Abstract
Many observational systems in basic and applied research produce a record of sequences of events over time. Within such observational systems, important information may be found in the frequency of the transitions between events that does not emerge in the typical researcher's focus on absolute event frequency. Indeed, if many behaviors are controlled by closely adjacent preceding events, then substantial prediction and control can be obtained through knowledge and manipulation of causal event transitions. A method for analyzing and testing sequential dependencies between events is proposed as part of an integrated package of computer-based data entry, storage, and analysis procedures. The mathematical portion of these techniques is based on the statistic, kappa,which is applicable to determining whether particular transitions among events differ from chance and whether particular transitions differ significantly across groups of subjects. Low-cost hardware and software to implement the proposed procedures are described.
Similar content being viewed by others
References
Allison, P. D., & Liker, J. L. (1982). Analyzing sequential categorical data on dyadic interaction: Comment on Gottman.Psychological Bulletin, 91, 393–403.
Castellan, N. J. (1979). The analysis of behavior sequences. In R. B. Cairns (Ed.),The analysis of social interaction. Hillsdale, NJ: Lawrence Erlbaum.
Cicchetti, D. V. (1980). Reliability of reviews for theAmerican Psychologist: A biostatistical assessment of the data.American Psychologist, 35, 300–303.
Cook, T. D., & Campbell, D. T. (1979).Quasi-experimentation: Design and analysis issues for field settings. Chicago: Rand McNally.
Falco, F. L. (1985). Parent child verbal interactions in families of expressive language delayed children,SRCD Abstracts, 1985 (Vol. 5, p. 100). Chicago: University of Chicago Press.
Gottman, J. M. (1981).Time-series analysis: A comprehensive introduction for social scientists. Cambridge, England: Cambridge University Press.
Gottman, J. M., & Ringland, J. T. (1981). The analysis of dominance and bidirectionality in social development.Child Development, 52, 393–412.
Hubert, L. (1977). Kappa revisited.Psychological Bulletin, 84, 289–297.
Jones, R. R., Weinrott, M. R., & Vaught, R. S. (1978). Effects of serial dependency on the agreement between visual and statistical inference.Journal of Applied Behavior Analysis, 11, 277–283.
Kazdin, A. E. (1980).Research design in clinical psychology. New York: Harper & Row.
Kratochwill, T. R. (1978).Single subject research: Strategies for evaluating change. New York: Academic Press.
Martin, J. A., Maccoby, E. E., Baran, K. W., & Jacklin, C. N. (1981). Sequential analysis of mother-child interaction at 18 months: A comparison of microanalytic methods.Developmental Psychology, 17, 146–157.
McCain, L. J., & McCleary, R. (1979). The statistical analysis of the simple interrupted time-series quasi-experiment. In T. D. Cook & D. T. Campbell (Eds.),Quasi-experimentation: Design and analysis issues for field settings. Chicago: Rand McNally.
Patterson, G. R. (1982).A social learning approach. Vol. 3: Coercive family process. Eugene, OR: Castalia.
Pepper, S. C. (1942).World hypotheses. Berkeley: University of California Press.
Sackett, G. P. (1979). The lag sequential analysis of contingency and cyclicity in behavioral interaction research. In J. D. Osofsky (Ed.),Handbook of infant development. New York: Wiley.
Simonton, D. K. (1984). Creative productivity and age: A mathematical model based on a two-step cognitive process.Developmental Review, 4, 77–111.
Wampold, B. E. (1984). Tests of dominance in sequential categorical data.Psychological Bulletin, 96, 424–429.
Wampold, B. E., & Margolin, G. A. (1982). Nonparametric strategies to test the independence of behavioral states in sequential data.Psychological Bulletin, 92, 755–765.
Whitehurst, G. J. (1984). Interrater agreement for journal manuscript reviews.American Psychologist, 39, 22–28.
Whitehurst, G. J. (1985). A home-based intervention for two-year-olds with expressive language delay.SRCD Abstracts, 1985 (Vol. 5, p. 608). Chicago: University of Chicago Press.
Author information
Authors and Affiliations
Additional information
This work has been supported by Grant 1 RO1 HD19245-01A1 from the National Institute of Child Health and Human Development to the two senior authors and by grants of equipment from Commodore Computers, Inc., Koala Corporation, and NEC Telephones, Inc.
Rights and permissions
About this article
Cite this article
Whitehurst, G.J., Fischel, J.E., DeBaryshe, B. et al. Analyzing sequential relations in observational data: A practical guide. J Psychopathol Behav Assess 8, 129–148 (1986). https://doi.org/10.1007/BF00963577
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF00963577