A data pattern described as a relatively consistent change in a data set in a single direction is called what?

A data pattern described as a relatively consistent change in a data set in a single direction is called what?

• A. Steady-State Performance
• B. Stimulus Class
• C. Topography
• D. Trend (as in baseline)

Answer: (D)

A data pattern described as a relatively consistent change in a data set in a single direction is called a trend. This reflects the overall direction of the data points over time: an upward trend means scores steadily increase across observations, while a downward trend means they steadily decrease. It’s about the trajectory of the data, not a single point or constant level. Steady-state performance would be a flat, unchanging level, which isn’t about a directional change. Stimulus class and topography relate to the stimuli and the form of the behavior, not how the data move over time. So the description fits trend.

A data pattern described as a relatively consistent change in a data set in a single direction is called a trend. This reflects the overall direction of the data points over time: an upward trend means scores steadily increase across observations, while a downward trend means they steadily decrease. It’s about the trajectory of the data, not a single point or constant level. Steady-state performance would be a flat, unchanging level, which isn’t about a directional change. Stimulus class and topography relate to the stimuli and the form of the behavior, not how the data move over time. So the description fits trend.