Assessment & Research

Effects of lines of progress and semilogarithmic charts on ratings of charted data.

Bailey (1984) · Journal of applied behavior analysis 1984
★ The Verdict

A simple progress line on a graph makes raters agree more and see bigger effects.

✓ Read this if BCBAs who train staff to read session graphs in clinics or schools.
✗ Skip if Practitioners who already use Excel templates with auto-phase lines.

01Research in Context

01

What this study did

The researchers asked people to look at behavior graphs. Some graphs had slanted progress lines drawn on them. Some used semilog paper. Some had both. The viewers then rated whether the data showed a real change.

The team measured how much the viewers agreed with each other. They also noted whether the viewers thought the change was big enough to matter.

02

What they found

When progress lines were added, viewers agreed more often. They also rated the same jump in data as more important.

Semilog charts gave an extra boost. The mix of both tools helped the most.

03

How this fits with other research

Deochand et al. (2015), Fuller et al. (2019), and Deochand (2017) each built on this idea. They turned the old hand-drawn lines into easy Excel steps. Now you can add locked, auto-updating phase lines in seconds.

Sunde et al. (2022) took the same goal—better agreement—and made a checklist for FA graphs. Their checklist hit 98% agreement, showing the idea still works when you move from progress lines to structured rules.

Friedling et al. (1979) had earlier tried a different graphic aid: a gray band that shows observer disagreement. Both studies chase the same end—helping viewers trust what they see—but use different visual tricks.

04

Why it matters

You want your team to see the same story in the data. Draw a progress line or use the free Excel tools from the follow-up papers. One quick line cuts arguments and makes change look real. Try it on tomorrow’s graph and watch staff nod faster.

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Open your last client graph, add a diagonal progress line from baseline to goal, and ask a colleague if the change looks clearer.

02At a glance

Intervention
not applicable
Design
other
Sample size
13
Population
not specified
Finding
positive

03Original abstract

The extent to which interrater agreement and ratings of significance on both changes in level and trend are affected by lines of progress and semilogarithmic charts was investigated. Thirteen graduate students rated four sets of charts, each set containing 19 phase changes. Set I data were plotted on equal interval charts. In Set II a line of progress was drawn through each phase on each chart. In Set III data points were replotted on semilogarithmic charts. In Set IV a line of progress was drawn through each phase of each Set III chart. A significant main effect on interrater agreement was found for lines of progress as well as a significant 2-way interaction between lines of progress and change type. Three main effects (chart type, lines of progress, and type of change) and a significant 3-way interaction were found for ratings of significance. Implications of these data for visual analysis of charted data are discussed.

Journal of applied behavior analysis, 1984 · doi:10.1901/jaba.1984.17-359