Comparing instructor-led,video-model,and no-instruction control tutorials for creating single-subject graphs in Microsoft Excel: A systematic replication and extension

Visual inspection of single-subject data is the primary method for behavior analysts to interpret the effect of an independent variable on a dependent variable; however, there is no consensus on the most suitable method for teaching graph construction for single-subject designs. We systematically replicated and extended Tyner and Fienup (2015) using a repeated-measures between-subjects design to compare the effects of instructor-led, video-model, and no-instruction control tutorials on the graphing performance of 81 master's students with some reported Microsoft Excel experience. Our mixed-design analysis revealed a statistically significant main effect of pretest, tutorial, and posttest submissions for each tutorial group and a nonsignificant main effect of tutorial group. Tutorial group significantly interacted with submissions, suggesting that both instructor-led and video-model tutorials may be superior to providing graduate students with a written list of graphing conventions (i.e., control condition). Finally, training influenced performance on an untrained graph type (multielement) for all tutorial groups.     

CREATING SINGLE-SUBJECT DESIGN GRAPHS WITH MICROSOFT EXCEL™

Because single-subject design methodology is the cornerstone of behavior-analytic research, behavior analysts are often engaged in the practice of graph production. There are a variety of computer software packages on the market that can be used to create graphs; however, not all of them are suitable for producing single-subject design line graphs. Microsoft Excel 97 for Windows 95/NT and MacOS operating systems contains a variety of features that are conducive to producing reversal, multiple baseline, and multielement graphs (among others) that conform to many of the technical recommendations for publication in the Journal of Applied Behavior Analysis. We present detailed instructions on creating these graphs using Microsoft Excel.     

Statistical inference in behavior analysis: Experimental control is better

Statistical inference promises automatic, objective, reliable assessments of data, independent of the skills or biases of the investigator, whereas the single-subject methods favored by behavior analysts often are said to rely too much on the investigator's subjective impressions, particularly in the visual analysis of data. In fact, conventional statistical methods are difficult to apply correctly, even by experts, and the underlying logic of null-hypothesis testing has drawn criticism since its inception. By comparison, single-subject methods foster direct, continuous interaction between investigator and subject and development of strong forms of experimental control that obviate the need for statistical inference. Treatment effects are demonstrated in experimental designs that incorporate replication within and between subjects, and the visual analysis of data is adequate when integrated into such designs. Thus, single-subject methods are ideal for shaping-and maintaining-the kind of experimental practices that will ensure the continued success of behavior analysis.     

Dissociations among ABA, ABC, and AAB recovery effects

In a human predictive learning experiment, the strengths of ABA, ABC, and AAB recovery effects after discrimination reversal learning were compared. Initially, a discrimination between two stimuli (X+, Y−) was trained in Context A. During Phase 2, participants received discrimination reversal training (X−, Y+) either in Context A (Group AAB) or in Context B (Group ABA, Group ABC). Testing occurred in the reversal context and in a neutral context (Group AAB, Group ABC) or in the reversal context and in the acquisition context (Group ABA). Recovery effects were similar in ABA and ABC procedures, whereas no AAB recovery effect occurred. Furthermore, the rate of discrimination reversal learning during Phase 2 was unaffected by whether training was conducted in the same or in a different context as initial learning. Results indicate that contextual stimuli are processed before interfering information is presented. These representations, however, do not acquire the ability to control performance.     

THE FUNCTIONS OF SELF-INJURIOUS BEHAVIOR: AN EXPERIMENTAL-EPIDEMIOLOGICAL ANALYSIS

Data are summarized from 152 single-subject analyses of the reinforcing functions of self-injurious behavior (SIB). Individuals with developmental disabilities referred for assessment and/or treatment over an 11-year period were exposed to a series of conditions in which the effects of antecedent and consequent events on SIB were examined systematically by way of multielement, reversal, or combined designs. Data were collected during approximately 4,000 experimental sessions (1,000 hr), with the length of assessment for individuals ranging from 8 to 66 sessions (M = 26.2) conducted over 2 to 16.5 hr (M = 6.5). Differential or uniformly high responding was observed in 145 (95.4%) of the cases. Social-negative reinforcement (escape from task demands or other sources of aversive stimulation) accounted for 58 cases, which was the largest proportion of the sample (38.1%). Social-positive reinforcement (either attention or access to food or materials) accounted for 40 (26.3%) of the cases, automatic (sensory) reinforcement accounted for 39 (25.7%), and multiple controlling variables accounted for 8 (5.3%). Seven sets of data (4.6%) showed either cyclical or inconsistent patterns of responding that were uninterpretable. Overall results indicated that functional analysis methodologies are extremely effective in identifying the environmental determinants of SIB on an individual basis and, subsequently, in guiding the process of treatment selection. Furthermore, an accumulation of assessment data from such analyses across a large number of individuals provides perhaps the most rigorous approach to an epidemiological study of behavioral function.     

