Psychotherapy research has been interested in understanding the variability observed among therapists with regard to their treatment effectiveness. An important initial step towards understanding the source of the differences is to reliably identify therapists that are effective. The current paper thus proposes a method for benchmarking therapists against predetermined criteria of effectiveness which could be conducted using any standard statistical package. Basic steps include (a) creating benchmark(s), (b) determining a prior the numerical criteria that constitute as “effective” based on the benchmark(s), (c) calculating pre-post effect sizes as an indicator of effectiveness at the case level using statistical adjustments so as to best match clinical (and other) differences among cases, and (d) statistically benchmarking the therapists using a random-effects hierarchical linear modeling. An example is provided that highlights the number of therapists who would be classified as effective based on various numerical criteria and confidence levels.
Quality & Quantity – Springer Journals
Published: Sep 7, 2011
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera