Sample characteristics |
1 |
Who are the subjects and how many of them are there in this study? |
2 |
Why was this sample selected in light of the research goals? |
3 |
How was this sample obtained, recruited, and selected? |
4 |
What are the subject and demographic characteristics of the sample (e.g. sex, age, ethnicity, race, socio-economic status)? |
5 |
What, if any, inclusion and exclusion criteria were invoked (i.e. selection rules to obtain participants)? |
6 |
How many of those subjects eligible or recruited actually were selected and participated in the study? |
7 |
With regard to clinical dysfunction or subject and demographic characteristics, is this a relatively homogeneous or heterogeneous sample? |
Design |
1 |
How were subjects assigned to groups or conditions? |
2 |
How many groups were included in the design? |
3 |
How are the groups similar and different in how they are treated in the study? |
4 |
Why are these groups critical for addressing the questions of interest? |
Procedures |
1 |
Where was the study conducted (setting)? |
2 |
What measures, materials, equipment, and/or apparatus were used in the study? |
3 |
What is the chronological sequence of events to which subjects were exposed? |
4 |
What intervals elapsed between different aspects of the study (assessment, treatment, follow-up)? |
5 |
What variation in administration of conditions emerged over the course of the study that may introduce variation within and between conditions? |
6 |
What procedural checks were completed to avert potential sources of bias in implementing the manipulation and assessment of dependent measures? |
7 |
What checks were made to ensure that the conditions were carried out as intended? |
8 |
What other information does the reader need to know to understand how subjects were treated and what conditions were provided? |
Therapists |
1 |
Who are the therapists, and why are these individuals selected? |
2 |
Can the influence of the therapist be evaluated in the design as a ‘factor’ (as in a factorial design) or can therapist efforts be evaluated within a condition? |
3 |
Are the therapists adequately trained? By what criteria? |
4 |
Can the quantity and quality of their training and implementation of treatment be measured? |
Treatment |
1 |
What characteristics of the clinical problem or cases make this particular treatment a reasonable approach? |
2 |
Does the version of treatment represent the treatment as it is usually carried out? |
3 |
Does the investigation provide a strong test of treatment? On what basis has one decided that this is a strong test? |
4 |
Has treatment been specified in manual form or have explicit guidelines been provided? |
5 |
Has the treatment been carried out as intended? (Integrity is examined during the study but evaluated after it is completed.) |
6 |
Can the degree of adherence of therapists to the treatment manual be codified? |
7 |
What defines a completed case (e.g. completion of so many sessions)? |
Assessment |
1 |
If specific processes in the clients or their interpersonal environment are hypothesized to change with treatment, are these to be assessed? |
2 |
If therapy is having the intended effect on these processes, how would performance be evident on the measure? How would groups differ on this measure? |
3 |
Are there additional processes in therapy that are essential or facilitative to this treatment, and are these being assessed? |
4 |
Does the outcome assessment battery include a diverse range of measures to reflect different perspectives, methods, and domains of functioning? |
5 |
What data can be brought to bear regarding pertinent types of reliability and validity for these measures? |
6 |
Are treatment effects evident in measures of daily functioning (e.g. work, social activities)? |
7 |
Are outcomes being assessed at different times after treatment? |
Data evaluation |
1 |
What are the primary measures and data upon which the predictions depend? |
2 |
What statistical analyses are to be used and how specifically do these address the original hypotheses and purposes? |
3 |
Are the assumptions of the data analyses met? |
4 |
What is the likely effect size that will be found based on other treatment studies or meta-analyses? |
5 |
Given the likely effect size, how large a sample is needed to provide a strong powerful test of treatment (e.g. power ≥ 0.80)? |
6 |
Are there subdivisions of the sample that will be made to reduce the power of tests of interest to the investigator? |
7 |
What is the likely rate of attrition over the course of treatment, and post-treatment and follow-up assessments? |
8 |
With the anticipated loss of cases, is the test likely to be sufficiently powerful to demonstrate differences between groups if all cases complete treatment? |
9 |
If multiple tests are used, what means are provided to control error rates? |
10 |
Prior to the experimental conditions, were groups similar on variables that might otherwise explain the results (e.g. diagnosis, age)? |
11 |
Are data missing due to incomplete measures (not filled out completely by the subject(s) or loss of subjects)? If so, how are these handled in the data analyses? |
12 |
Will the clinical significance of client improvement be evaluated and if so by what method(s)? |
13 |
Are there ancillary analyses that might further inform the primary analyses or exploratory analyses that might stimulate further work? |
Reproduced with permission from A. Kazdin. Methodology, design and evaluation in psychotherapy research. In Handbook of Psychotherapy and Behavior Change (eds. A.E. Bergin and S.L. Garfield), pp. 19-71. Copyright 1994, John Wiley & Sons, Inc. |