What’s the difference between parametric, component, and comparative analyses? And what do experimental designs have to do with it? PTB founder Dana Meller clears up the confusion with a deep dive into analysis variations.
Dana Do’s: The Distinction Between Analysis Types and Experimental Designs Read More
A variation of the multiple baseline design in which all of the baselines do not begin at the same time, instead additional participant baselines are added to the study as
In an experimental design, this is the target behavior of interest.
D-1 Distinguish between dependent and independent variables.
D.1 Distinguish between dependent and independent variables.
A researcher exactly duplicates the procedures from a previous study, using the same or different subjects with the same demographics.
A variation of the reversal design in which DRO, DRA, or DRI are used as the control condition and contrasted against each other. Responding is reversed to a level obtained
A method for conducting a component analysis that includes presenting the entire treatment package and then systematically removing individual components to identify which components are necessary for meeting treatment goals.
When an experiment can reliably demonstrate a causal relationship between an independent variable and a dependent variable by controlling for extraneous variables and ensuring that the independent variable is responsible
The specific arrangement of conditions in a study that are created to compare the relevant relations of the effects of the independent variable’s presence, absence, or different values of the
The extent to which the results of a study can be generalized to other settings, behaviors, or subjects.
Any aspect of the environment that must be held constant to prevent unplanned environmental variations during experimentation, usually something the experimenter is aware of and for which they do their
Extraneous variables Read More
D-2 Distinguish between internal and external validity.
D.3 Identify threats to internal validity (e.g., history, maturation).
When changes in the dependent variable are predictably related to the independent variable, demonstrating a clear cause-and-effect relationship between the dependent and independent variable.
An experimental design that randomly assigns subjects to experimental and control groups. They pretest, apply the independent variable to the experimental group, and posttest the results-comparing the data from both