Generating Randomized Schedules for Direct Observations in Microsoft[R] Office Excel[R]

Richard L. Azulay, Derek D. Reed
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Abstract

The active treatment ingredient in any operant-based behavior change procedure is the provision of some form of consequence made contingent upon a target response (see Skinner, 1953; 1957). Whether in the form of an edible, a praise statement, or the simple provision of data regarding one's performance, the science of operant behavior dictates that this consequential feedback will impact future instances of behavior in some capacity--either increasing or decreasing the likelihood that this behavior is emitted again in the future. Moreover, this notion is echoes that of Skinner's eloquently worded description in Science and Human Behavior (1953, pg. 59), that "The consequences of behavior may "feed back" into the organism. When they do so, they may change the probability that the behavior which produced them will occur again." Perhaps more importantly, the scheduling of such consequential feedback has proven to be paramount in the kinds of behavioral patterns subsequently observed (see Ferster & Skinner, 1957). Whether by design or act of nature, feedback schedules--similar to other consequential schedules, such as reinforcement or punishment--come as either interval- or ratio-based forms. Intervalbased schedules deliver feedback contingent upon the first occurrence of some target response after some pre-specified passage of time (e.g., a child reinforced for his/her first correct response after 5-min). However, ratio-based schedules dictate that the target response must occur a pre-specified number of times before it is provided feedback. (e.g., a child is reinforced after he/she emits five correct responses). As such, interval-based schedules typically produce lower response rates, relative to ratio-based schedules (see Ferster & Skinner, 1957). This is in part due to the fact that during ratio-based schedules, the responding organism is to some extent able to govern the rate of feedback through his/her own behavior since the feedback is directly contingent upon response rate. In addition, all feedback schedules, whether interval- or ratio-based, feature an additional requirement characteristic. Namely, as either being fixed (i.e., after a static number of required responses; e.g., a child is reinforced after every fifth correct response) or variable (i.e., after a dynamic number of required responses which averages to some specified value; e.g., on average, a child's behavior is reinforced for approximately every five correct responses) contingencies. Like interval- and ratio-schedules, fixed- and variable-schedules have specific behavioral patterns associated with their schedule type. Specifically, fixed-schedules tend to produce pauses in responding after the delivery of feedback, while variable-schedules tend to produce steady response rates despite instances of feedback delivery (see Ferster & Skinner, 1957). This phenomenon likely occurs because organisms may more accurately predict feedback delivery in fixed-schedules, but remain persistent in variable-schedules since the next feedback event cannot be predicted. Moreover, given these features, responding on fixed-schedules is often easier to extinguish than responding on variable-schedules (see Ferster & Skinner, 1957). While applied behavior analysts are typically well-versed in the programming of reinforcement schedules for their clients, they may not be aware of the kinds of feedback schedules imposed on their own behaviors concerning the active supervision and observations of other staff or clients on their caseload (cf. Reed, Fienup, Luiselli, & Pace, in press). Such schedule requirements may result from program/school policies and procedures, or be the result of competing priorities or responsibilities. Nevertheless, not taking a systematic approach to scheduling may be costly due to the phenomenon discussed above regarding schedule-induced behavioral patterns and the fact that the quality of supervision feedback to staff is crucial to maintaining adequate levels of staff performance in human service organizations (see Reid, 1998; Reid & Parsons, 2002). …
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基于Office Excel的随机调度调度[R]
在任何以操作性为基础的行为改变程序中,积极的治疗成分是提供某种形式的后果,这些后果取决于目标反应(见Skinner, 1953;1957)。无论是可食用的食物、赞美的声明,还是简单地提供有关个人表现的数据,操作性行为科学表明,这种相应的反馈将以某种方式影响未来的行为实例——要么增加,要么减少这种行为在未来再次发生的可能性。此外,这一概念与斯金纳在《科学与人类行为》(1953年,第59页)中雄辩的描述相呼应,即“行为的后果可能会“反馈”到有机体中。”当他们这样做时,他们可能会改变产生他们的行为再次发生的可能性。”也许更重要的是,这种后续反馈的安排已被证明在随后观察到的各种行为模式中是至关重要的(见Ferster & Skinner, 1957)。无论是通过设计还是自然行为,反馈时间表——类似于其他结果性时间表,如强化或惩罚——以间隔或比例形式出现。基于间隔的计划在经过一段预先规定的时间后,根据目标反应的首次出现提供反馈(例如,儿童在5分钟后第一次正确反应得到强化)。然而,基于比率的调度规定,在提供反馈之前,目标响应必须出现预先指定的次数。(例如,一个孩子说出五个正确的回答后,他/她就会得到加强)。因此,与基于比率的计划相比,基于间隔的计划通常产生较低的响应率(参见Ferster & Skinner, 1957)。这部分是由于在基于比率的时间表中,响应有机体在某种程度上能够通过他/她自己的行为来控制反馈的速率,因为反馈直接取决于响应速率。此外,所有反馈计划,无论是基于间隔的还是基于比率的,都具有额外的需求特征。也就是说,要么是固定的(即,在静态数量的所需响应之后;例如,每五次正确回答后,孩子就会得到加强)或变量(即,在要求的回答的动态数量达到某个特定值的平均值后;例如,平均而言,一个孩子的行为在大约每五个正确的反应中得到强化。与间隔计划和比例计划一样,固定计划和可变计划也有与其计划类型相关的特定行为模式。具体来说,固定时间表倾向于在反馈传递后产生响应暂停,而可变时间表倾向于在反馈传递的情况下产生稳定的响应率(参见Ferster & Skinner, 1957)。这种现象的发生可能是因为有机体在固定的时间表中可以更准确地预测反馈的传递,但在可变的时间表中保持持久性,因为下一个反馈事件无法预测。此外,考虑到这些特征,对固定时间表的响应通常比对可变时间表的响应更容易熄灭(参见Ferster & Skinner, 1957)。虽然应用行为分析师通常精通为他们的客户制定强化计划,但他们可能不知道,在积极监督和观察其他员工或客户处理案件时,他们自己的行为会受到各种反馈计划的影响(参见Reed, Fienup, Luiselli, & Pace, in press)。这样的时间表要求可能源于项目/学校的政策和程序,或者是竞争优先级或责任的结果。然而,不采取系统的排班办法可能代价高昂,因为上文讨论的关于排班引起的行为模式的现象,以及向工作人员提供监督反馈的质量对于维持人力服务组织工作人员的适当绩效水平至关重要(见Reid, 1998;Reid & Parsons, 2002)。…
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