AUTOMATED MEASUREMENT IN APPLIED BEHAVIOR ANALYSIS: A REVIEW

Measurement is a critical aspect of the scientific process. If measurement systems are not accurate and precise, the findings of experiments will most likely be spurious. In applied behavior analysis, the most prevalent form of measurement is human observation with automated measurement being used sporadically. Automated measurement is generally more accurate as it minimizes recording error. This paper reviews some of the common measurement systems currently in use and examines some new technologies that may expand the use of automated recording in the future. Copyright © 2013 John Wiley & Sons, Ltd.     

Limiting relations for atomic transport in lattice-gas models of solids

Abstract

The computer simulation of lattice-gas models of solids by Monte Carlo methods is significant for the theory of atomic migration and transport in alloys, solid solutions of hydrogen in metals, fast-ion conductors, etc. This paper presents certain exact limiting relations which provide useful checks on such simulations on complex models. These relations specify the way macroscopic transport coefficients and associated quantities (‘correlation factors’) depend upon isotopic ratios and vacancy fraction.     

Up with this I shall not put: 10 reasons why I disagree with Branch and Vollmer on behavior used as a count noun

Branch and Vollmer (2004) argue that use of the word behavior as a count noun is ungrammatical and, worse, mischaracterizes and ultimately degrades the concept of the operant. In this paper I argue that use of behavior as a count noun is a reflection of its grammatical status as a hybrid of count and mass noun. I show that such usage is widespread across colloquial, referential, and scientific documents including the writings of major figures in behavior analysis (most notably B. F. Skinner), books describing its applications, and its major journals. Finally, I argue against the assertion that such usage degrades the concept of the operant, at least in any meaningful way, and argue instead that employing eccentric definitions for ordinary words and using arcane terms to describe everyday human behavior risks diminishing the influence of behavior analysis on human affairs.     

Count data in psychological applied research

As some authors have noticed in fields other than psychology, level of measurement and distributional characteristics of count data are commonly not taken into account, so that they are analysed as normally distributed continuous variables, and therefore some general linear model is applied. In this work, we review a random sample of 457 articles published in the last four years in journals with the highest impact factor in the Journal Citation Reports (JCR Social Sciences Edition) of the Institute for Scientific Information. The goals are to know how often count variables appear in psychological applied research and which data analyses are used when dealing with count response variables. Examination showed that there is a notable presence of count variables, especially in some topics in psychology and a remarkable misapplication of the general linear model. One deals with causes and consequences of this approach to data analysis and suggests the use of specific models to analyse count data.     

Stimuli inevitably generated by behavior that avoids electric shock are inherently reinforcing.

A molecular analysis based on the termination of stimuli that are positively correlated with shock and the production of stimuli that are negatively correlated with shock provides a parsimonious count for both traditional discrete-trial avoidance behavior and the data derived from more recent free-operant procedures. The necessary stimuli are provided by the intrinsic feedback generated by the subject's behavior, in addition to those presented by the experimenter. Moreover, all data compatible with the molar principle of shock-frequency reduction as reinforcement are also compatible with a delay-of-shock gradient, but some data compatible with the delay gradient are not compatible with frequency reduction. The delay gradient corresponds to functions relating magnitude of behavioral effect to the time between conditional and unconditional stimuli, the time between conditioned and primary reinforcers, and the time between responses and positive reinforcers.     

How the great apes (Pan troglodytes, Pongo pygmaeus, Pan paniscus, Gorilla gorilla) perform on the reversed reward contingency task II: transfer to new quantities, long-term retention, and the impact of quantity ratios

We tested 6 chimpanzees (Pan troglodytes), 3 orangutans (Pongo pygmaeus), 4 bonobos (Pan paniscus), and 2 gorillas (Gorilla gorilla) in the reversed reward contingency task. Individuals were presented with pairs of quantities ranging between 0 and 6 food items. Prior to testing, some experienced apes had solved this task using 2 quantities while others were totally na?ve. Experienced apes transferred their ability to multiple-novel pairs after 6 to 19 months had elapsed since their initial testing. Two out of 6 na?ve apes (1 chimpanzee, 1 bonobo) solved the task--a proportion comparable to that of a previous study using 2 pairs of quantities. Their acquisition speed was also comparable to the successful subjects from that study. The ratio between quantities explained a large portion of the variance but affected na?ve and experienced individuals differently. For smaller ratios, na?ve individuals were well below 50% correct and experienced ones were well above 50%, yet both groups tended to converge toward 50% for larger ratios. Thus, some apes require no procedural modifications to overcome their strong bias for selecting the larger of 2 quantities.     

