Single-System Designs

2019 ◽  
Keyword(s):  
Single System ◽  
System Designs

The Impact of Subjective Measures on Nonbehavioral Practice Research: Outcome vs. Process

1992 ◽  
Vol 73 (2) ◽  
pp. 100-108 ◽  
Author(s):  
Jeffrey S. Applegate
Keyword(s):  
Clinical Social Work ◽  
Practice Research ◽  
Single System ◽  
Subjective Measures ◽  
Intervention Process ◽  
Work Intervention ◽  
Research Outcome ◽  
The Impact ◽  
System Designs ◽  
Detailed Presentation

The author describes a study designed to assess the therapeutic reactive effects of filling out subjective self-ratings administered during a period of psychodynamic clinical social work intervention. A summary of quantitative findings related to outcome is followed by a more detailed presentation of anecdotal findings related to the impact of subjective measures on the intervention process. Results are considered in terms of their implications for social work's current interest in single-system designs and the challenges of applying these designs to nonbehavioral practice.

Integration of Information Technology and Single-System Designs

1994 ◽  
Vol 18 (1-2) ◽  
pp. 121-145 ◽  
Author(s):  
Elizabeth Mutschler ◽  
Srinika Jayaratne
Keyword(s):  
Information Technology ◽  
Single System ◽  
System Designs

Single-System Designs

2013 ◽  
Author(s):  
Joel Fischer ◽  
John G. Orme
Keyword(s):  
Clinical Significance ◽  
Repeated Measurement ◽  
Single System ◽  
Inferential Statistics ◽  
Design Data ◽  
User Friendly ◽  
System Designs

Single-system designs (SSDs) are a family of user-friendly empirical procedures that can be used to help professionals to monitor and evaluate the effectiveness of the services they provide to clients and to guide practice. SSDs can be used to evaluate interventions based on any theory or approach. Repeated measurement of the target(s) of intervention is an intrinsic and key element of SSDs. Dozens of SSDs exist, and each has its own strengths and limitations. The most basic and most widely used design is the A-B design. Data from SSDs are analyzed visually, using simple, descriptive or inferential statistics, or using criteria for practical or clinical significance.

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