A probabilistic model of intensive designs

Without internal validity, experimental data are uninterpretable. With intensive designs, most methods presented to quantify a design's internal validity have been subject to criticism. A probabilistic model of intensive designs is presented that demonstrates the high degree of internal validity of these designs without relying on adaptations from traditional inferential statistics. Where the experimenter is able to conform to the restrictions of the model, the equations provide an estimation of internal validity for either reversal or multiple-baseline designs. More importantly, the model provides mathematical bases for some of the common recommendations and design considerations in intensive research (such as the desirability of within-subject replications and of four or more multiple baselines).     

APPLICATIONS OF A SEQUENTIAL ALTERNATING TREATMENTS DESIGN

We propose the use of a combined version of the alternating treatments and multiple baseline designs in situations in which a traditional baseline (no treatment) condition either does not provide an adequate contrast condition or is not feasible or practical due to clinical constraints. We refer to this design as a sequential alternating treatments design because two treatments are initially implemented in a random or counterbalanced fashion and are followed by a sequential change in one or both treatments across settings, subjects, or tasks. The effects of the independent variables are assessed first by analyzing the two series of data points representing the different treatments (relative effects) and then by assessing changes in one or both series, as application of the alternative treatment is introduced sequentially. The sequential application of treatment provides an analysis of control in the same manner as the multiple baseline design; the initial alternating treatments phase provides a contrast condition in much the same manner as a baseline condition. Applications of this design to the assessment of peer training and self-injurious behavior are described.     

The Application of Single-Case Research Designs to Study Elite Athletes’ Conditioning: An Update

Sport scientists have recommended to use of single-subject research designs to understand how well an intervention works and to predict performance for an elite athlete. In the present paper, the latest studies on elite athletes’ conditioning using single-subject research designs are reviewed. Although some case studies in elite athletes are reported in the literature, there are still very few studies using single-subject research designs. Rigorous and practical approaches using magnitude-based inferences such as effect size and likelihoods of substantial effects are suggested. Recommendations are also provided to facilitate further studies using single-subject research designs.     

DRO contingencies: an analysis of variable-momentary schedules.

We conducted several comparative analyses to determine the relative effectiveness of variable-momentary differential-reinforcement-of-other-behavior (VM DRO) schedules. Three individuals who had been diagnosed with mental retardation participated. Results of functional analyses indicated that their self-injurious behavior (SIB) was maintained by social-positive reinforcement. Two individuals participated in a two-stage comparative analysis within multielement and multiple baseline designs. Fixed-interval (FI) and variable-interval (VI) DRO were compared in the first stage; VI DRO and VM DRO were compared in the second. All three schedules effectively reduced the participants' SIB. Treatment for the 3rd individual was conducted in a reversal design to examine the effects of VM DRO when it was implemented in isolation, and results indicated that the procedure was effective in reducing SIB. These findings suggest that VM DRO schedules may represent attractive alternatives to traditional FI schedules because momentary schedules do not require continuous monitoring and may result in higher rates of reinforcement.     

Effects of Signaled Positive Reinforcement on Problem Behavior Maintained by Negative Reinforcement

We evaluated the effects of providing positive reinforcement for task completion, signaled via the presence of a tangible item, on escape-maintained problem behavior displayed by three typically developing children during one-time 90-min outpatient evaluations. Brief functional analyses of problem behavior, conducted within a multielement design, identified negative reinforcement. Treatment, conducted within a nonconcurrent multiple baseline with reversal design, consisted of a signal for positive reinforcement while continuing to permit escape for problem behavior, thus creating a competition between positive and negative reinforcement. For all participants, problem behavior decreased.     

The effects of a high-probability instruction sequence and response-independent reinforcer delivery on child compliance

We compared the effects of a high-probability (high-p) instruction sequence and a fixed-time (FT) schedule of reinforcement on the compliance of 2 typically developing children. A multielement experimental design with a reversal component was implemented according to a multiple baseline across participants arrangement. Both the high-p and FT conditions resulted in increased compliance for both participants during the multielement sessions. These results suggest that it may be possible to increase compliance without a response requirement of the type arranged in the high-p instruction sequence.     

ASSESSMENT OF THE RELATIVE EFFECTS OF ATTENTION AND ESCAPE ON NONCOMPLIANCE

The current study presents a method for assessing the relative effects of attention and escape on noncompliance in preschoolers. Attention and escape conditions were alternated in a multielement design, and a contingency reversal procedure, in which one test condition served as a control for the other, was used to demonstrate control. For all 3 participants, noncompliance was maintained, at least in part, by social attention. Functional analyses of noncompliance such as the one described here may be valuable for developing function‐based treatments.     

Statistical inference in behavior analysis: Environmental determinants?

Use of inferential statistics should be based on the experimental question, the nature of the design, and the nature of the data. A hallmark of single-subject designs is that such statistics should not be required to determine whether the data answer the experimental question. Yet inferential statistics are being included more often in papers that purport to present data relevant to the behavior of individual organisms. The reasons for this too often seem to be extrinsic to the experimental analysis of behavior. They include lapses in experimental design and social pressure from colleagues who are unfamiliar with single-subject research. Regardless of whether inferential statistics are used, behavior analysts need to be sophisticated about experimental design and inferential statistics. Such sophistication not only will enhance design and analysis of behavioral experiments, but also will make behavior analysts more persuasive in presenting rationales for the use or nonuse of inferential statistics to the larger scientific community.     

