Abstract
Few general-purpose computer programs are available that analyze sequential categorical data. If there were a sequential data interchange standard—a standard way of representing sequential data—then it would be more attractive to write general-purpose computer programs for such data Moreover, interlaboratory sharing would be facilitated. The present paper defines such a standard, called the sequential data interchange standard, or SDIS. Both the SDIS data language and a parsing program for data that follow SDIS conventions are described. The parsing program will be made available to researchers who wish to develop analysis programs for sequential data
Article PDF
Avoid common mistakes on your manuscript.
References
Altmann, J. (1974). Observational study of behaviour: Sampling methods.Behaviour,49, 227–267.
Arundale, R. B. (1984). SAMPLE and TEST: Two FORTRAN IV programs for analysis of discrete-state, time-varying data using first-order Markov-chain techniques.Behavior Research Methods, Instruments, & Computers,16, 335–336.
Bakeman, R. (1983). Computing lag sequential statistics: The BLAG program.Behavior Research Methods & Instruments,15, 530–535.
Bakeman, R., &Gottman, J. M. (1986).Observing interaction: An introduction to sequential analysis. New York: Cambridge University Press.
Bakeman, R., &Quera, V. (1992).Analyzing interaction: A general program for sequential analysis. Manuscript in preparation.
Deni, R. (1977). BASIC-PLUS programs for Sackett’s lag sequential analysis.Behavior Research Methods & Instruments,9, 383–384.
Dodd, P. W. D., Bakeman, R., Loeber, R., &Wilson, S. C. (1981). JOINT and SEQU: FORTRAN routines for the analysis of observational data.Behavior Research Methods & Instruments,13, 686–687.
Gardner, W. (1990). CONTIME: Continuous-time analysis of parallel streams of behavior.Multivariate Behavioral Research,25, 205–206.
Kienapple, K. (1987). Micro-analytic data analysis package.Behavior Research Methods, Instruments, & Computers,19, 335–337.
Quera, V. (1990). A generalized technique to estimate frequency and duration in time sampling.Behavioral Assessment,12, 409–424.
Quera, V., &Estany, E. (1984). ANSEC: A BASIC package for lag sequential analysis of observational data.Behavior Research Methods, Instruments, & Computers,16, 303–306.
Sackett, G. P., Holm, R., Crowley, C., &Henkins, A. (1979). A FORTRAN program for lag sequential analysis of contingency and cyclicity in behavioral interaction data.Behavior Research Methods & Instruments,11, 366–378.
Schlundt, D. G. (1982). Two PASCAL programs for managing observational data bases and for performing multivariate information analysis and log-linear contingency table analysis of sequential and nonsequential data.Behavior Research Methods & Instruments,14, 351–352.
Suen, H.K., &Ary, D. (1989).Analyzing quantitative behavioral data. Hillsdale, NJ: Eribaum.
Symons, D. K., Wright, R. D., &Moran, G. (1988). Computing lag sequential statistics on dyadic time interval data; The TLAG program.Behavior Research Methods, Instruments, & Computers,20, 343–346.
Yoder, P. J., &Tapp, J. T. (1990). SATS: Sequential analysis of transcripts system.Behavior Research Methods, Instruments, & Computers,22, 339–343.
Author information
Authors and Affiliations
Corresponding authors
Additional information
We would like to thank K. Kienapple, who provided useful comments on an earlier draft, M. T. Anguera, without whom we would not have begun this work, and D. Borkman for her excellent editorial assistance.
Rights and permissions
About this article
Cite this article
Bakeman, R., Quera, V. SDIS: A sequential data interchange standard. Behavior Research Methods, Instruments, & Computers 24, 554–559 (1992). https://doi.org/10.3758/BF03203604
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.3758/BF03203604