Table 2.
Terms Describing Gradual Changes in Response Requirement
Subcategory | Example | Description |
---|---|---|
Increase in number of identical responses | ||
Progressive ratio schedule | Hodos (1961) | Increasing the ratio requirement after each reinforcer delivery. |
Leaning | Weiner (1982) | Gradually increasing the ratio requirement. |
Dense-to-lean schedule | Hagopian et al. (2004) | Using a dense schedule that is then progressively thinned to the terminal schedule. |
Demand fading | Fisher et al. (1993) | Increasing the number of instructional demands that must be complied with before a break is available. |
Stimulus fading | Zarcone et al. (1994) | Increasing the number of instructional demands that must be complied with before a break is provided. |
Instructional fading | Pace et al. (1993) | Gradually increasing the number of instructional demands by presenting more demands per session. |
Response chaining | Lalli et al. (1995) | Requiring gradually more steps of a task be completed before a break is available. |
Chained schedule | Zangrillo et al. (2016) | Gradually increasing the response requirement in the initial link. |
Schedule thinning | Hagopian et al. (2011) | Decreasing the rate of reinforcement for an alternative response. |
Increase in number of topographically distinct responses | ||
Chaining | Edwards et al. (2018) | Gradually increasing the number of toy play steps in a behavior chain required before reinforcement is provided. |
Shaping | Ferguson and Rosales-Ruiz (2001) | Gradually increasing the number of required trailer-loading steps before reinforcement is provided. |
Gradual change in topographical features or dimension(s) of the response | ||
Shaping | Eckerman et al. (1980) | Gradually changing the location of the required response to produce reinforcement. |
Percentile schedule | Galbicka (1994) | Gradually changing a response by requiring it to differ from a certain percentile of prior responses. |
Progressive lag schedule | Wiskow et al. (2018) | Gradually changing responding by requiring progressively more variability per response. |