USE OF COMPONENT ANALYSES TO IDENTIFY ACTIVE VARIABLES IN TREATMENT PACKAGES FOR CHILDREN WITH FEEDING DISORDERS

We evaluated the separate components in treatment packages for food refusal of 4 young children. First, treatment packages were implemented until food acceptance improved. Next, a component analysis was conducted within a multielement or reversal design to identify the active components that facilitated food acceptance. The results indicated that escape extinction was always identified as an active variable when assessed; however, other variables, including positive reinforcement and noncontingent play, were also identified as active variables for 2 of the children. The results suggest that the component analysis was useful for identifying variables that affected food acceptance.     

Contextual control of appetitive conditioning: Influence of a contextual stimulus generated by a partial reinforcement procedure

Three experiments with rat subjects examined the effects of a context switch after conditioning treatments in which the conditioned stimulus (CS) was either paired with food on every presentation (continuous reinforcement) or on some of its presentations (partial reinforcement). In each experiment, a target CS was given one of these treatments in Context A, and another CS was given a treatment during sessions that were intermixed in Context B. Final tests of the target CS in Context A and Context B often revealed no loss of responding with the switch to B. However, a loss was observed when partial reinforcement had been associated with Context A and continuous reinforcement had been associated with Context B. Those conditions caused equal decrements in responding to partially reinforced and continuously reinforced targets. The results suggest that under the present conditions partial reinforcement can generate a contextual stimulus that becomes associated with the physical context and controls responding to the CS.     

EFFECTS OF REINFORCEMENT CHOICE ON TASK RESPONDING IN INDIVIDUALS WITH DEVELOPMENTAL DISABILITIES

The effects of reinforcement choice on task performance were examined with 6 individuals who had been diagnosed with severe to profound mental retardation. Five highly preferred items were identified for each participant via stimulus preference assessments. Participants then were exposed to choice and no-choice conditions that were alternated within reversal and multielement designs. During choice sessions, participants were permitted to select between two preferred stimuli contingent on responding. During no-choice sessions, the therapist delivered a single item contingent on responding. Preference for the stimuli was held constant across conditions by yoking the items delivered during no-choice sessions to those selected during the immediately preceding choice sessions. All participants exhibited similar rates of responding across choice and no-choice conditions. These findings indicate that for individuals with severe disabilities, access to choice may not improve task performance when highly preferred items are already incorporated into instructional programs.     

The effects of visual feedback on hemispheric alpha asymmetries and reported processing strategies: a single-subject experimental design

A double reversal single-subject experimental design was used to study the effects of visual feedback on the hemispheric alpha asymmetries of a male subject during a linguistic task. Results indicated that the subject demonstrated flexibility in hemispheric alpha and corresponding processing strategies employed when an alpha biofeedback procedure was used. These results provide further support for the notion that right and left hemispheric activation is associated with different, yet compatible, cognitive strategies and that both can be manipulated under conditions of feedback.     

The Random Stimulus Design

In the 1960s, a methodological advancement of significant proportion occured with the development of single case research designs in the field of appleid behavior analysis. Among the methods popularized were the multiple baseline, reversal, and, more recently, the alternating treatment designs. Despite the flexibility and wide applicability of each of these single subject designs, there are conditions under which none of them are appropriate. For example, when limited subjects are available and when repeated presentation of the same stimuli result in improvement due to practice effects of decremental effects due to boredom or habituation, problems arise. To offset this difficulty, the investigators describe a new single case design, the random stimulus design. This design is so named becuase an item pool of equal stimuli is established and then items are randomly selected and assigned to one of several cohorts. Cohorts are then assessed in the typical withdrawal or reversal manner.     

A Preliminary Evaluation of Functional Communication Training Effectiveness and Language Preference When Spanish and English are Manipulated

We evaluated whether differences in treatment effectiveness or preference between languages emerged across Spanish and English during functional communication training (FCT) for young children with developmental disabilities exposed to Spanish and English in the home environment. Participants were 2 young children with developmental disabilities who displayed destructive behavior maintained by social contingencies and whose families spoke Spanish and English at home. All procedures were conducted in the participants’ homes by their mothers with coaching from the investigator. The effectiveness of FCT was evaluated within a reversal design across baseline, FCT, and extinction conditions. A multielement design across language type (Spanish and English) was embedded within the reversal design during the extinction and FCT conditions to evaluate differences in treatment effectiveness across type of language. Finally, during all FCT sessions, a concurrent schedules design was used to evaluate participant preference for type of language. Results suggested that FCT was effective in reducing destructive behavior, increasing manding, and/or increasing task completion for these 2 participants across Spanish and English treatment conditions. Preference for the type of language did not emerge for either participant during FCT. Results are discussed in terms of the merits of systematically evaluating language variables when working with culturally and linguistically diverse families and children.