SDIS: A sequential data interchange standard

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

[1]  David G. Schlund 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 , 1982 .

[2]  Douglas K. Symons,et al.  Computing lag sequential statistics on dyadic time interval data: The TLAG program , 1988 .

[3]  Richard Deni BASIC-PLUS programs for Sackett’s lag sequential analysis , 1977 .

[4]  Kim Kienapple,et al.  The microanalytic data analysis package , 1987 .

[5]  Richard Holm,et al.  A FORTRAN program for lag sequential analysis of contingency and cyclicity in behavioral interaction data , 1979 .

[6]  Vicenç Quera,et al.  ANSEC: A BASIC package for lag sequential analysis of observational data , 1984 .

[7]  Philip Smith Roger Bakeman John M. Gottman , 1987, Animal Behaviour.

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

[9]  Roger Bakeman,et al.  JOINT and SEQU: FORTRAN routines for the analysis of observational data , 1981 .

[10]  Roger Bakeman,et al.  Computing lag sequential statistics: The ELAG program , 1983 .

[11]  Paul J. Yoder,et al.  SATS: Sequential Analysis of Transcripts System , 1990 .

[12]  Robert B. Arundale SAMPLE and TEST: Two FORTRAN IV programs for analysis of discrete-state, time-varying data using first-order, Markov-chain techniques , 1984 .

[13]  W Gardner CONTIME: Continuous-Time Analysis of Parallel Streams of Behavior. , 1990, Multivariate behavioral research.