Data Smoothing: Prediction of Human Behavior, Detection of Behavioral Patterns, and Monitoring Treatment Effectiveness in Single-Subject Behavioral Studies

Data-smoothing can be particularly useful in predicting human behavior, detecting behavioral patterns, and monitoring treatment effectiveness in highly variable single-subject behavioral experiments that cannot be determined by only visual inspection of their graphs. Using an example from the applied behavior analytic literature, the use of moving-average and exponential data-smoothing aided the detection of the unique behavioral patterns of a child with autism across different treatments. Furthermore, the utility of the data-smoothing procedures to monitor and control the effectiveness of an intervention is discussed. The ease of their calculations suggest use of data-smoothing by behavior analysts whenever the effects of particular interventions are questionable.     

The Role of Goal Orientations in Explaining Academic Cheating in Students With Learning Disabilities: An Application of the Cusp Catastrophe

The purpose of the present study was to predict and explain the academic cheating behaviors of elementary school students with learning disabilities (LD) by applying the cusp catastrophe model. Participants were 32 students with identified LD from state governmental agencies although all both them and the typical students participated in the experimental manipulation (N = 480). Academic cheating was assessed using an empirical paradigm where true achievement was subtracted from achievement in a test without proper invigilation. Data analysis supported the proposed cusp catastrophe models, where mastery-related motives acted as asymmetry and performance goals as bifurcation variables respectively. These findings were confirmed with application of the interactive goal hypothesis (Barron & Harackiewicz, 2001), where the interactive approach and avoidance performance goal term functioned as a splitting factor in the relationship between adaptive motivation and performance.     

Evaluating treatment effects in single-subject behavioral experiments using quality-control charts

Quality-control charts can be particularly useful in identifying treatment effects and patterns of behaviors in single-subject behavior-analytic experiments that cannot be determined by visual inspection of their graphs. Using an example from the behavior analysis literature the quality-control charts identified the presence of treatment effects across phases as well as the presence of trends within and between phases. The ease of their calculations suggest use of them by behavior analysts whenever the effects of particular interventions are questionable.     

Predicting Academic Dishonesty on National Examinations: The Roles of Gender,Previous Performance,Examination Center Change,City Change,and Region Change

The purpose of the present studies was to evaluate and predict academic cheating with regard to a national examination in a Middle East country. In Study 1, 4,024 students took part and potential cheaters were classified as those having discrepant scores in multiple administrations that exceeded 1 SD in absolute terms. A latent class mixture analysis suggested two pathways for potential cheating: (a) The first path involved students—most male—who changed city or region of examination during test taking, and (b) the second path described students—most male—who did not change city, region, or center of administration. Study 2 profiled cheaters using a sample of examinees who were actually caught cheating. Participants were 545 students, 253 of whom were caught cheating between 2002 and 2012. Both samples were selected from a pool of 319,219 testees using random sampling procedures. Results indicated that a 4-class solution best fitted the data as in Study 1. Furthermore, a predictive model was tested with an independent cross-validation sample of 112 examinees (56 cheaters, 56 noncheaters). Results indicated that the model classified correctly 78.57 of the new cheating cases (sensitivity) and 94.64% of noncheaters (specificity).     

Instrumental help-seeking as a function of normative performance goal orientations: A “catastrophe”

Research on achievement goal theory has suggested significant links between goal adoption and help-seeking behaviors. The present study investigates the effects of actual achievement and emotions on help-seeking behavior under conditions of normative and non-normative performance approach goals. Data were collected from 120 university students who were tested individually in a number of tasks with the aid of a specialized software. A cusp catastrophe model was tested, which significantly predicted help-seeking as a function of student’s affective experience during the normative goal condition only. The emotions of anger, sadness and surprise acted as bifurcation factors, while achievement on the task acted as the asymmetry variable. Findings were not replicated in the non-normative goal condition with the linear model fitting the data best in the absence of normative evaluations. It is concluded that the cusp catastrophe model provides a better understanding of help-seeking behavior during achievement pursuits when the possibility of failure is imminent.     