态度与行为关系研究现状及发展趋势

关于态度与行为关系研究存在以下几种模式：态度和行为直接相关;态度和行为通过其他的中介,调节变量共同作用于行为;态度的不同构成对行为起不同的作用。该文结合以上的研究框架介绍了近些年来有影响力的模型如计划行为理论、态度强度模型等,并提出未来的态度和行为的关系应该充分考虑内隐态度测量以及采用时间序列追踪研究的新的角度     

The nanoeconomics of concurrent choice behavior

We introduce to behavior analysis a way of analyzing choice behavior that exploits recent developments in nanoeconomics, financial economics, and econometrics. A response return, modeled on an economic return, is the log differenced count of responses allocated to each of two alternatives during a short time window, compared with that in the immediately preceding window. The response return is a new dependent variable which offers a novel and useful way of looking at operant behavior, especially at the molecular level of analysis. The response–return series is a near‐instantaneous measure of an organism's dynamic preferences for each of two alternatives. Analyzing such a series requires time‐analytic techniques, including Auto‐Regressive Conditional Heteroskedastic (ARCH) models. We illustrate these techniques by analyzing choices between combinations of arithmetic and exponential variable‐interval schedules with pigeon subjects. All response–return series were well‐fitted by one of three ARCH‐family models. The fitted models were differentially sensitive to transition versus steady‐state data samples. The particular insights that the ARCH analyses offer are improved understanding of the effects of the instantaneous effects of reinforcers and their absence, of how the distribution of reinforcers in time affects choice, and of the differences between choice in transition and at steady state.     

A behavior-analytic view of psychological health

This paper argues that a behavioral analysis of psychological health is useful and appropriate. Such an analysis will allow us to better evaluate intervention outcomes without resorting only to the assessment of pathological behavior, thus providing an alternative to the Diagnostic and Statistical Manual system of conceptualizing behavior. The goals of such an analysis are to distinguish between people and outcomes using each term of the three-term contingency as a dimension to consider. A brief review of other efforts to define psychological health is provided. Laboratory approaches to a behavioral analysis of healthy behavior are presented along with shortcomings in our science that impede our analysis. Finally, we present some of the functional characteristics of psychological health that we value.     

Countercontrols for the american educational research association

Publications of the American Educational Research Association (AERA) maintain that years of research in education have failed to produce a useful technology for teachers. Little is said to be known about teaching children beyond the potential of new findings such as mastery learning, time on task, and features of an appropriate school climate. These latter conclusions are in stark contrast to the large body of useful findings in the behavior analysis literature. Several possible reasons are discussed for the discrepancy in views between behavior analysts and educational researchers. The lack of acknowledgement of behavior analysis is viewed as a serious problem because of the control that the educational research establishment exerts over federal funding of research and the training of teachers. There is a growing use of some of the aspects of behavior analysis by educational researchers; however, the derivation is not acknowledged and there is little enlightenment about radical behaviorism. It is suggested that ABA should countercontrol the influence of AERA by incorporating doctoral students in educational research as students of behavior analysis, teaching the complexity of behaviorism, teaching the positions of the opposing camp to behavior analysis students. ABA can take an aggressive role in countercontrolling AERA by forming committees to insure (a) quality of treatment, (b) funding representation in government, (c) protection and qualified review of untenured behavior analysts, (d) expansion of certification.     

AMAB: Automated measurement and analysis of body motion

Technologies that measure human nonverbal behavior have existed for some time, and their use in the analysis of social behavior has become more popular following the development of sensor technologies that record full-body movement. However, a standardized methodology to efficiently represent and analyze full-body motion is absent. In this article, we present automated measurement and analysis of body motion (AMAB), a methodology for examining individual and interpersonal nonverbal behavior from the output of full-body motion tracking systems. We address the recording, screening, and normalization of the data, providing methods for standardizing the data across recording condition and across subject body sizes. We then propose a series of dependent measures to operationalize common research questions in psychological research. We present practical examples from several application areas to demonstrate the efficacy of our proposed method for full-body measurements and comparisons across time, space, body parts, and subjects.     

DISCIPLINED DECISION MAKING IN AN INTERDISCIPLINARY ENVIRONMENT: SOME IMPLICATIONS FOR CLINICAL APPLICATIONS OF STATISTICAL PROCESS CONTROL

This paper explores some of the implications the statistical process control (SPC) methodology described by Pfadt and Wheeler (1995) may have for analyzing more complex performances and contingencies in human services or health care environments at an organizational level. Service delivery usually occurs in an organizational system that is characterized by functional structures, high levels of professionalism, subunit optimization, and organizational suboptimization. By providing a standard set of criteria and decision rules, SPC may provide a common interface for data-based decision making, may bring decision making under the control of the contingencies that are established by these rules rather than the immediate contingencies of data fluctuation, and may attenuate escalation of failing treatments. SPC is culturally consistent with behavior analysis, sharing an emphasis on data-based decisions, measurement over time, and graphic analysis of data, as well as a systemic view of organizations.     

A generalized majorization method for least souares multidimensional scaling of pseudodistances that may be negative

The usual convergence proof of the SMACOF algorithm model for least squares multidimensional scaling critically depends on the assumption of nonnegativity of the quantities to be fitted, called the pseudodistances. When this assumption is violated, erratic convergence behavior is known to occur. Three types of circumstances in which some of the pseudodistances may become negative are outlined: nonmetric multidimensional scaling with normalization on the variance, metric multidimensional scaling including an additive constant, and multidimensional scaling under the city-block distance model. A generalization of the SMACOF method is proposed to resolve the difficulty that is based on the same rationale frequently involved in robust fitting with least absolute residuals.I am grateful to Patrick Groenen and Rian van Blokland-Vogelesang for their help with some of the computations, and to the anonymous referees for their very useful comments.     

