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Case sampling for psychotherapy practice, theory, and policy guidance: Qualities and quantities
1a Independent Scholar.
Summary
Psychotherapy research often uses non-random sampling, limiting broad generalizations. However, this approach still allows for identifying associations between variables, which is valuable for theory testing and clinical practice.
Area of Science:
- Psychology
- Clinical Psychology
- Research Methodology
Background:
- Random sampling is often impractical in psychotherapy research.
- Opportunistic and purposive sampling are commonly used alternatives.
Purpose of the Study:
- To analyze the implications of non-random sampling in psychotherapy research.
- To determine the extent to which findings from such studies can be generalized.
- To assess the utility of current research methods for theory development and practice.
Main Methods:
- Focus on two-phase cross-sectional input-outcome studies, a common format in psychotherapy outcome research.
- Analysis of sampling strategies in relation to independent and dependent variables.
- Examining the generalizability of associations found through non-random sampling.
Main Results:
- Non-random sampling (opportunistic, purposive) precludes generalization of population-distribution statistics.
- However, it supports the reporting of associations between independent and dependent variables.
- These identified associations can be generalized to the sampled population with a certain frequency.
Conclusions:
- While broad statistical generalizations are limited, non-random sampling in psychotherapy research is sufficient for suggesting and testing theories.
- Findings can inform psychotherapy practice by highlighting specific variable associations.
- Two-phase cross-sectional studies remain a feasible and valuable approach for psychotherapy outcome research.
Keywords:
case populationhyperspace point populationopportunistic samplingpurposeful samplingrandom samplingMore Related Videos
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