Longitudinal stability of pre‐reading skill profiles of kindergarten children: implications for early screening and theories of reading

Research suggests that early identification of developmental dyslexia is important for mitigating the negative effects of dyslexia, including reduced educational attainment and increased socioemotional difficulties. The strongest pre‐literacy predictors of dyslexia are rapid automatized naming (RAN), phonological awareness (PA), letter knowledge, and verbal short‐term memory. The relationship among these constructs has been debated, and several theories have emerged to explain the unique role of each in reading ability/disability. Furthermore, the stability of identification of risk based on these measures varies widely across studies, due in part to the different cut‐offs employed to designate risk. We applied a latent profile analysis technique with a diverse sample of 1215 kindergarten and pre‐kindergarten students from 20 schools, to investigate whether PA, RAN, letter knowledge, and verbal short‐term memory measures differentiated between homogenous profiles of performance on these measures. Six profiles of performance emerged from the data: average performers, below average performers, high performers, PA risk, RAN risk, and double‐deficit risk (both PA and RAN). A latent class regression model was employed to investigate the longitudinal stability of these groups in a representative subset of children (n = 95) nearly two years later, at the end of 1st grade. Profile membership in the spring semester of pre‐kindergarten or fall semester of kindergarten was significantly predictive of later reading performance, with the specific patterns of performance on the different constructs remaining stable across the years. There was a higher frequency of PA and RAN deficits in children from lower socioeconomic status (SES) backgrounds. There was no evidence for the IQ–achievement discrepancy criterion traditionally used to diagnose dyslexia. Our results support the feasibility of early identification of dyslexia risk and point to the heterogeneity of risk profiles. These findings carry important implications for improving outcomes for children with dyslexia, based on more targeted interventions.     

Is Human Behavior Autocorrelated? An Empirical Analysis

The current review and analysis investigated the presence of serial dependency (or autocorrelation) in single-subject applied behavior-analytic research. While well researched, few studies have controlled for the number of data points that appeared in the time-series and, thus, the negative bias of the r coefficient, and the power to detect true serial dependency effects. Therefore, all baseline graphs that appeared in the Journal of Applied Behavior Analysis (JABA) between 1968 and 1993 that provided more than 30 data points were examined for the presence of serial dependency (N = 103). Results indicated that 12% of the baseline graphs provided a significant lag-1 autocorrelation, and over 83% of them had coefficient values less than or equal to (±.25). The distribution of the lag-1 autocorrelation coefficients had a mean of .10. Subsequent distributions of partial autocorrelations at lags two through seven had smaller means indicating that as the distance between observations increases (i.e., the lag), serial dependency decreased. Although serial dependency did not appear to be a common property of the single-subject behavioral experiments, it is recommended that, whenever statistical analyses are contemplated, its presence should always be examined. Alternatives for coping with the presence of significant levels of serial dependency were discussed in terms of: (a) using alternative statistical procedures (e.g., ARIMA models, randomization tests, the Shewhart quality-control charts); (b) correcting statistics of traditional parametric procedures (e.g., t, F); or (c) using the autocorrelation coefficient as an indicator and estimate of reliable intervention effects.     

Classwide Peer Tutoring: Effects on the Spelling Performance and Social Interactions of Students with Mild Disabilities and Their Typical Peers in an Integrated Instructional Setting

The effectiveness of Classwide Peer Tutoring (CWPT) to enhance the spelling performance and social interactions of three typical students and three students with mild disabilities was investigated. The classroom ecology was measured using the New Code for Instructional Structure and Student Academic Response (NCISSAR). Social interactions were assessed using the Multiple Option Observation System for Experimental Studies (M.O.O.S.E.S.). Spelling performance was measured by weekly pre-posttests. Using an ABAB single-subject design, results indicated that CWPT resulted in: (a) gains in the spelling accuracy of all students (up to 49%), (b) increases of students' duration of positive social interactions (up to 86%), and (c) high satisfaction ratings for both the students and the teacher. Comparisons between typical students and students with mild disabilities during CWPT suggested no differences in their duration of social interactions. Furthermore, the mean spelling accuracy of the students with mild disabilities was comparable to the spelling accuracy of the typical students (91% vs. 96%, respectively). Implications of the findings for the inclusion of students with mild disabilities in general education settings are discussed.