Toward an empirically based parameter selection for time-sampling observation systems

The measurement error of time-sampling observation systems, used to estimate the frequencyof behavioral events, was analyzed by means of a five-factor design, computer simulation experiment. The first three factors represented response parameters: the relative frequency and duration of the behavior and the pattern of response distribution. For each combination of frequency, pattern, and duration, five simulated behavior events were generated within a simulated observation period of 900 sec. A total of 21 different time-sampling systems was employed. As a fourth factor three different observe and record lengths were included (6, 12, and 60 sec). In addition, there were seven different ratios of “observe” to “record” interval length (5∶1, 3∶1, 2∶1, 1∶1, 1∶2, 1∶3, and 1∶5) representing the fifth factor. Thus, 21 time-sampling systems scanned a total of 120 different behavior simulations from 24 types of behavior parameter combinations. The data were analyzed by means of a five-factor (2 × 3 × 4 × 3 × 7) analysis of variance with repeated measures on two factors. The study demonstrated that time sampling leads to high average measurement errors, which are determined by complex interrelationships among a variety of variables. Choosing a time-sampling system arbitrarily may lead to highly erroneous data. It was also shown, however, that time-sampling systems have the potential to yield very accurate results. An empirical selection procedure for time-sampling intervals is proposed to minimize measurement error. Exemplary tables are presented from which time-sampling parameters can be chosen given that the rate, duration, and pattern of occurrence of a behavior to be observed are known.     

On the origins of dynamical awareness

An inquiry into the origins of dynamical awareness is conducted. Particular attention is given to a theory that postulates that impressions of dynamical quantities are derived from and structured by lawful physical relations. It is shown that impressions of dynamical quantities are not generally correlated with the values that these quantities take in the equations of motion but rather are highly correlated with simple ratios of kinematic quantities or with specific kinematic features that do not specify the underlying dynamics. It is argued that kinematic information, to the extent that it is used, is used heuristically, and its availability for dynamical analysis is constrained by general principles of organization. A formal analysis of the physical organization implicit in the specification of dynamical invariants is given and compared with types of perceptual organization that are observed.     

The use of momentary time sampling to assess both frequency and duration of behavior

When the time-sampling interval size can be set so it is smaller than both the shortest behavior instance and the shortest interresponse time, momentary time sampling will yield an accurate count of the frequency of behavior occurrence. It will also yield an unbiased estimate of behavior duration.     

Response latency as a measure of behavior in the assessment of elopement

Elopement is a common form of problem behavior but is relatively underrepresented in the functional analysis literature. One barrier to assessing elopement experimentally is the need to retrieve the subject following an instance of elopement. This retrieval confounds programmed session contingencies when the goal is to obtain repeated measurement of free‐operant behavior. The current study evaluated latency to elopement as an alternative to free‐operant measurement. We first compared response latency to allocation in 5‐min sessions and then measured latency alone in a trial‐based format. The identified reinforcers matched across both data analysis modalities in the session‐based assessments, and the trial‐based functional analysis showed a significant time savings in identifying the function of behavior over a session‐based assessment. Results indicated that elopement serves idiosyncratic social functions in young children with intellectual and developmental disabilities, and that a latency‐based assessment saves time while yielding equally clear results.     

Factorial Structure and Measurement Invariance of the Innovative Behavior Questionnaire

The article presents an analysis of the factorial structure and measurement invariance of the Innovative Behavior Questionnaire, developed by Scott and Bruce. Although the instrument is widely used to capture individuals' innovative behavior, very little evidence concerning its psychometric properties is available. A time‐lagged study among 382 employees was conducted to check the factorial structure of the questionnaire, using confirmatory factor analysis, as well as its measurement invariance across gender and time. One‐factor structure (with correlated error terms of first three items) and strict invariance across time and across gender of the Innovative Behavior Questionnaire were demonstrated. As such, the measure can be used as a reliable tool for capturing individuals' innovative behavior by self‐report.     

Principal components analysis of sampled functions

This paper describes a technique for principal components analysis of data consisting ofn functions each observed atp argument values. This problem arises particularly in the analysis of longitudinal data in which some behavior of a number of subjects is measured at a number of points in time. In such cases information about the behavior of one or more derivatives of the function being sampled can often be very useful, as for example in the analysis of growth or learning curves. It is shown that the use of derivative information is equivalent to a change of metric for the row space in classical principal components analysis. The reproducing kernel for the Hilbert space of functions plays a central role, and defines the best interpolating functions, which are generalized spline functions. An example is offered of how sensitivity to derivative information can reveal interesting aspects of the data.This research was supported by Grant PA 0320 to the second author by the Natural Sciences and Research Council of Canada. We are grateful to the reviewers of an earlier version and to J. B. Kruskal and S. Winsberg for many helpful comments concerning exposition.