - Nielsen, Stevan L

AU - Lambert, Michael J

N1 - © Springer Science+Business Media New York 2016. This is an author-produced version of the published paper. Uploaded in accordance with the publisher’s self-archiving policy. Further copying may not be permitted; contact the publisher for details

PY - 2016/5/5

Y1 - 2016/5/5

N2 - This paper aims to provide researchers with practical information on sample sizes for accurate estimations of therapist effects (TEs). The investigations are based on an integrated sample of 48,648 patients treated by 1800 therapists. Multilevel modeling and resampling were used to realize varying sample size conditions to generate empirical estimates of TEs. Sample size tables, including varying sample size conditions, were constructed and study examples given. This study gives an insight into the potential size of the TE and provides researchers with a practical guide to aid the planning of future studies in this field.

AB - This paper aims to provide researchers with practical information on sample sizes for accurate estimations of therapist effects (TEs). The investigations are based on an integrated sample of 48,648 patients treated by 1800 therapists. Multilevel modeling and resampling were used to realize varying sample size conditions to generate empirical estimates of TEs. Sample size tables, including varying sample size conditions, were constructed and study examples given. This study gives an insight into the potential size of the TE and provides researchers with a practical guide to aid the planning of future studies in this field.

U2 - 10.1007/s10488-016-0736-3

DO - 10.1007/s10488-016-0736-3

M3 - Article

C2 - 27147427

SN - 0894-587X

JO - Administration and Policy in Mental Health and Mental Health Services Research

JF - Administration and Policy in Mental Health and Mental Health Services Research

ER -