Research Terminology Flashcards
Construct Validity
The degree to which an instrument measures the characteristic being investigated.
Correlation
a mutual relation: a pattern of variation between two phenomena in which change in one is associated with change in the other
Dependent variable
the phenomenon or reaction to be tested or measured when a new stimulus, condition, or treatment is introduced.
Control Group
In an experiment, this is the group of research participants that does not receive the new treatment being studied. The control group is compared to the experimental/intervention group (the group that receives the new treatment), to see if the new treatment works.
Experimental/Intervention Group
In research, a collection of subjects who are matched
and compared with a control group in all relevant respects, except that they are also subject to a specific variable being tested.
Randomized Controlled Trial
An experimental design that measures the effect of an
intervention by randomly assigning participants to either an experimental/intervention group or a control group. These are difficult to do in social work practice because of the ethics of
withholding treatment from those who need it during the random assignment of participants to the control group. Random assignment refers to the use of chance procedures to ensure each participant has the same opportunity to be assigned to any given group.
Quasi-Experimental Design
The prefix ‘quasi’ means ‘resembling.’ So this is a design that resembles a randomized controlled trial, but does not involve the random assignment to a control group and experimental group instead, it allows the researcher to control the assignment to the treatment and control groups using some criteria other than random assignment). It is commonly used in field research where random assignment is difficult or not possible.
Single Subject Design
Research where the subject serves as their own control, rather than using another individual/group.
Retrospective Design
In a retrospective design, participants are asked to retrospect (literally, to ‘look back’) and try to remember what they were like at an earlier time point.
● For example, researchers could ask older teenagers how they were disciplined as kids.
Cross-sectional Design
In a cross-sectional design, researchers collect data at a single point in time from participants of different ages.
● For example, researchers might hypothesize that people become more traditional in their attitudes and more resistant to social change as they get older. To study this, they might get participants in their 20s, 40s, and 60s to complete a measure of traditionalism and
then test whether there is a positive correlation between age and traditionalism.
Longitudinal Design
In a longitudinal design, the same people are measured at different ages.
● For example, researchers could follow the development of babies who experienced
developmental delays.
Cross-sequential Design
A cross-sequential design is a combination of cross-sectional and longitudinal designs. At the first point, groups of people from several different ages are
measured. If the design were to stop there, it would be a simple cross-sectional design, but
these groups are then followed over time, incorporating the longitudinal aspect.
Correlation
A mutual relationship between two variables that are related; a change in one
variable is associated with a change in the other variable.
● For example: there is a positive correlation between height and weight. Taller people
tend to be heavier and vice versa.
● Correlation (a pattern between two variables) does not always mean causation (that one variable causes the other).
○ For example: Someone may find that children who get tutoring receive worse
grades than children who do not receive tutoring. There is a correlation between
tutoring and lower grades, but tutoring does not cause the lower grade (it is likely
that tutoring is sought out because of the child’s low grade)
Independent Variable
When performing an experiment, we look at the effect the independent variable has on the dependent variable. The independent variable is the variable changed (or controlled/manipulated) in a scientific experiment.
Dependent Variable
The dependent variable is the variable tested and measured in a scientific experiment. An easy way to remember this is that the dependent variable is dependent on the independent variable. As the experimenter changes the independent variable, the effect
on the dependent variable is observed and recorded