Research Flashcards
Studies that measure the effect of an intervention by randomly assigning group or individuals to either an intervention group or a control group
Randomized Controlled Trial
This study can be difficult to do in SW practice because it can be considered unethical to withhold treatment to people who need it in order to make a “control group”
Randomized Controlled Trial
This type of research is typically identified as being void of randomization of either subjects or treatment and/or the lack of comparison groups
Quasi-Experimental Design
The body of this research design attempts to answer questions such as: “does this treatment or intervention have an impact?” and “what is the relationship between program practices and outcomes?”
Quasi-Experimental Design
Research where the subject serves as his/her own control, rather than using another individual/group
Single Subject Design
(Example) A medical social worker wants to see if texts improve medical compliance to treatment in diabetic patients. They start with a baseline measure of compliance, text clients daily for a month while measuring compliance, then stop texting and measure compliance again
Single Subject Design
In this design, participants are asked to retrospect (literally, to look back) and try to remember what they were like at an earlier time point
Retrospective Design
(Example) Researchers could ask teenagers about how they were disciplined as young children
Retrospective Design
In this design, researchers collect data at a single point in time from participants of different ages
Cross-sectional Design
(Example) Participants in their 20s, 40s, and 60s complete a measure of traditionalism and then whether there is a positive correlation between age and traditionalism
Cross-sectional Design
In this design, the same people are measured at different ages
Longitudinal Design
(Example) Researchers could follow the development of babies with development delays
Longitudinal Design
A combination of cross-sectional and longitudinal designs. Groups of people from several different ages are measured and then followed over time
Cross-sequential Design
The overall consistency of a measure
Reliability
Ex: If two different social workers administer the same interview to a client, do they get similar results
Reliability
The degree to which the tool measures what it claims to measure
Validity
The confidence that can be placed in the cause-and-effect relationship in a study
Internal validity
The extent to which an effect in research can be generalized to other populations, settings, and treatment variables
External validity