The representativeness of observational samples of different durations.

The representativeness of behavioral observation samples with durations of less than the whole time of interest was investigated. A real-time recording system was developed to quantify the behavior of 5 profoundly mentally retarded physically handicapped adult students in an institutional training setting. Behavior was observed using six mutually exclusive and exhaustive categories during 2.5-hr observation sessions. Sample observation sessions with durations ranging from 15 to 135 min were computer simulated from the whole-session (150-min) records. It was found that the representativeness of these samples, when compared to whole-session records, was a function of the relative duration of the behavioral categories and of sample duration. The occurrence of relatively high-duration behaviors (lasting for more than 50% of the session) was estimated to within 20% error by samples of less than 60 min, but low-duration behaviors (1 to 3% of the session) were inadequately quantified even from 135-min samples. Increasing irregularity of bouts of behavior in the low-duration behaviors is suggested as the cause of the functions obtained. Implications of the findings for applied behavior analysis are discussed, with the recommendation that the adequacy of observational session durations be empirically assessed routinely.

[1]  Robert E. Slavin,et al.  Measuring Time-On-Task: Issues of Timing, Sampling and Definition. , 1980 .

[2]  Jacob Cohen A Coefficient of Agreement for Nominal Scales , 1960 .

[3]  W. Maclean,et al.  Alternate methods and software for calculating interobserver agreement for continuous observation data , 1985 .

[4]  A. Kazdin,et al.  Artifact, bias, and complexity of assessment: the ABCs of reliability. , 1977, Journal of applied behavior analysis.

[5]  A Harrop,et al.  Methods of time sampling: A reappraisal of momentary time sampling and partial interval recording. , 1986, Journal of applied behavior analysis.

[6]  F. R. Harris,et al.  Methodology for Experimental Studies of Young Children in Natural Settings , 1969 .

[7]  R. Liberman,et al.  The Behavior Observation Instrument: a method of direct observation for program evaluation. , 1978, Journal of applied behavior analysis.

[8]  R A Boykin,et al.  The effects of instructions and calculation procedures on observers' accuracy, agreement, and calculation correctness. , 1981, Journal of applied behavior analysis.

[9]  J. Altmann,et al.  Observational study of behavior: sampling methods. , 1974, Behaviour.

[10]  H. Pennypacker,et al.  Strategies and tactics of human behavioral research , 1980 .

[11]  K. G. Karsh,et al.  Conducting behavioral assessments on computer-collected data , 1989 .

[12]  M. B. Parsons,et al.  Providing a more appropriate education for severely handicapped persons: increasing and validating functional classroom tasks. , 1985, Journal of applied behavior analysis.

[13]  G. Rowley THE RELATIONSHIP OF RELIABILITY IN CLASSROOM RESEARCH TO THE AMOUNT OF OBSERVATION: AN EXTENSION OF THE SPEARMAN-BROWN FORMULA , 1978 .

[14]  P. Strain,et al.  Increasing handicapped preschoolers' peer social interactions: cross-setting and component analysis. , 1985, Journal of applied behavior analysis.

[15]  A. Repp,et al.  A comparison of frequency, interval, and time-sampling methods of data collection. , 1976, Journal of applied behavior analysis.

[16]  R W Sanson-Fisher,et al.  An empirical method for determining an appropriate interval length for recording behavior. , 1980, Journal of applied behavior analysis.

[17]  Johannes Rojahn,et al.  Toward an empirically based parameter selection for time-sampling observation systems , 1985 .

[18]  Samuel B. Green,et al.  A COMPARISON OF INDIRECT MEASURES FOR LONG‐DURATION BEHAVIORS1 , 1978 .